编（专）著

1.         Jinchang Ren, Amir Hussain, Jiangbin Zheng, Chenglin Liu, Bin Luo, Huimin Zhao, Xinbo Zhao (Eds.), Advances in Brain Inspired Cognitive Systems, 9th International Conference, BICS 2018, Xi’an, China, July 7-8, 2018, LNCS Vol. 10989, ISBN 978-3-030-00562-7, Springer

2.         J.-H. Lai, C.-L. Liu, X. Chen, J. Zhou, T. Tan, N. Zheng, H. Zha, Pattern Recognition and Computer Vision, First Chinese Conference, PRCV 2018, Guangzhou, China, No. 23-26, 2018, Part I-IV, LNCS, Vol.11256-11259, Springer

3.         Jianhua Tao, Thomas Fang Zheng, Changchun Bao, Dong Wang, Ya Li(Eds.), Man-Machine Speech Communication, ISBN:978-981-10-8110-1, Springer

4.         赵军,刘康，何世柱，陈玉博，知识图谱，ISBN 978-7-04-050984-7，高等教育出版社，2018.12

国际刊物（International Journals）

计算机视觉（Computer Vision）

1.         Weiming Hu, Guodong Tian, Yongxin Kang, Chunfeng Yuan and Stephen Maybank, “Dual Sticky Hierarchical Dirichlet Process Hidden Markov Model and Its Application to Natural Language Description of Motions”, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 40, no. 10, pp: 2355-2373, Oct., 2018.

2.         Junliang Xing, Zhiheng Niu, Junshi Huang, Weiming Hu, Xi Zhou and Shuicheng Yan, “Towards Robust and Accurate Multi-View and Partially-Occluded Face Alignment”, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 40, no. 4, pp: 987-1001, 2018.

3.         Ou Wu, Xue Mao, and Weiming Hu, “Iteratively Divide-and-conquer learning for Nonlinear Classification and Ranking”, ACM Intelligent Systems and Technology (TIST), vol. 9, no. 2, Article, no. 18:1-26, January, 2018.

4.         Weiming Hu, Baoxin Wu, Pei Wang, Chunfeng Yuan, Yangxi Li, and Stephen Maybank, “Context-Dependent Random Walk Graph Kernels and Tree Pattern Graph Matching Kernels with Applications to Action Recognition”, IEEE Transactions on Image Processing (TIP), vol. 27, no. 10, pp: 5060-5075, October., 2018.

5.         Weiming Hu, Yabo Fan, Junliang Xing, Liang Sun, Zhaoquan Cai, and Stephen Maybank, “Deep Constrained Siamese Hash Coding Network and Load-Balanced Locality-Sensitive Hashing for Near Duplicate Image Detection”, IEEE Transactions on Image Processing (TIP), vol. 27, no. 9, pp: 4452-4464, September, 2018.

6.         Junliang Xing, Weiming Hu, Haizhou Ai, and Shuicheng Yan, “Fat Region: A Fast Adaptive Tree-Structured Region Extraction Approach”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 3, pp: 601-615, 2018.

7.         Yihong Wu, Fulin Tang and Heping Li, “Image Based Camera Localization: An Overview. Visual Computing for Industry”, Biomedicine and Art, Vol.1, pp.1-13, 2018.

8.         Haoren Wang, Juan Lei, Ao Li, Yihong Wu, “A Geometry-Based Point Cloud Reduction Method for Mobile Augmented Reality System.”, Journal of Computer Sciences and Technology, Vol. 33, No. 6, pp: 1164-1177, 2018.

9.         Xiaomei Zhao, Yihong Wu, Guidong Song, Zhenye Li, Yazhuo Zhang, Yong Fan., “A Deep Learning Model Integrating FCNNs and CRFs for Brain Tumor Segmentation.”, Medical Image Analysis, Vol. 43, pp: 98-111, 2018.

10.     Qiang Zheng, Yihong Wu, Yong Fan., “Integrating Semi-supervised and Supervised Learning Methods for Label Fusion in Multi-Atlas Based Image Segmentation”, Frontiers in Neuroinformatics, Vol. 12, pp: 1-11, 2018.,

11.     Jianwei Li, Wei Gao, Heping Li, Fulin Tang, Yihong Wu., “Robust and Efficient CPU-based RGB-D Scene Reconstruction.”, Sensors, 18(11): 1-15, 2018.

12.     Jianwei Li, Wei Gao, Yihong Wu., “Elaborate Scene Reconstruction with a Consumer Depth Camera”, International Journal of Automation and Computing, 15(4):443-453, 2018.

13.     Yangdong Liu, Wei Gao, Zhanyi Hu., “Geometrically Stable Tracking for Depth Images Based 3D Reconstruction on Mobile Devices”. ISPRS, Journal of Photogrammetry and Remote Sensing, 143(9), 222-232.2018

14.     Xinrui Meng, Wei Gao, Zhanyi Hu., “Dense RGB-D SLAM with Multiple Cameras.”, Sensors, 18(7), 2018

15.     Q Dong, H Wang, Z Hu, “Statistics of Visual Responses to Image Object Stimuli from Primate AIT Neurons to DNN Neurons”, Neural Computation, 30: 447-476, 2018.

16.     Q Dong, M Shu, H Cui, H Xu, Z Hu, “Learning Stratified 3D Reconstruction”, SCIENCE CHINA, Information Sciences, 61(2): 023101, 2018.

17.     Q. Dong, H. Wang, Z. Hu, “Commentary: Using Goal-Driven Deep Learning Models to Understand Sensory Cortex, Frontiers in Computational”, Neuroscience, 2018(doi: 10.3389/fncom.2018.00004.)

18.     L. He, G. H. Wang and Z. Y. Hu, “Learning Depth from Single Images with Deep Neural Network Embedding Focal Length”, IEEE Transactions on Image Processing, 27(9): 4676-4689, 2018

19.     Xiang Gao, Shuhan Shen*, Yang Zhou, Hainan Cui, Lingjie Zhu, Zhanyi Hu, “Ancient Chinese Architecture 3D Preservation by Merging Ground and Aerial Point Clouds”, ISPRS, Journal of Photogrammetry and Remote Sensing, 2018.143(9)., 72-84

20.     Xiang Gao, Lihua Hu, Hainan Cui, Shuhan Shen, Zhanyi Hu, “Accurate and Efficient Ground-to-Aerial Model Alignment”, Pattern Recognition, 2018.76(4)., 288-302

21.     Ting Zhang, Hong Wang, Qiulei Dong, “Deep Disentangling Siamese Network for Frontal Face Synthesis under Neutral Illumination”, IEEE Signal Processing Letters, 2018.25(9)., 1344-1348

22.     Zhiwei Fang, Jing Liu, Xueliang Liu, Qu Tang, Yong Li, Hanqing Lu, “BTDP: Toward Sparse Fusion with Block Term Decomposition Pooling for Visual Question Answering”, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2018

23.     Fei Zhao, Jinqiao Wang, Yi Wu, Ming Tang, “Adversarial Deep Tracking, IEEE Transactions on Circuits and Systems for Video Technology”, 2018;1-1

24.     Jing Liu, Yuhang Wang, Yong Li, Jun Fu, Jiangyun Li, Hanqing Lu, “Collaborative Deconvolutional Neural Networks for Joint Depth Estimation and Semantic Segmentation”, IEEE Trans. Neural Netw. Learning Syst, 2018;29(11):5655-5666

25.     Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Xiaobo Wang, Hailin Shi, Stan Z. Li. “Detecting Face with Densely Connected Face Proposal Network”, Neurocomputing. 284: 119-127. 2018.

26.     Zichang Tan, Jun Wan, Zhen Lei, Ruicong Zhi, Guodong Guo, Stan Z. Li. “Efficient Group-n Encoding and Decoding for Facial Age Estimation”, IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(11): 2610-2623. 2018.

27.     Xiaobo Wang, Zhen Lei, Shengcai Liao, Xiaojie Guo, Yang Yang, Stan Z. Li. “Dependence-Aware Feature Coding for Person Re-Identification”, IEEE Signal Processing Letters. 25(4):506-510. 2018.

28.     Jun Wan, Zichang Tan, Zhen Lei, Guodong Guo, Stan Z. Li, “Auxiliary Demographic Information Assisted Age Estimation with Cascaded Structure”, IEEE Transactions on Cybernetics. 48(9):2531-2541. 2018.

29.     Wen Fang, Hai-Miao Hu, Zihao Hu, Shengcai Liao, Bo Li, “Perceptual Hash-Based Feature Description for Person Re-Identification”, Neurocomputing, 272:520-531, 2018.

30.     Yang-Yu Fan, Shu Liu, Bo Li, Zhe Guo, Ashok Samal, Jun Wan, Stan Z. Li, “Label Distribution-Based Facial Attractiveness Computation by Deep Residual Learning”, IEEE Transactions on Multimedia. 20(8): 2196-2208. 2018.

31.     Pichao Wang, Wanqing Li, Philip Ogunbona, Jun Wan, Sergio Escalera, RGB-D-based Human Motion Recognition with Deep Learning: A Survey, Computer Vision and Image Understanding, 2018;171:118-139

32.     Shibiao Xu, Xingjia Pan, Er Li, Baoyuan Wu, Shuhui Bu, Weiming Dong, Shiming Xiang, Xiaopeng Zhang, “Automatic Building Rooftop Extraction from Aerial Images via Hierarchical RGB-D Priors”, IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, No. 12, pp.7369-7387, 2018

33.     Wei Ma, Yue Qin, Shibiao Xu, Xiaopeng Zhang, “Interactive Stereo Image Segmentation via Adaptive Prior Selection”, Multimedia Tools and Applications, Vol. 77, No. 21, pp.28709-28724, 2018

34.     Dawar Khan, Sehat Ullah, Dongming Yan, Ihsan Rabbi, Paul Richard, Thuong N. Hoang, Mark Billinghurst, Xiaopeng Zhang, “Robust Tracking Through the Design of High Quality Fiducial Markers: An Optimization Tool for ARToolKit”, IEEE access, No. 6, pp.22421-22433, 2018

35.     Huaiyu Li, Weiming Dong, Baogang Hu, “Facial Image Attributes Transformation via Conditional Recycle Generative Adversarial Networks”, Journal of Computer Science and Technology, 33(3): 511-521, 2018

36.     Lifang Wu, Chuncan Yan, Meng Jian, Shuang Liu, Weiming Dong, Chang Wen Chen, “A Fast Hybrid Retargeting Scheme with Seam Context and Content Aware Strip Partition”, Neurocomputing, 286: 198-213, 2018

图象/视频处理与分析（Image/Video Processing and,Analysis）

37.     Hongsong Wang and Liang Wang, “Beyond Joints: Learning Representations from Primitive Geometries for Skeleton-based Action Recognition and Detection,” IEEE Trans. on Image Processing, 2018;27(9):4382-4394

38.     Yunlong Wang, Fei Liu, Kunbo Zhang, Guangqi Hou, Zhenan Sun and Tieniu Tan, “LFNet: A Novel Bidirectional Recurrent Convolutional Neural Network for Light-Field Image Super-Resolution,” IEEE Transactions on Image Processing, 2018;27(9):4274-4286

39.     Jufeng Yang, Dongyu She, Ming Sun, Ming-Ming Cheng, Paul L. Rosin, and Liang Wang, “Visual Sentiment Prediction Based on Automatic Discovery of Affective Regions,” IEEE Transactions on Multimedia, Vol. 20, No. 9, pp.2513-2525, 2018.

40.     Peng Xu, Qiyue Yin, Yongye Huang, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Tao Xiang, W. Bastiaan Kleijn, and Jun Guo, “Cross-modal Subspace Learning for Fine-grained Sketch-based Image Retrieval,” Neurocomputing, vol.278, pp.75-86, 2018.

41.     Quan Liu, Yingying Chen, Jinqiao Wang, Sijiong Zhang, “Multi-view Pedestrian Captioning with an Attention Topic CNN Model”, Computers in Industry, 97C.47-53, 2018

42.     Chenghua Li, Chunjie Zhang, Kun Ding, Gang Li, Jian Cheng, Hanqing Lu, “BundleNet: Learning with Noisy Label via Sample Correlations”, IEEE Access, 2018;6:2367-2377

43.     Peisong Wang, Qinghao Hu, Zhiwei Fang, Chaoyang Zhao, Jian Cheng, “DeepSearch: A Fast Image Search Framework for Mobile Devices”, ACM Transactions on Multimedia Computing Communications and Applications (TOMM), Vol.14(1), 2018

44.     Lingxiang Wu, Min Xu, Guibo Zhu, Jinqiao Wang, Tianrong Rao, “Appearance Features in Encoding Color Space for Visual Surveillance”, Neurocomputing, 2018;308:21-30

45.     Weize Quan, Kai Wang, Dongming Yan, Xiaopeng Zhang, “Distinguishing Between Natural and Computer-Generated Images Using Convolutional Neural Networks”, IEEE Transactions on Information Forensics and Security, Vol. 13, No. 11, pp. 2772-2787, November 2018

46.     Dongming Yang, Jiguang Zhang, Shibiao Xu, Shuiying Ge, G. Hemantha Kumar, Xiaopeng Zhang, “Real-time Pedestrian Detection Via Hierarchical Convolutional Feature”, Multimedia Tools and Applications, Vol. 77, No. 19, pp.25841-25860, 2018

47.     Chengcheng Ma, Jiguang Zhang, Shibiao Xu, Weiliang Meng, Runping Xi, G. Hemantha Kumar, Xiaopeng Zhang, “Accurate Blind Deblurring Using SalientPatch-Based Prior for Large-Size Images”, Multimedia Tools and Applications, Vol. 77, No. 21, pp.28077-28100, 2018

48.     Mengke Yuan, Xiaopeng Zhang, “Bilateral Filter Acceleration Based on Weighted Variable Projection”, Electronics Letters, Vol. 54, No. 6, pp.352 - 353, 22nd March 2018

49.     Zhu-cui Jing, Juntao Ye and Guoliang Xu. “A Geometric Flow Approach for Region Based Image Segmentation-theoretical Analysis”, Acta Mathematicae Applicatae Sinica, 2018, 34(1): 65-76.

模式识别（Pattern Recognition）

50.     Xuyao Zhang, Fei Yin, Yanming Zhang, Chenglin Liu, Yoshua Bengio, “Drawing and Recognizing Chinese Characters with Recurrent Neural Network”, IEEE Trans. on Pattern Analysis and Machine Intelligence, 40(4): 849-862, 2018.

51.     Yuanyuan Shen, Chenglin Liu, “Incremental Adaptive Learning Vector Quantization for Character Recognition with Continuous Style Adaptation”, Cognitive Computation, 10: 334-346, 2018.

52.     Wenhao He, Xuyao Zhang, Fei Yin, Chenglin Liu, “Multi-oriented and Multi-lingual Scene Text Detection with Direct Regression”, IEEE Trans. Image Processing, 27(11): 5406-5419, 2018.

53.     Guoshuai Liu, Ruiqi Wang, Fei Yin, Jean-Marc Ogier, Chenglin Liu, “Fast Genre Classification of Web Images Using Global and Local Features”, CAAI Trans. Intelligence Technology, 3(3): 161-168, 2018.

54.     Hongsong Wang and Liang Wang, “Learning Content and Style: Joint Action Recognition and Person Identification from Human Skeletons,” Pattern Recognition, 2018;81:23-35

55.     Yan Huang, Wei Wang and Liang Wang, “Video Super-Resolution via Bidirectional Recurrent Convolutional Networks,” IEEE Trans. on Pattern Analysis and Machine Intelligence, 2018;40(4):1015-1028

56.     Qiyue Yin, Shu Wu, Junge Zhang and Liang Wang, “Multi-view Clustering via Unified and View Specific Embeddings Learning,” IEEE Trans. on Neural Networks and Learning Systems, 2018;29(11):5541-5553

57.     Ran He, Tieniu Tan, Larry Davis and Zhenan Sun, “Learning Structured Ordinal Measures for Video based Face Recognition,” Pattern Recognition, 2018;75:4-14

58.     Shu Zhang, Ran He, Zhenan Sun and Tieniu Tan, “DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification,” IEEE Trans. on Information Forensics and Security, 2018;13(3):637-647

59.     Bo Peng, Wei Wang, Jing Dong and Tieniu Tan, “Image Forensics Based on Planar Contact Constraints of 3D Objects,” IEEE Trans. on Information Forensics and Security, 2018;13(2):377-392

60.     Yunlian Sun, Man Zhang, Zhenan Sun and Tieniu Tan, “Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2018;40(2):332-351

61.     Hongwen Zhang, Qi Li, Zhenan Sun, and Yunfan Liu, “Combining Data-driven and Model-driven Methods for Robust Facial Landmark Detection,” IEEE Transactions on Information Forensics and Security, 2018;13(10):2409-2422

62.     Jie Gui, Tongliang Liu, Zhenan Sun, Dacheng Tao and Tieniu Tan, “Fast Supervised Discrete Hashing,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2018;40(2):490-496

63.     Jie Gui, Tongliang Liu, Zhenan Sun, Dacheng Tao and Tieniu Tan, “Supervised Discrete Hashing with Relaxation,” IEEE Trans. on Neural Networks and Learning Systems, 2018;29(3):608-617

64.     Dong Wang, Ran He, Liang Wang and Tieniu Tan, “Robust Linear Representation via Exploiting Structure Prior,” Pattern Recognition, 2018;76:560-568

65.     Weiqi Zhao, Zhang Zhang and Kaiqi Huang, “Gestalt laws based tracklets analysis for human crowd understanding,” Pattern Recognition, vol. 75, pp. 112-127, 2018.

66.     Qi Zhang, Haiqing Li, Zhenan Sun, and Tieniu Tan, “Deep Feature Fusion for Iris and Periocular Biometrics on Mobile Devices,” IEEE Transactions on Information Forensics and Security (TIFS), vol. 13, no. 11, pp. 2897-2912, 2018.

67.     Xiang Wu, Ran He, Zhenan Sun and Tieniu Tan, “A Light CNN for Deep Face Representation with Noisy Labels,” IEEE Transactions on Information Forensics and Security, vol. 13, no. 11, pp. 2884-2896, 2018.

68.     Deepak Kumar Jain, Zhang Zhang, and Kaiqi Huang, “Random walk-based feature learning for micro-expression recognition,” Pattern Recognition Letters, vol.115, pp.92-100, 2018.

69.     Chi Zhang, Guangqi Hou, Zhaoxiang Zhang, Zhenan Sun, and Tieniu Tan, “Efficient auto-refocusing for light field camera,” Pattern Recognition, vol.81, pp.176-189, 2018.

70.     Yuchun Fang, Qiulong Yuan, and Zhaoxiang Zhang, “On the role of sparsity in feature selection and an innovative method LRMI,” Neurocomputing, vol.321, pp.237-250, 2018.

71.     Zhaoxiang Zhang, Jiaxin Chen, Qiang Wu, and Ling Shao, “GII Representation-Based Cross-View Gait Recognition by Discriminative Projection with List-Wise Constraints,” IEEE Transactions on Cybernetics, vol.48, no.10, pp.2935-2947, 2018.

72.     Congqi Cao, Yifan Zhang, Chunjie Zhang, Hanqing Lu, “Body Joint Guided 3-D Deep Convolutional Descriptors for Action Recognition”, IEEE Trans. Cybernetics, 2018;48(3):1095-1108

73.     Yifan Zhang, Congqi Cao, Jian Cheng, Hanqing Lu, “EgoGesture: A New Dataset and Benchmark for Egocentric Hand Gesture Recognition”, IEEE Trans. Multimedia, 2018;20(5):1038-1050

74.     Chunjie Zhang, Jian Cheng, Qi Tian. “Multiview Label Sharing for Visual Representations and Classification”, IEEE Transactions on Multimedia (TMM), 2018;20(4):903-913

75.     Jian Cheng, Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, “Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018;19(10):4730-4743

76.     Chunjie Zhang, Guibo Zhu, Chao Liang, Yifan Zhang, Qingming Huang, Qi Tian, “Image Class Prediction by Joint Object Context and Background Modeling”, IEEE Trans. Circuits Syst. Video Techn, 2018;28(2):428-438

77.     Jun Wan, Sergio Escaler, Francisco J. Perales, Josef Kittler, “Articulated Motion and Deformable Objects”, Pattern Recognition, 79: 55-64, 2018.

78.     Tingzhao Yu, Chaoxu Guo, Lingfeng Wang, Shiming Xiang and Chunhong Pan, “Self-Paced AutoEncoder”, IEEE Signal Processing Letters, vol. 25, no. 7, pp. 1054-1058, 2018.

79.     Tingzhao Yu, Chaoxu Guo, Lingfeng Wang, Huxiang Gu, Shiming Xiang and Chunhong Pan, “Joint Spatial-temporal Attention for Action Recognition”, Pattern Recognition Letters, vol. 112, pp. 226-233, 2018.

80.     Tingzhao Yu, Lingfeng Wang, Huxiang Gu, Shiming Xiang and Chunhong Pan, “Deep Generative Video Prediction”, Pattern Recognition Letters, vol. 110, pp. 58-65, 2018.

机器学习(Machine learning)

81.     Feifei Zhao, Yi Zeng, and Bo Xu, A Brain-inspired Decision-Making Spiking Neural Network and Its Application in Unmanned Aerial Vehicle. Frontiers in Neurorobotics, 2018;12:56.

82.     Qingqun Kong, Jiuqi Han, Yi Zeng, Bo Xu, Efficient Coding Matters in the Organization of the Early Visual System. Neural Networks, Elsevier, 2018;105:218-226.

83.     Xiaomei kang, Qingqun Kong, Yi Zeng, Bo Xu, A Fast Contour Detection Model Inspired by Biological Mechanisms in Primary Vision System. Frontiers in Computational Neuroscience, 2018;12:28.

84.     Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu, “Recent Advances in Efficient Computation of Deep Convolutional Neural Networks”, Frontiers of Information Technology & Electronic Engineering (FITEE), 2018;19(1):64-77

数据挖掘（Data Mining）

85.     Qiang Liu, Feng Yu, Shu Wu and Liang Wang, “Mining Significant Microblogs for Misinformation Identification: An Attention-based Approach,” ACM Trans. on Intelligent Systems and Technology (TIST), 2018;9(5):50:1-50:20

计算机图形学（Computer Graphics）

86.     Dawar Khan, Dongming Yan, Sheng Gui, Benzhuo Lu, Xiaopeng Zhang, Molecular Surface Remeshing with Local Region Refinement, International Journal of Molecular Sciences, Vol. 19, No. 5, article 1383, 6 May 2018.

87.     Lei Yi, Hongjun Li, Jianwei Guo, Oliver Deussen, Xiaopeng Zhang, Tree Growth Modelling Constrained by Growth Equations, Computer Graphics Forum, Vol. 37, No. 1, pp. 239-253, 2018

88.     Dawar Khan, Dongming Yan, Yiqun Wang, Kaimo Hu, Juntao Ye, Xiaopeng Zhang, High-Quality 2D Mesh Generation without Obtuse and Small Angles, Computers & Mathematics with Applications, Vol. 75, No. 2, pp. 582-595, 2018.

89.     Dawar Khan, Dongming Yan, Fan Ding, Yixin Zhuang, Xiaopeng Zhang, Surface Remeshing with Robust User-Guided Segmentation, Computational Visual Media, 4(2): pp. 113-122, 2018

90.     Xingyi Du, Xiaohan Liu, Dongming Yan, Caigui Jiang, Juntao Ye and Hui Zhang. Field-Aligned Isotropic Surface Remeshing. Computer Graphics Forum. 37(6):343-357, 2018

91.     Sheng Gui, Dawar Khan, Qin Wang, Dongming Yan and Ben-Zhuo Lu. Frontiers in Biomolecular Mesh Generation and Molecular Visualization Systems. Visual Computing for Industry, Biomedicine and Art, 2018: 1:7.

92.     Lei Ma, Jianwei Guo, Dongming Yan, Hanqiu Sun and Yanyun Chen. Instant Stippling on 3D Scenes. Computer Graphics Forum (Pacific Graphics), 2018, 37(7).

93.     Yuxin Mao, Lifang Wu, Dongming Yan, Jianwei Guo, Chang Wen Chen and Baoquan Chen. Generating hybrid interior structure for 3D printing. Computer Aided Geometric Design, 2018, 62: 63-72.

94.     Mohamed Ibrahim, Dongming Yan, Fold and Fit: Space Conserving Shape Editing, Computers & Graphics, 2018;70:316-326

95.     Haocan Xu, Jituo Li, Guodong Lu, Haiji Deng, Dongliang Zhang and Juntao Ye. Modeling 3D Human Body with a Smart Vest. Computer & Graphics, 2018, 75: 44-58.

96.     Fan Tang, Weiming Dong, Yiping Meng, Xing Mei, Feiyue Huang, Xiaopeng Zhang, Oliver Deussen: Animated Construction of Chinese Brush Paintings. IEEE Transactions on Visulization and Computer Graphics, 24(12): 3019-3031, 2018

97.     Dachuan Cheng, Jian Shi, Yanyun Chen, Xiaoming Deng, Xiaopeng Zhang, Learning Scene Illumination by Pairwise Photos from Rear and Front Mobile Cameras, Computer Graphics Forum, 2018;37(7):213-221

98.     Lan Chen, Juntao Ye, Liguo Jiang, Chengcheng Ma, Zhanglin Cheng, Xiaopeng Zhang, Synthesizing Cloth Wrinkles by CNN-based Geometry Image Superresolution, Computer Animation and Virtual Worlds, 2018;29(3-4): e1810

多媒体计算（Multimedia Computing）.

99.     Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang, Learning Multi-task Correlation Particle Filters for Visual Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Volume: PP, Issue: 99, DOI: 10.1109/TPAMI.2018.2797062, 2018.1.

100.  Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang, Robust Structural Sparse Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Volume: PP, Issue: 99, DOI: 10.1109/TPAMI.2018.2797082, 2018.1. 

101.  Tianzhu Zhang, Si Liu, Changsheng Xu, Bin Liu, Ming-Hsuan Yang, Correlation Particle Filter for Visual Tracking, IEEE Transactions on Image Processing (TIP), 27(6):2676-2687,2018.6.

102.  Junyu Gao, Tianzhu Zhang, Xiaoshan Yang, Changsheng Xu, P2T: Part-to-Target Tracking via Deep Regression Learning, IEEE Transactions on Image Processing (TIP), 27(6): 3074-3086,2018.6.

103.  Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu: Deep-Structured Event Modeling for User-Generated Photos. IEEE Trans. Multimedia 20(8): 2100-2113, 2018

104.  Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu: Text2Video: An End-to-end Learning Framework for Expressing Text with Videos. IEEE Trans. Multimedia 20(9): 2360-2370, 2018

105.  Yifan Jiao, Zhetao Li, Shucheng Huang, Xiaoshan Yang, Bin Liu, Tianzhu Zhang: Three-Dimensional Attention-Based Deep Ranking Model for Video Highlight Detection. IEEE Trans. Multimedia 20(10): 2693-2705, 2018

医学图像分析(Medical Image Analysis)

106.  Sui J, Qi S, van Erp TGM, Bustillo J, Jiang R, Lin D, Turner JA, Damaraju E, Mayer AR, Cui Y, Fu Z, Du Y, Chen J, Potkin SG, Preda A, Mathalon DH, Ford JM, Voyvodic J, Mueller BA, Belger A, McEwen SC, O'Leary DS, McMahon A, Jiang T, Calhoun VD. Multimodal Neuromarkers in Schizophrenia Via Cognition-Guided MRI Fusion. Nature Communications 2018;9(1):3028.

107.  Qi S, Yang X, Zhao L, Calhoun VD, Perrone-Bizzozero N, Liu S, Jiang R, Jiang T, Sui J, Ma X. 2018. MicroRNA132 Associated Multimodal Neuroimaging Patterns in Unmedicated Major Depressive Disorder. Brain, 141(3):916-926.

108.  Jiang R, Abbott CC, Jiang T, Du Y, Espinoza R, Narr KL, Wade B, Yu Q, Song M, Lin D, Chen J, Jones T, Argyelan M, Petrides G, Sui J, Calhoun VD (2018): SMRI Biomarkers Predict Electroconvulsive Treatment Outcomes: Accuracy with Independent Data Sets. Neuropsychopharmacology, 43(5):1078-1087

109.  Luo N, Sui J, Chen J, Zhang F, Tian L, Lin D, Song M, Calhoun VD, Cui Y, Yan H, Yan J, Vergara VM, Zheng F, Liu J, Yang Z, Zuo N, Fan L, Xu K, Liu S, Li J, Xu Y, Liu S, Lv L, Chen J, Chen Y, Guo H, Li P, Lu L, Wan P, Wang H, Yang Y, Zhang H, Zhang D, Jiang T. (2018). A Schizophrenia-related Genetic-Brain-Cognition Pathway Revealed in a Large Chinese Population. EBioMedicine, 37:471-482.

110.  Qi, S., Calhoun, V.D., van Erp, T.G.M., Bustillo, J., Damaraju, E., Turner, J.A., Du, Y., Yang, J., Chen, J., Yu, Q., Mathalon, D.H., Ford, J.M., Voyvodic, J., Mueller, B.A., Belger, A., McEwen, S., Potkin, S.G., Preda, A., Jiang, T., and Sui J. Multimodal Fusion with Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia. IEEE Trans Med Imaging, 2018. 1(37):93-105.

111.  Jiang R, Calhoun VD, Zuo N, Lin D, Li J, Fan L, Qi S, Sun H, Fu Z, Song M, Jiang T, Sui J. 2018. Connectome-based Individualized Prediction of Temperament Trait Scores. NeuroImage, 183:366-374.

112.  Osuch E, Gao S, Wammes M, Theberge J, Willimason P, Neufeld RJ, Du Y, Sui J, Calhoun V. 2018. Complexity in Mood Disorder Diagnosis: fMRI Connectivity Networks Predicted Medication-Class of Response in Complex Patients. Acta Psychiatr Scand, 138(5):472-482.

113.  Gao S, Calhoun VD, Sui J. 2018. Machine Learning in Major Depression: From Classification to Treatment Outcome Prediction. CNS Neurosci Ther, 24(11):1037-1052.

114.  Zhi D, Calhoun VD, Lv L, Ma X, Ke Q, Fu Z, Du Y, Yang Y, Yang X, Pan M, Qi S, Jiang R, Yu Q, Sui J. Aberrant Dynamic Functional Network Connectivity and Graph Properties in Major Depressive Disorder. Frontiers in Psychiatry, 9:339.

115.  Yao D, Calhoun VD, Fu Z, Du Y, Sui J. 2018. An Ensemble Learning System for a 4-Way Classification of Alzheimer's Disease and Mild Cognitive Impairment. J Neurosci Methods, 15(302):75-81.

116.  Feng F, Wang P, Zhao K, Zhou B, Yao H, Meng Q, Wang L, Zhang Z, Ding Y, Wang L, An N, Zhang X, Liu Y. Radiomic Features of Hippocampal Subregions in Alzheimer’s Disease and Amnestic Mild Cognitive Impairment. Front Aging Neurosci, 2018;10.

117.  Xu K, Liu Y, Zhan Y, Ren J, Jiang T. BRANT: A Versatile and Extendable Resting-State fMRI Toolkit. Frontiers in Neuroinformatics, 2018;12(52).

118.  Chen J, Hutchison KE, Bryan AD, Filbey FM, Calhoun VD, Claus ED, Lin D, Sui J, Du Y, Liu J, Opposite Epigenetic Associations with Alcohol Use and Exercise Intervention, Front Psychiatry, 9:594, 2018.

119.  Cheng C, Fan L, Xia X, Eickhoff SB, Li H, Li H, Chen J, Jiang T, Rostro-caudal organization of the Human Posterior Superior Temporal Sulcus Revealed by Connectivity Profiles. Hum Brain Mapp, 39:5112-5125, 2018.

120.  Cui Y, Liu B, Song M, Lipnicki DM, Li J, Xie S, Chen Y, Li P, Lu L, Lv L, Wang H, Yan H, Yan J, Zhang H, Zhang D, Jiang T, Auditory Verbal Hallucinations Are Related to Cortical Thinning in The Left Middle Temporal Gyrus of Patients with Schizophrenia, Psychological Medicine, 48:115-122, 2018.

121.  Cui Y, Song M, Lipnicki DM, Yang Y, Ye C, Fan L, Sui J, Jiang T, He J, Subdivisions of The Posteromedial Cortex in Disorders of Consciousness, Neuroimage Clin, 20:260-266, 2018.

122.  Du Y, Fryer SL, Fu Z, Lin D, Sui J, Chen J, Damaraju E, Mennigen E, Stuart B, Loewy RL, Mathalon DH, Calhoun VD, Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis, Neuroimage, 180:632-645, 2018.

123.  Du Y, Fryer SL, Lin D, Sui J, Yu Q, Chen J, Stuart B, Loewy RL, Calhoun VD, Mathalon DH, Identifying Functional Network Changing Patterns in Individuals at Clinical High-Risk for Psychosis and Patients with Early Illness Schizophrenia: A Group ICA Study, Neuroimage Clin, 17:335-346, 2018.

124.  Fang X, Wang Y, Cheng L, Zhang Y, Zhou Y, Wu S, Huang H, Zou J, Chen C, Chen J, Wang H, Jiang T, Prefrontal Dysconnectivity Links to Working Memory Deficit in First-Episode Schizophrenia, Brain Imaging Behav, 12:335-344, 2018.

125.  Feng F, Wang P, Zhao K, Zhou B, Yao H, Meng Q, Wang L, Zhang Z, Ding Y, Wang L, An N, Zhang X, Liu Y, Radiomic Features of Hippocampal Subregions in Alzheimer's Disease and Amnestic Mild Cognitive Impairment, Front Aging Neurosci, 10:290, 2018.

126.  Fu Z, Tu Y, Di X, Du Y, Sui J, Biswal BB, Zhang Z, de Lacy N, Calhoun VD, Transient Increased Thalamic-Sensory Connectivity and Decreased Whole-Brain Dynamism in Autism, Neuroimage, 2018.

127.  Genon S, Reid A, Li H, Fan L, Muller VI, Cieslik EC, Hoffstaedter F, Langner R, Grefkes C, Laird AR, Fox PT, Jiang T, Amunts K, Eickhoff SB, The Heterogeneity of the Left Dorsal Premotor Cortex Evidenced by Multimodal Connectivity-Based Parcellation and Functional Characterization, Neuroimage, 170:400-411, 2018.

128.  Huang H, Shu C, Chen J, Zou J, Chen C, Wu S, Xiao L, Liu Z, Wang H, Zhou Y, Wang G, Jiang T, Altered Corticostriatal Pathway in First-episode Paranoid Schizophrenia: Resting-state Functional and Causal Connectivity Analyses, Psychiatry Res Neuroimaging, 272:38-45, 2018.

129.  Jiang T, Recent Progress in Basic and Clinical Research on Disorders of Consciousness, Neuroscience bulletin, 34:589-591, 2018.

130.  Kuang LD, Lin QH, Gong XF, Cong F, Sui J, Calhoun VD, Model order effects on ICA of resting-state complex-valued fMRI data: Application to schizophrenia, J Neurosci Methods, 304:24-38, 2018.

131.  Li J, Zhang X, Li A, Liu S, Qin W, Yu C, Liu Y, Liu B, Jiang T, Polygenic Risk for Alzheimer's Disease Influences Precuneal Volume in Two Independent General Populations, Neurobiol Aging, 64:116-122, 2018.

132.  Lin D, Chen J, Ehrlich S, Bustillo JR, Perrone-Bizzozero N, Walton E, Clark VP, Wang YP, Sui J, Du Y, Ho BC, Schulz CS, Calhoun VD, Liu J., Cross-Tissue Exploration of Genetic and Epigenetic Effects on Brain Gray Matter in Schizophrenia, Schizophrenia bulletin, 44:443-452, 2018.

133.  Liu S, Li A, Zhu M, Li J, Liu B., Genetic Influences on Cortical Myelination in The Human Brain, Genes Brain Behav, e12537, 2018.

134.  Liu S, Wang Y, Xu K, Ping F, Li F, Wang R, Cheng X., Voxel-based Comparison of Brain Glucose Metabolism Between Patients with Cushing's Disease and Healthy Subjects, Neuroimage Clin, 17:354-358, 2018.

135.  Rao S, Luo N, Sui J, Xu Q, Zhang F., Effect of the SIRT1 Gene On Regional Cortical Grey Matter Density in The Han Chinese Population, Br J Psychiatry:1-5, 2018.

136.  Si J, Dang Y, Zhang Y, Li Y, Zhang W, Yang Y, Cui Y, Lou X, He J, Jiang T., Spinal Cord Stimulation Frequency Influences the Hemodynamic Response in Patients with Disorders of Consciousness, Neuroscience bulletin, 2018.

137.  Song M, Yang Y, He J, Yang Z, Yu S, Xie Q, Xia X, Dang Y, Zhang Q, Wu X, Cui Y, Hou B, Yu R, Xu R, Jiang T., Prognostication of Chronic Disorders of Consciousness Using Brain Functional Networks and Clinical Characteristics, Elife 7, 2018.

138.  Song M, Zhang Y, Cui Y, Yang Y, Jiang T., Brain Network Studies in Chronic Disorders of Consciousness: Advances and Perspectives, Neuroscience Bulletin, 2018.

139.  Su C, Jiang J, Zhang S, Shi J, Xu K, Shen N, Zhang J, Li L, Zhao L, Zhang J, Qin Y, Liu Y, Zhu W., Radiomics based on Multicontrast MRI Can Precisely Differentiate Among Glioma Subtypes and Predict Tumour-Proliferative Behaviour, Eur Radiol, 2018.

140.  Wang C, Liu B, Zhang X, Cui Y, Yu C, Jiang T., Multilocus Genetic Profile in Dopaminergic Pathway Modulates the Striatum and Working Memory, Sci Rep, 8:5372, 2018.

141.  Wang J, Feng X, Wu J, Xie S, Li L, Xu L, Zhang Y, Ren X, Hu Z, Lv L, Hu X, Jiang T., Alterations of Gray Matter Volume and White Matter Integrity in Maternal Deprivation Monkeys, Neuroscience, 384:14-20, 2018.

142.  Wang J, Zuo Z, Xie S, Miao Y, Ma Y, Zhao X, Jiang T., Parcellation of Macaque Cortex with Anatomical Connectivity Profiles, Brain Topogr, 31:161-173, 2018.

143.  Wu T, Fan J, Chen Y, Xiang J, Zhu D, Zhang J, Shi J, Jiang T., Interictal Abnormalities of Neuromagnetic Gamma Oscillations in Migraine Following Negative Emotional Stimulation, Front Behav Neurosci, 12:169, 2018.

144.  Xiao X, Zheng F, Chang H, Ma Y, Yao YG, Luo XJ, Li M., The Gene Encoding Protocadherin 9 (PCDH9), a Novel Risk Factor for Major Depressive Disorder, Neuropsychopharmacology, 43:1128-1137, 2018.

145.  Xie S, Liu B, Wang J, Zhou Y, Cui Y, Song M, Chen Y, Li P, Lu L, Lv L, Wang H, Yan H, Yan J, Zhang H, Zhang D, Jiang T., Hyperconnectivity in Perisylvian Language Pathways in Schizophrenia with Auditory Verbal Hallucinations: A Multi-site diffusion MRI Study, Schizophr Res, 2018.

146.  Xu Q, Fu J, Liu F, Qin W, Liu B, Jiang T, Yu C., Left Parietal Functional Connectivity Mediates the Association Between COMT rs4633 and Verbal Intelligence in Healthy Adults, Front Neurosci, 12:233, 2018.

147.  Yan X, Wang Y, Xu L, Liu Y, Song S, Ding K, Zhou Y, Jiang T, Lin X., Altered Functional Connectivity of the Primary Visual Cortex in Adult Comitant Strabismus: A Resting-State Functional MRI Study, Curr Eye Res, 2018.

148.  Yang Y, Yu H, Li W, Liu B, Zhang H, Ding S, Lu Y, Jiang T, Lv L., Association between cerebral dopamine neurotrophic factor (CDNF) 2 polymorphisms and schizophrenia susceptibility and symptoms in the Han Chinese population, Behav Brain Funct, 14:1, 2018.

149.  Zhang J, Zhang J, Yu S., Hot Anchors: A Heuristic Anchors Sampling Method in RCNN-Based Object Detection. Sensors (Basel);18(10) , 2018.

150.  Zhang L, Luo L, Zhou Z, Xu K, Zhang L, Liu X, Tan X, Zhang J, Ye X, Gao J, Luo B., Functional Connectivity of Anterior Insula Predicts Recovery of Patients with Disorders of Consciousness, Front Neurol, 9:1024, 2018.

151.  Zhang Y, Yang Y, Si J, Xia X, He J, Jiang T., Influence of Inter-Stimulus Interval of Spinal Cord Stimulation in Patients with Disorders of Consciousness: A Preliminary Functional Near-Infrared Spectroscopy Study, NeuroImage: Clinical, 17:1-9, 2018.

152.  Zhang YY, Xu L, Liang ZY, Wang K, Hou B, Zhou Y, Li S, Jiang T., Separate Neural Networks for Gains and Losses in Intertemporal Choice, Neuroscience bulletin, 34:725-735, 2018.

153.  Zheng F, Zhong B, Song X, Xie W., Persistent Depressive Symptoms and Cognitive Decline in Older Adults, Br J Psychiatry, 213:638-644, 2018.

154.  Zuo N, Yang Z, Liu Y, Li J, Jiang T., Both Activated and Less-activated Regions Identified by Functional MRI Reconfigure to Support Task Executions, Brain and Behavior, 8(1): e00893, 2018.

155.  Zuo N, Yang Z, Liu Y, Li J, Jiang T., Core Networks and Their Reconfiguration Patterns Across Cognitive Loads, Hum Brain Mapp, 39(9): 3546-3557, 2018.

语音语言技术（Speech and Language Technology）

156.  Yang Liu, Kun Wang, Chengqing Zong, Keh-Yih Su, A Unified Framework and Models for Integrating Translation Memory into Phrase-Based Statistical Machine Translation, Computer Speech & Language, Volume 54, 2018, Pages 176-206.

157.  Shaonan Wang, Jiajun Zhang and Chengqing Zong. Empirical Exploring Word-Character Relationship for Chinese Sentence Representation. ACM Transactions on Asian Language and Low-Resource Language Information Processing (TALLIP), Vol. 17, No. 3, Article 14, 18 pages, January 2018.

158.  Shuai Nie, Shan Liang, Wenju Liu, Xueliang Zhang, and Jianhua Tao, “Deep Learning Based Speech Separation via NMF-Style Reconstructions,” IEEE/ACM Transactions on Audio, Speech and Language Processing, Volume: 26 Issue: NOVEMBER.2018, 2043-2055.

159.  Yaping Zhang, Shan Liang, Shuai Nie, Wenju Liu, and Shouye Peng, “Robust Offline Handwritten Character Recognition Through Exploring Writer-Independent Features Under the Guidance of Printed Data,” Pattern Recognition Letters, 106 :20-26, 2018.

160.  Liu Ning, Zhou Pan, Liu Wenju, and Ke Dengfeng, “Sparse Representation Based Image Super-Resolution Using Large Patches,” Chinese Journal of Electronics, Vol.27, No.4, July 2018, 813-820.

161.  Cheng-Hao Cai, Yanyan Xu, Dengfeng Ke, Kaile Su, Jing Sun, “Trainable Back-Propagated Functional Transfer Matrices,” Applied Intelligence, https://doi.org/10.1007/s10489-018-1266-3, 2018, 1-20.

162.  Cheng-Hao Cai, Yanyan Xu, Dengfeng Ke, Kaile Su, “Learning of Human-Like Algebraic Reasoning Using Deep Feedforward Neural Networks,” Biologically Inspired Cognitive Architectures, 25:43-50, 2018.

163.  Ruan Ye, Xu Yanyan, Ke Dengfeng, Su Kaile, “Steganography Algorithm for Adaptive Multi-Rate Wideband Speech Based on Algebraic Codebook Search,” Journal of China Universities of Posts and Telecommunications, June 2018, 25(3): 71–79.

164.  Yibin Zheng, Ya Li, Zhengqi Wen, Bin Liu, Jianhua Tao, Investigating Deep Neural Network Adaptation for Generating Exclamatory and Interrogative Speech in Mandarin, IEEE Journal of Signal Processing System, Volume90, Issue7, pp.1039-1052, 2018, SCI.

165.  Jiangyan Yi, Zhengqi Wen, Jianhua Tao, Hao Ni, Bin Liu, CTC Regularized Model Adaptation for Improving LSTM RNN Based MultiAccent Mandarin Speech Recognition, Journal of Signal Processing Systems, Volume90, Issue7, pp.985-997,2018, SCI.

国内刊物（National Journals）

1.         陈智强，王作伟，方龙伟，菅凤增，吴毅红，李硕，何晖光，“基于学习和几何变换的实时3D/2D配准”，《自动化学报》，44(7)：1183-1194，2018

2.         李俊杰，宗成庆，“融合用户信息和评价对象信息的文本情感分类”，厦门大学学报（自然科学版），57(6)：876-883，2018

3.         王雅丽，马静，李海青，张曼，孙哲南，“基于虹膜纹理深度特征和Fisher向量的人种分类”，中国图象图形学报，23(1)：28-38，2018

4.         杜兴逸，严冬明，叶军涛，张慧，“基于场对齐质心Voronoi划分的四边网格生成”，计算机辅助设计与图形学学报，30(5)，2018

5.         马伟，龙晴晴，秦悦，徐士彪，张晓鹏，“基于画作线条结构分解的高清古画修复”，计算机辅助设计与图形学学报，30(9)：1652-1660，2018

6.         易江燕，陶建华，刘斌，温正棋，“基于迁移学习的噪声鲁棒语音识别声学建模”，语音识别，58（1）：55-60，2018

7.         傅睿博，陶建华，李雅，温正棋，“基于静音时长和文本特征融合的韵律边界自动标注”，语音语言技术，58（1）：61-66，2018

8.         仲伟峰，方祥，范存航，温正棋陶建华，深浅层特征及模型融合的说话人识别，声学学报，2：263-272，2018

9.         杨明浩，张珂，赵博程，朱庆杰，潘航，那燊若阳，湛永松，陶建华，具有智能交互学习能力的机械臂写字系统，软件学报，29(Suppl.(2)):54-61，2018

10.     杨明浩，陶建华，多通道人机交互信息融合的智能方法，中国科学：信息科学，48（4）：433-448，2018

国际会议（International Conferences）

计算机视觉(Computer Vision)

1.         Qiang, Wang, Jin, Gao, Mengdan, Zhang, Junliang, Xing, and, Weiming, Hu, “SPCNet: Scale Position Correlation Network for End-To-End Visual Tracking”, International Conference on Pattern Recognition, Beijing, China, August, 20-24, pp. 1803-1808, 2018.

2.         Zongwei Zhou, Junliang Xing, Mengdan Zhang, and Weiming Hu, “Online Multi-Target Tracking with Tensor-based High-order Graph Matching”, International Conference on Pattern Recognition, Beijing, China, August, 20-24, pp. 1809-1814, 2018.

3.         Qiang Wang, Zhu Teng, Junliang Xing, Jin Gao, Weiming Hu and Steve Maybank, “Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4854-4863, 2018.

4.         Kai Li, Junliang Xing, Chi Su, Weiming Hu, Yundong Zhang and Steve Maybank, “Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 399-408, 2018.

5.         Yang Du, Chunfeng Yuan, Bing Li, Lili Zhao, Yangxi Li and Weiming Hu, “Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification”, European Conference on Computer Vision (ECCV), pp. 388-404, 2018.

6.         Mengdan Zhang, Qiang Wang, Junliang Xing, Jin Gao, Peixi Peng, Weiming Hu and Steve Maybank, “Visual Tracking via Spatially Aligned Correlation Filters Network”, European Conference on Computer Vision (ECCV), pp. 484-500, 2018.

7.         Zheng Zhu, Qiang Wang, Bo Li, Wei Wu, Junjie Yan, and Weiming Hu, “Distractor-aware Siamese Networks for Visual Object Tracking”, European Conference on Computer Vision (ECCV), 103-119, 2018.

8.         Qiang Wang, Mengdan Zhang, Junliang Xing, Jin Gao, Weiming Hu and Steve Maybank, “Do Not Lose the Details: Reinforced Representation Learning for High Performance Visual Tracking”, International Joint Conference on Artificial Intelligence (IJCAI), pp. 985-991, 2018.

9.         Yang Du, Chunfeng Yuan, Bing Li, Weiming Hu, Hao Yang, Zhikang Fu and, Lili, Zhao, “Hierarchical Nonlinear Orthogonal Adaptive-Subspace Self-Organizing Map based Feature Extraction for Human Action Recognition”, AAAI Conference on Artificial Intelligence (AAAI), pp. 6805-6812, 2018.

10.     Lingjie Zhu, Shuhan Shen, Xiang Gao, Zhanyi Hu, Large Scale Urban Scene Modeling from MVS Meshes. Proceedings of Computer Vision --, ECCV 2018, Springer Munich Germany, Sept.8/14 ,2018, 640-655

11.     Yang Zhou, Shuhan Shen, Zhanyi, Hu., Fine-Level Semantic Labeling of Large-Scale 3D Model by Active Learning., Proceedings of 2018 International Conference on 3D Vision., Verona, Italy, Sept.5/8, 2018, pp: 523-532.2018

12.     Yangdong Liu, Wei Gao, Zhanyi Hu., High-Quality and Memory-Efficient Volumetric Integration of Depth Maps Using Plane Priors., Proceedings of ICPR, 2018., Beijing, China, Aug.20/24,2018, pp: 1749-1754

13.     Jinxu Liu, Wei Gao, Zhanyi Hu., Online Temporal Calibration of Camera and IMU Using Nonlinear Optimization., Proceedings of ICPR, 2018., Beijing, China, Aug.20/24, 2018, pp: 1761-1766

14.     Hainan Cui, Shuhan Shen, Wei Gao, Voting-Based Incremental Structure-From-Motion. Proceedings of ICPR, Beijing, China, Aug.20/24, 2018, pp: 1929-1934

15.     Hainan Cui, Shuhan Shen, Wei Gao, Zhiheng Wang, Progressive Large-Scale Structure-from-Motion with Orthogonal MSTs., Proceedings of International conference on 3D vision (3DV 2018), Verona, Italy, Sept.5/8, 2018, pp:79-88

16.     Yibo Hu, Xiang Wu, Bin Yu, Ran He and Zhenan Sun, “Pose-Guided Photorealistic Face Rotation,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, pp. 8398-8406, June 2018, Salt Lake City, USA.

17.     Yan Huang, Qi Wu, Chunfeng Song and Liang Wang, “Learning Semantic Concepts and Order for Image and Sentence Matching,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, pp. 6163-6171, June 2018, Salt Lake City, USA.

18.     Houjing Huang, Dangwei Li, ZhangZhang and Kaiqi Huang, “Adversarially Occluded Samples for Improving Generalization of Person Re-Identification Models,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, June 2018, Salt Lake City, USA.

19.     Debang Li, Huikai Wu, Junge Zhang and Kaiqi Huang, “A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, June 2018, Salt Lake City, USA.

20.     Yan Li, Junge Zhang, Kaiqi Huang and Jianguo Zhang, “Discriminative Learning of Latent Features for Zero-Shot Recognition,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, June 2018, Salt Lake City, USA.

21.     Huikai Wu, Shuai Zheng, Junge Zhang and Kaiqi Huang, “Fast End-to-End Trainable Guided Filter,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, June 2018, Salt Lake City, USA.

22.     Lingxiao He, Jian Liang, Haiqing Li and Zhenan Sun, “Deep Spatial Feature Reconstruction for Partial Person Re-identification: Freestyle Approach,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, June 2018, Salt Lake City, USA.

23.     Lingxiao He, Haiqing Li, Qi Zhang and Zhenan Sun, “Dynamic Feature Learning for Partial Face Recognition,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, June 2018, Salt Lake City, USA.

24.     Chunfeng Song, Yan Huang, Wanli Ouyang and Liang Wang, “Mask-guided Contrastive Attention Model for Person Re-Identification,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, pp. 1179-1188, June 2018, Salt Lake City, USA.

25.     Chenyang Si, Wei Wang, Liang Wang and Tieniu Tan, “Multistage Adversarial Losses for Pose-Based Human Image Synthesis,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, pp. 118-126, June 2018, Salt Lake City, USA.

26.     Junbo Wang, Wei Wang, Yan Huang, Liang Wang and Tieniu Tan, “M^3: Multimodal Memory Modelling for Video Captioning,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, pp. 7512-7520, June 2018, Salt Lake City, USA.

27.     Yunlong Wang, Fei Liu, Zilei Wang, Guangqi Hou, Zhenan Sun and Tieniu Tan, “End-to-End View Synthesis for Light Field Imaging with Pseudo 4DCNN,” Proc. Springer European Conference on Computer Vison, pp. 340-355, September 2018, Munich, Germany.

28.     Chenyang Si, Ya Jing, Wei Wang, Liang Wang and Tieniu Tan, “Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning,” Proc. Springer European Conference on Computer Vison, pp. 106-121, September 2018, Munich, Germany.

29.     Chenglong Li, Chengli Zhu, Yan Huang, Jin Tang and Liang Wang, “Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking,” Proc. Springer European Conference on Computer Vision, pp.831-847, September 2018, Munich, Germany.

30.     Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang, Progressive Cognitive Human Parsing. American Association for AI National Conference(AAAI), 2018: 7607-7614

31.     Zhiwei Fang, Jing Liu, Yanyuan Qiao, Qu Tang, Yong Li, Hanqing Lu, Enhancing Visual Question Answering Using Dropout. ACM Multimedia (ACM MM) 2018: 1002-1010

32.     Zhiwei Fang, Jing Liu, Qu Tang, Yong Li, Hanqing Lu, Answer Distillation for Visual Question Answering, Asian Conference on Computer Vision(ACCV), 2018

33.     Linyu Zheng, Ming Tang, Jinqiao Wang, Learning Robust Gaussian Process Regression for Visual Tracking. International Joint Conference on Artificial Intelligence(IJCAI), 2018: 1219-1225

34.     Fei Liu, Jing Liu, Jun Fu, Hanqing Lu， Improving Residual Block for Semantic Image Segmentation. IEEE Fourth International Conference on Multimedia Big Data (BigMM), 2018: 1-5

35.     Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li. Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd, European Conference on Computer Vision (ECCV2018), Munich, Germany, September 8-14, 2018.

36.     Wei Liu, Shengcai Liao, Weidong Hu, Xuezhi Liang, Xiao Chen. Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting, European Conference on Computer Vision (ECCV2018), Munich, Germany, September 8-14, 2018.

37.     Xiaobo Wang, Zhen Lei, Hailin Shi, Xiaojie Guo, Xiangyu Zhu, Stan Z. Li. Co-Referenced Subspace Clustering, Proc. IEEE International Conference on Multimedia and Expo, San Diego, USA, July 23-27, 2018.

38.     Wei Liu, Shengcai Liao, Weidong Hu, Xuezhi Liang, Improving Tiny Vehicle Detection in Complex Scenes, Proc. IEEE International Conference on Multimedia and Expo, San Diego, USA, July 23-27, 2018.

39.     Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li. Single-Shot Refinement Neural Network for Object Detection, In Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR2018), Salt Lake City, Utah, June 18-22, 2018.

40.     Jinlin Wu, Hailin Shi, Shu Zhang, Zhen Lei, Yang Yang, Stan Z. Li. De-mark GAN: Removing DenseWatermarkWith Generative Adversarial Network. In Proceedings of the 11th IAPR International Conference on Biometrics (ICB2018). Queensland, Australia, Feb. 20-23, 2018.

41.     Hanyu Wang, Jianwei Guo, Dongming Yan, Weize Quan, Xiaopeng Zhang, Learning 3D Keypoint Descriptors for Non-Rigid Shape Matching, In: Proc of European Conference on Computer Vision, Munich, Germany, September 8 - 14, 2018, pp. 3-20, Part 8, LNCS, Vol. 11212, Springer Nature Switzerland, 2018

42.     Yong Zhang, Weiming Dong, Bao-Gang Hu, Qiang Ji: Classifier Learning with Prior Probabilities for Facial Action Unit Recognition. CVPR 2018: 5108-5116

43.     Yong Zhang, Rui Zhao, Weiming Dong, Baogang Hu, Qiang Ji: Bilateral Ordinal Relevance Multi-Instance Regression for Facial Action Unit Intensity Estimation. CVPR 2018: 7034-7043

44.     Yong Zhang, Weiming Dong, Bao-Gang Hu, Qiang Ji: Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation. CVPR 2018: 2314-2323

模式识别（Pattern Recognition）

45.     Tie-Qiang Wang, Chenglin Liu, Fully Convolutional Network Based Skeletonization for Handwritten Chinese Character, 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), New Orleans, USA, February 2-7, 2018.

46.     Xiao-Hui Li, Fei Yin, Chenglin Liu, Printed/Handwritten Texts and Graphics Separation in Complex Documents using Conditional Random Fields, 13th IAPR Int. Workshop on DAS, Vienna, Austria, April 24-27, 2018.

47.     Xue-Hang Yang, Fei Yin, Chenglin Liu, Online Video Text Detection with Markov Decision Process, 13th IAPR Int. Workshop on DAS, Vienna, Austria, April 24-27, 2018.

48.     Yuan-Yuan Shen, Xu-Yao Zhang, Chenglin Liu, Online Semi-Supervised Learning with Adaptive Vector Quantization, Proc. First International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI), Montreal, Canada, 2018.

49.     Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Chenglin Liu, Robust Classification with Convolutional Prototype Learning, CVPR 2018, Salt Lake City, USA, June 18-22, 2018.

50.     Zhao Zhong, Junjie Yan, Wei Wu, Jing Shao, Chenglin Liu, Practical Block-Wise Neural Network Architecture Generation, CVPR 2018, Salt Lake City, USA, June 18-22, 2018.

51.     Yue Xu, Fei Yin, Zhaoxiang Zhang, Chenglin Liu, Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks, IJCAI-ECAI-2018, Stockholm, Sweden, July 13-19, 2018.

52.     Cong Wang, Fei Yin, Chenglin Liu, Memory-augmented Attention Model for Scene Text Recognition, Proc. 16th ICFHR, Niagara Falls, USA, August 5-8, 2018, pp.65-67.

53.     Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Jun Sun, Chenglin Liu, Deep Transfer Mapping for Unsupervised Writer Adaptation, Proc. 16th ICFHR, Niagara Falls, USA, August 5-8, 2018, pp.151-156.

54.     Chu Wang, Yan-Ming Zhang, Chenglin Liu, Anomaly Detection via Minimum Likelihood Generative Adversarial Networks, Proc. 24th ICPR, Beijing, China, August 20-24, 2018, pp.1121-1126, 2018.

55.     Wei Feng, Wen-Hao He, Fei Yin, Chenglin Liu, Scene Text Detection with Recurrent Instance Segmentation, Proc. 24th ICPR, Beijing, China, August 20-24, 2018, pp.2227-2232, 2018.

56.     Xiao-Hui Li, Fei Yin, Chenglin Liu, Page Object Detection from PDF Document Images by Deep Structured Prediction and Supervised Clustering, Proc. 24th ICPR, Beijing, China, August 20-24, 2018, pp.3627-2632, 2018.

57.     Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Chenglin Liu, Image-to-Markup Generation via Paired Adversarial Learning, ECML PKDD 2018.

58.     Tie-Qiang Wang, Chenglin Liu, DeepAD: A Deep Learning based Approach to Stroke-Level Abnormality Detection in Handwritten Chinese Character Recognition, Proc. ICDM 2018, Singapore, Nov. 17-20, 2018.

59.     Zhihang Li, Yibo Hu, Man Zhang, Min Xu, Ran He, “Protecting Your Faces: MeshFaces Generation and Removal via High-order Relation-preserving CycleGAN,” Proc. International Conference on Biometrics, February 2018, Gold Coast, Queensland, Australia.

60.     Zihui Yan, Lingxiao He, Man Zhang, Zhenan Sun, Tieniu Tan, “Hierarchical Multi-class Iris Classification for Liveness Detection,” Proc. International Conference on Biometrics, February 2018, Gold Coast, Queensland, Australia.

61.     Jiabin Ma, Weiyu Guo, Wei Wang and Liang Wang, “RotateConv: Making Asymmetric Convolutional Kernels Rotatable,” Proc. International Conference on Pattern Recognition, pp.55-60, August 2018, Beijing, China.

62.     Wenlong Cheng, Yan Huang and Liang Wang, “Towards Unconstrained Pointing Problem of Visual Question Answering: A Retrieval-based Method,” Proc. International Conference on Pattern Recognition, pp.3303-3308, August 2018, Beijing, China.

63.     Peipei Li, Yibo Hu, Qi Li, Ran He and Zhenan Sun, “Global and Local Consistent Age Generative Adversarial Networks,” Proc. International Conference on Pattern Recognition, pp. 1073-1078, August 2018, Beijing, China.

64.     Hongwen Zhang, Qi Li, and Zhenan Sun, “Joint Voxel and Coordinate Regression for Accurate 3D Facial Landmark Localization,” Proc. International Conference on Pattern Recognition, pp. 2202-2208, August 2018, Beijing, China.

65.     Jiedong Hao, Jing Dong, Wei Wang, and Tieniu Tan, “DeepFirearm: Learning Discriminative Feature Representation for Fine-grained Firearm Retrieval,” Proc. International Conference on Pattern Recognition, pp. 3335-3340, August 2018, Beijing, China.

66.     Wu Zheng and Zhaoxiang Zhang, “Accelerating the Classification of Very Deep Convolutional Network by A Cascading Approach,” Proc. International Conference on Pattern Recognition, pp.355-360, August 2018, Beijing, China.

67.     Gangming Zhao, Zhaoxiang Zhang, He Guan, Peng Tang and Jingdong Wang, “Rethinking ReLU to Train Better CNNs,” Proc. International Conference on Pattern Recognition, pp.603-608, August 2018, Beijing, China.

68.     Lin Li, Zhaoxiang Zhang, Yan Huang and Liang Wang, “Deep Temporal Feature Encoding for Video Action Recognition,” Proc. International Conference on Pattern Recognition, pp.1109-1114, August 2018, Beijing, China.

69.     He Guan, Zhaoxiang Zhang and Tieniu Tan, “Inception Donut Convolution for Top-down Semantic Segmentation,” Proc. International Conference on Pattern Recognition, pp.2492-2497, August 2018, Beijing, China.

70.     Yibo Hu, Lingxiao Song, Bing Yu, Ran He and Zhenan Sun, “Adversarial Embedding and Variational Aggregation for Video Face Recognition,” Proc. IEEE International Conference on Biometrics: Theory, Applications and Systems, October 2018, Los Angeles, USA.

71.     Haiyun Guo, Chaoyang Zhao, Zhiwei Liu, Jinqiao Wang, Hanqing Lu, Learning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-Identification. Association for the Advance of Artificial Intelligence (AAAI), 2018: 6853-6860

72.     Yunze Gao, Yingying Chen, Jinqiao Wang, Ming Tang, Hanqing Lu, Dense Chained Attention Network for Scene Text Recognition. IEEE International Conference on Image Processing(ICIP), 2018: 679-683

73.     Xiaomei Zhang, Yingying Chen, Bingke Zhu, Jinqiao Wang, Ming Tang, Hanqing Lu, Tree Hierarchical CNNs for Object Parsing. The 25th IEEE International Conference on Image Processing (ICIP), 2018: 1588-1592

74.     Xu Zhao, Chaoyang Zhao, Yousong Zhu, Ming Tang, Jinqiao Wang, Improved Single Shot Object Detector Using Enhanced Features and Predicting Heads. IEEE Fourth International Conference on Multimedia Big Data (BigMM), 2018: 1-5

75.     Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang, High-Speed Tracking with Multi-Kernel Correlation Filters. CVPR 2018: 4874-4883

76.     Jianqing Zhu, Huanqiang Zeng, Zhen Lei, Shengcai Liao, Lixin Zheng, Canhui Cai. A Shortly and Densely Connected Convolutional Neural Network for Vehicle Re-identification. In Proceedings of International Conference on Pattern Recognition (ICPR2018). Beijing, China, August 20-24, 2018.

77.     Qi Zhang, Qizhao Jin, Jianlong Chang, Shiming Xiang and Chunhong Pan, "Kernel-Weighted Graph Convolutional Network: A Deep Learning Approach for Traffic forcasting," in International Conference on Pattern Recognition, 2018, pp. 1018-1023

78.     Xiyan Liu, Gaofeng Meng, Shiming Xiang, Chunhong Pan. Semantic Image Synthesis via Conditional Cycle-Generative Adversarial Networks. In Proceedings of the 24th International Conference on Pattern Recognition. Beijing, China, accepted, 2018.

79.     Xiaoye Wang, Hongping Yan, Chunlei Huo, Jiayuan Yu, Chunhong Pan, Enhancing Pix2Pix for Remote Sensing Image Classification, ICPR, 2018.

80.     Liang Yan, Bin Fan, Shiming Xiang and Chunhong Pan, Adversarial Domain Adaptation with a Domain Similarity Discriminator for Semantic Segmentation of Urban Areas, IEEE International Conference on Image Processing, pp 1583--1587, 2018.

81.     Chunlei Huo, Jiayuan Yu, Yunpeng Jing, Chunhong Pan，Learning deep relationship for image change detection, IGARSS, 2018.

82.     Yongcheng Liu, Lu Sheng, Jing Shao, Junjie Yan, Shiming Xiang and Chunhong Pan. Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection, In ACM International Conference on Multimedia. Seoul, Korea, pp. 700-708, 2018.

83.     Chaoxu Guo, Tingzhao Yu, Huxiang Gu, Shiming Xiang and Chunhong Pan, MGN: Multi-Glimpse Network for Action Recognition, International Conference on Accoustics, Speech and Signal Processing, pp 1932-1936, 2018.

84.     Jianlong Chang, Jie Gu, Lingfeng Wang, Gaofeng Meng, Shiming Xiang, Chunhong Pan. Structure-Aware Convolutional Neural Networks. In Advances in Neural Information Processing Systems, pp. 11-20, 2018.

人工智能（Artificial Intelligence）

85.     Tielin Zhang, Yi Zeng, Dongcheng Zhao, Bo Xu. Brain-inspired Balanced Tuning for Spiking Neural Networks. The 27th International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, 2018.

86.     Tielin Zhang, Yi Zeng, Dongcheng Zhao, Mengting Shi. A Plasticity-centric Approach to Train the Non-Differential Spiking Neural Networks. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), Lousiana, USA, 2018.

87.     Chunshui Cao, Yongzhen Huang, Zilei Wang, Liang Wang, Ninglong Xu, Tieniu Tan, “Lateral Inhibition-inspired Convolutional Neural Network for Visual Attention and Saliency Detection,” Proc. AAAI Conference on Artificial Intelligence, February, Louisiana, USA.

88.     Yabei Li, Junge Zhang, Yanhua Cheng, Kaiqi Huang and Tieniu Tan, “DF2Net: A Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene Classification,” Proc. AAAI Conference on Artificial Intelligence, February 2018, Louisiana, USA.

89.     Yi Li, Lingxiao Song, Xiang Wu, Ran He, and Tieniu Tan, “Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification,” Proc. AAAI Conference on Artificial Intelligence, February 2018, Louisiana, USA.

90.     Yan Li*, Zhen Jia*, Junge Zhang, Kaiqi Huang and Tieniu Tan, “Deep Semantic Structural Constraints for Zero-Shot Learning,” Proc. AAAI Conference on Artificial Intelligence, February 2018, Louisiana, USA.

91.     Xiang Wu, Lingxiao Song, Ran He and Tieniu Tan, “oupled Deep Learning for Heterogeneous Face Recognition,” Proc. AAAI Conference on Artificial Intelligence, February 2018, Louisiana, USA.

92.     Lingxiao Song, Man Zhang, Xiang Wu and Ran He, “dversarial Discriminative Heterogeneous Face Recognition,” Proc. AAAI Conference on Artificial Intelligence, February 2018, Louisiana, USA.

93.     Wei Wang, Hao Wang, Zhiyong Ran and Ran He, “Information-Theoretic Domain Adaptation under Severe Noise Conditions,” Proc. AAAI Conference on Artificial Intelligence, February 2018, Louisiana, USA.

94.     Wangli Hao, Zhaoxiang Zhang, and He Guan, “Integrating both Visual and Audio Cues for Enhanced Video Caption,” Proc. AAAI Conference on Artificial Intelligence, February 2018, Louisiana, USA.

95.     Wangli Hao, Zhaoxiang Zhang, He Guan, “CMCGAN: A Uniform Framework for Cross-Modal Visual-Audio Mutual Generation,” Proc. AAAI Conference on Artificial Intelligence, February 2018, Louisiana, USA.

96.     Yuntao Chen, Naiyan Wang, and Zhaoxiang Zhang, “DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer,” Proc. AAAI Conference on Artificial Intelligence, February 2018, Louisiana, USA.

97.     Yue Xu, Fei Yin, Zhaoxiang Zhang and Chenglin Liu, “Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks,” Pro. International Joint Conference on Artificial Intelligence, pp.1057-1063, July 2018, Stockholm, Sweden.

98.     Yueying Kao, Weiming Li, Zairan Wang, Dongqing Zou, Ran He, Qiang Wang, Minsu Ahn and Sunghoon Hong, “An Appearance-and-Structure Fusion Network for Object Viewpoint Estimation,” Proc. International Joint Conference on Artificial Intelligence, pp.4929-4935, July 2018, Stockholm, Sweden.

99.     He Guan and Zhaoxiang Zhang, “View Decomposition and Adversarial for Semantic Segmentation,” Pacific Rim International Conference on Artificial Intelligence, pp.247-255, August 2018, Nanjing, China.

100.  Wu Zheng and Zhaoxiang Zhang, “Weakly-Supervised Object Localization by Cutting Background with Deep Reinforcement Learning,” Pacific Rim International Conference on Artificial Intelligence, pp.210-218, August 2018, Nanjing, China.

101.  Jie Cao, Yibo Hu, Hongwen Zhang, Ran He, and Zhenan Sun, “Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization,” Proc. Conference on Neural Information Processing Systems (NIPS), pp.2869-2879, December 2018, Montreal, Canada.

102.  Huaibo Huang, Zhihang Li, Ran He, Zhenan Sun, and Tieniu Tan, “IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis,” Proc. Conference on Neural Information Processing Systems (NIPS), pp.52-63, December 2018, Montreal, Canada.

103.  Xiangyu He, Jian Cheng, Learning Compression from Limited Unlabeled Data. European Conference on Computer Vision (ECCV), 2018: 778-795

104.  Qinghao Hu, Peisong Wang, Jian Cheng, From Hashing to CNNs: Training Binary Weight Networks via Hashing. The Thirty-Second AAAI Conference on Artificial Intelligence(AAAI), 2018: 3247-3254

105.  Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng, Traning Binary Weight Networks via Semi-Binary Decomposition, European Conference on Computer Vision(ECCV), 2018:657-673

106.  Gang Li, Fanrong Li, Tianli Zhao, Jian Cheng, Block convolution: Towards memory-efficient inference of large-scale CNNs on FPGA. Design Automation & Test in Europe(DATE), 2018: 1163-1166

107.  Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng, Two-Step Quantization for Low-Bit Neural Networks. The IEEE Conference on Computer Vision and Pattern(CVPR), 2018: 4376-4384

108.  Tianli Zhao, Xiangyu He, Jian Cheng. BitStream: Efficient Computing Architecture for Real-Time Low-Power Inference of Binary Neural Networks on CPUs. ACM MM 2018

109.  Pichao Wang, Wanqing Li, Jun Wan, Philio Ogunbona, Xinwang Liu. Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition. Proc. AAAI Conference on Artificial Intelligence, 2018.

110.  Xiaobo Wang, Shifeng Zhang, Zhen Lei, Si Liu, Xiaojie Guo, Stan Z. Li. Ensemble Soft-Margin Softmax Loss for Image Classification. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-2018), Stockholm, Sweden, July 13-19, 2018.

计算机图形学（Computer Graphics）

111.  Weiliang Meng, Shibiao Xu, Er Li, Xiangyong Zeng, Xiaopeng Zhang, Accurate 3D Locating and Tracking of Basketball Players from Multiple Videos, In: Proc of ACM SIGGRAPH Asia Technical Briefs, Tokyo, Japan, December 4 - 7, 2018, pp. 27:1-27:4, ACM Press, 2018

112.  Lei Wang, Weiliang Meng, Runping Xi, Yanning Zhang, Ling Lu, Xiaopeng Zhang, Large-scale 3D Point Cloud Classification Based On Feature Description Matrix By CNN, In: Proc of CASA, 31st International Conference on Computer Animation and Social Agents, Beijing, China, May 21-23, 2018, pp. 43-47, ACM Press, 2018.

113.  Yifan Men, Zeyu Shen, Dawar Khan and Dongming Yan. Improving Regularity of the Centoridal Voronoi Tessellation. Siggraph Posters. 2018.

多媒体计算（Multimedia Computing）

114.  Feifei Zhang, Tianzhu Zhang, Qirong Mao, Changsheng Xu: Joint Pose and Expression Modeling for Facial Expression Recognition. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018.7. 

115.  Junyu Gao, Tianzhu Zhang, Changsheng Xu: Watch, Think and Attend: End-to-End Video Classification via Dynamic Knowledge Evolution Modeling. ACM International Conference on Multimedia (ACM MM), 2018.10, Full Paper. 

116.  Yaoyu Li, Tianzhu Zhang, Lingyu Duan, Changsheng Xu: A Unified Generative Adversarial Framework for Image Generation and Person Re-identification. ACM International Conference on Multimedia (ACM MM), 2018.10, Full Paper. 

117.  Feifei Zhang, Tianzhu Zhang, Qirong Mao, Lingyu Duan, Changsheng Xu: Facial Expression Recognition in the Wild: A Cycle-Consistent Adversarial Attention Transfer Approach. ACM International Conference on Multimedia (ACM MM), 2018.10, Full Paper. 

118.  Fan Qi, Xiaoshan Yang, Changsheng Xu: A Unified Framework for Multimodal Domain Adaptation. ACM Multimedia 2018: 429-437

119.  Yikun Sheng, Xiaoshan Yang, Changsheng Xu: A Standalone Demo for Quiz Game "Describe and Guess". MIPR 2018: 206-207

120.  Yikun Sheng, Xiaoshan Yang, Xueliang Liu, Changsheng Xu: Attribute-Assisted Domain Transfer from Image to Sketch. MIPR 2018: 287-292

121.  Yu Song, Fan Tang, Weiming Dong, Xiaopeng Zhang, Oliver Deussen, Tong-Yee Lee: Photo Squarization by Deep Multi-Operator Retargeting. ACM Multimedia 2018: 1047-1055

122.  Kekai Sheng, Weiming Dong, Chongyang Ma, Xing Mei, Feiyue Huang, Bao-Gang Hu: Attention-based Multi-Patch Aggregation for Image Aesthetic Assessment. ACM Multimedia 2018: 879-886

123.  Kekai Sheng, Weiming Dong, Haibin Huang, Chongyang Ma, Bao-Gang Hu: Gourmet photography dataset for aesthetic assessment of food images. SIGGRAPH Asia Technical Briefs 2018: 20:1-20:4

图象/视频处理与分析（Image/Video Processing and Analysis）

124.  Jianze Wei, Jian Liang, Ran He and Jinfeng Yang, “Learning Discriminative Geodesic Flow Kernel for Unsupervised Domain Adaptation,” Pro. IEEE International Conference on Multimedia and Expo (ICME), July 2018, San Diego, USA.

125.  Junbo Wang, Wei Wang, Yan Huang, Liang Wang, and Tieniu Tan, “Hierarchical Memory Modelling for Video Captioning,” In 2018 ACM Multimedia Conference (MM’18), pp.63-71, October 2018, Seoul, Republic of Korea.

126.  Zhihe Lu, Tanhao Hu, Lingxiao Song, Zhaoxiang Zhang and Ran He, “Conditional Expression Synthesis with Face Parsing Transformation,” In 2018 ACM Multimedia Conference (MM’18), pp.1083-1091, October 2018, Seoul, Republic of Korea.

127.  Kui Ye, Jing Dong, Wei Wang, Bo Peng, and Tieniu Tan, “Feature Pyramid Deep Matching and Localization Network for Image Forensics,” Asia-Pacific Signal and Information Processing Association(ASPIPA) Annual Summit and Conference, November 2018, Hawaii, USA.

医学图象分析(Medical Image Analysis)

128.  Yao D, Guo X, Zhao Q, Liu L, Cao Q, Wang Y, Calhoun VD, Sun L, Sui J. Discriminating ADHD from healthy controls using a novel feature selection method based on relative importance and ensemble learning. The 40th International Engineering in Medicine and Biology Conference (EMBC) 2018. July 17-21, Honolulu, HI.

129.  Zhi D, Ma X, Lv L, Ke Q, Yang Y, Yang X, Pan M, Qi S, Jiang R, Du Y, Yu Q, Jiang T, Sui J. Abnormal Dynamic Functional Network Connectivity and Graph Theoretical Analysis in Major Depressive Disorder. The 40th International Engineering in Medicine and Biology Conference (EMBC) 2018. July 17-21, Honolulu, HI, USA.

130.  Luo N, Tian L, Calhoun VD, Chen J, Lin D, Veragara VM, Rao S, Zhang F, Sui J. Exploring different impaired speed of genetic-related brain function and structures in schizophrenic progress using multimodal analysis. The 40th International Engineering in Medicine and Biology Conference(EMBC) 2018.July 17-21, Honolulu, Hawaii, USA.

131.  Yan W, Zhang H, Sui J, Shen D. Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 LCNS 11072.1-9 Roma. Italy.

语音语言技术(Speech and Language Technology)

132.  Shaonan Wang, Jiajun Zhang and Chengqing Zong. Associative Multichannel Autoencoder for Multimodal Word Representation. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, October 31th–November 4th, 2018, pp. 116-124

133.  Junnan Zhu, Haoran Li, Tianshang Liu, Yu Zhou, Jiajun Zhang and Chengqing Zong. MSMO: Multimodal Summarization with Multimodal Output. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing(EMNLP), Brussels, Belgium, October 31th–November 4th, 2018, pp. 4154-4164

134.  Yining Wang, Jiajun Zhang, Feifei Zhai, Jingfang Xu and Chengqing Zong. Three Strategies to Improve One-to-Many Multilingual Translation. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing(EMNLP), Brussels, Belgium, October 31th–November 4th, 2018, pp. 2955-2960

135.  Jingyuan Sun, Shaonan Wang and Chengqing Zong. Memory, Show the Way: Memory Based Few Shot Word Representation Learning. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, October 31th–November 4th, 2018, pp. 1435-1444

136.  Weikang Wang, Jiajun Zhang, Han Zhang, Mei-Yuh Hwang, Chengqing Zong and Zhifei Li. A Teacher-Student Framework for Maintainable Dialog Manager. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, October 31th–November 4th, 2018, pp. 3803-3812

137.  Yang Zhao, Jiajun Zhang, Zhongjun He, Chengqing Zong, and Hua Wu. Addressing troublesome words in neural machine translation. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, October 31th–November 4th, 2018,pp. 391-400

138.  Haoran Li, Jiajun Zhang and Chengqing Zong. Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization. In Proceedings of the 27th International Conference on Computational Linguistics (COLING), Santa Fe, New-Mexico, USA, August 20th-26th, 2018, pp.1430-1441

139.  Junjie Li, Haitong Yang and Chengqing Zong. Document-level Multi-Aspect Sentiment Classification by Jointly Modeling Users, Aspects, and Overall Ratings. In Proceedings of the 27th International Conference on Computational Linguistics (COLING), Santa Fe, New-Mexico, USA, August 20th-26th, 2018, pp. 925-936

140.  Qianlong Du, Keh-Yih Su and Chengqing Zong. Adopting the Word-Pair-Dependency-Triplets with Individual Comparison for Natural Language Inference. In Proceedings of the 27th International Conference on Computational Linguistics (COLING), Santa Fe, New-Mexico, USA, August 20th-26th, 2018, pp.414-425

141.  He Bai, Jiajun Zhang, Yu Zhou, Liang Zhao, Mei-Yuh Hwang and Chengqing Zong. Source Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language. In Proceedings of the 27th International Conference on Computational Linguistics (COLING), Santa Fe, New-Mexico, USA, August 20th-26th, 2018, pp.3597-3607

142.  Yang Zhao, Yining Wang, Jiajun Zhang and Chengqing Zong. Phrase Table as Recommendation Memory for Neural Machine Translation, the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI), Stockholm, Sweden, July 13-19, 2018, pp. 4610-4615

143.  Haoran Li, Junnan Zhu, Tianshang Liu, Jiajun Zhang, and Chengqing Zong. Multi-modal Sentence Summarization with Modality Attention and Image Filtering, the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI), Stockholm, Sweden, July 13-19, 2018, pp. 4152-4158

144.  Shaonan Wang, Jiajun Zhang, Nan Lin and Chengqing Zong. Investigating Inner Properties of Multimodal Representation and Semantic Compositionality with Brain-based Componential Semantics. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, pp. 5964-5972

145.  Shaonan Wang, Jiajun Zhang and Chengqing Zong. Learning Multimodal Word Representation via Dynamic Fusion Methods. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, pp. 5973-5980

146.  Cao Liu, Shizhu He, Kang Liu, Jun Zhao, Curriculum Learning for Natural Answer Generation, Proceedings of the 27th International Joint Conference on Artificial Intelligence, P4223-4229,2018.7.13, Stockholm, Sweden

147.  Yubo Chen, Hang Yang, Kang Liu, Jun Zhao, Yantao Jia, Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-Level Attention Mechanisms,2018 Conference on Empirical Methods in Natural Language Processing, 1267–1276, 2018.10.31, Brussels, Belgium

148.  Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu, Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism, Conference on Empirical Methods in Natural Language Processing, P182-192,2018.10.31, Brussels, Belgium

149.  Yanchao Hao, Hao Liu, Shizhu He, Kang Liu, Jun Zhao, Pattern-revising Enhanced Simple Question Answering over Knowledge Bases, Proceedings of the 27th International Conference on Computational Linguistics, P3272-3282,2018.08.20, Santa Fe, New Mexico, USA

150.  Bingning Wang, Kang Liu, Jun Zhao, Deep Semantic Hashing with Multi-Adversarial Training, The Conference on Information and Knowledge Management, P1453-1462,2018.10.22, Torino, Italy

151.  Xiangrong Zeng, Daojian Zeng, Shizhu He, Kang Liu, Jun Zhao, Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism, Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, P506-514,2018.07.15, Melbourne, Australia

152.  Hang Yang, Yubo Chen, Kang Liu, Yang Xiao, Jun Zhao, DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, P50-55,2018.07.15, Melbourne, Australia

153.  Xiangrong Zeng, Shizhu He, Kang Liu, Jun Zhao, Large Scaled Relation Extraction with Reinforcement Learning, The Thirty-Second AAAI Conference on Artificial Intelligence, P5658-5665,2018.02.07, New Orleans, Louisiana, USA

154.  Jian Liu, Yubo Chen, Kang Liu, Jun Zhao, Event Detection via Gated Multilingual Attention Mechanism, The Thirty-Second AAAI Conference on Artificial Intelligence, P4865-4872,2018.02.08, New Orleans, Louisiana, USA

155.  Bin Liu, Shuai Nie, Yaping Zhang, Dengfeng Ke, Shan Liang, Wenju Liu, “Boosting Noise Robustness of Acoustic Model Via Deep Adversarialtraining,” in the Proceedings of ICASSP’2018 (2018 IEEE International Conference on Acoustics, Speech, and Signal Processing), April 15-20, 2018, Calgary, Alberta, Canada, 5034-5038.

156.  Shuai Nie, Shan Liang, Bin Liu, Yaping Zhang, Wenju Liu and Jianhua Tao,“Deep Noise Tracking Network: A Hybrid Signal Processing/Deep Learning Approach to Speech Enhancement,” in the Proceedings of InterSpeech2018 （The 19th Annual Conference of the International Speech Communication Association）, September 2-6, Hyderabad, India, 2018, 3219-3223.

157.  Changliang Li, Yixin Su, Wenju Liu, “Text-to-Text Generative Adversarial Networks,” in the Proceedings of IJCNN2018(2018 International Joint Conference on Neural Networks), July 8-13 2018, Rio de Janeiro, Brazil, 1743-1749.

158.  Bin Liu, Shuai Nie, Shan Liang, Zhanlei Yang, Wenju Liu, “Stochastic Multiple Choice Learning for Acoustic Modeling,” in the Proceedings of IJCNN2018(2018 International Joint Conference on Neural Networks), July 8-13 2018, Rio de Janeiro, Brazil, 2433-2438.

159.  Tianyu Liu, Yongzhi Ying, Yanyan Xu, Dengfeng Ke, Kaile Su, “Fine-Grained Air Quality Prediction using Attention Based Neural Network,” in the Proceedings of IJCNN2018(2018 International Joint Conference on Neural Networks), July 8-13 2018, Rio de Janeiro, Brazil, 3841-3846.

160.  Ke Ding, Ne Luo, Yanyan Xu, Dengfeng Ke, Kaile Su, “Mutual-optimization Towards Generative Adversarial Networks for Robust Speech Recognition,” in the Proceedings of ICPR2018(24th International Conference on Pattern Recognition), Augest 20-24 2018, Beijing, China, 2699-2704.

161.  Yibin Zheng, Jianhua Tao, Zhengqi Wen, Ya Li, BLSTM-CRF Based End-to-End Prosodic Boundary Prediction with Context Sensitive Embeddings in A Text-to-Speech Front-End,19th Annual Conference of the Speech Communication Associatio (Interspeech 2018), pp:47-51, September.9/2,2018, Hyderabad, India, EI

162.  Yibin Zheng, Jianhua Tao, Zhengqi Wen, Ruibo Fu, On The Application and Compression of Deep Time Delay Neural Network for Embedded Statistical Parametric Speech Synthesis,19th Annual Conference of the Speech Communication Associatio (Interspeech 2018), pp:922-926, September.9/2,2018, Hyderabad, India, EI

163.  Jian Huang, Ya Li, Jianhua Tao, Zheng Lian, Jiangyan Yi, End-To-End Continuous Emotion Recognition from Video Using 3d Convlstm Networks,2018 IEEE International Conference on Acoustics, Speech and Signal Processing, pp: 6837-6841, April4/15,2018, Calgary, Alberta, Canada, EI

164.  Jian Huang, Ya Li, Jianhua Tao, Zheng Lian, Mingyue Niu, Jiangyan Yi, Speech Emotion Recognition Using Semi-Supervised Learning with Ladder Networks,2018 First Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia), pp:1-5, May5/20,2018, Beijing, China, EI

165.  Jian Huang, Ya Li, Jianhua Tao, Zheng Lian, Speech Emotion Recognition from Variable-Length Inputs with Triplet Loss Function, Interspeech 2018: Conference of the International Speech Communication Association, pp:3673-3677, September9/2,2018, Hyderabad, India, EI

166.  Jian Huang, Ya Li, Jianhua Tao, Zheng Lian, Mingyue Niu, Minghao Yang, Multimodal Continuous Emotion Recognition with Data Augmentation Using Recurrent Neural Networks, ACMMM 2018-AVEC’18, pp:57-64, October,10/22,2018, Seoul, Republic of Korea, EI

167.  Jian Huang, Ya Li, Jianhua Tao, Zheng Lian, Mingyue Niu, Minghao Yang, Deep Learning for Continuous Multiple Time Series Annotations, ACMMM 2018-AVEC’18, pp:91-98, October,10/22,2018, Seoul, Republic of Korea, EI

168.  Zheng Lian, Ya Li, Jianhua Tao, Jian Huang, Mingyue Niu, Region Based Robust Facial Expression Analysis,2018 First Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia), pp:1-5, May5/20,2018, Beijing, China, EI

169.  Zheng Lian, Ya Li, Jianhua Tao, Jian Huang, Speech Emotion Recognition via Contrastive Loss under Siamese Networks, ACMMM 2018-MMAC'18, pp:21-26, October,10/26,2018, Seoul, Republic of Korea, EI

170.  Ruibo Fu, Jianhua Tao, Zhengqi Wen, Progressive Neural Networks based Features Prediction for the Target Cost in Unit-Selection Speech Synthesizer, 14th International Conference on Signal Processing (ICSP2018), pp:504-509, August,8/12,2018, Beijing, China, EI

171.  Ruibo Fu, Jianhua Tao, Yibin Zheng, Zhengqi Wen, Deep Metric Learning for the Target Cost in Unit-Selection Speech Synthesizer,19th Annual Conference of the Speech Communication Associatio (Interspeech 2018), pp:2514-2518, September9/2,2018, Hyderabad, India, EI

172.  Ruibo Fu, Jianhua Tao, Yibin Zheng, Zhengqi Wen, Transfer Learning based Progressive Neural Networks for Acoustic Modeling in Statistical Parametric Speech Synthesis,19th Annual Conference of the Speech Communication Associatio (Interspeech 2018), pp:907-911, September9/2,2018, Hyderabad, India, EI

173.  Ya Li, Jianhua Tao, Björn Schuller, Shiguang Shan, Dongmei Jiang, Jia Jia, MEC 2017: Multimodal Emotion Recognition Challenge,2018 1st Asian Conference on Affective Computing and Intelligent Interaction, ACII Asia 2018, pp:1-5, May5/20,2018, Beijing, China, EI

174.  Mingyue Niu, Ya Li, Jianhua Tao, Su-Jing Wang, Micro-Expression Recognition Based on Local Two-Order Gradient Pattern,2018 1st Asian Conference on Affective Computing and Intelligent Interaction, ACII Asia 2018, pp:1-6, May5/20,2018, Beijing, China, EI

175.  Minghao Yang, Jianhua Tao, Dawei Zhang, Reducing Tongue Shape Dimensionality from Hundreds of Available Resources Using Autoencoder, International Conference on Pattern Recognition, pp:2839-2844, August,8/20,2018, Beijing China, EI

176.  Minghao Yang, Ke Zhang, NaShengRuoYang, Jianhua Tao, Self-Talk Responses to Users' Opinions and Challenge in Human Computer Dialog, International Conference on Pattern Recognition, pp:2875-2880,8/20,2018, Beijing China, EI

177.  Bocheng Zhao, Minghao Yang, Jianhua Tao, Pen Tip Motion Prediction for Handwriting Drawing Order Recovery using Deep Neural Network, International Conference on Pattern Recognition, pp:704-2709,8/20,2018, Beijing China, EI

178.  Xiaoke Qi, Jianhua Tao, Sparsity-Constrained Weight Mapping for Head-Related Transfer Functions Individualization from Anthropometric Features, Interspeech 2018: Conference of the International Speech Communication Association, pp:841-845, September9/2,2018, Hyderabad, India, EI

179.  Jiangyan Yi, Jianhua Tao, Zhengqi Wen, Ye Bai, Adversarial Multilingual Training for Low-Resource Speech Recognition, IEEE International Conference on Acoustics, Speech and Signal Processing, pp:4899-4903, April4/15,2018, Calgary, Alberta, Canada, EI

180.  Ye bai, Jianhua Tao, Jiangyan Yi, Zhengqi Wen, Cunhang Fan, CLMAD: A Chinese Language Model Adaptation Dataset, The 11th International Symposium On Chinese Spoken Language Processing (ISCSLP), Taiwan, China, November11/25,2018, EI

181.  Cunhang Fan, Bin Liu, Jianhua Tao, Zhengqi Wen, Jiangyan Yi, Ye bai, Utterance-level Permutation Invariant Training with Discriminative Learning for Single Channel Speech Separation, The 11th International Symposium on Chinese Spoken Language Processing (ISCSLP), Taiwan, China, November11/25,2018, EI

182.  Bin Liu, Jianhua Tao, Yibin Zheng, A Novel Unified Framework for Speech Enhancement and Bandwidth Extension Based on Jointly Trained Neural Networks, The 11th International Symposium on Chinese Spoken Language Processing (ISCSLP), Taiwan, China, November11/25,2018, EI

国内会议(National Conference)

1.         Yuchen Liu, Long Zhou, Yining Wang, Yang Zhao, Jiajun Zhang and Chengqing Zong. A Comparable Study on Model Averaging, Ensembling and Reranking in NMT. In Proceedings of the Seventh Conference On Natural Language Processing and Chinese Computing (NLPCC-2018), Hohhot, China, August, 26-30, 2018, pp. 299-308

2.         Jinghui Yan, Jiajun Zhang, Jinan Xu and Chengqing Zong, The Impact of Named Entity Translation for Neural Machine Translation, In Proceedings of China Workshop on Machine Translation CWMT. 2018, October 25-26, 2018, Wuyishan, China

3.         Xiaoqing Li, Jinghui Yan, Jiajun Zhang and Chengqing Zong, Neural Name Translation Improves Neural Machine Translation, In Proceedings of China Workshop on Machine Translation CWMT 2018, October 25-26, 2018, Wuyishan, China

4.         刘宇宸, 闫璟辉, 张家俊, 宗成庆. 第十四届机器翻译研讨会中科院自动化所技术报告. 2018. 第十四届全国机器翻译研讨会论文集.

5.         Li Liu, Linlin Huang, Fei Yin, Youbin Chen, Off-Line Signature Verification Using a Region based Metric Learning Network, Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2018), LNCS 11256, Springer, pp.74-86, 2018.

6.         Wei Zhang, Hongwen Zhang, Qi Li, Fei Liu, Zhenan Sun, Xin Li, and Xinxin Wan, “Cross-Cascading Regression for Simultaneous Head Pose Estimation and Facial Landmark Detection,” Proc. Chinese Conference on Pattern Recognition, pp. 148-156, August 2018, Urumqi, China.

7.         Mingkang Liu, Qi Li, Zhenan Sun, and Qiyao Deng, “Face Clustering Utilizing Scalable Sparse Subspace Clustering and the Image Gradient Feature Descriptor,” Proc. Chinese Conference on Pattern Recognition, pp. 311-320, August 2018, Urumqi, China.

8.         Jianzhu Guo, Xiangyu Zhu, Zhen Lei, Stan Z. Li. Face Synthesis for Eyeglasss-Robust Face Recognition. In Proceedings of the 13th Chinese Conference on Biometrics (CCBR2018). XinJiang, China, August 11-12, 2018.

9.         Chubin Zhuang, Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Stan Z. Li. Single Shot Attention-Based Face Detector. In Proceedings of the 13th Chinese Conference on Biometrics (CCBR2018). XinJiang, China, August 11-12, 2018.

10.     Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao,Learning to Detect Verbose Expressions in Spoken Texts, China National Conference on Computational Linguistics LNCS, volume 11221，P363-375，2018.10.19,Changsha,China

11.     Pengfei Cao, Yubo Chen, Kang Liu and Jun Zhao,Adversarial Training for Relation Classification with Attention based Gate Mechanism, China Conference on Knowledge Graph and Semantic Computing CCIS, volume 957，P91-102,2018.08.14,Tianjin,China

12.     Xinyu Zuo, Yubo Chen, Kang Liu and Jun Zhao,  Event Coreference Resolution via a Multi-Loss Neural Network without Using Argument Information, China Conference on Knowledge Graph and Semantic Computing,2018.08.14, Tianjin, China

开放课题客座发表论文

国际刊物（International Journals）

1.       Wei Wang, Wei Gao. Efficient Multi-Plane Extraction from Massive 3D Points for Modeling Large-scale Urban Scenes. The Visual Computer, DOI:10.1007/s00371-018-1492-z, 2018(1):1-14. 

2.       D. J. Zeng, Y. Dai, F. Li, R.S. Sherratt and J. Wang. Adversarial learning for distant supervised relation extraction. Computers, Materials and Continua. 55 (1). pp. 121-136, 2018.

3.       D. J. Zeng, Y. Dai, F. Li and J. Wang. Aspect Based Sentiment Analysis by a Linguistically Regularized CNN with Gated Mechanism. Journal of Intelligent & Fuzzy Systems. 2018 (已录用)

4.       Baochang Zhang, Shang Zhen Luan, Chen Chen, Jungong Han, LingShao, Latent Constrained Correlation Filter, IEEE Transactions on Image Processing, 2018.

5.       Shangzhen Luan, Baochang Zhang, Chen Chen, Jungong Han, Jianzhuang Liu, Gabor Convolutional Networks, IEEE Transactions on Image Processing, 2018.

6.       Baochang Zhang , Alessandro Perina , Ce Li , Qixiang Ye , Vittorio Murino , Alessio Del Bue , Manifold constraint transfer for visual structure-driven optimization, Pattern Recognition, 2018.

7.       Chunyu Xie, Ce Li, Baochang zhang, etc. Hierarchical Residual Stochastic Networks for Time Series Recognition, Information Science, 2018.

8.       Chunlei Li, Guangshuai Gao, Zhoufeng Liu, Miao Yu and Di Huang: Fabric defect detection based on biological vision modeling. IEEE Access 6: 27659-27670, 2018.

9.       Jun-Bao Li, Huanyu Liu, Jeng-Shyang Pan, Hongxun Yao. Training Samples-Optimizing Based Dictionary Learning Algorithm for MR Sparse Superresolution Reconstruction. Biomedical Signal Processing and Control 39:177-184, 2018.

10.   X. Jia, X. Shi and F. Chen. Survey on the Theory and Applications of µ-Bases for Rational Curves and Surfaces. Journal of Computational and Applied Mathematics, Vol. 329, 2-23, 2018.

11.   J. Gui, T. Liu, Z. Sun, D. Tao, and T. Tan, "Fast Supervised Discrete Hashing", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 2, pp. 490-496, 2018.

12.   J. Gui, T. Liu, Z. Sun, D. Tao, and T. Tan, "Supervised Discrete Hashing with Relaxation", IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 3, pp. 608-617, 2018.

13.   Zhong Zhang*, Meiyan Huang: Discriminative Structural Metric Learning for Person Re-identification in Visual Internet of Things. IEEE Internet of Things Journal (IEEE IoT), 5(5): 3361-3368, 2018.

14.   Zhong Zhang*, Donghong Li, Shuang Liu, Baihua Xiao, Xiaozhong Cao: Cross-Domain Ground-based Cloud Classification Based on Transfer of Local Features and Discriminative Metric Learning. Remote Sensing, 10(1) 8: 1-22, 2018.

15.   Zhong Zhang*, Hong Wang, Shuang Liu, and Baihua Xiao: Consecutive Convolutional Activations for Scene Character Recognition. IEEE ACCESS, 6: 35734-35742, 2018.

16.   Zhong Zhang*, Hong Wang, Shuang Liu, and Baihua Xiao: Deep Contextual Stroke Pooling for Scene Character Recognition. IEEE ACCESS, 6: 16454-16463, 2018.

17.   Feifei Zhang, Qirong Mao, Xiangjun Shen, Yongzhao Zhan, Ming Dong. Spatially Coherent Feature Learning for Pose-invariant Facial Expression Recognition, ACM Transactions on Multimedia Computing and Communication, 14(1s):1-19, 2018.

18.   Qirong Mao, Feifei Zhang, Ming Dong. Cascaded Multi-Level Transformed Dirichlet Process for Multi-Pose Facial Expression Recognition, The Computer Journal, 61(11), 1605-1619, 2018.

19.   Chao Shen, Yufei Chen, Yao Liu, Xiaohong Guan, Adaptive Human-Machine Interactive Behavior Analysis with Wrist-Worn Devices for Password Inference. IEEE Transactions on Neural Networks and Learning Systems, 2018.

20.   Xiaoming Liu, Chao Shen*, Xiaohong Guan, Yadong Zhou, We Know Who You Are: Discovering Similar Groups Across Multiple Social Networks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018.

21.   Chao Shen, Yuanxun Li, Yufei Chen, Xiaohong Guan, Roy A. Maxion. Performance Analysis of Multi-Motion Sensor Behavior for Active Smartphone Authentication, IEEE Transactions on Information Forensics and Security, 2018.

22.   Chao Shen, Yufei Chen, Xiaohong Guan. Performance Evaluation of Implicit Smartphones Authentication via Sensor-behavior Analysis. Information Sciences, 2018.

23.   Chao Shen, Yufei Chen, Xiaohong Guan, Roy Maxion. Pattern-Growth based Mining Mouse-Interaction Behavior for an Active User Authentication System. IEEE Transactions on Dependable Secure Computing, 2018.

24.   Jinrong He, Yingzhou Bi, Bin Liu1, Zhigao Zeng. "Graph-dual Laplacian principal component analysis". Journal of Ambient Intelligence and Humanized Computing, 2018. Published Online. DOI : 10.1007/s12652-018-1096-5.（SCI期刊，https://rdcu.be/9ved）

25.   Jun Li, Yangkun Luo, Chong Wang, Zhigao Zeng. "Simplified particle swarm algorithm based on nonlinear decrease extreme disturbance and Cauchy mutation". International Journal of Parallel, Emergent and Distributed Systems,2018, https://doi.org/10.1080/17445760.2018.1455834. (EI 期刊)

26.   Yewang Chen, Shengyu Tan, Nizar Bougulia. A Fast Clustering Algorithm based on pruning unnecessary distance computations in DBSCAN for High-Dimensional Data. 2018，pattern recognition, vol(83):375-387 (online, SCI IF 4.582,模式识别国际顶级期刊,Thomson JCR 一区,中科院2区)

27.   Yewang Chen, Shengyu Tang，Songwen Pei, etl. DHeat: A Density Heat-based Algorithm for Clustering with Effective Radius. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2018, vol(48):4, pp: 649-660 ( SCI, IF 5.13, Thomson JCR二区,中科院 大小类 3区)

28.   Mo-yi Zhang, Qiu-yu Zhang, Hong-xiang Duan, and Hai-yan Chen: Self-Calibration Based View-Invariant Hand Gesture Trajectory Analysis, Journal of Information Hiding and Multimedia Signal Processing, 9(5):1114-1127, 2018. (已录待刊, EI)

29.   Shuang Liu*, Xiaolong Hao, Zhong Zhang, “Pedestrian Retrieval via Part-based Gradation Regularization in Sensor Networks,” IEEE ACCESS, vol. 6, pp. 38171-38178, 2018;

30.   Wenqi Ren, Jingang Zhang, Xiangyu Xu, Lin Ma, Xiaochun Cao, Gaofeng Meng and Wei Liu: Deep Video Dehazing with Semantic Segmentation. IEEE Trans. on Image Processing, 2018.

31.   Boyi Li, Wenqi Ren, Dengpan Fu, Dacheng Tao, Dan Feng, Wenjun Zeng, and Zhangyang Wang：Benchmarking Single Image Dehazing and Beyond. IEEE Trans. on Image Processing, 2018.

32.   Yanxiong Li, Xianku Li, Yuhan Zhang, Mingle Liu, and Wucheng Wang: Anomalous sound detection using deep audio representation and a BLSTM network for audio surveillance of roads. IEEE Access 6(10): 58043-58055, 2018.

33.   Xiao-Diao Chen, Junyi Ma, Jiapei Jin, Yigang Wang. A two-points-Pade- approximant-based method for bounding some trigonometric functions. Journal of Inequalities and Applications, (2018) 2018:140.

34.   Xiao-Diao Chen, Song Jin, Li-geng Chen, Yigang Wang. A new method for refining the Shafer’s equality and bounding the definite integrals. Results in Mathematics, 2018,73(2): 78.

35.   Yongming Li*, Tingjie Xie, Pin Wang, Jie Wang, Shujun Liu, Xichuan Zhou, Xinzheng Zhang. Joint spectral-spatial hyperspectral image classification based on hierarchical subspace switch ensemble learning algorithm. Applied Intelligence, 2018, 48(11): 4128-4148 (SCI: 000446426900016/EI: 20182205265474)

36.   Pin Wang, Jie Wang, Lirui Wang, Meifang Yin, Yongming Li, Jun Wu. Classification Of Pathogenic Bacteria Using Near-Infrared Diffuse Reflectance Spectroscopy Reflectance Spectroscopy, Journal Of Applied Spectroscopy, 2018,85(6):904-911 (SCI/EI收录)

37.   J. Yang, D. She, M. Sun, M.-M. Cheng, P. L. Rosin, L. Wang, Visual sentiment prediction based on automatic discovery of affective regions, TMM, 20(9): 2513-2525, 2018

38.   J. Yang, X. Sun, Y.-K. Lai, L. Zheng, M.-M. Cheng, Recognition from web data: A progressive filtering approach, TIP, 27(11): 5303-5315, 2018

39.   J. Yang, J. Liang, H. Shen, K. Wang, P. L. Rosin, M.-H. Yang, Dynamic match kernel with deep convolutional features for image retrieval, TIP, 27(11): 5288-5302, 2018

40.   Amaia Calleja, Pengbo Bo, Haizea González, Michael Bartoň and Luis Norberto López de Lacalle: Highly accurate 5-axis flank CNC machining with conical tools. International Journal of Advanced Manufacturing Technology 97(5-8):1605-1615, 2018.

41.   Peng Li, Peng Ren, Xiaoyu Zhang*, Qian Wang, Xiaobin Zhu, Lei Wang: Region-wise deep feature representation for remote sensing images. Remote Sensing, 10(6), 871, 1-14, 2018.

42.   Peng Li, Xiaoyu Zhang, Xiaobin Zhu, Peng Ren: Online hashing for scalable remote sensing image retrieval. Remote Sensing, 10(5), 709, 1-15, 2018.

43.   Qiu-Feng Wang, Mirror Xu, and Amir Hussain: Large-scale Ensemble Model for Customer Churn Prediction in Search Ads. Cognitive Computation, 2018. https://doi.org/10.1007/s12559-018-9608-3

44.   Qiu-Feng Wang, Mirror Xu, and Amir Hussain: Large-scale Ensemble Model for Customer Churn Prediction in Search Ads. Cognitive Computation, 2018. https://doi.org/10.1007/s12559-018-9608-3

45.   Wei Ma, Yue Qin, Shibiao Xu, and Xiaopeng Zhang, Interactive Stereo Image Segmentation via Adaptive Prior Selection. Multimedia Tools and Applications 77(21):28709-28724, 2018. (SCI)

国内刊物（National Journals）

1.         鲍海兴，曾志高(通信作者)，朱艳辉等，一种变视野和步长的人工鱼群算法[J]，湖南工业大学学报，2018，32(3)：81-85

2.         张永兵，张秋余，李宗义，段宏湘，张墨逸．基于近似匹配的假位置k-匿名位置隐私保护方法[J]，控制与决策，2018. (已录待刊，EI)

3.         来毅，任莉，刘颖，空间差异度量约束的图像修复算法[J]，电讯技术，vol. 58，no. 8，pp. 900-906，Aug. 2018. （中文核心）

4.         来毅，辛可嘉，刘颖，多特征融合的视频镜头分割算法[J]，电讯技术，vol. 58，no. 7，pp. 792-797，July. 2018.（中文核心）

5.         郑玉健，伯彭波. 基于边界曲线的拟可展曲面构造方法及在船体造型中的应用[J]，计算机辅助设计与图形学学报 7: 1243-1250，2018 (EI)

6.         郑荟莹，伯彭波. 曲率线驱动的B样条曲面交互编辑 [J]，计算机辅助设计与图形学学报 6: 1065-1072，2018 (EI)

7.         李超，赵文萍，赵子平. 多视角判别分析的情感识别.信号处理，2018,Vol.34(8):998-1007

8.         马伟，龙晴晴，秦悦，徐士彪，张晓鹏. 基于画作线条结构分解的高清古画修复[J]，计算机辅助设计与图形学学报，30(9):1652-1661，2018. (EI)

国际会议（International Conferences）

1.       Wei Wang, Guoheng Ren, Liyong Chen. Efficiently Extracting Dominant Planes from Massive 3D Points Based on Scene Structure Priors. Advances in Intelligent Systems and Computing. 2018:856(965-973).

2.       Shangzhen Luan，Baochang Zhang, Chen Chen，Jungong Han，Jianzhuang Liu：Gabor Convolutional Networks, 2018.

3.       Hongfeng Bao, Le Wu*, Peijie Sun. Contextual Attention Model for Social Recommendation. The 19th Pacific-Rim Conference on Multimedia (PCM 2018), 630:641, Hefei, China. (EI, CCF推荐C类会议)

4.       Nelson Ruwa, Qirong Mao, Liangjun Wang, and Ming Dong. Affective Visual Question Answering Network: 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) (2018).  Miami, FL, USA, 2018.4.10-12, ISBN: 978-1-5386-1857-8, pp: 170-173.

5.       Feifei Zhang, Tianzhu Zhang, Qirong Mao and Changsheng Xu: Joint Pose and Expression Modeling for Facial Expression Recognition, CVPR2018, Salt Lake City, USA, 2018.6.18-22.

6.       Feifei Zhang, Tianzhu Zhang, Qirong Mao, Lingyu Duan and Changsheng Xu: Facial Expression Recognition in the Wild: A Cycle-Consistent Adversarial Attention Transfer Approach, ACM Multimedia2018, Seoul, Korea, 2018.10.22-26.

7.       Chao Shen, Qi Lv, Zhao Wang, Yufei Chen, Xiaohong Guan. Hand-interactive behavior analysis for user authentication systems with wrist-worn devices, 2018 IEEE International Conference on Infomration, Cybernetics, and Computational Social Systems, 2018. (Best Paper Award)

8.       Yewang Chen, Lida Zhou, Liangliang Sheng etl. Semi-Convex Hull Tree: Fast Neighbor Query Algorithm on GPUs. ICDM2018 (accepted，数据挖掘三大顶级学术会议之一)

9.       Qiuyu Zhang, Qian Wang, Moyi Zhang and Hongxiang Duan: Dynamic Hand Gesture Tracking Method Based on Key Frame and Video Perceptual Hashing, ISAI 2018, June 22-24, 2018 Suzhou, Jiangsu, China.

10.   Wenqi Ren, Lin Ma, Jiawei Zhang, Jinshan Pan, XiaochunCao, Wei Liu and Ming-Hsuan Yang: Gated Fusion Network for Single Image Dehazing. CVPR 2018

11.   Wenqi Ren, Lin Ma, Jinshan Pan, Xiaochun Cao, Wangmeng Zuo, Wei Liu and Ming-Hsuan Yang: Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation. NIPS 2018

12.   Yanxiong Li, Xianku Li, Yuhan Zhang, Wucheng Wang, Mingle Liu, and Xiaohui Feng：Acoustic Scene Classification Using Deep Audio Feature and BLSTM Network. ICALIP 2018:371-374.

13.   J. Yang, D. She, Y.-K. Lai, P. L. Rosin, M.-H. Yang, Weakly Supervised Coupled Networks for Visual Sentiment Analysis, CVPR, 2018, spotlight

14.   J. Yang, L. Chen, L. Zhang, X. Sun, D. She, S.-P. Lu, M.-M. Cheng, Historical Context-based Style Classification of Painting Images via Label Distribution Learning, ACM MM, 2018

15.   Y. Zhang, J. Fu, D. She, Y. Zhang, S. Wang, J. Yang, Text Emotion Distribution Learning via Multi-task Convolutional Neural Network, IJCAI, 2018

16.   J. Fu, D. She, X. Yao, Y. Zhang, J. Yang, Deep Coordinated Textual and Visual Network for Sentiment-Oriented Cross-modal Retrieval, PRICAI, 2018

17.   J. Yang, X. Sun, J. Liang, P. L. Rosin, Clinical Skin Lesion Diagnosis Using Representations Inspired by Dermatologist Criteria, CVPR, 2018

18.   J. Liang, J. Yang, H.-Y. Lee, K. Wang, M.-H. Yang, Sub-GAN: An Unsupervised Generative Model via Subspaces, ECCV, 2018

19.   Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Yuhang Jiao, Edwin R. Hancock. A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels. In Proceedings of Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, (S+SSPR), 2018. (Oral，EI检索)

20.   Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Lixiang Xu, Edwin R. Hancock. A Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs. In Proceedings of Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition(S+SSPR),2018. (Oral，EI检索)

21.   Yuhang Jiao, Lixin Cui, Lu Bai, Yue Wang. Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel. In Proceedings of Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, (S+SSPR),2018. (Oral，EI检索)

22.   Lixin Cui, Lu Bai, Luca Rossi, Yue Wang, Jiao Yuhang, Edwin Hancock. A Deep Hybrid Graph Kernel through Deep Learning Networks. In Proceedings of International Conference on Pattern Recognition (ICPR), 2018. (Oral, 待EI检索；国际模式识别重要会议; CCF推荐)

23.   Xiao-Yu Zhang, Shupeng Wang, Yanfei Lv, Peng Li, Haiping Wang: Augmented Self-paced Learning with Generative Adversarial Networks. In Proc. International Conference on Computational Science (ICCS), 450-456, 2018.

24.   Xiao-Yu Zhang, Shupeng Wang, Xin Jin, Xiaobin Zhu, Binbin Li: Effective Semi-supervised Learning based on Local Correlation. In Proc. International Conference on Computational Science (ICCS), 775-781, 2018.

25.   Shupeng Wang, Xiao-Yu Zhang*, Xianglei Dang, Binbin Li, Haiping Wang: Effective Learning with Joint Discriminative and Representative Feature Selection. In Proc. International Conference on Computational Science (ICCS), 632-638, 2018.

26.   Jinxiang Ma, Xinnan Fan, Hongchun Pan, Shiming Xiang, Zhixiang Wu, Xuewu Zhang. Underwater Image Enhancement with Contextual Regularization and Adaptive Gain Compensation, 2nd International Symposium on Artificial Intelligence and Applications. Novemner 22~24,2018. Changzhou, Jiangsu, China.

27.   Ziping Zhao, Yu Zheng, Zixing Zhang, Haishuai Wang, Yiqin Zhao, Chao Li. Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition. Insterspeech 2018:272-276.

28.   Ziping Zhao, Yiqin Zhao, Zhongtian Bao, Haishuai Wang, Zixing Zhang, Chao Li. Deep Spectrum Feature Representations for Speech Emotion Recognition. ASMMC-MMAC’ 18:27-33.

29.   Jitao Sang: Deep Learning Interpretation. ACM Multimedia 2018

30.   Yang Wang, Zhibin Pan, “A State Codebook Generation Algorithm of Side Match Vector Quantization,” International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Sendai, Japan, November 2018, pp.305-312.

国内会议(National Conference):

1.         曾道建，童国维，戴愿，李峰，韩冰，谢松县. 基于序列到序列模型的法律问题关键词抽取. 第十七届中国计算语言学大会. 2018.10.19-21