| 2014论文目录 |
| List of Publications |
| 专著 |
| 1.Ran He, Bao-Gang Hu, Xiaotong Yuan, Liang Wang, Robust Recognition via Information Theoretic Learning. Springer Briefs in Computer Science, Springer 2014, ISBN 978-3-319-07415-3. |
| 2.Jitao Sang.User-centric Social Multimedia Computing. Springer, 2014, XV, 108 p. |
| 专著与编著的章节 |
| 1.Zhenan Sun, Tieniu Tan: Iris Anti-spoofing. Handbook of Biometric Anti-Spoofing, Springer2014: 103-123, ISBN 978-1-4471-6524-8. |
| 2.Jun Zhao, Kang Liu, Guangyou Zhou, Xianpei Han, Zhenyu Qi, Yang Liu (2014). Knowledge Extraction from Wiki/Bbs/Blog/ News Websites. In Marie-Francine Moens, Juanzi Li, Tat-Seng Chua (Ed.), Mining of User Generated Content, Chapman and Hall/CRC.(Book Chapter), Chapter 6:170-207. |
| 国际刊物（International Journals） |
| 计算机视觉（Computer Vision） |
| 1.Yunqi Tang, Zhenan Sun and Tienu Tan, Slice Representation of Range Data for Head Pose Estimation, Computer Vision and Image Understanding, vol. 128, pp. 18-35, 2014. |
| 2.LingFeng Wang, HongPing Yan and Chunhong Pan, Cooperative fusion particle filter tracker. Science China Information Sciences. vol.57,082313:1-082313:14, 2014. |
| 3.Lingfeng Wang, Hongping Yan, Ke Lv, and Chunhong Pan, Visual Tracking Via Kernel Sparse Representation With Multikernel Fusion. IEEE Trans. Circuits Syst. Video Techn. vol.24, no.7, 1132-1141, 2014 |
| 4.Bin Fan, Qingqun Kong, Tomasz Trzcinski, Zhiheng Wang, Chunhong Pan, and Pascal Fua, Receptive Fields Selection for Binary Feature Description. IEEE Transaction on Image Processing, vol. 23, no. 6, pp. 2583-2595, 2014. |
| 5.Leigang Huo, Xiangchu Feng, Chunlei Huo, Zhixin Zhou, Chunhong Pan, Change Field: A New Change Measure for VHR Images. IEEE Geosci. Remote Sensing Lett. 11(10): 1812-1816 (2014). |
| 6.Xueyun Chen, Shiming Xiang, Cheng-Lin Liu, Chunhong Pan, Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks. IEEE Geosci. Remote Sensing Lett. 11(10): 1797-1801 2014. |
| 7.Jiangyong Duan, Gaofeng Meng, Shiming Xiang, Chunhong Pan,Multifocus image fusion via focus segmentation and region reconstruction. Neurocomputing 140: 193-209 ,2014. |
| 8.Weiming Hu, Nianhua Xie, Ruiguang Hu, Haibin Ling, Qiang Chen, Shuicheng Yan, and Stephen Maybank, Bin ratio-based histogram distances and their application to image classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 12, pp. 2338-2352, Dec. 2014. |
| 9.Weiming Hu, Ruiguang Hu, Nianhua Xie, Haibin Ling, and Stephen Maybank, Image classification using multi-scale information fusion based on saliency driven nonlinear diffusion filtering, IEEE Transactions on Image Processing, vol. 23, no. 4, pp. 1513-1526, 2014. |
| 10.Weiming Hu, Jun Gao, Yanguo Wang, Ou Wu, and Stephen Maybank, Online Adaboost-based parameterized methods for dynamic distributed network intrusion detection, IEEE Transactions on Cybernetics, vol. 44, no. 1, 2014, pp. 66-82. |
| 11.Haoran Wang, Chunfeng Yuan, Weiming Hu, Haibin Ling, Changyin Sun, and Wankou Yang, Action recognition using nonnegative action component representation and sparse basis selection, IEEE Transactions on Image Processing, vol. 23, no. 2, pp. 570-581, Feb. 2014. |
| 12.Xi Li, Weiming Hu, Chunhua Shen, Anthony Dick, Zhongfei Mark Zhang, Context-Aware Hypergraph Construction for Robust Spectral Clustering, IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 10, pp. 2588-2597, Oct. 2014 |
| 13.Xiaoqin Zhang, Changcheng Li, Weiming Hu, Xiaofeng Tong, Steve Maybank, and Yimin Zhang, Human pose estimation and tracking via parsing a tree structure based human model, IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 44, no. 5, pp. 580-592, May 2014. |
| 14.Luo Guan, Yang Shuang, Tian Guodong, Yuan Chunfeng, Hu Weiming and Stephen J. Maybank, Learning Human Actions by Combining Global Dynamics and Local Appearance, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume:36, Issue:12, Pages:2466-2482, 2014. |
| 15.Chunfeng Yuan, Xi Li, Weiming Hu, Haibin Ling, and Stephen Maybank, Modeling Geometric-Temporal Context with Directional Pyramid Co-Occurrence for Action Recognition, IEEE Transactions on Image Processing, Vol.23, No.2, pp.658-672,2014. |
| 16.Bing Li, Weihua Xiong, Weiming Hu and Brian Funt, Evaluating Combinational Illumination Estimation Methods on Real-World Images, IEEE Trans on Image Processing, Vol.23, No.3, pp.1194-1209,2014. |
| 17.Shuhan Shen, Zhanyi Hu. How to Select Good Neighboring Images in Depth-Map Merging Based 3D Modeling. IEEE Transactions on Image Processing, 23(1): 308-318, 2014. |
| 18.Kunfeng Shi, Qiulei Dong, Fuchao Wu. Euclidean Upgrading from Segment Lengths: DLT-Like Algorithm and Its Variants. Image and Vision Computing,32(2): 155-168, 2014 |
| 19.Qiang Zhang, Yan Wu, Fan Wang, Qiulei Dong, Licheng Jiao.Suboptimal Solutions to the Algebraic-Error Line Triangulation. Journal of Mathematical Imaging and Vision 49(3): 611-632, 2014. |
| 20.He Hao, Caiyan Lei, QiuLei Dong, Yalin Shen, Jianting Chi, Hechun Ye, Hong Wang. Effects of Exogenous Methyl Jasmonate on the Biosynthesis of Shikonin Derivatives in Callus Tissues of Arnebia euchroma. Applied Biochemistry and Biotechnology, Vol.173 (8), pp.2198-2210, 2014. |
| 21.Yihong Wu, Zhanyi Hu, and Youfu Li. Radial Distortion Invariants and Lens Evaluation under a Single-optical-axis Omnidirectional Camera. Computer Vision and Image Understanding, Vol.126, pp.11-27, 2014. |
| 22.Yancheng Bai and Ming Tang. Object Tracking via Robust Multitask Sparse Representation. IEEE Signal Processing Letters, 2014, Vol.21, No. 8, pp. 909-913 |
| 23.Yancheng Bai, Ming Tang. Robust visual tracking via augmented kernel SVM. Image and Vision Computing ,32, 465–475, 2014 |
| 图象/视频处理与分析（Image/Video Processing and Analysis） |
| 24.Zhenhua Chai, Heydi Méndez-Vázquez, Ran He, Zhenan Sun and Tieniu Tan, Explore semantic pixel sets based local patterns with information entropy for face recognition, EURASIP J. Image and Video Processing, vol. 26, no. 1, pp. 14-26, 2014. |
| 25.Zhenan Sun, Libin Wang and Tieniu Tan, Ordinal Feature Selection for Iris and Palmprint Recognition, IEEE Transactions on Image Processing, vol. 23, no. 9, pp. 3922-3934, 2014. |
| 26.Worapan Kusakunniran, Qiang Wu, Hongdong Li and Liang Wang, Recognizing Gaits Across Views Through Correlated Motion Co-Clustering, IEEE Transactions on Image Processing, vol. 23, no. 2,pp. 696-709, February 2014. |
| 27.Liang Wang and Chuan Li, Spectrum-Based Kernel Length Estimation for Gaussian Process Classification, IEEE Transactions on Cybernetics, vol. 44, no.6, pp. 805-816, June 2014. |
| 28.Shigeru Katagiri, Atsushi Nakamura, Tülay Adali, Jianhua Tao, Jan Larsen and Tieniu Tan, Guest Editorial: Machine Learning for Signal Processing, Signal Processing Systems, vol. 74, no. 3, pp. 281-283, 2014. |
| 29.Wei Fu, Jinqiao Wang, Liangke Gui, Hanqing Lu, Songde Ma, Online video synopsis of structured motion. Neurocomputing 135: 155-162, 2014. |
| 30.Min Xu, Jinqiao Wang, Xiangjian He, Jesse S. Jin, Suhuai Luo, Hanqing Lu, A three-level framework for affective content analysis and its case studies. Multimedia Tools Appl. 70(2): 757-779, 2014. |
| 31.Xiaobin Zhu, Jing Liu, Jinqiao Wang, Hanqing Lu: Key observation selection-based effective video synopsis for camera network. Mach. Vis. Appl. 25(1): 145-157, 2014. |
| 32.Xiaobin Zhu, Jing Liu, Jinqiao Wang, Changsheng Li, Hanqing Lu, Sparse representation for robust abnormality detection in crowded scenes. Pattern Recognition 47(5): 1791-1799, 2014. |
| 33.Jinqiao Wang, Min Xu, Xiangjian He, Hanqing Lu, Doan Hoang, A hybrid domain enhanced framework for video retargeting with spatial-temporal importance and 3D grid optimization. Signal Processing 94: 33-47, 2014. |
| 34.Jinqiao Wang, Wei Fu, Jingjing Liu, Hanqing Lu, Spatiotemporal Group Context for Pedestrian Counting. IEEE Trans. Circuits Syst. Video Techn. 24(9): 1620-1630, 2014. |
| 35.Jinqiao Wang, Wei Fu, Hanqing Lu, Songde Ma, Bilayer Sparse Topic Model for Scene Analysis in Imbalanced Surveillance Videos. IEEE Transactions on Image Processing 23(12): 5198-5208, 2014. |
| 36.Feiyun Zhu, Ying Wang, Bin Fan, Shiming Xiang, Gaofeng Meng and Chunhong Pan. Spectral Unmixing via Data-guided Sparsity, IEEE Trans. on Image Processing, vol. 23, no. 12, pp. 5412-5427. |
| 37.Lingfeng Wang, Huaiyu Wu, and Chunhong Pan. Fast Image Upsampling via the Displacement Field. IEEE Transactions on Image Processing, vol. 23, no. 12,5123-5135,2014 |
| 38.Lingfeng Wang and Chunhong Pan. Nonrigid medical image registration with locally linear reconstruction. Neurocomputing,145,303-315,2014 |
| 39.Lingfeng Wang and Chunhong Pan. Robust level set image segmentation via a local correntropy-based K-means clustering. Pattern Recognition, 47,1917-1925,2014 |
| 40.Tianzhu Zhang, Changsheng Xu, Cross-Domain Multi-Event Tracking via CO-PMHT, ACM Transactions on Multimedia Computing, Communications and Applications, Volume 10 Issue 4, Article No. 31, 2014 |
| 41.Quan Fang, Jitao Sang, and Changsheng Xu, Discovering Geo-informative Attributes for Location Recognition and Exploration, ACM Transactions on Multimedia Computing Communications and Applications, 2014, 11(1): Article No.: 19. |
| 42.Quan Fang, Jitao Sang, and Changsheng Xu, Topic-sensitive Influencer Mining in Interest-Based Social Media Networks via Hypergraph Learning, IEEE Transactions on Multimedia, 2014, 16(3): 796-812 |
| 43.Zhaoquan Yuan, Jitao Sang, Changsheng Xu, Yan Liu. A Unified Framework of Latent Feature Learning in Social Media, IEEE Transactions on Multimedia, 2014, 16(6): 1624-1635 |
| 44.Weiqing Min, Changsheng Xu, Min Xu, Xian Xiao, Bing-kun Bao, Mobile Landmark Search with 3D Models. IEEE Transactions Multimedia. 2014. 16(3): p. 623-636. |
| 45.Weiqing Min,Bing-Kun Bao, Changsheng Xu. Multi-modal Spatio-Temporal Theme Modeling for Landmark Analysis, IEEE Multimedia, 2014. 21(3): p. 20-29. |
| 46.Jing Wang, Ke Lu, Daru Pan, Ning He, Bing-Kun Bao: Robust object removal with an exemplar-based image inpainting approach. Neurocomputing 123: 150-155 (2014) |
| 47.Ning He, Ke Lu, Bing-Kun Bao, Lulu Zhang, Jin-Bao Wang: Single-image motion deblurring using an adaptive image prior. Inf. Sci. 281: 736-749 (2014) |
| 48.Chao Sun, Bing-Kun Bao, Changsheng Xu: Inductive hierarchical nonnegative graph embedding for "verb-object" image classification. Mach. Vis. Appl. 25(7): 1647-1659 (2014) |
| 49.L. Ying, TZ. Zhang and CS. Xu. Multi-object Tracking via MHT with Multiple information fusion in surveillance video, Multimedia Systems.March 2014:1-14 |
| 50.Longquan Dai, Mengke Yuan and Xiaopeng Zhang, Accelerate bilateral filter using Hermite polynomials, Electronics Letters, Vol. 50, No. 208, pp 1432-1434, 2014. |
| 51.Longquan Dai, Feihu Zhang, Xing Mei and Xiaopeng Zhang, Fast Minimax Path-Based Joint Depth Interpolation, IEEE Signal Processing Letters, 2014. Volume: 22, Issue: 5, 2015, Page(s): 623 - 627. |
| 52.Xun Sun, Xing Mei, Shaohui Jiao, Mingcai Zhou, Zhihua Liu and Haitao Wang. Real-Time Local Stereo via Edge-Aware Disparity Propagation, Pattern Recognition Letters, 49(1), pages 201-206, 2014. |
| 模式识别（Pattern Recognition） |
| 53.Ran He, Wei-Shi Zheng,Tieniu Tan and Zhenan Sun, Half-quadratic based Iterative Minimization for Robust Sparse Representation, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 36, no. 2, pp. 261-275, 2014. |
| 54.Ran He, Tieniu Tan and Liang Wang, Robust Recovery of Corrupted Low-RankMatrix by Implicit Regularizers, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 36, no. 4, pp. 770-783, 2014. |
| 55.Zhenan Sun, Hui Zhang, Tieniu Tan and Jianyu Wang, Iris Image Classification Based on Hierarchical Visual Codebook, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI) , vol. 36, no. 6, pp. 1120-1133, 2014. |
| 56.Jing Liu, Zhenan Sun and Tieniu Tan, Distance Metric Learning for Recognizing Low-Resolution Iris Images, Neurocomputing, vol.144, pp. 484-492, 2014. |
| 57.Yongzhen Huang, Zifeng Wu, Liang Wang and Tieniu Tan, Feature Coding in Image Classification: A Comprehensive Study, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 36, no. 3, pp. 493-506, 2014. |
| 58.Yongzhen Huang, Zifeng Wu, Liang Wang and Chunfeng Song, Multiple Spatial Pooling for Visual Object Recognition, Neurocomputing, vol.129, pp. 225-231, April 2014. |
| 59.Feng Liu, Yongzhen Huang, Liang Wang, Wankou Yang and Changyin Sun, Spatial Modeling Via Feature Co-pooling and SG Grafting, Neurocomputing, vol. 139,pp. 415-422, September 2014. |
| 60.Jingyu Liu, Yongzhen Huang, Liang Wang and Shu Wu, Hierarchical Feature Coding for Image Classification, Neurocomputing, vol. 144, pp. 509-515, November 2014. |
| 61.Zhen Zhou, Li Zhong and Liang Wang, Locally Incremental Visual Cluster Analysis Using Markov Random Field, Neurocomputing, vol. 136, pp. 49-55, July 2014. |
| 62.Xiaotang Chen, Kaiqi Huang and Tieniu Tan, Object tracking across non-overlapping views by learning inter-camera transfer models, Pattern Recognition, vol. 47, no. 3, pp. 1126-1137, 2014. |
| 63.Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu, Unsupervised language model adaptation for handwritten Chinese text recognition, Pattern Recognition, 47(3): 1202-1216, 2014. |
| 64.Adrien Delaye, Cheng-Lin Liu, Contextual text/non-text stroke classification in online handwritten notes with conditional random fields, Pattern Recognition, 47(3): 959-968, 2014. |
| 65.Xiang-Dong Zhou, Yan-Ming Zhang, Feng Tian, Hong-An Wang, Cheng-Lin Liu, Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition, Pattern Recognition, 47(5): 1880-1890, 2014. |
| 66.Heng Zhang, Da-Han Wang, Cheng-Lin Liu, Character confidence based on N-Best list for keyword spotting in online Chinese handwritten documents, Pattern Recognition, 47(5): 1904-1916, 2014. |
| 67.Bo Xu, Kaizhu Huang, Irwing King, Cheng-Lin Liu, Jun Sun, Satoshi Naoi, Graphical Lasso quadratic discriminant function and its application to character recognition, Neurocomputing, 129: 33-40, 2014. |
| 68.Liang Xu, Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu, An over-segmentation method for single-touching Chinese handwriting with learning based filtering, Int. J. Document Analysis and Recognition, 17(1): 91-104, 2014. |
| 69.Xueyun Chen, Shiming Xiang, Cheng-Lin Liu, Chunhong Pan, Vehicle detection in satellite images by hybrid deep convolutional neural networks, IEEE Geoscience and Remote Sensing Letters, 11(10): 1797-1801, 2014. |
| 70.Da-Han Wang, Cheng-Lin Liu, Learning confidence transformation for handwritten Chinese text recognition, Int. J. Document Analysis and Recognition, 17(3): 205-219, 2014. |
| 71.Yan-Ming Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu, Learning locality preserving graph from data, IEEE Trans. SMC Part B, 44(11): 2088-2098, 2014. |
| 72.Adrien Delaye, Cheng-Lin Liu, Multi-class segmentation of free-form online documents with tree conditional random fields, Int. J. Document Analysis and Recognition, 17: 313-329, 2014. |
| 73.Xu-Yao Zhang, Peipei Yang, Yan-Ming Zhang, Kaizhu Huang, Cheng-Lin Liu, Combination of clustering and classification results with label propagation, IEEE Signal Processing Letters, 21(5): 610-614, 2014. |
| 74.Biao Niu, Jian Cheng, Yang Liu, Hanqing Lu: Beyond semantic attributes: Auxiliary feature discovery for image classification. Neurocomputing 142: 155-164 , 2014. |
| 75.Bingyuan Liu, Jing Liu, Hanqing Lu, Adaptive spatial partition learning for image classification. Neurocomputing, 142: 282-290 , 2014. |
| 76.Yu Jiang, Jing Liu, Zechao Li, Hanqing Lu: Semi-supervised Unified Latent Factor learning with multi-view data. Mach. Vis. Appl. 25(7): 1635-1645 , 2014. |
| 77.Zechao Li, Jing Liu, Yi Yang, Xiaofang Zhou, Hanqing Lu: Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection. IEEE Trans. Knowl. Data Eng. 26(9): 2138-2150, 2014. |
| 78.Jiaxiang Wu and Jian Cheng: Bayesian Co-Boosting for Multi-modal Gesture Recognition. Journal of Machine Learning Research. Volume 15 Issue 1, January 2014 Issue-in-Progress |
| 79.Yong Li, Jing Liu, Hanqing Lu, Songde Ma: Learning Robust Face Representation with Classwise Block-Diagonal Structure. IEEE Transactions On Information Forensics And Security (TIFS). Volume: 9 , Issue: 12, 2014 , Page(s): 2051 – 2062 |
| 80.Cuicui Kang, Shengcai Liao, Shiming Xiang, and Chunhong Pan, "Kernel Sparse Representation With Pixel-level and Region-level Image Feature Kernels For Face Recognition", Neurocomputing, volume 133, pages 141-152, 2014. SCI. |
| 81.Feiyun Zhu, Ying Wang, Shiming Xiang, Bin Fan, Chunhong Pan: Structured Sparse Method for Hyperspectral Unmixing. ISPRS Journal of Photogrammetry and Remote Sensing, vol.88, no.1 pp. 101-118, 2014. |
| 82.Xiaowan Zhang and Bao-Gang Hu, A New Strategy of Cost-Free Learning in the Class Imbalance Problem, IEEE Transactions on Knowledge and Data Engineering, Vol. 26, pp. 2872-2885, 2014. |
| 83.Zhi-Yong Ran and Bao-Gang Hu, Determining parameter identifiability from the optimization theory framework: A Kullback–Leibler divergence approach, Neurocomputing, Vol. 142, pp. 307-317, 2014. |
| 84.Bao-Gang Hu, What are the Differences between Bayesian Classifiers and Mutual-Information Classifiers?, IEEE Transactions on Neural Networks and Learning Systems. Vol. 25, pp. 249-264, 2014. |
| 85.Wei Wang, Bao-Gang Hu, and Zeng-Fu Wang, “Globality and Locality Incorporation in Distance Metric Learning”, Neurocomputing, Vol. 129, pp. 185-198, 2014. |
| 86.Zhi-Yong Ran and Bao-Gang Hu, “Determining Structural Identifiability of Learning Machines”, Neurocomputing, Vol. 127, pp. 88-97, 2014. |
| 计算机图形学（Computer Graphics） |
| 87.Fuzhang Wu, Dong-Ming Yan, Weiming Dong, Xiaopeng Zhang, Peter Wonka, Inverse Procedural Modeling of Facade Layouts, ACM Transactions on Graphics(ACM Siggraph), Vol. 33, No. 4, pp. 121:1-121:10, 2014, 2014. |
| 88.Weiming Dong, Ning Zhou, Tong-Yee Lee, Fuzhang Wu, Yan Kong, Xiaopeng Zhang, Summarization-Based Image Resizing by Intelligent Object Carving, IEEE Transactions on Visualization and Computer Graphics, Vol. 20, No.1, pp. 111-124 (2014). |
| 89.Xiaopeng Zhang, Hongjun Li, Mingrui Dai, Wei Ma, Long Quan, Data-driven Synthetic Modeling of Trees, IEEE Transactions on Visualization and Computer Graphics, Vol. 20, No.9, pp. 1214 - 1226, 2014. |
| 90.Dong-Ming Yan, Guanbo Bao, Xiaopeng Zhang, Peter Wonka, Low-Resolution Remeshing using the Localized Restricted Voronoi Diagram, IEEE Transactions on Visualization and Computer Graphics, Vol. 20, No.10, pp. 1418 - 1427, 2014. |
| 91.Dong-Ming Yan, Johannes Wallner, Peter Wonka: Unbiased Sampling and Meshing of Isosurfaces. IEEE Transactions on Visualization and Computer Graphics, Vol. 20, No.11, pp. 1579-1589, 2014. |
| 92.Dong-Ming Yan, Jianwei Guo, Xiaopeng Zhang, Peter Wonka, Blue-Noise Remeshing with Farthest Point Optimization, Computer Graphics Forum (Proc. EG SGP), Vol. 33, No.5, pp. 167-176, 2014. |
| 93.Jianwei Guo, Dong-Ming Yan, Guanbo Bao, Weiming Dong, Xiaopeng Zhang, Peter Wonka, Efficient Triangulation of Poisson-disk Sampled Point Sets, The Visual Computer (Special Issue of CGI 2013), Vol. 30, No. 6-8, pp 773-785, 2014. SCI. |
| 94.Dengwen Zhou, Weiming Dong, Wengang Chen. Joint demosaicking and zooming using moderate spectral correlation and consistent edge map. Journal of Electronic Imaging 23(4): 034310 (2014) |
| 95.Xiaojuan Ning, Yinghui Wang, Xiaopeng Zhang, Hierarchical Model Generation for Architecture Reconstruction using Laser Scanned Point Cloud Data, Optical Engineering, 53(6), 061612 (Jan 20, 2014). SCI. |
| 多媒体计算（Multimedia Computing） |
| 96.Jian Cheng, Cong Leng, Peng Li, Meng Wang, Hanqing Lu: Semi-supervised multi-graph hashing for scalable similarity search. Computer Vision and Image Understanding 124: 12-21, 2014. |
| 97.Zechao Li, Jing Liu, Jinhui Tang, Hanqing Lu: Projective Matrix Factorization with unified embedding for social image tagging. Computer Vision and Image Understanding 124: 71-78, 2014. |
| 98.Jing Liu, Zechao Li, Hanqing Lu: Sparse semantic metric learning for image retrieval. Multimedia Syst. 20(6): 635-643, 2014. |
| 99.Jinqiao Wang, Bo Wang, Ling-Yu Duan, Qi Tian, Hanqing Lu: Interactive ads recommendation with contextual search on product topic space. Multimedia Tools Appl. 70(2): 799-820, 2014. |
| 100.Jing Liu, Zechao Li, Jinhui Tang, Yu Jiang, Hanqing Lu: Personalized Geo-Specific Tag Recommendation for Photos on Social Websites. IEEE Transactions on Multimedia 16(3): 588-600, 2014. |
| 101.Ting Yuan, Jian Cheng, Xi Zhang, Qinshan Liu, and Hanqing Lu: Enriching One Class Collaborative Filtering with Content Information from Social Media. Multimedia System Journal(MMSJ). Online ISSN 1432-1882, 25 June 2014 |
| 生物特征信息处理（Biometric Information Processing） |
| 102.Zhenhua Chai, Zhenan Sun, Heydi Méndez-Vázquez, Ran He and Tieniu Tan, Gabor Ordinal Measures for Face Recognition, IEEE Trans. on Information Forensics and Security, vol. 9, no. 1, pp. 14-26, 2014. |
| 103.Wei Wang, Jing Dong and Tieniu Tan, Exploring DCT Coefficient Quantization Effects for Local Tampering Detection, IEEE Transactions on Information Forensics and Security, vol. 9, no. 10, pp.1653-1666, October 2014. |
| 104.Michele Nappi, Vincenzo Piuri, Tieniu Tan and David Zhang, Introduction to the Special Section on Biometric Systems and Applications, IEEE Trans. on Systems, Man and Cybernetics, Systems, vol. 44, No. 11, pp. 1457-1460, 2014. |
| 105.Longyin Wen, Zhaowei Cai, Zhen Lei, Dong Yi, Stan Z. Li. Robust Online Learned Spatio-Temporal Context Model for Visual Tracking. IEEE Transaction on Image Processing, 23(2): p. 785-796, 2014. |
| 106.Junjie Yan, Xucong Zhang, Zhen Lei, Stan Z. Li, Face Detection by Structural Models, Image and Vision Computing, 32(10): p. 790-799, 2014. |
| 107.Zhen Lei, Matti Pietikainen, Stan Z. Li. Learning Discriminant Face Descriptor, IEEE Transaction on Pattern Analysis and Machine Intelligence, 36(2): p. 289-302, 2014. |
| 108.Jun-Yong Zhu, Wei-Shi Zheng, Jian-Huang Lai, Stan Z. Li. Matching NIR Face to VIS Face Using Transduction, IEEE Transactions on Information Forensics and Security, 9(3):p.501-514, 2014. |
| 109.Zhaowei Cai, Longyin Wen, Zhen Lei, Nuno Vasconcelos, Stan Z. Li. Robust Deformable and Occluded Object Tracking With Dynamic Graph, IEEE Transaction on Image Processing, 23(12):p.5497-5509, 2014. |
| 医学图像分析(Medical Image Analysis) |
| 110.Cheng H, Wu H, Fan Y. Optimizing affinity measures for parcellating brain structures based on resting state fMRI data: a validation on medial superior frontal cortex. Journal of neuroscience methods Nov 30 2014;237:90-102. |
| 111.Cheng J, Deriche R, Jiang T, Shen D, Yap PT. Non-Negative Spherical Deconvolution (NNSD) for estimation of fiber Orientation Distribution Function in single-/multi-shell diffusion MRI. Neuroimage Nov 1 2014;101:750-764. |
| 112.Fan L, Wang J, Zhang Y, Han W, Yu C, Jiang T. Connectivity-based parcellation of the human temporal pole using diffusion tensor imaging. Cereb Cortex Dec 2014;24(12):3365-3378. |
| 113.Fu L, Liu L, Zhang J, Xu B, Fan Y, Tian J. Comparison of dual-biomarker PIB-PET and dual-tracer PET in AD diagnosis. European radiology Nov 2014;24(11):2800-2809. |
| 114.Hao Y, Wang T, Zhang X, Duan Y, Yu C, Jiang T, Fan Y, Alzheimer's Disease Neuroimaging I. Local label learning (LLL) for subcortical structure segmentation: application to hippocampus segmentation. Hum Brain Mapp Jun 2014;35(6):2674-2697. |
| 115.He X, Qin W, Liu Y, et al. Abnormal salience network in normal aging and in amnestic mild cognitive impairment and Alzheimer's disease. Hum Brain Mapp Jul 2014;35(7):3446-3464. |
| 116.Jiang T. Brainnetome and related projects. Science China Life sciences Apr 2014;57(4):462-466. |
| 117.Li Y, Qiu C, Tu J, Geng B, Yang J, Jiang T, Cui Q. HMDD v2.0: a database for experimentally supported human microRNA and disease associations. Nucleic acids research Jan 1 2014;42(1):D1070-1074. |
| 118.Liu B, Zhang X, Hou B, Li J, Qiu C, Qin W, Yu C, Jiang T. The impact of MIR137 on dorsolateral prefrontal-hippocampal functional connectivity in healthy subjects. Neuropsychopharmacology Aug 2014;39(9):2153-2160. |
| 119.Liu Y, Yu C, Zhang X, et al. Impaired long distance functional connectivity and weighted network architecture in Alzheimer's disease. Cereb Cortex Jun 2014;24(6):1422-1435. |
| 120.Long H, Liu B, Hou B, Wang C, Kendrick K, Yu C, Jiang T, A potential ethnic difference in the association between 5-HTTLPR polymorphisms and the brain default mode network. Chinese Science Bulletin May 2014; 59 (13): 1355-1361. |
| 121.Plis SM, Sui J, Lane T, et al. High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia. Neuroimage Nov 15 2014;102 Pt 1:35-48. |
| 122.Sui J, Huster R, Yu Q, Segall JM, Calhoun VD. Function-structure associations of the brain: Evidence from multimodal connectivity and covariance studies. Neuroimage. 2014, 102P1:11-23. |
| 123.Wang C, Zhang Y, Liu B, Long H, Yu C, Jiang T. Dosage effects of BDNF Val66Met polymorphism on cortical surface area and functional connectivity. J Neurosci Feb 12 2014;34(7):2645-2651. |
| 124.Wang D, Qin W, Liu Y, Zhang Y, Jiang T, Yu C. Altered resting-state network connectivity in congenital blind. Hum Brain Mapp Jun 2014;35(6):2573-2581. |
| 125.Wang J, Qin W, Liu B, Zhou Y, Wang D, Zhang Y, Jiang T, Yu C. Neural mechanisms of oxytocin receptor gene mediating anxiety-related temperament. Brain structure & function Sep 2014;219(5):1543-1554. |
| 126.Wu T, Ge S, Zhang R, Liu H, Chen Q, Zhao R, Yin Y, Lv X, Jiang T. Neuromagnetic coherence of epileptic activity: an MEG study. Seizure. 2014 Jun;23(6):417-423. |
| 127.Yao H, Zhou B, Zhang Z, Wang P, Guo Y, Shang Y, Wang L, Zhang X, An N, Liu Y. Longitudinal alteration of amygdalar functional connectivity in mild cognitive impairment subjects revealed by resting-state FMRI. Brain Connect. 2014; 4:361-370. |
| 128.Zhang N, Li C, Jiang T. An improved OPDT model in high angular resolution diffusion imaging. J Math Imaging Vis 2013/01/01 2014;48(3):385-395. |
| 129.Zhang X, Lei X, Wu T, Jiang T. A review of EEG and MEG for brainnetome research. Cogn Neurodyn. 2014 Apr;8(2):87-98. |
| 130.Zhang Y, Fan L, Zhang Y, Wang J, Zhu M, Zhang Y, Yu C, Jiang T. Connectivity-based parcellation of the human posteromedial cortex. Cereb Cortex Mar 2014;24(3):719-727. |
| 131.Zhang Y, Su TP, Liu B, et al. Disrupted thalamo-cortical connectivity in schizophrenia: a morphometric correlation analysis. Schizophr Res Mar 2014;153(1-3):129-135. |
| 132.Zhang Y, Zhang J, Xu J, Wu X, Zhang Y, Feng H, Wang J, Jiang T. Cortical gyrification reductions and subcortical atrophy in Parkinson's disease. Movement disorders, 2014;29(1):122-126. |
| 133.Zhang Z, Liu Y, Zhou B, et al. Altered functional connectivity of the marginal division in Alzheimer's disease. Curr Alzheimer Res Feb 2014;11(2):145-155. |
| 134.Zhou Y, Li S, Dunn J, et al. The neural correlates of risk propensity in males and females using resting-state fMRI. Frontiers in Behavioral Neuroscience 2014;8(2). |
| 135.Zhou Y, Wang Z, Zuo XN, Zhang H, Wang Y, Jiang T, Liu Z., Hyper-coupling between working memory task-evoked activations and amplitude of spontaneous fluctuations in first-episode schizophrenia. Schizophr Res. 2014 Oct;159(1):80-89. |
| 语音语言技术（Speech and Language Technology） |
| 136.Guangyou Zhou, Jun Zhao, Tingting He, and Wensheng Wu. An empirical study of topic-sensitive probabilistic model for expert finding in question answer communities. Knowledge-Based Systems (KBS), 66: 136-145, 2014. |
| 137.Zhengqi Wen,Jianhua Tao,Shifeng Pan,Yang Wang, Pitch-Scaled Spectrum Based Excitation Model for HMM-based Speech Synthesis，Journal of Signal Processing Systems，March 2014,Volume 74,Issue 3,PP：423-435. |
| 138.Pengfei Hu, Wenju Liu, Wei Jiang and Zhanlei Yang，Latent topic model for audio retrieval, Pattern Recognition Vol.47, Issue.3, pp.1138~1143，March, 2014. |
| 139.Shan Liang, Wenju Liu*, Wei Jiang and Wei Xue,The analysis of the simplification from the ideal ratio to binary mask in signal-to-noise ratio sense.Speech Communication, 59:22-30, 2014. |
| 国内刊物（National Journals） |
| 计算机视觉（Computer Vision） |
| 1.孔庆群，王波，胡占义，加权视差能量模型，自动化学报，Vol.40,No.2,pp.227-235, 2014. |
| 2.王波，孙凤梅，再论一维摄像机标定，计算机辅助设计与图形学学报，Vol.26, No.3, pp.452-456, 2014. |
| 3.王伟，高伟， 胡占义，基于语义约束与Graph Cuts 的稠密三维场景重建，中国科学：信息科学Vol .44, No.6, pp.774-792, 2014 |
| 4.傅康平，申抒含，胡占义，一种基于多视立体视觉的多视图直线匹配方法, 自动化学报, Vol.40，No.8 ，pp1680-1689，2014. |
| 5.谢远帆，吴毅红，范力欣. 含有平面结构的场景的捆绑调整，自动化学报Vol.40 ，No.8 ，pp1601-1611，2014. |
| 模式识别（Pattern Recognition） |
| 6.唐云祁, 孙哲南,谭铁牛, 头部姿势估计综述, 模式识别与人工智能, vol. 27, no. 3, pp. 213-225, 2014. |
| 7.邱泽宇，方全，桑基韬，徐常胜. 基于区域上下文感知的图像标注. 计算机学. 2014.37(6):p:1390-1397 |
| 计算机图形学（Computer Graphics） |
| 8.马燕, 张晓鹏, 王小春, 董未名, 李红军，细节增强的水墨扩散模拟，计算机辅助设计与图形学学报, 2014, 26(3): 429-435 |
| 9.王颢星，孟维亮，张晓鹏。基于二阶平滑先验的图像保边平滑快速算法。高技术通讯，第24卷，第7期，732－738，2014 |
| 计算机应用(Computer Application) |
| 10.黄凯奇, 任伟强,谭铁牛, 图像物体分类与检测算法综述, 计算机学报, vol. 37, no. 6, pp. 1225-1240, 2014. |
| 语音语言技术（Speech and Language Technology） |
| 11.加羊吉，李亚超，宗成庆，于洪志，最大熵和条件随机场模型相融合的藏文人名识别，中文信息学报，2014年1月，第28卷第1期，第107-112页. |
| 12.张大伟，杨明浩，陶建华，面向X光发音视频的舌位轮廓自动提取方法，计算机辅助设计与图形学学报，Apr.2014,Vol.26,No.4,pp.528-536. |
| 13.杨明浩、陶建华、李昊、巢林林，面向自然人机交互的多通道人机对话系统，计算机科学，Oct.2014, Vol.41,No10，pp 12-18. |
| 国际会议（International Conferences） |
| 计算机视觉(Computer Vision) |
| 1.Chong Wang, Weiqiang Ren, Kaiqi Huang and Tieniu Tan, Weakly Supervised Object Localization with Latent Category Learning, Proc. European Conference on Computer Vision, pp. 431-445, September 2014, Zurich, Switzerland. |
| 2.Yanhu Shan, Zhang Zhang, Kaiqi Huang, Learning Skeleton Stream Patterns with Slow Feature Analysis for Action Recognition, Proc. Europe Conference on Computer Vision Workshops, September 2014, Zurich, Switzerland. |
| 3.Kangwei Liu, Junge Zhang, Kaiqi Huang and Tieniu Tan, Deformable Object Matching via Deformation Decomposition based 2D Label MRF, Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 2321 - 2328, June 2014, Columbus, America. |
| 4.Zairan Wang, Jing Dong, Wei Wang and Tieniu Tan, Effects of Fragile and Semi-Fragile Watermarking on Iris Recognition Systems, Proc. International Workshop on Digital-forensics and Watermarking, October 2014, Taipei, Taiwan. |
| 5.Haichang Li, Jiangyong Duan, Shiming Xiang, Lingfeng Wang, Chunhong PAN, Local Label Probability Propagation for Hyperspectral Image Classification, IEEE International Conference on Pattern Recognition(ICPR), Stockholm, Sweeden, accepted, 2014. |
| 6.Hongfei Xiao, Gaofeng Meng, Lingfeng Wang, Shiming Xiang and Chunhong Pan. Facade Repetition Extraction Using Block Matrix Based Model. IEEE International Conference on Image Processing. Paris, France, 2014. |
| 7.Hongfei Xiao, Lingfeng Wang, Gaofeng Meng, Shiming Xiang and Chunhong Pan. Facade Labeling via Explicit Matrix Factorization. International Conference on Image and Signal Processing. Cherbourg, France, pp. 468-476, 2014. |
| 8.Gaofeng Meng, Ying WANG, Shenquan QU, Shiming XIANG, Chunhong PAN, Active Flattening of Curved Document Images via Two Structured Beams, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, June 17-19, 2014, pp. 3890‐3897 |
| 9.Song Zhao, Lingfeng Wang, Wei Sui, Huai-yu Wu and Chunhong Pan. 3D Object Tracking Via Boundary Constrained Region-Based Model. International Conference on Image Processing (ICIP) 2014. |
| 10.Qiang You, Weiming Hu, Ou Wu and Haiqiang Zuo, A Unified Fusion Framework for Time-Related Rank in Threaded Discussion Communities, International Conference of PAKDD 2014 Workshops for Social Networks. LNAI 8643, pp. 513-524, 2014. |
| 11.Baoxin Wu, Chunfeng Yuan and Weiming Hu, “Human Action Recognition Based on Context-Dependent Graph Kernels”, IEEE Conference on Computer Vision and Pattern Recognition. pp. 2609-2616, 2014. |
| 12.Baoxin Wu, Shuang Yang and Chunfeng Yuan, “Action Recognition Based on Oriented Motion Salient Regions”, Asian Conference on Computer Vision Workshop. 2014. |
| 13.Shi Xinchu, Ling Haibin, Hu Weiming, Yuan Chunfeng and Xing Junliang, “Multi-target Tracking with Motion Context in Tensor Power Iteration”, IEEE International Conference on Computer Vision and Pattern Recognition, pp 3518-3525, 2014. |
| 14.Shuang Yang, Chunfeng Yuan, Weiming Hu and Xinmiao Ding, “ A Hierarchical Model Based on Latent Dirichlet Allocation for Action Recognition”, IEEE International Conference on Pattern Recognition, pp.2613-2618, 2014. |
| 15.Jin Gao, Haibin Ling, Weiming Hu and Junliang Xing, “Transfer Learning Based Visual Tracking with Gaussian Processes Regression”, European Conference on Computer Vision. Pp.188-203, 2014. |
| 16.Peng Houwen, Li Bing and Hu Weiming, “RGBD salient object detection: a benchmark and algorithms”, European Conference on Computer Vision, pp.92-109, 2014. |
| 17.Xue Mao, Ou Wu, Weiming Hu, and Peter O’Donovan, “Nonlinear Classification via Linear SVMs and Multi-Task Learning”, ACM International Conference on Information and Knowledge Management, pp.1955-1958, 2014. |
| 18.Xin Ji, Ou Wu, Chenlong Wang and Jinfeng Yang, “Visual Feature-based Violent Video Detection”, IEEE International Conference on Cloud Computing and Intelligence Systems, pp.577-580, 2014. |
| 19.Wu Ou, Ruiguang Hu, Mao Xue and Hu Weiming Hu, “Quality-based Learning for Web Data Classification”, AAAI Conference on Artificial Intelligence, pp. 194-200, 2014. |
| 20.Junliang Xing, Zhiheng Niu, Junshi Huang, Weiming Hu and Shuicheng Yan, “Towards Multi-view and Partially-occluded Face Alignment”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.1829-1836,2014. |
| 21.Zhenhua Wang, Bin Fan, and Fuchao Wu. Affine Subspace Representation for Feature Description. In Proceedings of The 13th European Conference on Computer Vision (ECCV'2014). Part VII, LNCS 8695, pp. 94–108, Sep. 6-12, 2014. Zurich, Switzerland |
| 22.Hainan Cui, Shuhan Shen, Wei Gao, Zhanyi Hu. Fusion of Auxiliary Imaging Information for Robust, Scalable and Fast 3D Reconstruction, The 12th Asian Conference on Computer Vision . (ACCV2014), 1-5 Nov. 2014,Singapore (EI) |
| 23.Juan Lei, Zhenhua Wang, Yihong Wu, Lixin Fan. Efficient pose tracking on mobile phones with 3D points grouping. IEEE International Conference on Multimedia and Expo(ICME2014), pp.689-695, July14-18 ，2014. Chengdu,China |
| 24.Yuanfan Xie, Yihong Wu. A Structure-Aware Visual SLAM System. The 11th World Congress on Intelligent Control and Automation（WCICA2014）, pp.1395-1403, June 29 - July 4 ，2014，Shenyang, China |
| 25.Yi Yang, Hengliang Luo, Huarong Xu, Fuchao Wu. Towards real-time traffic sign detection and classification. The 17th International IEEE Conference on Intelligent Transportation Systems,（ITSC2014）pp.87-92，8-11 Oct. 2014,Qingdao, China |
| 26.Han Wang, Yancheng Bai, Ming Tang. Robust Maximum Margin Correlation Tracking. |
| 27.The 12th Asian Conference on Computer Vision workshop on scene understanding for automonous systems( ACCVW2014 ), 1-5 Nov. 2014, Singapore |
| 28.Youji Feng, Yihong Wu, and Lixin Fan. Online Learning of Binary Feature Indexing for Realtime SLAM Relocalization. The 12th Asian Conference on Computer Vision Workshops (ACCVW2014), 1-5 Nov. 2014, Singapore |
| 模式识别（Pattern Recognition） |
| 29.Pengcheng Liu, eipei Yang, Kaiqi Huang, Tieniu Tan and Hongwei Hao, “Semi-Supervised Learning for Cross-Device Visual Location Recognition,” Proc. International Conference on Pattern Recognition, pp.2873-2878, August 2014, Stockholm, Sweden. |
| 30.Chong Wang, Junge Zhang, PeiPei Yang, Kaiqi Huang, “Robust Object Recognition vis Visual Pathway Feedback,” Proc. International Conference on Pattern Recognition, pp.604-607, August 2014, Stockholm, Sweden. |
| 31.Yanhua Cheng, Xin Zhao, Kaiqi Huang, “Semi-supervised Learning for RGB-D Object Recognition,” Proc. International Conference on Pattern Recognition, pp. 2377-2382, August 2014, Stockholm, Sweden. |
| 32.Kangwei Liu, Junge Zhang, Kaiqi Huang, “Improved Optimization Based on Graph Cuts for Discrete Energy Minimization,” Proc. International Conference on Pattern Recognition, pp.2424-2429, August 2014, Stockholm, Sweden. |
| 33.Weiqiang Ren, Yinan Yu, Junge Zhang, Kaiqi Huang, “Learning Convolutional NonLinear Features for K Nearest Neighbor Image Classification,” Proc. International Conference on Pattern Recognition, pp.2938-2943, August 2014, Stockholm, Sweden. |
| 34.Wei Wang, Yan Huang, Yizhou Wang and Liang Wang, “Generalized Autoencoder: A Neural Network Framework for Dimensionality Reduction,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition Workshops, pp. 496-503, June 2014, Columbus, USA. |
| 35.Peihao Huang, Yan Huang, Wei Wang and Liang Wang, “Deep Embedding Network for Clustering,” Proc. International Conference on Pattern Recognition, pp. 1532-1537, August 2014, Stockholm, Sweden. |
| 36.Yan Huang, Wei Wang, Liang Wang and Tieniu Tan, “A General Nonlinear Embedding Framework Based on Deep Neural Network,” Proc. International Conference on Pattern Recognition, pp. 732-737, August 2014, Stockholm, Sweden. |
| 37.Zifeng Wu, Yongzhen Huang, Liang Wang and Tieniu Tan, “Early Hierarchical Contexts Learned by Convolutional Networks for Image Segmentation,” Proc. International Conference on Pattern Recognition, pp. 1538-1543, August 2014, Stockholm, Sweden. |
| 38.Baoxing Wang, Qiyue Yin, Shu Wu and Liang Wang, “Discriminative Representative Selection via Structure Sparsity,” Proc. International Conference on Pattern Recognition, pp. 1401-1406, August 2014, Stockholm, Sweden. |
| 39.Di Miao, Zhenan Sun and Yongzhen Huang, “Fusion of Multibiometrics Based on A New Robust Linear Programming,” Proc. International Conference on Pattern Recognition, pp. 291-296, August 2014, Stockholm, Sweden. |
| 40.Man Zhang, Jing Liu, Zhenan Sun, et al, “The First ICB Competition on Iris Recognition,” Proc. International Joint Conference on Biometrics, Sep 29- Oct 2 2014, Florida USA. |
| 41.Chi Zhang, Guangqi Hou, Zhenan Sun and Tieniu Tan, “Efficient Auto-Refocusing of Iris Images for Light-Filed Cameras,” Proc. International Joint Conference on Biometrics, Sep 29- Oct 2 2014, Florida USA. |
| 42.Jie Gui, Zhenan Sun, Guangqi Hou and Tieniu Tan, “An Optimal Set of Code Words and Correntropy for Rotated Least Squares Regression,” Proc. International Joint Conference on Biometrics, Sep 29- Oct 2 2014, Florida USA. |
| 43.Bo Bai, Fei Yin, Cheng-Lin Liu, A seed-based segmentation method for scene text extraction, Proc. 11th IAPR Workshop on DAS, Tours, France, 2014, pp.262-266. |
| 44.Guo-Sen Xie, Xu-Yao Zhang, Yan-Ming Zhang and Cheng-Lin Liu, Integrating supervised subspace criteria with restricted Boltzmann machine for feature extraction, Proc. 2014 IJCNN, Beijing, pp.1622-1629. |
| 45.Ming-Ke Zhou, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu, Improving handwritten Chinese character recognition with discriminative quadratic feature extraction, Proc. 22nd ICPR, Stockholm, 2014, pp.244-249. |
| 46.Yi-Chao Wu, Fei Yin, Cheng-Lin Liu, Evaluation of geometric context models for handwritten numeral string recognition, Proc. 14th ICFHR, Crete Island, Greece, 2014, pp.193-198. |
| 47.Bo-Yuan Feng, Mingwu Ren, Xu-Yao Zhang, Cheng-Lin Liu, Effective license plate detection using fast candidate region selection and covariance feature based filtering, Proc. 11th Int. Conf. on Advanced Video and Signal-Based Surveillance (AVSS), Seoul, Korea, 2014. |
| 48.Guo-Sen Xie, Xu-Yao Zhang, Cheng-Lin Liu, Efficient feature coding based on auto-encoder network for image classification, Proc. ACCV 2014, Singapore, 2014. |
| 49.Yong Li, Jing Liu, Zechao Li, Yangmuzi Zhang, Hanqing Lu, Songde Ma, Learning Low-Rank Representations with Classwise Block-Diagonal Structure for Robust Face Recognition. AAAI 2014: 2810-2816 |
| 50.Chaoyang Zhao, Wei Fu, Jinqiao Wang, Xiao Bai, Qingshan Liu, Hanqing Lu: Discriminative Context Models for Collective Activity Recognition. ICPR 2014: 648-653 |
| 51.Bingyuan Liu, Jing Liu, Xiao Bai, Hanqing Lu: Regularized Hierarchical Feature Learning with Non-negative Sparsity and Selectivity for Image Classification. ICPR 2014: 4293-4298 |
| 52.Bingyuan Liu, Jing Liu, Jinqiao Wang, Hanqing Lu. Learning a Representative and Discriminative Part Model with Deep Convolutional Features for Scene Recognition. The 12th Asian Conference on Computer Vision (ACCV 2014). |
| 53.Bingyuan Liu, Jing Liu, Zechao Li, Hanqing Lu. Image Representation Learning by Deep Appearance and Spatial Coding. The 12th Asian Conference on Computer Vision (ACCV 2014) |
| 54.Jianlong Fu,Jinqiao Wang, xin-Jing Wang, Yong Rui, Hanqing Lu. What Visual Attributes Characterize an Object Class? The 12th Asian Conference on Computer Vision (ACCV 2014) |
| 55.Feiyun Zhu, Bin Fan, Xinliang Zhu, Ying Wang, Shiming Xiang and Chunhong Pan. "10,000+ Times Accelerated Robust Subset Selection (ARSS)". Proc. Assoc. Adv. Artif. Intell. (AAAI), Austin, Texas USA, accepted, 2015. (AR: 531/1991~26.67%) |
| 56.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 Geoscience and Remote Sensing Letters, accepted, 2014. |
| 57.Yonghao He, Jian Wang, Shiming Xiang, Chunhong Pan. Image Annotation via Learning the Image-Label Interrelations. In Proceedings of International Conference on Image Processing, 2014 |
| 58.Baoyuan Wu, Zhilei Liu, Shangfei Wang, Baogang Hu, Qiang Ji, “Multi-Label Learning with Missing Labels”, in: (ICPR-2014), pp. 1964-1968. |
| 59.Zhi-Yong Ran and Bao-Gang Hu, “An Identifying Function Approach for DeterminingStructural Identifiability of Parameter Learning Machines”, in: (IJCNN’14), pp. 1593-1599, 2014. |
| 60.Gui-Biao Xu, Bao-Gang Hu, and Jose Principe, “An Asymmetric Stagewise Least Square LossFunction for Imbalanced Classification”, in: (IJCNN’14), 2014. |
| 61.Chun-Guo Li and Bao-Gang Hu, “Two-Phase Attribute Ordering for Unsupervised Ranking of Multi-Attribute Objects”, in: (ICDM Workshop on DDDM2014), 2014. |
| 生物特征信息处理（Biometric Information Processing ） |
| 62.Yang Yang, Jimei Yan, Junjie Yan, Shengcai Liao, Dong Yi, Stan Z. Li. “Salient Color Names for Person Re-Identification”. In Proceedings of European Conference on Computer Vision, (ECCV2014). Zurich, September 6-12, 2014. |
| 63.Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li. “Aggregate Channel Features for Multi-view Face Detection”. In Proceedings of International Joint Conference on Biometrics, (IJCB2014). Clearwater, Florida, USA, September 29- October 2, 2014. |
| 64.Shengcai Liao, Zhen Lei, Dong Yi, Stan Z. Li. “A Benchmark Study of Large-scale Unconstrained Face Recognition”. In Proceedings of International Joint Conference on Biometrics, (IJCB2014). Clearwater, Florida, USA, September 29- October 2, 2014. |
| 65.Dong Yi, Zhen Lei, Shengcai Liao, Stan Z. Li. “Deep Metric Learning for Person Re-Identification”. In Proceedings of International Conference on Pattern Recognition, (ICPR2014). Sweden, August 24-28, 2014. |
| 66.Zhen Lei, Dong Yi, Stan Z. Li. “Local Gradient Order Pattern for Face Representation and Recognition”. In Proceedings of International Conference on Pattern Recognition, (ICPR2014). Sweden, August 24-28, 2014. |
| 67.Xiangyu Zhu, Dong Yi, Zhen Lei, Stan Z. Li. “Robust 3D Morphable Model Fitting by Sparse SIFT Flow”. In Proceedings of International Conference on Pattern Recognition, (ICPR2014). Sweden, August 24-28, 2014. |
| 68.Yang Yang, Shengcai Liao, Zhen Lei, Dong Yi, Stan Z. Li. “Color Models and Weighted Covariance Estimation for Person Re-Identification”. In Proceedings of International Conference on Pattern Recognition, (ICPR2014). Sweden, August 24-28, 2014. |
| 69.Yang Hu, Shengcai Liao, Dong Yi, Zhen Lei, Stan Z. Li. “Multi-Camera Trajectory Mining: Database and Evaluation”. In Proceedings of International Conference on Pattern Recognition, (ICPR2014). Sweden, August 24-28, 2014. |
| 70.Longyin Wen, Wenbo Li, Zhen Lei, Dong Yi, Stan Z. Li. “Multiple Target Tracking Based on Undirected Hierarchical Relation Hypergraph”. In Proceedings of 27th IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR2014). Columbus, Ohio, June 23-28, 2014. |
| 71.Junjie Yan, Zhen Lei, Stan Z. Li. “The Fastest Deformable Part Model for Object Detection”. In Proceedings of 27th IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR2014). Columbus, Ohio, June 23-28, 2014. |
| 72.Dong Yi, Zhen Lei, Stan Z. Li. “Age Estimation by Multi-scale Convolutional Network”. In Proceedings of 12th Asian Conference on Computer Vision (ACCV2014). Singapore, November 1-5, 2014. |
| 73.Junjie Yan, Bin Yang, Zhen Lei, Stan Z. Li. “Adaptive Structural Model for Video Based Pedestrian Detection”. In Proceedings of 12th Asian Conference on Computer Vision (ACCV2014). Singapore, November 1-5, 2014. |
| 74.Junjie Yan, Zhen Lei, Yang Yang, Stan Z. Li. “Stacked Deformable Part Model with Shape Regression for Object Part Localization”. In Proceedings of European Conference on Computer Vision, (ECCV2014). Zurich, September 6-12, 2014 |
| 75.Menglong Yang, Yiguang Liu, Longyin Wen, Zhisheng You, Stan Z. Li. “A Probabilistic Framework for Multitarget Tracking with Mutual Occlusions”. In Proceedings of 27th IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR2014) Columbus, Ohio, June 1298-1305, 2014 |
| 76.Yang Hu, Dong Yi, Shengcai Liao, Zhen Lei, Stan Z. Li. “Cross Dataset Person Re-identification”. In Workshop on Human Identification for Surveillance (HIS), in conjunction with ACCV2014, Singapore, November 1-5, 2014. |
| 77.Jianqing Zhu, Shengcai Liao, Zhen Lei, Stan Z. Li. “Improve Pedestrian Attribute Classification by Weighted Interactions from Other Attributes”, In Workshop on Human Identification for Surveillance (HIS), in conjunction with ACCV2014, Singapore, November 1-5, 2014. |
| 78.Longyin Wen, Zhaowei Cai, Dawei Du, Zhen Lei, Stan Z. Li. “Learning Discriminative Hidden Structural Parts for Visual Tracking”, In Workshop on Feature and Similarity Learning for Computer Vision (FSLCV), in conjunction with ACCV2014, Singapore, November 1-5, 2014. |
| 计算机图形学（Computer Graphics） |
| 79.Shibiao Xu, Xing Mei, Weiming Dong, Xun Sun, Xukun Shen and Xiaopeng Zhang. Depth of Field Rendering via Adaptive Recursive Filtering. Siggraph Asia Technical Briefs, Article 16 , 4 pages , 2014. |
| 80.Fan Tang, Yiping Meng, Weiming Dong, Xing Mei, Feiyue Huang, and Xiaopeng Zhang. 2014. Animated construction of ink-wash paintings. In SIGGRAPH Asia 2014 Posters (SIGGRAPH ASIA '14). ACM, New York, NY, USA, Article 23 , 1 pages. |
| 81.Yong Zhang, Weiming Dong, Oliver Deussen, Feiyue Huang, Ke Li, and Bao-Gang Hu. 2014. Data-driven face cartoon stylization. In SIGGRAPH Asia 2014 Technical Briefs (SIGGRAPH ASIA '14). ACM, New York, NY, USA, Article 14 , 4 pages. |
| 82.Huaiyu Li, Weiliang Meng, Xiaopeng Zhang. A review of recent mesh compression approaches. International Conference on Virtual Reality and Visualization Conference(ICVRV’14), 2014. |
| 83.Weize Quan, Weiliang Meng, Xiaopeng Zhang. The extraction of feature lines on 3D models: a survey. International Conference on Virtual Reality and Visualization Conference(ICVRV’14), 2014. |
| 84.Er Li, Xiaopeng Zhang and Yanyun Chen. Surface Reconstruction from Large Scale Point Cloud using Space Curve based Sampling. VRCAI2014, 35-41, 2014. |
| 85.Er LI, Xiaopeng Zhang, and Yanyun Chen. Symmetry based Chinese Ancient Architecture. Reconstruction from Incomplete Point Cloud.The 5th International Conference on Digital Home (ICDH 2014), 157-161, 2014. |
| 86.Yifan Yan, Juntao Ye, Xiaoyang Zhu, Jituo Li, Animation of Refitted 3D Garment Models for Reshaped Bodies. International Conference on Virtual Reality and Visualization Conference(ICVRV’14), 2014 |
| 图象/视频处理与分析（Image/Video Processing and Analysis） |
| 87.Shu Zhang, Man Zhang, Ran He and Zhenan Sun, “Transform-Invariant Dictionary Learning For Face Recognition,” Proc. IEEE International Conference on Image Processing, pp. 348-352, October 2014, Paris, France. |
| 88.Chong Wang, Weiqiang Ren, Kaiqi Huang, “Window Mining by Clustering Mid-Level Representation for Weakly Supervised Object Localization,” Proc. International Conference on Image Processing, pp.4067-4071, October 2014, Paris, France. |
| 89.Weihua Chen, Lijun Cao, Xiaotang Chen, Kaiqi Huang, “A Novel Solution for Multi-Camera Object Tracking,” Proc. IEEE International Conference on Image Processing, pp. 2329-2333 October 2014, Paris, France. |
| 90.Zairan Wang, Jing Dong, Wei Wang and Tieniu Tan, “An Effective Watermarking Method against Valumetric Distortions,” Proc. IEEE International Conference on Image Processing, pp. 5487-5491, October 2014, Paris, France. |
| 91.Dong Wang, Qiyue Yin, Ran He, Liang Wang and Tieniu Tan, “Semi-Supervised Subspace Segmentation,” Proc. IEEE International Conference on Image Processing, pp. 2854-2858, October 2014, Paris, France. |
| 92.Zairan Wang, Jing Dong, Wei Wang and Tieniu Tan, “Improved Robust Watermarking Based on Rational Dither Modulation,” Proc. Advances in Image and Graphics Technologies, vol.437 , pp. 305-314, June 2014, Beijing, China. |
| 93.Jian Cheng, Cong Leng, Jiaxiang Wu, Hainan Cui, Hanqing Lu: Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction. CVPR 2014: 1-8 |
| 94.Chaoyang Zhao, Jinqiao Wang, Chengli Xie, Hanqing Lu: A coarse-to-fine logo recognition method in video streams. ICME Workshops 2014: 1-6 |
| 95.Kezhen Teng, Jinqiao Wang, Min Xu, Hanqing Lu: Mask Assisted Object Coding with Deep Learning for Object Retrieval in Surveillance Videos. ACM Multimedia 2014: 1109-1112 |
| 96.Zhiqiang Tang, Yifan Zhang, Shuang Qiu, and Hanqing Lu: Video Face Naming Using Global Sequence Alignment. ICIP 2014: 298-302 |
| 97.Guibo Zhu, Jinqiao Wang, Hanqing Lu: Object Tracking with Part-Based Discriminative Context Models. ICIP 2014: 4932-4936 |
| 98.Guibo Zhu, Jinqiao Wang, Chaoyang Zhao, Hanqing Lu: Part Context Learning for Visual Tracking. BMVC 2014 |
| 99.Guibo Zhu, Jinqiao Wang, Hanqing Lu. Clustering Ensemble Tracking. The 12th Asian Conference on Computer Vision (ACCV 2014) |
| 100.Guangliang Cheng, Ying Wang, Yongchao Gong, Feiyun Zhu and Chunhong Pan. Urban Road Extraction via Graph Cuts based Probablilty Propagation. International Conference on Image Processing (ICIP) 2014. |
| 101.Tianzhu Zhang, Kui Jia, Changsheng Xu, Yi Ma, Narendra Ahuja. Partial Occlusion Handling for Visual Tracking via Robust Part Matching. IEEE International Conference on Computer Vision and Pattern Recognition. Pages 1258 - 1265,June 23-28, 2014 Columbus, Ohio, USA |
| 102.Shengsheng Qian, Tianzhu Zhang, Changsheng Xu. Multi-Modal Supervised Latent Dirichlet Allocation for Event Classification in Social Media. International Conference on Internet Multimedia Computing and Service. pp.152-157, 2014. Xiamen, China |
| 103.Shengsheng Qian, Tianzhu Zhang, Changsheng Xu. Boosted Multi-Modal Supervised Latent Dirichlet Allocation for Social Event Classification. 22nd International Conference on Pattern Recognition. pp.1999-2004, 2014 Stockholm, Sweden |
| 104.Xing Mei, Bao-Gang Hu, Siwei Lyu. Non-blind Image Restoration with Symmetric Generalized Pareto Priors, In ICIP 2014. |
| 多媒体计算（Multimedia Computing） |
| 105.Lijun Cao, Xu Zhang, Weihua Chen, Kaiqi Huang, “License Plate Localization With Efficient Markov Chain Monte Carlo,” Proc. International Conference on Internet Multimedia Computing and Service, pp. 295-298, July 2014, Xiamen, China. |
| 106.Lijun Cao, Weihua Chen, Xu Zhang, Kaiqi Huang, “A Smart Meeting Management System With Video Based Seat Detection,” Proc. International Conference on Internet Multimedia Computing and Service, pp. 232-235, July 2014, Xiamen, China. |
| 107.Ting Yuan, Jian Cheng, Xi Zhang, Shuang Qiu, Hanqing Lu: Recommendation by Mining Multiple User Behaviors with Group Sparsity. AAAI 2014: 222-228 |
| 108.Cong Leng, Jian Cheng, Jiaxiang Wu, Xi Zhang, Hanqing Lu: Supervised Hashing with Soft Constraints. CIKM 2014: 1851-1854 |
| 109.Xi Zhang, Jian Cheng, Hanqing Lu: Less is More: Sparse Representative based Preference Elicitation for Cold Start Recommendation. ICIMCS 2014: 117 |
| 110.Shuang Qiu, Jian Cheng, Xi Zhang, Biao Niu, Hanqing Lu: Community discovering guided cold-start recommendation: A discriminative approach. ICME 2014: 1-6 |
| 111.Cong Leng, Jian Cheng, Ting Yuan, Xiao Bai, Hanqing Lu: Learning Binary Codes with Bagging PCA. ECML/PKDD (2) 2014: 177-192 |
| 112.Jian Cheng, Ting Yuan, Jinqiao Wang, Hanqing Lu: Group latent factor model for recommendation with multiple user behaviors. SIGIR 2014: 995-998 |
| 113.Cong Leng, Jian Cheng, Hanqing Lu: Random subspace for binary codes learning in large scale image retrieval. SIGIR 2014: 1031-1034 |
| 114.Shuang Qiu, Jian Cheng, Ting Yuan, Cong Leng, Hanqing Lu: Item group based pairwise preference learning for personalized ranking. SIGIR 2014: 1219-1222 |
| 115.Jian Wang, Cuicui Kang, Yonghao He, Shiming Xiang, Chunhong Pan. Cross Modal Deep Model and Gaussian Process Based Model for MSR-Bing Challenge. In Proceedings of the ACM International Conference on Multimedia. ACM New York, NY, USA, pp. 225-228, 2014. |
| 医学图像分析(Medical Image Analysis) |
| 116.Sui, J., Castro, E., Hao, H., Bridwell, D., Du, Y., Pearlson, G.D., and Calhoun, V.D. Combination of FMRI-SMRI-EEG Data Improves Discrimination of Schizophrenia Patients by Ensemble Feature Selection, the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'14) 2014, Chicago, Illinois, USA, August 26-30 |
| 117.Li H. and Fan Y. Hierarchical organization of the functional brain identified using floating aggregation of functional signals, IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, April 29-May 2. |
| 118.Li H. and Fan Y. Spatial alignment of human cortex by matching hierarchical patterns of functional connectivity, IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, April 29-May 2. |
| 119.Cheng H. and Fan Y. Functional parcellation of the hippocampus by clustering resting state fMRI signals, IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, April 29-May 2. |
| 120.Cheng H. and Fan Y. Semi-supervised clustering for amygdala parcellation based on resting state fMRI data, SPIE Medical Imaging, San Diego, California, United States, February 15-20. |
| 121.Zhang Y., Fan L., Yu C. and Jiang T. Anatomical parcellation of human brain using structural covariance, IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, April 29-May 2. |
| 语音语言技术(Speech and Language Technology) |
| 122.Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou and Chengqing Zong. Mind the Gap: Machine Translation by Minimizing the Semantic Gap in Embedding Space. In Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI), July 27-31, 2014, Quebec City, Canada. Pages 1657-1663 |
| 123.Mei Tu, Yu Zhou and Chengqing Zong. Enhancing Grammatical Cohesion: Generating Transitional Expressions for SMT. In Proceedings ofthe 52nd Annual Meeting of the Association for Computational Linguistics (ACL), June 23 - 25, 2014, Baltimore, USA. Pages 850-860 |
| 124.Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou and Chengqing Zong. Bilingually-constrained Phrase Embeddings for Machine Translation. InProceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), June 23 - 25, 2014, Baltimore, USA. Pages 111-121 |
| 125.Feifei Zhai, Jiajun Zhang, Yu Zhou and Chengqing Zong. Derivation Structure Prediction for SMT. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL) (Short paper), June 23 - 25, 2014, Baltimore, USA. Pages 779-784 |
| 126.Kun Wang, Chengqing Zong and Keh-Yih Su. Dynamically Integrating Cross-Domain Translation Memory into Phrase-Based Machine Translation during Decoding. In Proceedings of the 25th International Conference on Computational Linguistics (COLING), 23-29 August 2014, Dublin, Ireland. Pages 398-408. |
| 127.Haitong Yang and Chengqing Zong. Multi-Predicate Semantic Role Labeling. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), October 25-29, 2014, Doha, Qatar. Pages 363-373 |
| 128.Haitong Yang and Chengqing Zong. A Global Generative Model for Chinese Semantic Role Labeling. To appear in Proceedings of the 3rd International Conference on Natural Language Processing and Chinese Computing (NLPCC), December 8-9, 2014, Shenzhen, China |
| 129.Junjie Li and Chengqing Zong. Sentiment Classification of Chinese Contrast Sentences. To appear in Proceedings of the 3rd International Conference on Natural Language Processing and Chinese Computing (NLPCC), December 8-9, 2014, Shenzhen, China. |
| 130.Lu Xiang, Xiaoqing Li, Yu Zhou. Word Segmenter for Chinese Micro-blogging Text Segmentation – Report for CIPS-SIGHAN’ 2014 Bakeoff. Proceedings of The Third CIPS-SIGHAN Joint Conference on Chinese Language Processing, Otc. 18-22, 2014, WuHan, China |
| 131.Shizhu he, Kang Liu, Yuanzhe Zhang and Jun Zhao and Jun Zhao, Question Answering over Linked Data Using First Order Logic, In: Proceedings of the 2014 Conference on Empirical Methods on Natural Language Processing (EMNLP-2014), Oct 26-28, Doha, Qatar, 2014 (Full Regular).Pages 1092-1103 |
| 132.Kang Liu, Liheng Xu, and Jun Zhao, Extracting Opinion Targets and Opinion Words from Online Reviews with Graph Co-ranking, In: The 52nd Annual Meeting of the Association for Computational Linguistics (ACL-2014), Baltimore, USA, June 22-27, 2014 (Full Regular Oral).Pages 314-324 |
| 133.Liheng Xu, Siwei Lai, Kang Liu and Jun Zhao, Product Feature Mining: Semantic Clues versus Syntactic Constituents, In: The 52nd Annual Meeting of the Association for Computational Linguistics (ACL-2014), Baltimore, USA, June 22-27, 2014 (Full Regular Oral).Pages 336-346 |
| 134.Liheng Xu, Kang Liu and Jun Zhao, Joint Opinion Relation Detection Using One-Class Deep Neural Network, Accepted by: The 25th International Conference on Computational Linguistics (COLING-2014), Dublin, Ireland, 23-29, August, 2014 (Full Regular Oral)Pages 677-687 |
| 135.Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou and Jun Zhao, Relation Classification via Convolutional Deep Neural Network, Accepted by: The 25th International Conference on Computational Linguistics (COLING-2014), Dublin, Ireland, 23-29, August, 2014 (Full Regular Oral) (Best Paper Award).Pages 2335-2344 |
| 136.Yang Liu, Kang Liu, Liheng Xu, Jun Zhao, Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction, Accepted by: The 25th International Conference on Computational Linguistics (COLING-2014), Dublin, Ireland, 23-29, August, 2014 (Full Regular Oral).Pages 2107-2116 |
| 137.Guangyou Zhou, Yubo Chen, Daojian Zeng, and Jun Zhao, Group Non-negative Matrix Factorization with Natural Categories for Question Retrieval in Community Question Archives, Accepted by: The 25th International Conference on Computational Linguistics (COLING-2014), Dublin, Ireland, 23-29, August, 2014 (Full Regular Oral)Pages 89-98 |
| 138.Guangyou Zhou, Jun Zhao, and Daojian Zeng, Sentiment Classification with Graph Co-Regularization, Accepted by: The 25th International Conference on Computational Linguistics (COLING-2014), Dublin, Ireland, 23-29, August, 2014 (Full Regular Oral)Pages 1331-1340 |
| 139.Shizhu He, Yuanzhe Zhang, Kang Liu and Jun Zhao, CASIA@V2: A MLN-based Question Answering System over Linked Data, To appear in Proceedings of the fourth workshop on question answering over linked data (QALD-4) in CLEF 2014, Sheffield, UK, September, 15-18. Pages 1249-1259 |
| 140.Ran Zhang,Jianhua Tao,Ya Li,Zhengqi Wen, A novel hybrid mandarin speech synthesis system using different base units for model training and concatenation, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2014),May 4-9,2014,PP: 295-299,Florence,Italy.EI. |
| 141.Wei Lai,Ya Li,Hao Che,Shanfeng Liu,Jianhua Tao,Xiaoying Xu, Final Lowering Effect in Questions and Statements of Chinese Mandarin Based on a Large-scale Natural Dialogue Corpus Analysis, SPEECH PROSODY 2014, May 20-23,PP:653-657, Dublin Ireland |
| 142.Wei Lai, Ya Li, Hao Che, Shanfeng Liu, Jianhua Tao, Xiaoying Xu, Phonological influences on the realization of final lowering, The 17th Oriental COCOSDA，PP:83-88,Sept 10-12，Phuket, Thailand，EI |
| 143.Bin Liu, Jianhua Tao, Fuyuan Mo, Ya Li, Zhengqi Wen, Shanfeng Liu, Efficient Voice Activity Detection Algorithm based on Sub-band Temporal Envelope and Sub-band Long-term Signal Variability, The 9th International Symposium on Chinese Spoken Language Processing, pp.531-535,Sep 12-14, 2014，Singapore. |
| 144.Bin Liu, Fuyuan Mo, Jianhua Tao, Speech enhancement based on analysis-synthesis framework with improved pitch estimation and spectral envelope enhancement, The 12th IEEE International Conference on Signal Processing, pp.461-467,Oct 19-23, Hangzhou, China, EI |
| 145.Hao Li, Minghao Yang, Jianhua Tao, Tongue shape conversion with non-parallel training data, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2014), PP: 2569-2572, May 4-9,2015,Florence,Italy. |
| 146.Linlin Chao, Jianhua Tao, Minghao Yang, Ya Li, Improving Generation Performance of Speech Emotion Recognition by Denoising Autoencoders, The 9th International Symposium on Chinese Spoken Language Processing，PP:341-344,Sept12-14,2014，Singapore. |
| 147.Ran Zhang , Zhengqi Wen, Jianhua Tao, Ya Li, Bing Liu, Xiaoyan Lou, A Hierarchical Viterbi Algorithm for Mandarin Hybrid Speech Synthesis System, 2014 Interspeech, PP:795-799, Sept 14-18，Singapore. |
| 148.Hao Che, Jianhua Tao, Ya Li, Improving Mandarin Prosodic Boundary Prediction with Rich Syntactic Features, 2014 Interspeech, PP:46-50, Sept 14-19, Singapore. |
| 149.Hao che, Jianhua Tao, Ya Li，Zhengqi Wen, Investigating Effect of Rich Syntactic Features on Mandarin Prosodic Phrase Boundaries Prediction, 2014 ISCSLP, PP:501-505,Sept 12-14，Singapore. |
| 150.Shanfeng Liu, Zhengqi Wen, Ya Li, Jianhua Tao, Bin Liu, Context Features Based Pre-Selection and Weight Prediction in Concatenation Speech Synthesis System, The 9th International Symposium on Chinese Spoken Language Processing, PP:506-510,Sept12-14,2014, Singapore. |
| 151.Shanfeng Liu, Zhengqi Wen, Jianhua Tao, Ya Li, Yongguo Kang, A Data Driven Method for Target and Concatenation Cost Calculation with KL-Divergence in Mandarin Hybrid Speech Synthesis, The 12th IEEE International Conference on Signal Processing, PP:572-576,Oct 19-23,2014, HangZhou, China. |
| 152.Wei Bao,Ya Li, Mingliang Gu, Jianhua Tao, Linlin Chao, Shanfeng Liu, Combining Prosodic and Spectral Features for Mandarin Intonation Recognition, 2014 International Symposium on Chinese Spoken Language Processing(ISCSLP2014), pp.497-500,September 12 - 14,2014，Singpore. |
| 153.Wei Bao, Ya Li, Mingliang Gu, Minghao Yang, Hao Li, Linlin Chao, Jianhua Tao, Building a Chinese Natural Emotional Audio-visual Database, 2014 International Conference on Signal Processing（ICSP2014）, pp.583-587, October 19-23, Hangzhou, China. |
| 154.Ya Li, Jianhua Tao, Keikichi Hirose, Wei Lai & Xiaoying Xu“Hierarchical Stress Generation with Fujisaki Model in Expressive Speech Synthesis”，Speech Prosody 2014，May 20-23,PP:1032-1036，Dublin, Ireland. |
| 155.Yang Wang, Jianhua Tao, Evaluation of Parameter Generation Using High Order Dynamic Features and Long Span Windows for HMM based Speech Synthesis, The 9th International Symposium on Chinese Spoken Language Processing, pp.516-520,Sep 12-14, 2014,Singapore. |
| 156.Xiaoying Xu,Huimin Wang,Ya Li,Wei Lai,Jianhua Tao, The Expression Of Emotions by Text and Speech, The 9th International Symposium on Chinese Spoken Language Processing, Sep 12-14, 2014, Singapore. |
| 157.Linlin Chao,Jianhua Tao,Minghao Yang,Ya li,Zhengqi Wen, Multi-scale Temporal Modeling by Neural Networks for Dimensional Emotion Recognition in Video, AVEC ACM Multimedia 2014, PP:11-18, Nov 2-7, NY, USA. |
| 158.Wei Xue, Shan Liang and Wenju Liu, “Doa estimation of speech source in noisy environments with weighted spatial bispectrum correlation matrix,” Proceedings of ICASSP’2014 (2014 IEEE International Conference on Acoustics, Speech, and Signal Processing), May 4-9, 2014, Florence, Italy：pp.2301~2305. |
| 159.Shuai Nie, Hui Zhang, Xueliang Zhang and Wenju Liu, “Deep stacking networks with time series for speech separation,” Proceedings of ICASSP’2014(2014 IEEE International Conference on Acoustics, Speech, and Signal Processing), May 4-9, 2014, Florence, Italy：pp.6717~6721. |
| 160.Ying-Wei Tan, Wen-Ju Liu, Wei Jiang and Hao Zheng, “Hybrid SVM/HMM Architectures for Statistical Model-based Voice Activity Detection,” in the Proceedings of IJCNN2014(2014 International Joint Conference on Neural Networks), July 6-11, 2014, Beijing, China, pp.2875-2878. |
| 161.Mingming Chen, Zhanlei Yang and Wenju Liu, “Deep Neural Networks for Mandarin Tone Recognition,” in the Proceedings of IJCNN2014(2014 International Joint Conference on Neural Networks), July 6-11, 2014, Beijing, China, pp.1154-1158. |
| 162.Ying-Wei Tan, Wen-Ju Liu, Zhan-Lei Yang, Ming-Ming Chen, “Enhanced power-normalized features for mandarin robust speech recognition based on a voiced-unvoiced-silence decision,” in the Proceedings of ChinaSIP2014 (2nd IEEE China Summit & International Conference on Signal and Information Processing), July 9-13, 2014, Xi’an, China, pp.222-226. |
| 163.Hao Zheng, Mingming Chen, Wenju Liu, Zhanlei Yang, Shan Liang, “Improving deep neural networks by using sparse dropout strategy,” in the Proceedings of ChinaSIP2014 (2nd IEEE China Summit & International Conference on Signal and Information Processing), July 9-13, 2014, Xi’an, China, pp.21-24. |
| 164.Wei Xue, Shan Liang, Wenju Liu, “Weighted Spatial Bispectrum Correlation Matrix for DOA Estimation in the Presence of Interferences,” in the Proceedings of InterSpeech 2014, 14-18 September 2014, Singapore, pp.2228-2232. |
| 165.Mingming Chen, Zhanlei Yang, Hao Zheng and Wenju Liu, “Improving native accent identification using deep neural networks,” in the Proceedings of InterSpeech2014, 14-18 September 2014, Singapore, pp.2170-2174. |
| 国内会议(National Conference) |
| 1.Shu Zhang, Guangqi Hou, Zhenan Sun, Eyelash Removal using Light Field Camera for Iris Recognition, Proc. Chinese Conference on Biometric Recognition, vol.8833,pp. 319-327, November 2014 , Shengyang, China |
| 2.Haiqing Li, Zhenan Sun, Man Zhang, Libin Wang, Lihu Xiao and Tieniu Tan, A brief survey on recent progress in iris recognition, Proc. Chinese Conference on Biometric Recognition, vol.8833, pp. 288-300, November 2014, Shenyang, China. |
| 3.Muhammad Rauf, Yongzhen Huang and Liang Wang, Encoding Optimization Using Nearest Neighbor Descriptor, Proc. Chinese Conference on Pattern Recognition, pp. 81-88, November 2014, Changsha, China. |
| 4.Yang Liu, Jiajun Zhang, Jie Hao and Dakun Zhang. Making Language Model as Small as Possible in Statistical Machine Translation.10th China Workshop, CWMT 2014, Macau, China, November 4-6, 2014. Proceedings.CCIS 493, pp. 1–12, 2014. (Best Paper) |
| 5.Lu Xiang, Yu Zhou, Jie Hao and Dakun Zhang. Query Expansion for Mining Translation Knowledge from Comparable Data. Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data Lecture Notes in Computer Science Volume 8801, 2014, pp 200-211. |
| 6.Daojian Zeng,Siwei Lai,Xuepeng Wang,Kang Liu,Jun Zhao,Xueqiang Lv.Distant Supervision for Relation Extraction via Sparse Representation[C].The 13th China National Conference on Computational Linguistics (CCL 2014).Pages 151-162. |
| 7.Daojian Zeng,Yubo Chen,Kang Liu,Jun Zhao,Xueqiang Lv.Learning the Distinctive Pattern Space Features for Relation Extraction[C].The 13th China National Conference on Computational Linguistics(CCL 2014).Pages 163-174 |
| 8.Guangyou Zhou, Tingting He, Jun Zhao, Bridging the Language Gap: Learning Distributed Semantics for Cross-Lingual Sentiment Classification, The Third CCF Conference on Natural Language Processing & Chinese Computing, Shenzhen, 2014 (MSR Best paper Award).Pages 138-149 |
| 9.Zhang, Y., Wang, X., Lai, S., He, S., Liu, K., Zhao, J., & Lv, X. Ontology Matching with Word Embeddings[M]//Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data. Springer International Publishing, 2014: 34-45. |
| 10.王雪鹏，张元哲，刘康，徐立恒，赵军，刘树林，吕学强.,基于网络语义标签的多源知识库实体对齐算法, 2014第20届全国信息检索学术会议(CCIR 2014)(优秀论文) |
| 11.陈玉博，何世柱，周光有，刘康，赵军，吕学强. 融合多种特征的实体链接技术研究, 第20届全国信息检索学术会议(CCIR 2014) |
| 12.Xiaolong Liu, Yanming Zhang, Chenglin Liu, A nonlinear classifier based on factorization machines model, Chinese Conference on Pattern Recognition (CCPR 2014), Part I, pp.1-10, Springer, 2014. |
| 13.Shuangshuang Li, Yonghao He, Shiming Xiang, Lingfeng Wang, and Chunhong Pan. Transferring Segmentation from Image to Image via Contextual Sparse Representation. Chinese Conference on Pattern Recognition. Changsha, China, pp. 1-11, 2014. |
| 14.袁雯, 赖玮, 许小颖, 李雅, 陶建华，汉语特殊疑问句中焦点重音分布—兼论语法、语义因素对特殊疑问句焦点重音的影响，第十一届中国语音学学术会议，2014.08.08-08.10，新疆，乌鲁木齐。 |
| 15.高廷丽，陶建华，杨明浩，张大伟, 巢林林，李昊，车浩，李雅，刘斌，面向自然交互的多通道人机对话系统中答句自动生成方法研究，第十届全国和谐人机环境联合学术会议, 2014年. |
| 16.Yingwei Tan and Wenju Liu, “Robust voice activity detection using the combination of short-term and long-term spectral patterns,” in the Proceedings of CCPR2014(6th Chinese Conference on Pattern Recognition), Nov. 17-19 2014, Changsha, China, pp.428-435. |
| 17.Wei Jiang, Wenju Liu, Yingwei Tan and Shan Liang, “An Improved Multipitch Tracking Algorithm with Empirical Mode Decomposition,” in the Proceedings of CCPR2014 (6th Chinese Conference on Pattern Recognition), Nov. 17-19 2014, Changsha,, China, pp.209-217. |
| 18.Yuchong Li. Quasi-Orthorectified Panorama Generation Based on Affine Model from Terrain UAV Images.The 6th Chinese Conference on Pattern Recognition( CCPR 2014). Part I, CCIS 483, pp. 381–390, Nov. 17- 19, 2014 Changsha, China |
| 19.Yi Yang, Fuchao Wu , Real-Time Traffic Sign Detection via Color Probability Model and Integral Channel Features,The 6th Chinese Conference on Pattern Recognition(CCPR 2014). Part II, CCIS 484, pp. 545–554， Nov. 17- 19, 2014 Changsha, China |