| 2015论文目录 |
| List of Publications |
| 编（专）著 |
| 1.Bin Fan, Zhenhua Wang, and Fuchao Wu. Local Image Descriptor: Modern Approaches，Springer Briefs in Computer Science Springer, ISBN：978-3-662-49171-3，DOI：10.1007/978-3-662-49173-7, pp.1-99,2015. |
| 2.Cheng-Lin Liu, Bin Luo, Walter Kropatsch, Jian Cheng, Graph-Based Representations in Pattern Recognition, GbR2015, Beijing, China, LNCS Vol.9069, Springer, ISBN978-3-319-18223-0, Number of Pages XII, 1-376.2015. |
| 3.Keikichi Hirose, Jianhua Tao, Speech Prosody in Speech Synthesis: Modeling and generation of prosody for high quality and flexible speech synthesis, Springer, ISBN:978-3-662-45257-8, Mar.2015. |
| 专著与编著的章节 |
| 1.Ya Li, Jianhua Tao, Mandarin Stress Analysis and Prediction for Speech Synthesis, Springer:Speech Prosody in Speech Synthesis,PP:83-95. |
| 2.Nick Campbell, Ya Li, Expressivity in Interactive Speech Synthesis; Some Paralinguistic and Nonlinguistic Issues of Speech Prosody for Conversational Dialogue Systems, Springer: Speech Prosody in Speech Synthesis, PP:96-107. |
| 国际刊物（International Journals） |
| 计算机视觉（Computer Vision） |
| 1.Xiaoqin Zhang; Weiming Hu; Nianhua Xie; Hujun Bao and Stephen Maybank, A robust tracking system for low frame rate video, International Journal of Computer Vision (IJCV), vol. 115, no. 3, pp. 279-304, 2015. |
| 2.Shibiao Xu, Feihu Zhang, Xiaofei He, Xukun Shen and Xiaopeng Zhang. PM-PM: PatchMatch with Potts model for object segmentation and stereo matching. IEEE Transactions on Image Processing, Vol. 24, No. 7, pp. 2182 - 2196, 2015. |
| 3.Er Li, John Femiani, Shibiao Xu, Xiaopeng Zhang, Peter Wonka, Robust Rooftop Extraction from Visible Band Images Using Higher Order CRF, IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, No. 8, pp. 4483 - 4495, 2015. |
| 4.Longquan Dai, Feihu Zhang, Xing Mei and Xiaopeng Zhang, Fast Minimax Path-Based Joint Depth Interpolation, IEEE Signal Processing Letters, Vol. 22, No. 5, 2015, pp. 623 - 627, 2015. |
| 5.Longquan Dai, Mengke Yuan and Xiaopeng Zhang, Optimal fitting polynomial for linear time bilateral Interpolation, Electronics Letters, Vol. 51, No.16, pp.1249-1251, 2015. |
| 6.Yanhua Cheng, Xin Zhao, Kaiqi Huang and Tieniu Tan, “Semi-supervised Learning and Feature Evaluation for RGB-D Object Recognition,” Computer Vision and Image Understanding, vol. 139, pp. 149-160, 2015. |
| 7.Shu Zhang, Jian Liang, Ran He and Zhenan Sun, “Code Consistent Hashing based on Information-theoretic Criterion,” IEEE Trans. on Big Data, vol. 1, No. 3, pp. 84-94, 2015. |
| 8.Chong Wang and Kaiqi Huang, “How to Use Bag-of-words Model Better for Image Classification,” Image and Visual Computing, vol. 38, pp.65-74, 2015. |
| 9.Chong Wang and Kaiqi Huang, “VFM: Visual Feedback Model for Robust Object Recognition,” Journal of Computer Science and Technology, vol. 30, no. 2, pp. 325-339, 2015. |
| 10.Yanhu Shan, Zhang Zhang, Peipei Yang and Kaiqi Huang, “Adaptive Slice Representation for Human Action Classification,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 25, no.10, pp. 1624-1636, 2015. |
| 11.Hainan Cui, Shuhan Shen, Wei Gao, Zhanyi Hu. Efficient Large-Scale Structure from Motion by Fusing Auxiliary Imaging Information. IEEE Transactions on Image Processing,Vol.24, No.11, pp.3561-3573, 2015 |
| 12.H. X. Wang, X. Lu, Z.Y. Hu, Y. X. Li, A vision-based fully-automatic calibration method for hand-eye serial robot. Industrial robot, 2015, 1(42):64-73. |
| 13.F. C. Wu, M. Zhang, G. H. Wang, and Z. Y. Hu, Algebraic Error Based Triangulation and Metric of Lines, PloS ONE, July 28, pp.1-27, 2015 |
| 14.Wei Liu, Yihong Wu, Fusheng Guo, and Zhanyi Hu. An Efficient Approach of 2D to 3D Video Conversion Based on Piece-wise Structure from Motion. The Visual Computer, Vol. 31, Iss. 1, pp. 55-68, 2015. |
| 15.Yi Yang, Hengliang Luo, Huarong Xu, Fuchao Wu, Towards real-time traffic sign detection and classification, IEEE Transactions on Intelligent Transportation Systems, vol. PP, no. 99,pp. 1-10, 2015 |
| 图象/视频处理与分析（Image/Video Processing and Analysis） |
| 16.Guibo Zhu, Jinqiao Wang, Chaoyang Zhao, Hanqing Lu, Weighted Part Context Learning for Visual Tracking, IEEE Transaction on Image Processing, Volume 24, September 2015, Pages 5140-5151. |
| 17.Chong Wang, Kaiqi Huang, Weiqiang Ren, Junge Zhang and Stephen J. Maybank, “Large-Scale Weakly Supervised Object Localization via Latent Category Learning,” IEEE Trans. on Image Processing, vol. 24, no.4, pp. 1371-1385, 2015. |
| 18.Kaiqi Huang, Chong Wang and Dacheng Tao, “High-Order Topology Modeling of Visual Words for Image Classification,” IEEE Trans. on Image Processing, vol. 24, no.11, pp. 3598-3608, 2015. |
| 19.Ran He, Yingya Zhang, Zhenan Sun and Qiyue Yin, “Robust Subspace Clustering with Complex Noise,” IEEE Trans. on Image Processing, vol. 24, no.11, pp. 4001-4013, 2015. |
| 20.Ran He, Man Zhang, Liang Wang, Ye Ji and Qiyue Yin, “Cross-Modal Subspace Learning via Pairwise Constraints,” IEEE Trans. on Image Processing, vol. 24, no.12, pp. 5543-5556, 2015. |
| 模式识别（Pattern Recognition） |
| 21.Yan-Ming Zhang, Kaizhu Huang, Guang-Gang Geng, Cheng-Lin Liu, MTC: A fast and robust graph-based transductive learning algorithm, IEEE Trans. Neural Networks and Learning Systems, 26(9): 1979-1991, 2015. |
| 22.Xu-Yao Zhang, Lingfeng Wang, Shiming Xiang, Cheng-Lin Liu, Retargeted least squares regression algorithm, IEEE Trans. Neural Networks and Learning Systems, 26(9): 2206-2213, 2015. |
| 23.Zhao Zhang, Cheng-Lin Liu, Ming-Bo Zhao, A sparse projection and low-rank recovery framework for handwriting representation and salient stroke feature extraction, ACM Trans. On Intelligent System and Technology, 6(1): No.9, 2015. |
| 24.Weiming Hu, Wei Li, Xiaoqin Zhang, and Stephen Maybank, Single and multiple object tracking using a multi-feature joint sparse representation, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 37, no. 4, pp. 816-833, 2015. |
| 25.Bing Li, Weihua Xiong, Weiming Hu and Brian Funt, Horror image recognition based on context-aware multi-instance learning, IEEE Transaction on Image Processing, vol. 24, no. 12, pp. 5193-5025, 2015. |
| 26.Bingyuan Liu, Jing Liu, Hanqing Lu, Learning representative and discriminative image representation by deep appearance and spatial coding. Computer Vision and Image Understanding 136: 23-31 (2015). |
| 27.Zechao Li, Jing Liu, Jinhui Tang, Hanqing Lu, Robust Structured Subspace Learning for Data Representation. IEEE Trans. on Pattern Analysis and Machine Intelligence, 37(10): 2085-2098 (2015). |
| 28.Jing Liu, Bingyuan Liu, Hanqing Lu, Detection Guided Deconvolutional Network for Hierarchical Feature Learning, Pattern Recognition, 48(8): 2645-2655 (2015). |
| 29.Jing Liu, Yu Jiang, Zechao Li, Zhi-Hua Zhou, and Hanqing Lu, Partially Shared Latent Factor Learning with Multi-View Data, IEEE Transactions on Neural Networks and Learning Systems. 26(6): 1233-1246 (2015). |
| 30.Qiyue Yin, Shu Wu, Ran He and Liang Wang, “Multi-view Clustering via Pairwise Sparse Subspace Representation,” Neurocomputing, vol. 156, pp.12-21, 2015. |
| 31.Junge Zhang, Yanhu Shan and Kaiqi Huang, “ISEE Smart Home (ISH): Smart Video Analysis for Home Security,” Neurocomputing, vol. 149, pp.752-766, 2015. |
| 32.Jianwei Ding, Yunqi Tang, Wei Liu, Yongzhen Huang and Kaiqi Huang, “Tracking by Local Structural Manifold Learning In A New SSIR Particle Filter,” Neurocomputing, vol. 161, pp.277-289, 2015. |
| 33.Lijun Cao, Xu Zhang, Weiqiang Ren and Kaiqi Huang, “Large Scale Crowd Analysis Based on Convolutional Neural Network,” Pattern Recognition, vol. 48, no.10, pp. 3016-3024, 2015. |
| 34.Ran He, Yinghao Cai, Tieniu Tan and Larry S. Davis, “Learning Predictable Binary Codes for Face Indexing,” Pattern Recognition, vol. 48, No. 10, pp. 3160-3168, 2015. |
| 35.Leigang Huo, Xiangchu Feng, Chunlei Huo, Chunhong Pan: Learning Deep Dictionary for Hyperspectral Image Denoising. IEICE Transactions 98 D(7): 1401-1404 (2015) |
| 36.Shiming Xiang, Gaofeng Meng, Ying Wang, Chunhong Pan, Changshui Zhang: Image Deblurring with Coupled Dictionary Learning. International Journal of Computer Vision 114(2-3): 248-271 (2015) |
| 37.Yonghao He, Cuicui Kang, Jian Wang, Shiming Xiang, Chunhong Pan: Image tag-ranking via pairwise supervision based semi-supervised model.Neurocomputing 167: 614-624 (2015) |
| 38.Kun Ding, Chunlei Huo, Yuan Xu, Zisha Zhong, Chunhong Pan: Sparse Hierarchical Clustering for VHR Image Change Detection. IEEE Geosci. Remote Sensing Lett. 12(3): 577-581 (2015) |
| 39.Zisha Zhong, Bin Fan, Jiangyong Duan, LingFeng Wang, Kun Ding, Shiming Xiang, Chunhong Pan: Discriminant Tensor Spectral-Spatial Feature Extraction for Hyperspectral Image Classification. IEEE Geosci. Remote Sensing Lett. 12(5):1028-1032 (2015) |
| 40.Haichang Li, Shiming Xiang, Zisha Zhong, Kun Ding, Chunhong Pan: Multicluster Spatial-Spectral Unsupervised Feature Selection for Hyperspectral Image Classification. IEEE Geosci. Remote Sensing Lett.12(8): 1660-1664 (2015) |
| 41.Shaoguo Liu, Haibo Wang, Yiyi Wei, Chunhong Pan: BB-Homography: Joint Binary Features and Bipartite Graph Matching for Homography Estimation. IEEE Trans. Circuits Syst. Video Techn.25(2): 239-250 (2015) |
| 42.LingFeng Wang, Huai-Yu Wu, Chunhong Pan: Manifold Regularized LocalmSparse Representation for Face Recognition. IEEE Trans. Circuits Syst. Video Techn. 25(4): 651-659 (2015) |
| 43.Qian Zhang, Yuan Tian, Yiping Yang, Chunhong Pan: Automatic Spatial-Spectral Feature Selection for Hyperspectral Image via Discriminative Sparse Multimodal Learning. IEEE T. Geoscience and Remote Sensing 53(1): 261-279 (2015) |
| 44.Ying Wang, Chunhong Pan, Shiming Xiang, Feiyun Zhu: Robust Hyperspectral Unmixing With Correntropy-Based Metric. IEEE Transactions on Image Processing 24(11): 4027-4040 (2015) |
| 45.Cuicui Kang, Shiming Xiang, Shengcai Liao, Changsheng Xu, Chunhong Pan: Learning Consistent Feature Representation for Cross-Modal Multimedia Retrieval. IEEE Transactions on Multimedia 17(3): 370-381(2015) |
| 46.Shaoguo Liu, Haibo Wang, Jue Wang, Sunghyun Cho, Chunhong Pan: Automatic blur-kernel-size estimation for motion deblurring. The Visual Computer 31(5): 733-746 (2015) |
| 47.LingFeng Wang, Xuyao Zhang, Chunhong Pan: MSDLSR: Margin Scalable Discriminative Least Squares Regression for Multicategory Classification[J]. TNNLS 2015: 1-7. |
| 48.Wei Sui, Lingfeng Wang, Bin Fan, Hongfei Xiao, Huaiyu Wu, Chunhong Pan: Layer-wise Floorplan Extraction for Automatic Urban Building Reconstruction[J]. TVCG 2015: 1-16. |
| 49.Guangliang Cheng, Feiyun Zhu, Shiming Xiang, Ying Wang, and Chunhong Pan: Semisupervised Hyperspectral Image Classification via Discriminant Analysis and Robust Regression[J]. JSTARS 2015: 1-14. |
| 机器学习(Machine learning) |
| 50.Fan, X.-R., Kang, M.-Z., de Reffye, P., Heuvelink, E., and Hu, B.-G., A knowledge-and-data-driven modeling approach for simulating plant growth: A case study on tomato growth, Ecological Modelling, Vol. 312, pp. 363-373, 2015. |
| 51.Li, C.-G, Mei, X. and Hu, B.-G., Unsupervised ranking of multi-attribute objects based on principal curves, IEEE Transactions on Knowledge and Data Engineering，Vol. 27, pp. 3404-3416, 2015. |
| 52.Ran, Z.-Y., and Hu, B.-G., An identifying function approach for determining parameter structure of statistical learning machines, Neurocomputing, Vol. 162, pp. 209-217, 2015. |
| 53.Wu, B.-Y., Lyu, S., Hu, B.-G., and Ji, Q., Multi-label learning with missing labels for image annotation and facial action unit recognition". Pattern Recognition, Vol. 48, pp. 2279-2289, 2015. |
| 计算机图形学（Computer Graphics） |
| 54.Kekai Sheng, Weiming Dong, Yan Kong, Xing Mei, Jilin Li, Chengjie Wang, Feiyue Huang,Bao-Gang Hu: Evaluating the Quality of Face Alignment without Ground Truth. Computer Graphics Forum, 34(7): 213 - 223 (2015). |
| 55.Wenzhuo Xu, Bin Wang, Dong-Ming Yan, Wall grid structure for interior scene synthesis, Computers & Graphics (Special Issue of SMI 2014), Volume 46, February 2015, Pages 231 - 243. |
| 56.Yuanhao Cao, Dong-Ming Yan, Peter Wonka. Patch layout generation by detecting feature networks. Computers & Graphics (Special Issue of SMI 2014), Volume 46, February 2015, Pages 275 - 282. |
| 57.Dong-Ming Yan, Jianwei Guo, Bin Wang, Xiaopeng Zhang, Peter Wonka: A Survey of Blue-Noise Sampling and Its Applications. Journal of Computer Science & Technology. 30(3): 439 - 452 (2015). |
| 58.Jianwei Guo, Dong-Ming Yan, XiaohongJia, Xiaopeng Zhang, Efficient Maximal Poisson-disk Sampling and Remeshing on Surfaces, Computers & Graphics (Special Issue of SMI 2014), Vol. 46, Pages 72-79, February 2015. |
| 59.Xavier Bonaventura, Jianwei Guo, Weiliang Meng, Miquel Feixas, Xiaopeng Zhang, Mateu Sbert: 3D shape retrieval using viewpoint information-theoretic measures. Journal of Visualization and Computer Animation, Vol. 26, No.2, pp. 147-156. 2015. |
| 多媒体计算（Multimedia Computing） |
| 60.Yifan Zhang, Zhiqiang Tang, Chunjie Zhang, Jing Liu, Hanqing Lu, Automatic face annotation in TV series by video/script alignment, Neurocomputing, Volume 152, 2015, Pages 316-321 |
| 61.Cong Leng, Jian Cheng, Consensus Hashing, Machine Learning, Volume 100, September 2015, Pages 379-398 |
| 62.Jinqiao Wang, Jianlong Fu, Hanqing Lu, Finding logos in real-world images with point-context representation-based region search, Multimedia Systems, (2015) 21:301–311 |
| 63.Xi Zhang, Jian Cheng, Shuang Qiu, Guibo Zhu, Hanqing Lu. DualDS: A Dual Discriminative Rating Elicitation Framework for Cold Start Recommendation. Knowledge-Based Systems, Vol.73, pp.161-172, 2015 |
| 64.Ting Yuan, Jian Cheng, Xi Zhang, Qingshan Liu, Hanqing Lu, How friends affect user behaviors? An exploration of social relation analysis for recommendation. Knowl.-Based Syst. 88: 70-84 (2015) |
| 65.Jianlong Fu, Jinqiao Wang, Yong Rui, Xin-Jing Wang, Tao Mei, Hanqing Lu, Image Tag Refinement With View-Dependent Concept Representations. IEEE Trans. Circuits Syst. Video Techn. 25 (8) : 1409-1422(2015) |
| 66.Zifeng Wu, Yongzhen Huang and Liang Wang, Learning Representative Deep Features for Image Set Analysis, IEEE Trans. on Multimedia, vol. 17, no.11, pp. 1960-1968, 2015. |
| 67.Yan Huang, Wei Wang and Liang Wang, “Unconstrained Multimodal Multi-Label Learning,” IEEE Trans. on Multimedia, vol. 17, no.11, pp. 1923-1935, 2015. |
| 68.Jitao Sang, Zhengyu Deng and Changsheng Xu. Cross-OSN User Modeling by Homogeneous Behavior Quantification and Local Social Regularization. TMM 17(12): 2259-2270, 2015. |
| 69.Jitao Sang, Tao Mei, Changsheng Xu. Activity Sensor: Check-In Usage Mining for Local Recommendation. ACM TIST 6(3): 41, 2015. |
| 70.Quan Fang, Jitao Sang and Changsheng Xu. Relational User Attribute Inference in Social Media. TMM 17(7): 1031-1044, 2015. |
| 71.Zhaoquan Yuan, Changsheng Xu, Jitao Sang, Shuicheng Yan, M. Shamim Hossain. Learning Feature Hierarchies: A Layer-Wise Tag-Embedded Approach. IEEE Transactions on Multimedia 17(6): 816-827, 2015. |
| 72.Quan Fang, Changsheng Xu, Jitao Sang, M. Shamim Hossain, Muhammad Ghulam. Word-of-Mouth Understanding: Entity-Centric Multimodal Aspect-Opinion Mining in Social Media. IEEE Transactions on Multimedia 17(12):2281-2296, 2015. |
| 73.Ming Yan, Jitao Sang, Changsheng Xu, M. Shamim Hossain: YouTube Video Promotion by Cross-network Association: @Britney to Advertise gangnam style. IEEE Trans. on Multimedia (TMM) 17(8): 1248-1261, 2015. |
| 74.Xiaoshan Yang, Tianzhu Zhang, and Changsheng Xu. Cross Domain Feature Learning in Multimedia. IEEE Transactions on Multimedia, Vol. 17, No. 1, pp. 64-78, 2015. |
| 75.Xiaoshan Yang, Tianzhu Zhang, and Changsheng Xu. Automatic Visual Concept Learning for Social Event Understanding. IEEE Transactions on Multimedia, Vol. 17, No. 3, pp. 1-13, 2015. |
| 76.Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu, and Ming-Hsuan Yang. Boosted Multi-Feature Learning for Cross-Domain Transfer. ACM Transactions on Multimedia Computing, Communications and Applications, Vol. 11, No. 3, pp. 1–18, 2015. |
| 77.Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu. “A New Discriminative Coding Method for Image Classification”. Multimedia Systems Journal, Vol. 21, No. 2, pp. 133-145, 2015. |
| 生物特征信息处理（Biometric Information Processing） |
| 78.Jianqing Zhu, Shikun Feng, Dong Yi, Shengcai Liao, Zhen Lei, Stan Z. Li. High Performance Video Condensation System. IEEE Transaction on Circuits and Systems for Video Technology, 25(7): 1113-1124, July, 2015. |
| 79.Hong Han, Jianfei Zhu, Shengcai Liao, Zhen Lei, Stan Z. Li. Moving Object Detection Revisited: Speed and Robustness. IEEE Transaction on Circuits and Systems for Video Technology, 25(6): 910-921, June, 2015. |
| 80.Jianwei Yang, Zhen Lei, Dong Yi, Stan Z. Li. Person-Specific Face Anti-Spoofing with Subject Domain Adaptation. IEEE Transactions on Information Forensics and Security, 10(4): 797-809, April, 2015. |
| 医学图像分析(Medical Image Analysis) |
| 81.Chen, F., Lv, X., Fang, J., Yu, S., Sui, J., Fan, L., Li, T., Hong, Y., Wang, X., Wang, W., Jiang, T., 2015. The effect of body-mind relaxation meditation induction on major depressive disorder: A resting-state fMRI study. J Affect Disord 183, 75-82. |
| 82.Chu, C., Fan, L., Eickhoff, C.R., Liu, Y., Yang, Y., Eickhoff, S.B., Jiang, T., 2015. Co-activation Probability Estimation (CoPE): An approach for modeling functional co-activation architecture based on neuroimaging coordinates. Neuroimage 117, 397-407. |
| 83.He, H., Yu, Q., Du, Y., Vergara, V., Victor, T.A., Drevets, W.C., Savitz, J.B., Jiang, T., Sui, J., Calhoun, V.D., 2015. Resting-state functional network connectivity in prefrontal regions differs between unmedicated patients with bipolar and major depressive disorders. J Affect Disord 190, 483-493. |
| 84.He, J., Cui, Y., Song, M., Yang, Y., Dang, Y., Jiang, T., Xu, R., 2015. Decreased functional connectivity between the mediodorsal thalamus and default mode network in patients with disorders of consciousness. Acta Neurol Scand 131, 145-151. |
| 85.Hou, B., Zhang, D., Zhao, S., Wei, M., Yang, Z., Wang, S., Wang, J., Zhang, X., Liu, B., Fan, L., Li, Y., Qiu, Z., Zhang, C., Jiang, T., 2015. Scalable and DiI-compatible optical clearance of the mammalian brain. Front Neuroanat 9, 19. |
| 86.Huang, X., Zheng, Z., Hu, G., Wu, S., Rasch, M.J., 2015. Different propagation speeds of recalled sequences in plastic spiking neural networks. New Journal of Physics 17, 035006. |
| 87.Jiang, G., Yin, X., Li, C., Li, L., Zhao, L., Evans, A.C., Jiang, T., Wu, J., Wang, J., 2015. The Plasticity of Brain Gray Matter and White Matter following Lower Limb Amputation. Neural Plast 2015, 823185. |
| 88.Jie, N., Zhu, M., Ma, X., Osuch, E., Wammes, M., Theberge, J., Li, H.-D., Zhang, Y., Jiang, T.-Z., Sui, J., 2015. Discriminating bipolar disorder from major depression based on SVM-FoBa: efficient feature selection with multimodal brain imaging data. IEEE Transactions on Autonomous Mental Development 7, 320-331. |
| 89.Li, J., Chen, C., Wu, K., Zhang, M., Zhu, B., Chen, C., Moyzis, R.K., Dong, Q., 2015. Genetic variations in the serotonergic system contribute to amygdala volume in humans. Front Neuroanat 9, 129. |
| 90.Li, J., Cui, Y., Wu, K., Liu, B., Zhang, Y., Wang, C., Jiang, T., 2015. The cortical surface area of the insula mediates the effect of DBH rs7040170 on novelty seeking. Neuroimage 117, 184-190. |
| 91.Li, J., Liu, B., Chen, C., Cui, Y., Shang, L., Zhang, Y., Wang, C., Zhang, X., He, Q., Zhang, W., Bi, W., Jiang, T., 2015. RAB2A Polymorphism impacts prefrontal morphology, functional connectivity, and working memory. Hum Brain Mapp 36, 4372-4382. |
| 92.Li, Q., Song, M., Fan, L., Liu, Y., Jiang, T., 2015. Parcellation of the primary cerebral cortices based on local connectivity profiles. Front Neuroanat 9, 50. |
| 93.Liu, B., Fan, L., Cui, Y., Zhang, X., Hou, B., Li, Y., Qin, W., Wang, D., Yu, C., Jiang, T., 2015. DISC1 Ser704Cys impacts thalamic-prefrontal connectivity. Brain Struct Funct 220, 91-100. |
| 94.Liu, H., Qin, W., Qi, H., Jiang, T., Yu, C., 2015. Parcellation of the human orbitofrontal cortex based on gray matter volume covariance. Hum Brain Mapp 36, 538-548. |
| 95.Liu, J., Zhang, X., Yu, C., Duan, Y., Zhuo, J., Cui, Y., Liu, B., Li, K., Jiang, T., Liu, Y., 2015. Impaired Parahippocampus Connectivity in Mild Cognitive Impairment and Alzheimer’s Disease. Journal of Alzheimer's Disease, 1-14. |
| 96.Liu, L., Fu, L., Zhang, X., Zhang, J., Zhang, X., Xu, B., Tian, J., Fan, Y., 2015. Combination of dynamic (11)C-PIB PET and structural MRI improves diagnosis of Alzheimer's disease. Psychiatry Res 233, 131-140. |
| 97.Liu, X., Li, H., Luo, F., Zhang, L., Han, R., Wang, B., 2015. Variation of the default mode network with altered alertness levels induced by propofol. Neuropsychiatr Dis Treat 11, 2573-2581. |
| 98.Qin, W., Xuan, Y., Liu, Y., Jiang, T., Yu, C., 2015. Functional Connectivity Density in Congenitally and Late Blind Subjects. Cereb Cortex 25, 2507-2516. |
| 99.Song, H., Long, H., Zuo, X., Yu, C., Liu, B., Wang, Z., Wang, Q., Wang, F., Han, Y., Jia, J., 2015. APOE Effects on Default Mode Network in Chinese Cognitive Normal Elderly: Relationship with Clinical Cognitive Performance. PLoS One 10, e0133179. |
| 100.Song, M., Wang, J., Jiang, T., 2015. How the coevolution of language and sociality has helped to shape the human brain. Sci China Life Sci 58, 927-928. |
| 101.Sui, J., Pearlson, G.D., Du, Y., Yu, Q., Jones, T.R., Chen, J., Jiang, T., Bustillo, J., Calhoun, V.D., 2015. In Search of Multimodal Neuroimaging Biomarkers of Cognitive Deficits in Schizophrenia. Biol Psychiatry 78, 794-804. |
| 102.Sui, X., Zhu, M., Cui, Y., Yu, C., Sui, J., Zhang, X., Liu, J., Duan, Y., Zhang, Z., Wang, L., Zhang, X., Jiang, T., 2015. Functional Connectivity Hubs Could Serve as a Potential Biomarker in Alzheimer's Disease: A Reproducible Study. Curr Alzheimer Res 12, 974-983. |
| 103.Tao, Y., Liu, B., Zhang, X., Li, J., Qin, W., Yu, C., Jiang, T., 2015. The Structural Connectivity Pattern of the Default Mode Network and Its Association with Memory and Anxiety. Front Neuroanat 9, 152. |
| 104.Wang, C., Liu, B., Long, H., Fan, L., Li, J., Zhang, X., Qiu, C., Yu, C., Jiang, T., 2015. Epistatic interaction of BDNF and COMT on the frontostriatal system. Neuroscience 298, 380-388. |
| 105.Wang, J., Fan, L., Wang, Y., Xu, W., Jiang, T., Fox, P.T., Eickhoff, S.B., Yu, C., Jiang, T., 2015. Determination of the posterior boundary of Wernicke's area based on multimodal connectivity profiles. Hum Brain Mapp 36, 1908-1924. |
| 106.Wang, J., Yang, Y., Fan, L., Xu, J., Li, C., Liu, Y., Fox, P.T., Eickhoff, S.B., Yu, C., Jiang, T., 2015. Convergent functional architecture of the superior parietal lobule unraveled with multimodal neuroimaging approaches. Hum Brain Mapp 36, 238-257. |
| 107.Wang, P., Zhou, B., Yao, H., Zhan, Y., Zhang, Z., Cui, Y., Xu, K., Ma, J., Wang, L., An, N., Zhang, X., Liu, Y., Jiang, T., 2015. Aberrant intra- and inter-network connectivity architectures in Alzheimer's disease and mild cognitive impairment. Sci Rep 5, 14824. |
| 108.Wang, W., Yu, J., Liu, Y., Yin, R., Wang, H., Wang, J., Tan, L., Radua, J., Tan, L., 2015. Voxel-based meta-analysis of grey matter changes in Alzheimer's disease. Transl Neurodegener 4, 6. |
| 109.Wang, Y., Fan, X., Li, H., Lin, Z., Bao, H., Li, S., Wang, L., Jiang, T., Fan, Y., Jiang, T., 2015. Tumor border sharpness correlates with HLA-G expression in low-grade gliomas. J Neuroimmunol 282, 1-6. |
| 110.Xie, S., Zuo, N., Shang, L., Song, M., Fan, L., Jiang, T., 2015. How does B-value affect HARDI reconstruction using clinical diffusion MRI data? PLoS One 10, e0120773. |
| 111.Yan, H., Tian, L., Wang, Q., Zhao, Q., Yue, W., Yan, J., Liu, B., Zhang, D., 2015. Compromised small-world efficiency of structural brain networks in schizophrenic patients and their unaffected parents. Neurosci Bull 31, 275-287. |
| 112.Yang, X., Li, Y., Reutens, D., Jiang, T., 2015. Diffeomorphic Metric Landmark Mapping Using Stationary Velocity Field Parameterization. Int J Comput Vis, 1-18. |
| 113.Yang, Y., Fan, L., Chu, C., Zhuo, J., Wang, J., Fox, P.T., Eickhoff, S.B., Jiang, T., 2015. Identifying functional subdivisions in the human brain using meta-analytic activation modeling-based parcellation. Neuroimage 124, 300-309. |
| 114.Yang, Y., Li, W., Zhang, H., Yang, G., Wang, X., Ding, M., Jiang, T., Lv, L., 2015. Association Study of N-Methyl-D-Aspartate Receptor Subunit 2B (GRIN2B) Polymorphisms and Schizophrenia Symptoms in the Han Chinese Population. PLoS One 10, e0125925. |
| 115.Ye, C., Murano, E., Stone, M., Prince, J.L., 2015. A Bayesian approach to distinguishing interdigitated tongue muscles from limited diffusion magnetic resonance imaging. Comput Med Imaging Graph 45, 63-74. |
| 116.Yin, R.H., Tan, L., Liu, Y., Wang, W.Y., Wang, H.F., Jiang, T., Zhang, Y., Gao, J., Canu, E., Migliaccio, R., Filippi, M., Gorno-Tempini, M.L., Yu, J.T., 2015. Multimodal Voxel-Based Meta-Analysis of White Matter Abnormalities in Alzheimer's Disease. J Alzheimers Dis 47, 495-507. |
| 117.Zhang, J., Bi, W., Zhang, Y., Zhu, M., Zhang, Y., Feng, H., Wang, J., Zhang, Y., Jiang, T., 2015. Abnormal functional connectivity density in Parkinson's disease. Behav Brain Res 280, 113-118. |
| 118.Zhang, P., Qin, W., Wang, D., Liu, B., Zhang, Y., Jiang, T., Yu, C., 2015. Impacts of PICALM and CLU variants associated with Alzheimer's disease on the functional connectivity of the hippocampus in healthy young adults. Brain Struct Funct 220, 1463-1475. |
| 119.Zhang, X., Li, J., Qin, W., Yu, C., Liu, B., Jiang, T., 2015. The catechol-o-methyltransferase Val158Met polymorphism modulates the intrinsic functional network centrality of the parahippocampal cortex in healthy subjects. Scientific reports 5. |
| 120.Zhang, X., Yu, J., Zhao, R., Xu, W., Niu, H., Zhang, Y., Zuo, N., Jiang, T., 2015. Activation detection in functional near-infrared spectroscopy by wavelet coherence. J Biomed Opt 20, 16004. |
| 121.Zhang, X., Yu, J.T., Li, J., Wang, C., Tan, L., Liu, B., Jiang, T., 2015. Bridging Integrator 1 (BIN1) Genotype Effects on Working Memory, Hippocampal Volume, and Functional Connectivity in Young Healthy Individuals. Neuropsychopharmacology 40, 1794-1803. |
| 122.Zhang, Y., Caspers, S., Fan, L., Fan, Y., Song, M., Liu, C., Mo, Y., Roski, C., Eickhoff, S., Amunts, K., Jiang, T., 2015. Robust brain parcellation using sparse representation on resting-state fMRI. Brain Struct Funct 220, 3565-3579. |
| 123.Zhang, Y., Tan, F., Xu, X., Duan, L., Liu, H., Tian, F., Zhu, C., 2015. Multiregional functional near-infrared spectroscopy reveals globally symmetrical and frequency-specific patterns of superficial interference. Biomed Opt Express 6, 2786-2802. |
| 124.Zheng, F., Xie, W., 2015. Imaging-Based Patient Selection and Endovascular Therapy of Ischemic Stroke: A Stratified Meta-Analysis. Medicine (Baltimore) 94, e1539. |
| 125.Zhou, Y., Fan, L., Qiu, C., Jiang, T., 2015. Prefrontal cortex and the dysconnectivity hypothesis of schizophrenia. Neurosci Bull 31, 207-219. |
| 126.Zhou, Y., Li, S., Dunn, J., Li, H., Qin, W., Zhu, M., Rao, L., Yu, C., Jiang, T., 2015. The neural correlates of risk propensity in males and females using resting-state fMRI. Frontiers in Behavioral Neuroscience 8. |
| 语音语言技术（Speech and Language Technology） |
| 127.Mei Tu, Yu Zhou and Chengqing Zong. Exploring Diverse Features for Statistical Machine Translation Model Filtering. IEEE/ACM Transactions on Audio, Speech and Language Processing (ASLP), Vol. 23, No.11, November 2015, pp.1847-1857 |
| 128.Jiajun Zhang and Chengqing Zong. Deep Neural Networks in Machine Translation: An Overview. IEEE Intelligent Systems, 30(5), 2015, pp. 16-25 |
| 129.Rui Xia, Feng Xu, Chengqing Zong, Qianmu Li, Yong Qi, and Tao Li. Dual Sentiment Analysis: Considering Two Sides of One Review. IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 27, No. 8, August 2015, pp. 2120-2133 |
| 130.Haitong Yang, Tao Zhuang and Chengqing Zong. Domain Adaptation for Syntactic and Semantic Dependency Parsing Using Deep Belief Networks. Transactions of Association for Computational Linguistics (TACL), Vol. 3, pp. 271-282, 2015 |
| 131.Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou and Chengqing Zong. Towards Machine Translation in Semantic Vector Space, ACM Transactions on Asian Language and Low-Resource Language Information Processing (TALLIP), Vol. 14, No. 2 (March 2015), Article 9, 26 pages |
| 132.Xiaoqing Li, Chengqing Zong and Keh-Yih Su. A Unified Model for Solving the OOV Problems of Chinese Word Segmentation, ACM Transactions on Asian Language and Low-Resource Language Information Processing (TALLIP), Vol. 14, No. 3 (June 2015), Article 12, 29 pages |
| 133.Minghao Yang, Jianhua Tao, Linlin Chao, Hao Li, Dawei Zhang, Hao Che, Tingli Gao, User behavior fusion in dialog management with multi-modal history cues, Multimedia Tools and Applications, Volume 74, Issue 22 (2015), Page 10025-10051. |
| 134.Xiaoyan Wang, Minghao Yang*, Ming Xia, Yongsong Zhan, Lihui Shi, Chuanyan M, Jianhua Tao, Shengyong Chen, Fast unsupervised texture segmentation using Texel similarity map, Journal of Modern Optics, Volume 62, Issue 15, 2015, pages 1211-1222. |
| 135.Su-Jing Wang, Wen-Jing Yan, Xiaobai Li, Guoying Zhao, Chun-Guang Zhou, Xiaolan Fu, Minghao Yang, Jianhua Tao, Micro-Expression Recognition Using Color Spaces, IEEE Transactions on Image Processing, Vol. 24, No. 12, December 2015. |
| 136.Ya Li, Jianhua Tao, Hirose, K., Xiaoying Xu, Wei Lai, Hierarchical stress modeling and generation in mandarin for expressive Text-to-Speech, Speech Communication, Vol.72,pp.59-73, 2015. |
| 137.Hao Che, Ya Li, Jianhua Tao, Zhengqi Wen, Investigating Effect of Rich Syntactic Features on Mandarin Prosodic Phrase Boundaries Prediction, Journal of Signal Processing Systems, June 2015, pp 1-9. |
| 138.Wei Xue, Wenju Liu, Shan Liang, Noise Robust Direction of Arrival Estimation for Speech Source with Weighted Bispectrum Spatial Correlation Matrix, IEEE Journal of Selected Topics in Signal Processing, 9(5), 837-851, 2015. |
| 国内刊物（National Journals） |
| 计算机视觉（Computer Vision） |
| 1.余淼，胡占义，高阶马尔科夫随机场及其在场景理解中的应用，自动化学报，Vol.41， No.07 , pp:1213-1234 ,2015 |
| 2.傅康平, 王伟, 胡立华, 胡占义，结构化场景重建中一种融合直线信息的平面拟合方法，《中国科学:信息科学》， No.7，pp.889-902，2015 |
| 3.王伟， 胡占义，快速交互式三维城市场景重建，《中国科学.信息科学》，No.9， pp.1141-1156, 2015. |
| 模式识别（Pattern Recognition） |
| 4.喻庚，殷飞，陈友斌，刘成林，基于索引的快速手写中文文档关键词检索，模式识别与人工智能， 28(11): 1033-1040. 2015. |
| 计算机应用(Computer Application) |
| 5.黄凯奇, 陈晓棠, 康运锋, 谭铁牛, “智能视频监控技术综述, ” 计算机学报, vol. 20, no. 3, pp. 1093-1118, 2015. |
| 语音语言技术（Speech and Language Technology） |
| 6.汪昆，宗成庆，苏克毅，统计机器翻译和翻译记忆的动态融合方法研究，中文信息学报，2015年3月，第29卷，第2期，第87-94页。 |
| 7.张志琳，宗成庆，基于多样化特征的中文微博情感分类方法研究，中文信息学报，2015年7月，第29卷，第4期，第134-143页 |
| 国际会议（International Conferences） |
| 计算机视觉(Computer Vision) |
| 1.Mengdan Zhang, Junliang Xing, Jin Gao and Weiming Hu, Robust Visual Tracking Using Joint Scale-Spatial Correlation Filters, IEEE International Conference on Image Process(ICIP), pp.1468-1472, 2015. |
| 2.Mengdan Zhang, Junliang Xing, Jin Gao, Xinchu Shi; Qiang Wang and Weiming Hu, Joint Scale-Spatial Correlation Tracking with Adaptive Rotation Estimation, IEEE International Conference on Computer Vision Workshops, 2015. |
| 3.Yabo Fan; Junliang Xing and Weiming Hu, Load-Balanced Locality-Sensitive Hasing: A New Method for Efficient Near Duplicate Image Detection, IEEE International Conference on Image Processing (ICIP), pp. 53-57, 2015. |
| 4.Lin Ma; Xiaoqin Zhang; Weiming Hu; Junliang Xing; Jiwen Lu and Jie Zhou, Local subspace collaborative tracking, IEEE International Conference on Computer Vision , pp.4301-4309, 2015. |
| 5.Xue Mao; Zhouyu Fu; Ou Wu and Weiming Hu, Optimizing Locally Linear Classifiers with Supervised Anchor Point Learning，International Joint Conference on Artificial Intelligence(IJCAI), pp. 3699-3706, 2015. |
| 6.Qiang You; Weiming Hu and Ou Wu, Influence Maximization in Human-Intervened Social Networks, International Joint Conference on Artificial Intelligence Workshops (IJCAI 2015), pp. 9-14, 2015. |
| 7.Shuang Yang; Chunfeng Yuan; Baoxin Wu; Weiming Hu and Fangshi Wang, Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, pp.1610-1618. |
| 8.Houwen Peng, Kai Li, Bing Li, Haibin Ling, Weihua Xiong, Weiming Hu, Predicting Image Memorability by Multi-view Adaptive Regression, ACM international conference on Multimedia. ISBN: 978-1-4503-3459-4, pp. 1147-1150 , 2015. |
| 9.Xing Mei, Weiming Dong, Bao-Gang Hu and Siwei Lyu. UniHIST: A Unified Framework for Image Restoration with Marginal Histogram Constraints. In IEEE Conference on Computer Vision and Pattern Recognition, pp. 3753- 3761, June 7 – 12, 2015. |
| 10.Xing Mei, Honggang Qi, Bao-Gang Hu and Siwei Lyu. Improving Image Restoration with Soft-Rounding. In IEEE International Conference on Computer Vision, December 11 - 18, 2015, Santiago, Chile, pp. 459-467, 2015. |
| 11.Longquan Dai, Mengke Yuan, Feihu Zhang and Xiaopeng Zhang. Fully Connected Guided Image Filtering, In IEEE International Conference on Computer Vision, December 11 - 18, 2015, Santiago, Chile, pp. 352-360, 2015. |
| 12.Feihu Zhang, Longquan Dai, Shiming Xiang, and Xiaopeng Zhang. Segment Graph based Image Filtering: Fast Structure-Preserving Smoothing, In IEEE International Conference on Computer Vision, December 11 - 18, 2015, Santiago, Chile, pp. 361-369, 2015. |
| 13.Shibiao Xu, Jiguang Zhang, Weilong Ding, Xukun Shen, Xiaopeng Zhang. Hybrid Tree Guided Patch Matching. International Conference on Virtual Reality and Visualization, 2015. |
| 14.Feng Liu, Yongzhen Huang, Wankou Yang and Changyin Sun, “High-level spatial modeling in convolutional neural network with application to pedestrian detection,” Proc. IEEE Canadian Conference on Electrical and Computer Engineering, pp. 778-783，May 2015, Halifax, Nova Scotia, Canada. |
| 15.Chi Zhang, Zhiwei Li, Yanhua Cheng, Rui Cai, Yanghong Chao and Yong Rui, “MeshStereo: A Global Stereo Model with Mesh Alignment Regularization for View Interpolation,” Proc. IEEE International Conference on Computer Vision, pp. 2057-2065，December 2015, Santiago, Chile. |
| 16.Yanhua Cheng, Rui Cai, Chi Zhang, Zhiwei Li, Xin Zhao, Kaiqi Huang and Yong Rui, “Query Adaptive Similarity Measure for RGB-D Object Recognition,” Proc. International Conference on Computer Vision, pp. 145-153，December 2015, Santiago, Chile. |
| 17.Chunshui Cao, Xianming Liu, Jiang Wang, Yinan Yu, Wei Xu, Yi Yang, Deva Ramanan, Chang Huang, Zilei Wang, Thomas Huang, Yongzhen Huang, and Liang Wang, “Look and Think Twice: Capturing Top-down Visual Attention With Feedback Convolutional Neural Networks,” Proc. International Conference on Computer Vision, pp. 2956-2964，December 2015, Santiago, Chile. |
| 18.Yan Huang, Wei Wang and Liang Wang, “Conditional High-order Boltzmann Machine: A Supervised Learning Model for Relation Learning,” Proc. IEEE International Conference on Computer Vision, pp. 4265-4273，December 2015, Santiago, Chile. |
| 19.Lianrui Fu, Junge Zhang and Kaiqi Huang, “Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation,” Proc. IEEE International Conference on Computer Vision, pp. 1976-1984，December 2015, Santiago, Chile. |
| 20.Yanhua Cheng, Rui Cai, Xi Zhao and Kaiqi Huang, “Convolutional Fisher Kernels for RGB-D Object Recognition,” Proc. International Conference on 3D Vision, pp. 135-143，October 2015, France. |
| 21.Yung-Hsiang Lu, Alan M. Kadin, Alexander C. Berg, Thomas M. Conte, Erik P. DeBenedictis, Rachit Garg, Ganesh Gingade, Bichlien Hoang, Yongzhen Huang, Boxun Li, Jingyu Liu, Wei Liu, Huizi Mao, Junran Peng, Tianqi Tang, Elie K. Track, Jingqiu Wang, Tao Wang, Yu Wang, Jun Yao, “Rebooting Computing and Low-Power Image Recognition Challenge,” Proc. International Conference on Computer Aided Design, pp. 927-932，November 2015, Austin, America. |
| 22.Q. Kong, Y. Zeng, Q. Dong. Biologically Inspired Deep Stereo Model. In Proc. IEEE International Conference on Image Processing, Sep.27-30,2015,Quebec city, Canada |
| 23.Lihang Li, Qiulei Dong and Yihong Wu. A Coarse-to-Fine Calibration Method for a Visual-Inertial System. International Conference on Real-time Computing and Robotics, June.24-26,2015,Changsha,China |
| 24.Ming Tang, Jiayi Feng, Multi-kernel Correlation Filter for Visual Tracking , IEEE International Conference on Computer Vision, Dec.7- 13, 2015,Chile |
| 25.Yanhong Bi，Bin Fan，Fuchao Fu, Beyond Mahalanobis Metric: Cayley-Klein Metric Learning, Conference on Computer Vision and Pattern Recognition, pp.2339-2347, 2015 Boston,USA |
| 26.Yi Yang, Zhenhua Wang, Fuchao Wu, Exploring prior knowledge for pedestrian detection, the 26th British Machine Vision Conference (BMVC 2015), pp.176.1-176.12, 2015, Swansea, UK |
| 27.Tianzhu Zhang, Si Liu, Changsheng Xu, Shuicheng Yan, Bernard Ghanem, Narendra Ahuja, and Ming-Hsuan Yang. Structural Sparse Tracking, Conference on Computer Vision and Pattern Recognition (CVPR 2015), June 7-12, 2015, Boston, Massachusetts, USA, pp. 150 - 158, 2015. |
| 模式识别（Pattern Recognition） |
| 28.Dongdong Wang, Shigang Yue, Jiawei Xu, Xinwen Hou, Cheng-Lin Liu, A saliency-based cascade method for fast traffic sign detection, IEEE Intelligent Vehicles Symposium, Seoul, Korea, 2015, pp.180-185. |
| 29.Fei Yin, Paipai Liu, Linlin Huang, Cheng-Lin Liu, Lexicon-driven recognition of one-stroke character strings in visual gesture, Proc. 13th ICDAR, Nancy, France, 2015, pp.421-425. |
| 30.Kai Chen, Fei Yin, Amir Hussain, Cheng-Lin Liu, Efficient text localization in born-digital images by local contrast-based segmentation, Proc. 13th ICDAR, Nancy, France, 2015, pp.291-295. |
| 31.Yi-Chao Wu, Fei Yin, Cheng-Lin Liu, Evaluation of neural network language models in handwritten Chinese text recognition, Proc. 13th ICDAR, Nancy, France, 2015, pp.166-170. |
| 32.Xin He, Yi-Chao Wu, Kai Chen, Fei Chen, Cheng-Lin Liu, Neural Network Based Over-Segmentation for Scene Text Recognition, Proc. 3rd ACPR, Kuala Lumpur, Malaysia, 2015. |
| 33.Dongdong Wang, Xinwen Hou, Cheng-Lin Liu, Traffic Sign Detection from Video: A Fast Approach with Tracking, Proc. 3rd ACPR, Kuala Lumpur, Malaysia, 2015. |
| 34.Guo-Sen Xie, Xu-Yao Zhang, Xiangbo Shu, Shuicheng Yan, Cheng-Lin Liu, Task-Driven Feature Pooling for Image Classification, Proc. ICCV, Santiago, Chile, 2015. |
| 35.Zhiqiang Tang, Yifan Zhang, Zechao Li and Hanqing Lu, Face clustering in videos with proportion prior, IJCAI 2015: 2191-2197. |
| 36.Peisong Wang, Qiang Song, Hua Han, Jian Cheng, Sequentially Supervised Long Short-Term Memory for Gesture Recognition, BICS 2015. |
| 37.Qiang Song, Jian Cheng, Hanqing Lu, Incremental Matrix Factorization via Feature Space Re-learning for Recommender System, ACM Conference on Recommender Systems for 2015:277-280. |
| 38.Yong Li, Jing Liu, Yuhang Wang, Hanqing Lu, Songde Ma, Weakly Supervised RBM for Semantic Segmentation, IJCAI 2015: 1888-1894. |
| 39.Cong Leng, Jiaxiang Wu, Jian Cheng, Xi Zhang, Hanqing Lu, Hashing for Distributed Data, ICML 2015: 1642-1650. |
| 40.Shuang Qiu, Jian Cheng, Xi Zhang, Hanqing Lu. Exploring Heterogeneity for Multi-Domain Recommendation with Decisive Factors Selection. WWW 2015. |
| 41.Xi Zhang, Jian Cheng, Shuang Qiu, Zhenfeng Zhu, Hanqing Lu, When Personalization Meets Conformity: Collective Similarity based Multi-Domain Recommendation. SIGIR 2015: 1019-1022. |
| 42.Jianlong Fu, Tao Mei, Kuiyuan Yang, Hanqing Lu, Yong Rui, Tagging Personal Photos with Transfer Deep Learning. WWW 2015: 344-354. |
| 43.Yong Du, Wei Wang and Liang Wang, “Hierarchical Recurrent Neural Network for Skeleton Based Action Recognition,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1110-1118, June 2015, Boston, USA. |
| 44.Kangwei Liu, Junge Zhang, Peipei Yang and Kaiqi Huang, “GRSA: Generalized Range Swap Algorithm for the Efficient Optimization of MRFs,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1761-1769, June 2015, Boston, USA. |
| 45.Fang Zhao, Yongzhen Huang, Liang Wang and Tieniu Tan, “Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1556-1564, June 2015, Boston USA. |
| 46.Yasser Chacon-Cabrera, Man Zhang, Eduardo Garea Llano and Zhenan Sun, “Iris Texture Description Using Ordinal Co-occurrence Matrix Features,” Proc. Iberoamerican Congress on Pattern Recognition, pp. 184-191，November 2015, Montevideo, Uruguay. |
| 47.Lianrui Fu, Junge Zhang and Kaiqi Huang, “Mirrored Non-Maximum Sup-pression for Accurate Object Part Localization,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia. |
| 48.Dangwei Li, Xiaotang Chen and Kaiqi Huang, “Multi-attribute Learning for Pedestrian Attribute Recognition in Surveillance Scenarios,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia. |
| 49.Chunfeng Song, Yongzhen Huang, Zhenyu Wang and Liang Wang, “1000fps Human Segmentation with Deep Convolutional Neural Networks,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia. |
| 50.Kaihao Zhang, Yongzhen Huang, Hong Wu and Liang Wang, “Facial Smile Detection Based on Deep Learning Features,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia. |
| 51.Hongsong Wang, Wei Wang and Liang Wang, “Hierarchical Motion Evolution for Action Recognition,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia. |
| 52.Yong Du, Yun Fu and Liang Wang, “Skeleton Based Action Recognition with Convolutional Neural Network,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia. |
| 53.Lingxiao Song, Man Zhang, Qi Li, Zhenan Sun and Ran He, “Float Greedy-search-based Subspace Clustering,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia. |
| 54.Pengcheng Liu, Peipei Yang, Kaiqi Huang and Tieniu Tan, “Uniform Low-Rank Representation for Unsupervised Visual Domain Adaptation,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia. |
| 55.Dong Wang, Ran He, Liang Wang and Tieniu Tan, “Adaptive Multi-view Clustering via Cross Trace Lasso,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia. |
| 56.Dong Cao, Ran He, Zhenan Sun and Tieniu Tan, “Joint Space Learning for Video-based Face Recognition,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia. |
| 57.Shu Zhang, Man Zhang, Qi Li, Tieniu Tan and Ran He, “Supervised Topology Preserving Hashing,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia. |
| 58.Jian Liang, Dong Cao, Ran He, Zhenan Sun and Tieniu Tan, “Principal Affinity based Cross-Modal Retrieval,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia. |
| 59.Guangqi Hou, Fei Liu and Zhenan Sun, “Computer Vision Research with New Imaging Technology,” Proc. SPIE International Symposium on Multispectral Image Processing and Pattern Recognition, October 2015, Enshi, China. |
| 60.Xiang Wang, Lin Li and Guangqi Hou, “Super-Resolved All-Refocused Image With A Plenoptic Camera,” Proc. SPIE International Symposium on Multispectral Image Processing and Pattern Recognition, October 2015, Enshi, China. |
| 61.Jun Bai, Limin Shi, Bangyu Li, Shiming Xiang, Chunhong Pan: Super-resolution reconstruction using graph Laplacian penalization. ICIP 2015: 487-491 |
| 62.Xiaomeng Xin, Lingfeng Wang, Chunhong Pan, Shigang Liu: Adaptive regularization level set evolution for medical image segmentation and bias field correction. ICIP 2015: 1006-1010 |
| 63.Lingfeng Wang, Chunhong Pan: Visual tracking via manifold regularized local structured sparse representation model. ICIP 2015: 1150-1154 |
| 64.Guangliang Cheng, Ying Wang, Feiyun Zhu, Chunhong Pan: Road extraction via adaptive graph cuts with multiple features. ICIP 2015: 3962-3966 |
| 65.Hongzhen Wang, Zikun Liu, Lingfeng Wang, Lubin Weng, Chunhong Pan: Objectness estimation using edges. ICIP 2015: 4136-4140 |
| 66.Yongchao Gong, Shiming Xiang, Lingfeng Wang, Chunhong Pan: Fine-structured object segmentation via local and nonlocal neighborhood propagation. ICIP 2015: 4619-4623 |
| 67.Wei Han, Jun Chu, LingFeng Wang, Chunhong Pan: Edge-Directed Single Image Super-Resolution via Cross-Resolution Sharpening Function Learning. CCCV (1) 2015: 210-219 |
| 68.Jun Chu, Wei Han, Wei Sui, Lingfeng Wang, Qi Wen, Chunhong Pan: Building Segmentation and Classification from Aerial LiDAR via Local Planar Features. CCCV (2) 2015: 313-322 |
| 69.LingFeng Wang, Chunhong Pan: Explicit order model for region-based level set segmentation. ICASSP 2015: 927-931 |
| 70.Guoli Wang, Bin Fan, Chunhong Pan: Ordinal pyramid pooling for rotation invariant object recognition. ICASSP 2015: 1349-1353 |
| 71.Kun Ding, Chunlei Huo, Bin Fan, Chunhong Pan: kNN Hashing With Factorized Neighborhood Representation. ICCV 2015: 1098-1106. |
| 72.Feiyun Zhu, Bin Fan, Xinliang Zhu, Ying Wang, Shiming Xiang, Chunhong Pan: 10, 000+ Times Accelerated Robust Subset Selection. AAAI 2015: 3217-3224 |
| 73.Cuicui Kang, Shengcai Liao, Yonghao He, Jian Wang, Wenjia Niu, Shiming Xiang, Chunhong Pan: Cross-Modal Similarity Learning: A Low Rank Bilinear Formulation. CIKM 2015: 1251-1260 |
| 74.Jian Wang, Yonghao He, Cuicui Kang, Shiming Xiang, Chunhong Pan: Image-Text Cross-Modal Retrieval via Modality-Specific Feature Learning. ICMR 2015: 347-354 |
| 75.Yonghao He, Jian Wang, Cuicui Kang, Shiming Xiang, Chunhong Pan: Large Scale Image Annotation via Deep Representation Learning and Tag Embedding Learning. ICMR 2015: 523-526 |
| 76.Gaofeng Meng, Zuming Huang, Yonghong Song, Shiming Xiang, Chunhong Pan: Extraction of Virtual Baselines From Distorted Document Images Using Curvilinear Projection. In Proceedings of the IEEE International Conference on Computer Vision (pp. 3925-3933). |
| 机器学习(Machine learning) |
| 77.L. Cao and B.-G. Hu, “Generalized constraint neural network regression model subject to equality function constraints”, in: (IJCNN’15), 2015. |
| 78.Yan Huang, Wei Wang, Liang Wang, “Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution,” Proc. Advances in Neural Information Processing Systems, pp. 235-243, December 2015, Quebec, Canada. |
| 生物特征信息处理（Biometric Information Processing ） |
| 79.Shengcai Liao and Stan Z. Li, Efficient PSD Constrained Asymmetric Metric Learning for Person Re-identification. In IEEE International Conference on Computer Vision (ICCV 2015), December 11-18, Santiago, Chile, 2015. |
| 80.Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li. Convolutional Channel Features. In Proceedings of IEEE International Conference on Computer Vision, (ICCV 2015), Santiago, Chile, December 11-18, 2015. |
| 81.Ting Liu, Zhen Lei, Jun Wan, Stan Z. Li. DFDnet: Discriminant Face Descriptor Network for Facial Age Estimation, In Proceedings of the 10th Chinese Conference on Biometrics, (CCBR2015). Tianjin, China, Nov. 13-15, 2015. |
| 82.Zhen Lei, Dong Yi, Xiangsheng Huang, Stan Z. Li. Subspace learning with frequency regularizer: its application to face recognition, In Proceedings of the 8th IAPR International Conference on Biometrics (ICB2015). Phuket, Thailand, May 19-22, 2015. |
| 83.Jianqing Zhu, Shengcai Liao, Dong Yi, Zhen Lei, Stan Z. Li. Multi-label CNN Based Pedestrian Attribute Learning for Soft Biometrics, In Proceedings of the 8th IAPR International Conference on Biometrics (ICB2015). Phuket, Thailand, May 19-22, 2015. |
| 84.Shengcai Liao, Yang Hu, Xiangyu Zhu, Stan Z. Li, Person Re-identification by Local Maximal Occurrence Representation and Metric Learning. In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2015), June 7-12, Boston, Massachusetts, USA, 2015. |
| 85.Junjie Yan, Yinan Yu, Xiangyu Zhu, Zhen Lei, Stan Z. Li. Object Detection by Labeling Superpixels, In Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR2015).Boston, June 7-12, 2015. |
| 86.Xiangyu Zhu, Zhen Lei, Junjie Yan, Dong Yi, Stan Z. Li. High-Fidelity Pose and Expression Normalization for Face Recognition in the Wild, In Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR2015).Boston, June 7-12, 2015. |
| 87.Longyin Wen, Dawei Du, Zhen Lei, Stan Z. Li, Ming-Hsuan Yang. JOTS: Joint Online Tracking and Segmentation, In Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR2015).Boston, June 7-12, 2015. |
| 88.Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li. Fine-grained Evaluation on Face Detection in the Wild, In Proceedings of 11th IEEE International Conference on Automatic Face and Gesture Recognition 2015 (FG2015). Ljubljana, Slovenia, May 4-8, 2015. |
| 89.Dong Yi, Zhen Lei, Stan Z. Li. Shared Representation Learning for Heterogenous Face Recognition, In Proceedings of 11th IEEE International Conference on Automatic Face and Gesture Recognition 2015 (FG2015). Ljubljana, Slovenia, May 4-8, 2015. |
| 90.Xiangyu Zhu, Junjie Yan, Dong Yi, Zhen Lei, Stan Z. Li. Discriminative 3D Morphable Model Fitting, In Proceedings of 11th IEEE International Conference on Automatic Face and Gesture Recognition 2015 (FG2015). Ljubljana, Slovenia, May 4-8, 2015. |
| 91.Wenbo Li, Longyin Wen, Mooi Choo Chuah, Yi Zhang, Zhen Lei, Stan Z. Li. Online Visual Tracking using Temporally Coherent Part Clusters. In Proceedings of 2015 IEEE Winter Conference on Applications of Computer Vision (WACV 2015). Waikoloa Beach, Hawaii, January 6-9, 2015. |
| 92.Di Miao, Man Zhang, Haiqing Li, Zhenan Sun and Tieniu Tan, “Bin-based Weak Classifier Fusion of Iris and Face Biometrics,” Proc. IEEE International Conference on Biometrics: Theory, Applications and Systems, pp. 1-6, September 2015, Washington, USA. |
| 93.Dong Cao, Ran He, Man Zhang, Zhenan Sun and Tieniu Tan, “Real-world Gender Recognition Using Multi-Order LBP and Localized Multi-boost Learning,” Proc. IEEE International Conference on Identity, Security and Behavior Analysis, pp. 1-6, March 2015, Hong Kong. |
| 计算机图形学（Computer Graphics） |
| 94.Lei Yi, Hongjun Li, Jianwei Guo, Oliver Deussen, Xiaopeng Zhang. Light-Guided Tree Modeling of Diverse Biomorphs [M]. Pacific Graphics (2015), Short Papers. 2015: 53-57. |
| 95.Haiyong Jiang, Weiming Dong, Dong-Ming Yan, Xiaopeng Zhang, Facade Layout Symmetrization, In CAD/Graphics 2015. |
| 96.Kai-Ke Zhang, Kai-Mo Hu, Li-Cheng Yin, Dong-Ming Yan, Bin Wang. CAD Parts-Based Assembly Modeling by Probabilistic Reasoning. In CAD/Graphics 2015. |
| 97.Teng P, Li H, Zhang X. Survey on Visualization Layout for Big Data [M], Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques (IScIDE 2015, Part II), LNCS 9243, pp. 384-394, Springer International Publishing, 2015. |
| 图象/视频处理与分析（Image/Video Processing and Analysis） |
| 98.Yuhang Wang, Jing Liu, Jinqiao Wang, Yong Li and Hanqing Lu, Color Names Learning Using Convolutional Neural Networks, ICIP 2015. |
| 99.Cong Leng, Jiaxiang Wu, Jian Cheng, Xiao Bai, Hanqing Lu, Online Sketching Hashing, CVPR 2015: 2503-2511. |
| 100.Haiyun Guo, Jinqiao Wang, Hanqing Lu, Learning Deep Compact Descriptor with Bagging Auto-encoders for Object Retrieval, ICIP 2015. |
| 101.Peng Ying, Jing Liu, Hanqing Lu, Dictionary Learning based Superpixels Clustering for Weakly-Supervised Semantic Segmentation, ICIP 2015. |
| 102.Yong Li, Jing Liu, Yuhang Wang, Bingyuan Liu, Jun Fu, Yunze Gao, Hui Wu, Hang Song, Peng Ying, Hanqing Lu, Hybrid Learning Framework for Large-Scale Web Image Annotation and Localization. CLEF (Working Notes) 2015. |
| 103.Kaiye Wang, Wei Wang and Liang Wang, “Learning Unified Sparse Representations for Multi-modal Data,” Proc. IEEE International Conference on Image Processing, pp. 3545-3549, September 2015, Quebec, Canada. |
| 104.Yueying Kao, Chong Wang and Kaiqi Huang, “Visual Aesthetic Quality Assessment with a Regression Model,” Proc. IEEE International Conference on Image Processing, pp. 1583-1587, September 2015, Quebec, Canada. |
| 105.Jingyu Liu, Yongzhen Huang, Xiaojiang Peng and Liang Wang, “Multi-view Descriptor Mining via Codeword Net for Action Recognition,” Proc. IEEE International Conference on Image Processing, pp. 793-797, September 2015, Quebec, Canada. |
| 106.Lianrui Fu, Junge Zhang and Kaiqi Huang, “Context Aware Model for Articulated Human Pose Estimation,” Proc. IEEE International Conference on Image Processing, pp. 991-995, September 2015, Quebec, Canada. |
| 107.Yuqi Zhang, Wei Wang and Liang Wang, “Scene Text Recognition with Deeper Convolutional Neural Networks,” Proc. IEEE International Conference on Image Processing, pp. 2384-2388, September 2015, Quebec, Canada. |
| 108.Qiyue Yin, Shu Wu and Liang Wang, “Partially Tagged Image Clustering,” Proc. IEEE International Conference on Image Processing, pp. 4012-4016, September 2015, Quebec, Canada. |
| 109.Jinde Liu, Xin Zhao, Kaiqi Huang and Tieniu Tan, “Learning Occlusion Patterns Using Semantic Phrases for Object Detection,” Proc. IEEE International Conference on Image Processing, pp. 686-690, September 2015, Quebec, Canada. |
| 110.Xikai Xu, Jing Dong, Wei Wang and Tieniu Tan, “Robust Steganalysis Based on Training Set Construction and Ensemble Classifiers Weighting,” Proc. IEEE International Conference on Image Processing, pp. 1498-1502, September 2015, Quebec, Canada. |
| 111.Fei Liu, Guangqi Hou, Zhenan Sun and Tieniu Tan, “Albedo Assisted High-Quality Shape Recovery from 4D Light Fields,” Proc. IEEE International Conference on Image Processing, pp. 1220-1224, September 2015, Quebec, Canada. |
| 112.Xikai Xu, Jing Dong, Wei Wang and Tieniu Tan, “Local Correlation Pattern for Image Steganalysis,” Proc. IEEE China Summit and International Conference on Signal and Information Processing, pp. 468-472, July 2015, Chengdu, China. |
| 113.Bo Peng, Wei Wang, Jing Dong and Tieniu Tan, “Detection of Computer Generated Faces in Videos Based on Pulse Signal,” Proc. IEEE China Summit and International Conference on Signal and Information Processing, pp. 841-845, July 2015, Chengdu, China. |
| 114.Bo Peng, Wei Wang, Jing Dong and Tieniu Tan, “Improved 3D Lighting En-vironment Estimation for Image Forgery Detection,” Proc. IEEE International Workshop on Information Forensics and Security, November 2015, Rome, Italy. |
| 多媒体计算（Multimedia Computing） |
| 115.Congqi Cao, Yifan Zhang, Hanqing Lu, Multi-Modal Learning for Gesture Recognition, ICME 2015: 1-6 |
| 116.Congqi Cao, Yifan Zhang, Hanqing Lu, Spatio-Temporal Triangular-Chain CRF for Activity Recognition, ACM MM 2015:1151-1154 |
| 117.Peng Ying, Jing Liu, Hanqing Lu, Songde Ma, Exclusive Constrained Discriminative Learning for Weakly-Supervised Semantic Segmentation, ACM MM 2015:1251-1254 |
| 118.Guibo Zhu, Jinqiao Wang, Yi Wu, Hanqing Lu, Collaborative Correlation Tracking, BMVC 2015 |
| 119.Yuhang Wang, Jing Liu, Yong Li and Hanqing Lu, Semi- and Weakly- Supervised Semantic Segmentation with Deep Convolutional Neural Networks, ACM MM 2015: 1223-1226 |
| 120.Qiang Song, Jian Cheng, Ting Yuan, Hanqing Lu, Personalized Recommendation Meets Your Next Favorite, CIKM 2015: 1775-1778 |
| 121.Qiang Song, Sixie Yu, Cong Leng, Jiaxiang Wu, Qinghao Hu, Jian Cheng, Learning Deep Features for MSR-bing Information Retrieval Challenge, ACM MM 2015: 169-172 |
| 122.Haiyun Guo, Jinqiao Wang, Min Xu, Zheng-Jun Zha, Hanqing Lu, Learning Multi-view Deep Features for Small Object Retrieval in Surveillance Scenarios, ACM MM 2015: 859-862 |
| 123.Lingxiao Song, Man Zhang, Zhenan Sun, Jian Liang and Ran He, “Two-Step Greedy Subspace Clustering,” Proc. Pacific-Rim Conference on Multimedia, pp. 45-54，September 2015, Gwangju, Korea. |
| 124.Kaiye Wang, Wei Wang, Liang Wang and Ran He, “A Two-step Approach to Cross-modal Hashing,” Proc. ACM International Conference on Multimedia Retrieval (ICMR, Short Paper), pp. 459-462, June 2015, Shanghai, China. |
| 125.Yue Gao, Anan Liu, Weizhi Nie, Yuting Su, Qionghai Dai, Fuhai Chen, Yingying Chen, Yanhua Cheng, Shuilong Dong, Xingyue Duan, Jianlong Fu, Zan Gao, Haiyun Guo, Xin Guo, Kaiqi Huang, Rongrong Ji, Yingfeng Jiang, Haisheng Li, Hanqing Lu, Jianming Song, Jing Sun, Tieniu Tan, Jinqiao Wang, Huanpu Yin, Chaoli Zhang, Guotai Zhang, Yan Zhang, Yan Zhang, Chaoyang Zhao, Xin Zhao, and Guibo Zhu, “3D Object Retrieval with Multimodal Views,” 3DOR, pp. 129-136, 2015. |
| 126.Jitao Sang, Dongyuan Lu, Changsheng Xu. A Probabilistic Framework for Temporal User Modeling on Microblogs. CIKM 2015, pp.961-970. |
| 127.Jitao Sang, Changsheng Xu. On Analyzing the 'Variety' of Big Social Multimedia. BigMM 2015: 5-8. |
| 128.Jitao Sang. User-centric Cross-OSN Multimedia Computing. ACM Multimedia 2015, pp.1333-1334. |
| 129.Shengsheng Qian, Tianzhu Zhang, Richang Hong, Changsheng Xu. Cross-Domain Collaborative Learning in Social Multimedia, ACM International Conference on Multimedia (MM 2015), October 26-30, 2015, Brisbane, Australia, pp. 99-108, 2015. |
| 130.Tianzhu Zhang, Si Liu, Changsheng Xu, Shuicheng Yan, Bernard Ghanem, Narendra Ahuja, and Ming-Hsuan Yang. Structural Sparse Tracking, Conference on Computer Vision and Pattern Recognition (CVPR 2015), June 7-12, 2015, Boston, Massachusetts, USA, pp. 150 - 158, 2015. |
| 131.Ming Yan, Jitao Sang, Changsheng Xu: Unified YouTube Video Recommendation via Cross-network Collaboration. ACM ICMR 2015: 19-26, Shanghai, China, June 23-26, 2015. |
| 132.Bing-Kun Bao, Weiqing Min, Teng Li, Changsheng Xu: Joint Local and Global Consistency on Interdocument and Interword Relationships for Co-Clustering. IEEE T. Cybernetics 45(1): 15-28 (2015) |
| 133.Chao Sun,Bing-Kun Bao, Changsheng Xu：Knowing Verb From Object: Retagging With Transfer Learning on Verb-Object Concept Images. IEEE Transactions on Multimedia 17(10): 1747-1759 (2015) |
| 134.Weiqing Min, Bing-Kun Bao, Changsheng Xu, M. Shamim Hossain: Cross-Platform Multi-Modal Topic Modeling for Personalized Inter-Platform Recommendation. IEEE Transactions on Multimedia 17(10): 1787-1801 (2015) |
| 135.Bing-Kun Bao, Changsheng Xu, Weiqing Min, Mohammod Shamim Hossain: Cross-Platform Emerging Topic Detection and Elaboration from Multimedia Streams. TOMCCAP 11(4): 54 (2015) |
| 数据挖掘（Data Mining） |
| 136.Qiang Liu, Shu Wu and Liang Wang, “COT: Contextual Operating Tensor for Context-aware Recommender Systems,” Proc. AAAI Conference on Artificial Intelligence, pp. 203-209, January 2015, Austin, USA. |
| 137.Song Xu, Shu Wu and Liang Wang, “Personalized Semantic Ranking for Collaborative Recommendation,” Proc. ACM SIGIR Conference on Research and Development in Information Retrieval pp. 971-974, August 2015, Santiago, Chile. |
| 138.Qiang Liu, Shu Wu and Liang Wang, “Collaborative Prediction for Multi-entity Interaction with Hierarchical Representation,” Proc. ACM International Conference on Information and Knowledge Management, pp. 613-622，October 2015, Melbourne, Australia. |
| 139.Qiang Liu, Feng Yu, Shu Wu and Liang Wang, “A Convolutional Click Prediction Model,” Proc. ACM International Conference on Information and Knowledge Management, pp. 1743-1746，October 2015, Melbourne, Australia. |
| 140.Qiyue Yin, Shu Wu and Liang Wang, “Incomplete Multi-view Clustering via Subspace Learning,” Proc. ACM International Conference on Information and Knowledge Management, pp. 383-392，October 2015, Melbourne, Australia. |
| 141.Weiyu Guo, Shu Wu, Liang Wang and Tieniu Tan, “Social-Relational Topic Model for Social Networks,” Proc. ACM International Conference on Information and Knowledge Management, pp. 1731-1734, October 2015, Melbourne, Australia. |
| 142.Dong Wang, Qiyue Yin, Ran He, Liang Wang and Tieniu Tan, “Multi-view Clustering via Structured Low-Rank Representation,” Proc. ACM International Conference on Information and Knowledge Management, pp. 1911-1914, October 2015, Melbourne, Australia. |
| 143.Qiyue Yin, Shu Wu and Liang Wang, “Learning to Hash for Recommendation with Tensor Data,” Proc. Asia Pacific Web Conference, pp. 292-303, September 2015, Guangzhou, China. |
| 144.Weiyu Guo, Shu Wu, Liang Wang and Tieniu Tan, “Multiple Attribute Aware Personalized Ranking,” Proc. Asia Pacific Web Conference, pp. 244-255, September 2015, Guangzhou, China. |
| 145.Song Xu, Shu Wu, Liang Wang, “Personalized Semantic Ranking for Collaborative Recommendation,” Proc. International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 971-974，August 2015, Santiago, Chile. |
| 146.Weiyu Guo, Shu Wu, Liang Wang and Tieniu Tan, “Adaptive Pairwise Learning for Personalized Ranking with Content and Implicit Feedback,” Proc. IEEE/WIC International Conference on Web Intelligence，December 2015, Singapore. |
| 医学图像分析(Medical Image Analysis) |
| 147.bipolar disorder from major depression using whole-brain functional connectivity: A feature selection analysis with SVM-FoBA algorithm. Machine Learning for Signal Processing (MLSP), 2015 IEEE 25th International Workshop on. IEEE, pp. 1-6. |
| 148.Si, J., Zhao, R., Zhang, Y., Zuo, N., Zhang, X., Jiang, T., 2015. A portable fNIRS system with eight channels. Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics II, San Francisco, California, United States, pp. 93051B-93051B-93054. |
| 语音语言技术(Speech and Language Technology) |
| 149.Guoping Huang, Jiajun Zhang, Yu Zhou, Chengqing Zong. A New Input Method for Human Translators: Integrating Machine Translation Effectively and Imperceptibly. In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI-15), Buenos Aires, Argentina, 25 July - 1 August 2015, Pages 1163-1169 |
| 150.Jiajun Zhang, Dakun Zhang and Jie Hao. 2015. Local Translation Prediction with Global Sentence Representation. In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI) 2015. Pp 1398-1404. |
| 151.Xiaoqing Li, Kun Wang, Dakun Zhang and Jie Hao. Well-Formed Dependency to String translation with BTG Grammar. In Proceedings of The 29th Pacific Asia Conference on Language, Information and Computation, October 30 - November 1, 2015, Shanghai, China. |
| 152.Zhuoyu Wei, Jun Zhao, Kang Liu, Zhenyu Qi, et al. Large-scale Knowledge Base Completion: Inferring via Grounding Network Sampling over Selected Instances, In: Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), Melbourne, Australia, Oct 19-23, 2015. |
| 153.Shizhu He, Kang Liu, Jun Zhao, Learning to Represent Knowledge Graphs with Gaussian Embedding, In: Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), Melbourne, Australia, Oct 19-23, 2015. |
| 154.Yubo Chen, Liheng Xu, Kang Liu and Jun Zhao,Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks, In: Proceedings of the 53rd annual meeting of the Association for Computational Linguistics (ACL 2015), Beijing, China, July 27-29, 2015 |
| 155.JiGuoliang, He Shizhu, Xu Liheng, Liu Kang and Zhao Jun,Knowledge Graph Embedding via Dynamic Mapping Matrix, In: Proceedings of the 53rd annual meeting of the Association for Computational Linguistics (ACL 2015), Beijing, China, July 27-29, 2015 |
| 156.Guangyou Zhou, Tingting He, Jun Zhao and Yin Zhou, Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering, In: Proceedings of the 53rd annual meeting of the Association for Computational Linguistics (ACL 2015), Beijing, China, July 27-29, 2015 |
| 157.Linlin Wang, Kang Liu, Zhu Cao, Jun Zhao,and Gerard de Melo . Sentiment-Aspect Extraction based on Restricted Boltzmann Machines., In: Proceedings of the 53rd annual meeting of the Association for Computational Linguistics (ACL 2015), Beijing, China, July 27-29, 2015 |
| 158.Siwei Lai, Liheng Xu, Kang Liu and Jun Zhao and Jun Zhao, Recurrent Convolutional Neural Networks for Text Classification, In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15), Austin, Texas, USA, 2015 (Full Regular Poster) |
| 159.Jiaming Xu, Peng Wang, Guanhua Tian, Bo Xu, Jun Zhao, Fangyuan Wang, Hongwei Hao. Convolutional Neural Networks for Text Hashing. In: Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina. 2015 |
| 160.Guangyou Zhou, Tingting He, Jun Zhao, and Wensheng Wu.A Subspace Learning Framework For Cross-Lingual Sentiment Classification With Partial Parallel Data. In: Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina. 2015 |
| 161.Daojian Zeng, Kang Liu, Yubo Chen, and Jun Zhao, Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks, In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, Lisbon, Portugal, September 17–21, 2015. Bin Liu, Jianhua Tao, Zhengqi Wen, Ya Li, Danish Bukhari, A Novel Method of Artificial Bandwidth Extension Using Deep Architecture, Interspeech 2015, PP：2598-2602, Sept.6-10, 2015, Dresden, Germany. |
| 162.Hao Li, Jianhua Tao, Minghao Yang, Bin Liu, Estimate Articulatory MRI Series From Acoustic Signal Using Deep Architecture, 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015, PP：4854-4858, Apr.19-24,2015, Brisbane, Australia. |
| 163.Hao Li, Jianhua Tao, Yang Wang, Evaluation of Linear Regression for Speaker Adaptation in HMM-Based Articulatory Movements Estimation, 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015, PP：4944-4948, Apr.19-24,2015, Brisbane, Australia. |
| 164.Linlin Chao, Jianhua Tao, Minghao Yang, Ya Li, Multi Task Sequence Learning for Depression Scale Prediction from Video, ACII 2015, PP：525-531, Sep.21-24,2015, Xian, China |
| 165.Ya Li, Yazhu Liu, Wei Bao, Linlin Chao, Jianhua Tao, From Simulated Speech to Natural Speech, What are the Robust Features for Emotion Recognition?, ACII 2015, PP.368-373,Sep.21-24, 2015, Xian,China. |
| 166.Ya Li，Nick Campbell，Jianhua Tao，Voice Quality: Not Only About “You” But Also About “Your Interlocutor”，ICASSP 2015，PP：4739-4743，Apr.19-24, 2015，Brisbane,Australia. |
| 167.Yang Wang，Minghao Yang，Zhengqi Wen，Jianhua Tao，Combining Extreme Learning Machine and Decision Tree for Duration Prediction in HMM based Speech Synthesis，Interspeech 2015，PP：2197-2201.，Sept.6-10,2015，Dresden,Germany. |
| 168.Linlin Chao, Jianhua Tao, Minghao Yang, Ya Li,Zhengqi Wen，Long Short Term Memory Recurrent Neural Network based Multimodal Dimensional Emotion Recognition，AVEC 2015，PP:65-72，Oct.26,2015，Brisbane,Australia. |
| 169.方硕,温正棋，陶建华，“基于统计参数语音合成的疑问语气生成方法”，ICPS 2015，Aug.12-19,2015. |
| 170.Wei Jiang, Shan Liang, Like Dong, Hong Yang, Wenju Liu and Yunji Wang, “CROSS-DOMAIN COOPERATIVE DEEP STACKING NETWORK FOR SPEECH SEPARATION,” in the Proceedings of ICASSP’2015 (2015 IEEE International Conference on Acoustics, Speech, and Signal Processing), April 19-24, 2015, Brisbane, Australia：pp.5083~5087. |
| 171.Hui Zhang, Xueliang Zhang, Shuai Nie, Guanglai Gao, Wenju Liu, “A PAIRWISE ALGORITHM FOR PITCH ESTIMATION AND SPEECH SEPARATION USING DEEP STACKING NETWORK,” in the Proceedings of ICASSP’2015 (2015 IEEE International Conference on Acoustics, Speech, and Signal Processing), April 19-24, 2015, Brisbane, Australia：pp.246~250. |
| 172.Hao Zheng, Zhanlei Yang, Liwei Qiao, Jianping Li, Wenju Liu,” Attribute Knowledge Integration for Speech Recognition Based on Multi-Task Learning Neural Networks,” in the Proceedings of InterSpeech2015, Sept. 6-10 2015, Dresden, Germany, 543-547. |
| 173.Hao Zheng, Shanshan Zhang, Wenju Liu, “Exploring Robustness of DNN/RNN for Extracting Speaker Baum-Welch Statistics in Mismatched Conditions,” in the Proceedings of InterSpeech2015, Sept. 6-10 2015, Dresden, Germany, 1161-1165. |
| 174.Shuai Nie, Shan Liang, Wei Xue, Xueliang Zhang, Wenju Liu, Like Dong, Hong Yang, “Two-Stage Multi-Target Joint Learning for Monaural Speech Separation,” in the Proceedings of InterSpeech2015, Sept. 6-10 2015, Dresden, Germany, 1503-1507. |
| 175.Shuai Nie, Wei Xue, Shan Liang, Xueliang Zhang, Wenju Liu, Liwei Qiao, Jianping Li, “Joint Optimization of Recurrent Networks Exploiting Source Auto-Regression for Source Separation,” in the Proceedings of InterSpeech2015, Sept. 6-10 2015, Dresden, Germany, 3307-3311. |
| 176.Jia Dai, Wenju Liu, Chongjia Ni, Like Dong, Hong Yang, "Multilingual Deep Neural Network for Music Genre Classification,” in the Proceedings of InterSpeech2015, Sept. 6-10 2015, Dresden, Germany, 2907-2911. |
| 177.Mingming Chen, Zhanlei Yang, Jizhong Liang, Yanpeng Li, Wenju Liu,” Improving Deep Neural Networks Based Multi-Accent Mandarin Speech Recognition Using I-Vectors and Accent-Specific Top Layer,” in the Proceedings of InterSpeech2015, Sept. 6-10 2015, Dresden, Germany, 3620-3624. |
| 178.Ying-Wei Tan, Wen-Ju Liu, Wei Jiang and Hao Zheng. "Integration of articulatory knowledge and voicing features based on DNN/HMM for Mandarin speech recognition,” in the Proceedings of IJCNN2015(2015 International Joint Conference on Neural Networks), July 12-17 2015, Killamey, Ireland. |
| 179.Wei Jiang, Hao Zheng, Shuai Nie, and Wenju Liu, "Multiscale collaborative speech denoising based on deep stacking network,” in the Proceedings of IJCNN2015(2015 International Joint Conference on Neural Networks), July 12-17 2015, Killamey, Ireland. |
| 180.Hao Zheng, Zhanlei Yang , Wenju Liu, Jizhong Liang and Yanpeng Li, " Improving Deep Neural Networks Using Softplus Units, ” in the Proceedings of IJCNN2015(2015 International Joint Conference on Neural Networks), July 12-17 2015, Killamey, Ireland. |
| 181.Jia Dai, Chongjia Ni, Wei Xue and Wenju Liu, “A Novel Codebook Representation Method and Encoding Strategy For Bag-of-Words Based Acoustic Event Classification,” in the Proceedings of APSIPA ASC （Asia-Pacific Signal and Information Processing Association annual conference ), Hong Kong , December 16-19, 2015. |
| 国内会议(National Conference) |
| 1.杨明浩, 高廷丽, 陶建华, 张大伟, 孙梦伊, 李昊, 巢林林，“人机对话中的意图及语音识别错误对交互体验的影响分析”，第十一届全国人机交互学术会议， PP:246-252，2015.09.11-13，辽宁，葫芦岛，最佳论文提名奖。 |
| 2.鲍薇，李雅，顾明亮，陶建华，王仁宇，邱远航，“基于特征融合的汉语疑问句语气识别”，第十一届全国人机交互学术会议，2015.09.11-13，辽宁，葫芦岛。 |
| 3.高廷丽，陶建华，杨明浩，张大伟，孙梦伊，“基于词向量模型的对话短文本意图分类方法”，十一届全国人机交互学术会议，2015.09.11-13，辽宁，葫芦岛。 |
| 4.Wei Tang, Yongzhen Huang and Liang Wang, “1000 fps Highly Accurate Eye Detection with Stacked Denoising Autoencoder,” Proc. Chinese Conference on Computer Vision, pp. 237-246, September 2015, Chengdu, China. |
| 5.Qi Zhang, Haiqing Li, Man Zhang, Zhaofeng He, Zhenan Sun and Tieniu Tan, Fusion of Face and Iris Biometrics on Mobile Devices Using Near-infrared Images, Proc. Chinese Conference on Biometric Recognition, pp. 569-578，November 2015, Tianjin, China. |