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Yinpeng Dong, Tianyu Pang, Hang Su, and Jun Zhu. Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks, In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019. (CCF A, Oral)
Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, and Jun Zhu. Efficient Decision-based Black-box Adversarial Attacks on Face Recognition, In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019 (CCF A)
Xingxing Wei, Jun Zhu, Hang Su and Sha Yuan. Sparse Adversarial Perturbations for Videos, To appear in the 33rd AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, Hawaii, USA, 2019.
Shiyu Huang, Hang Su, Jun Zhu, and Tim Chen. Combo-Action: Training Agent For FPS Game with Auxiliary Tasks, To appear in the 33rd AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, Hawaii, USA, 2019.
Dong Yan，Shiyu Huang, Hang Su, Jun Zhu, Learning to Assign Credit in Reinforcement Learning by Incorporating Abstract Relations, in AAAI-19 Workshop on Reinforcement Learning in Games, 2019
Yinpeng Dong, Hang Su, Jun Zhu, Fan Bao, and Bo Zhang, Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples, AAAI-19 Workshop on Network Interpretability for Deep Learning, 2019
Yinpeng Dong, Renkun Ni, Jianguo Li, Yurong Chen, Hang Su, and Jun Zhu. Stochastic Quantization for Learning Accurate Low-bit DeepNeural Networks, International Journal of Computer Vision (IJCV), in press, 2019.
Yulong Wang, Hang Su, Xiaolin Hu, Interpret Neural Networks by Identifying Critical Data Routing Paths, in the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, 2018. （CCF A, Spotlight）
Juzheng Li, Hang Su, Jun Zhu, Siyu Wang, and Bo Zhang. Textbook Question Answering under Teacher Guidance with Memory Networks, in the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, 2018 （CCF A, Spotlight）
Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, and Jianguo Li. Boosting Adversarial Attacks with Momentum, in the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, 2018. (We won the first places in both " Non-targeted Adversarial Attack" and " Targeted Adversarial Attacks" of NIPS 2017 Adversarial Attacks and Defenses) （CCF A, Spotlight）
Haosheng Zou, Hang Su, Shihong Song, and Jun Zhu. Understanding Human Behavior in Crowds by Imitating the Decision-Making Process, in 32nd AAAI Conference on Artificial Intelligence (AAAI), New Orleans, USA, 2018. （CCF A）
Qin Zhou, Heng Fan, Shibao Zheng, Hang Su, Xinzhe Li, Shuang Wu, Haibin Ling, Graph Correspondence Transfer for Person Re-identification, in 32nd AAAI Conference on Artificial Intelligence (AAAI), New Orleans, USA, 2018 (Oral) （CCF A）
Juzheng Li, Hang Su, Jun Zhu, Bo Zhang, Essay-Anchor Attentive Multi-Modal Bilinear Pooling for Textbook Question Answering, in2018 IEEE International Conference on Multimedia and Expo (ICME), San Diego, USA, 2018 （CCF B, Oral）
Xiao Yang, Hang Su, Qin Zhou, Xinzhe Li, Shibao Zheng, Recognizing Minimal Facial Sketch by Generating Photorealistic Faces with the Guidance of Descriptive Attributes, in International Conference on Acoustics, Speech, and Signal Processing (ICASSP)， 2018 （CCF B）
Danyang Sun, Tongzheng Ren, Chongxun Li, Jun Zhu, Hang Su, Learning to Write Stylized Chinese Characters by Reading a Handful of Examples, in International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, 2018 （CCF A）
Mengchen Liu, Shixia Liu, Hang Su, Kelei Cao, and Jun Zhu. Analyzing the Noise Robustness of Deep Neural Networks, IEEE Conference on Visual Analytics Science and Technology (VAST), Berlin, Germany, 2018 (CCF A)
Xingxing Wei, Jun Zhu, Sitong Feng, and Hang Su. Video-to-Video Translation with Global Temporal Consistency, In Proc. of ACM Multimedia (MM), Seoul, Korea, 2018.
Hang Su, Jun Zhu, Yinpeng Dong, and Bo Zhang. Forecast the Plausible Paths in Crowd Scenes, in International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, 2017 （CCF A）
Wenbo Hu, Jun Zhu, Hang Su, Jingwei Zhuo, and Bo Zhang. Semi-supervised Max-margin Topic Models with Manifold Posterior Regularization, in International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, 2017 （CCF A）
Yinpeng Dong, Hang Su, Jun Zhu, and Bo Zhang. Improving Interpretability of Deep Neural Networks with Semantic Information, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, 2017 （CCF A）
Yinpeng Dong, Renkun Ni, Jianguo Li, Yurong Chen, Jun Zhu, and Hang Su. Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization, in the 28th British Machine Vision Conference (BMVC), London, 2017 (Oral, Best Paper Nomination)
Shuang Wu, Shibao Zheng, Hua Yang, Hang Su, Yawen Fan, M.H. Yang. Crowd Behavior Analysis via Curl and Divergence of Motion Trajectories, International Journal of Computer Vision (IJCV), 2017
Qin Zhou, Shibao Zheng, Haibin Ling, Hang Su, Shuang Wu, Joint Dictionary and Metric Learning for Person Re-identification, Pattern Recognition （PR）, 2017
Shuang Wu, Hua Yang, Shibao Zhen, Hang Su, Qin Zhou, Xu Lu. Motion Sketch based Crowd Video Retrieval, Multimedia Tools and Applications （MTA）, 2017
Shuang Wu, Hang Su, Hua Yang, Shiabao Zheng, Yawen Fan, Qin Zhou. Bilinear Dynamics for Crowd Video Analysis, Journal of Visual Communication and Image Representation （JVCIR），2017
Hang Su, Jun Zhu, Zhaozheng Yin, Yinpeng Dong, and Bo Zhang. Efficient and Robust Semi-supervised Learning over a Sparse-Regularized Graph, European Conference on Computer Vision (ECCV), Amsterdam, The Netherlands, 2016 (CCF B)
Kun Xu, Hang Su, Jun Zhu, Ji-Song Guan, and Bo Zhang. Neuron Segmentation Based on CNN With Semi-Supervised Regularization. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 20-28. 2016.
Shuang Wu, Hang Su, Shibao Zheng, Hua Yang, Qin Zhou, Motion Sketch Based Crowd Video Retrieval via Motion Structure Coding, International Conference on Image Processing (ICIP), 2016 (CCF C)
Qin Zhou, Shibao Zheng, Hua Yang, Yu Wang and Hang Su, Joint Instance and Feature Importance Re-weighting for Person Reidentification, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, 2016, pp. 1546-1550. (CCF B)
Hua Yang, Xinyu Wang, Ji Zhu, Wenqi Ma, and Hang Su. Resolution adaptive feature extracting and fusing framework for person re-identification. Neurocomputing, 212 (2016): 65-74.
Hang Su, Zhaozheng Yin, Takeo Kanade, Seungil Huh, Active Sample Selection and Correction Propagation on a Gradually-Augmented Graph , Computer Vision and Pattern Recognition, IEEE Conference on (CVPR), 2015. (CCF A)
Hang Su, Zhaozheng Yin, Seungil Huh, Takeo Kanade, Jun Zhu, “Interactive Cell Segmentation based on Active and Semi-supervised Learning,” IEEE Transactions on Medical Imaging (TMI), 2015
Hang Su, Hua Yang, Shibao Zheng, Sha Wei, Shuang Wu, Towards Active Annotation for Detection of Numerous and Scattered Objects , Multimedia and Expo, IEEE International Conference on (ICME), 2015. (CCF B)
Zhaozheng Yin, Hang Su, Elmer Ker, Mingzhong Li, Haohan Li, Cell Sensitive Phase Contrast Microscopy Imaging by Multiple Exposures, Medical Image Analysis (MIA), 2015
Sha Wei, Jun Li, Wen Chen, Lizhong Zheng, and Hang Su, Design of Generalized Analog Network Coding for a Multiple-Access Relay Channel, IEEE Transactions on Communications (TCOM), vol. 63, no. 1, pp. 170-185, Jan. 2015.
Qin Zhou, Shibao Zheng, Hang Su, Kernelized View Adaptive Subspace Learning for Person Re-identification, The British Machine Vision Conference (BMVC), 2015 (CCF C)
Hua Yang, Xinyu Wang, Wenqi Ma, Hang Su, Ji Zhu, Multiple Scaled Person Re-Identification Framework for HD Video Surveillance Application, Computer Vision of China (CCCV), 2015, pp. 219-228
Hang Su, Zhaozheng Yin, Takeo Kanade, Seungil Huh, Interactive Cell Segmentation based on Correction Propagation, International Symposium on Biomedical Imaging (ISBI), 2014.
Y. Zhou, Weiyao Lin, Hang Su, J. Wu, J. Wang, Y. Zhou, Representing and Recognizing Motion Trajectories: A Tube and Droplet Approach, ACM Multimedia (MM), 2014. (CCF A)
Hang Su, Zhou Su, Shibao Zheng, Hua Yang, and Sha Wei. Interactive cell segmentation based on phase contrast optics. Bio-medical materials and engineering 24, no. 1 (2014): 29-35.
Zhaozheng Yin, Hang Su, Elmer Ker, Mingzhong Li, and Haohan Li, Cell Sensitive Microscopy Imaging for Cell Image Segmentation, the 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014
Shuang Wu, Shibao Zheng, Hua Yang, Yawen Fan, Longfei Liang, Hang Su, SAGTA: Semi-Automatic Ground Truth Annotation in Crowd Scene, Multimedia and Expo, IEEE International Conference on (ICME), 2014
Sha Wei, Jun Li, Wen Chen, Hang Su, Zihuai Lin, and Branka Vucetic, Power Adaptive Network Coding for a Non-orthogonal Multiple-Access Relay Channel, Communication, IEEE Transactions on (TCOM), 2014
Changyou Deng, Hua Yang, and Hang Su. Human Detection based on CENTRIST and Scale of Edge Selection. In Broadband Multimedia Systems and Broadcasting (BMSB), 2014 IEEE International Symposium on, pp. 1-5. IEEE, 2014.
Xiaowei Lu, Hua Yang, Hang Su, and Shuang Wu. Flux based Pedestrian Flow Estimation in Occluded Scenes. In Broadband Multimedia Systems and Broadcasting (BMSB), 2014 IEEE International Symposium on, pp. 1-5. IEEE, 2014.
Hang Su, Zhaozheng Yin, Seungil Huh, Takeo Kanade, Cell Segmentation in Phase Contrast Microscopy Images via Semi-supervised Classification over Optics-related Features, Medical Image Analysis (MIA), vol. 17, pp. 746-765, Oct. 2013.
Hang Su, Hua Yang, Shibao Zheng, Yawen Fan, and Sha Wei, The Large-Scale Crowd Behavior Perception Based on Spatio-Temporal Viscous Fluid Field, Information Forensics and Security, IEEE Transactions on (TIFS), vol.8, pp.1575-1589, Oct. 2013
Hang Su, Zhaozheng Yin, Seungil Huh, Takeo Kanade, Cell Segmentation Via Spectral Analysis on Phase Retardation Features, International Symposium on Biomedical Imaging (ISBI), 2013, pp. 1469-1475.
Seungil Huh, Hang Su, Mei Chen, and Takeo Kanade, Efficient Phase Contrast Microscopy Restoration Applied for Muscle Myotube Detection, the 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2013, pp. 420-427.
Haiyan Yin, Hua Yang, Hang Su, Chongyang Zhang, Dynamic Background Subtraction Based on Appearance and Motion Pattern, Multimedia and Expo Workshops, IEEE International Conference on (ICMEW), 2013.
Yawen Fan, Hua Yang, Shibao Zheng, Hang Su, Shuang Wu, Video Sensor based Complex Scene Analysis with Granger Causality, Sensors, 2013
Hang Su, Zhaozheng Yin, Takeo Kanade, Seungil Huh, Phase Contrast Image Restoration via Dictionary Representation of Diffraction Patterns, the 15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2012, pp. 615-622. (Young Investigator Award)
Hang Su, Hua Yang, Shibao Zheng, Yawen Fan, and Sha Wei, Crowd Event Perception Based On Spatio-Temporal Viscous Fluid Field, International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2012, pp. 458-463. (Best Paper Award)
Seungil Huh, Hang Su, Takeo Kanade, Apoptosis Detection for Adherent Cell Populations in Time-lapse Phase-contrast Microscopy Images, the 15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2012: 331-339.
Sha Wei, Jun Li, Wen Chen, and Hang Su, Wireless Adaptive Network Coding Strategy in Multiple-Access Relay Channels. IEEE International Conference on Communications (ICC), 2012, pp.751-755.
Hua yang, Yihua cao, Hang Su, The Large-scale Crowd Analysis Based on Sparse Spatial-temporal Local Binary Pattern, Multimedia Tools and Applications (MTA), Oct. 2012.
Yawen Fan, Shibao Zheng, Hua Yang, Chongyang Zhang, Hang Su, Causality Weighted Active Learning for Abnormal Event Identification based on the Topic Model, Optical Engineering (OE), vol. 51, 2012.
Hua Yang, Hang Su, Shibao Zheng, Sha Wei, and Yawen Fan, The Large-scale Crowd Density Estimation based on Sparse Spatiotemporal Local Binary Pattern, Multimedia and Expo, 2011 IEEE International Conference on (ICME), 2011, pp.1-6.
Ling Li, Hua Yang, Hang Su, Yihua Cao, and Shibao Zheng, A Web-Based HD Telemedicine System for Remote Psychotherapy, Cyber-Enabled Distributed Computing and Knowledge Discovery, International Conference on (CyberC), 2011, pp.544-550.
Yawen Fan, Hua Yang, Shibao Zheng and Hang Su, Geometric Motion Flow (GMF): A New Feature for Traffic Surveillance, Image and Graphics, 2011 Sixth International Conference on (ICIG), 2011, pp.726-730.
Sha Wei, Jun Li, and Hang Su, Joint Orthogonal Coding and Modulation Scheme for Soft Information in Bi-Directional Networks, Wireless Communications, Networking and Mobile Computing, 7th International Conference on (WiCOM), 2011, pp.1-4.
Sha Wei, Jun Li and Hang Su, Performance Analysis of Relay Selection for Bi-Directional Cooperative Network, Wireless Communications, Networking and Mobile Computing, 7th International Conference on (WiCOM), 2011, pp. 1324-1327.
Sha Wei, Jun Li, and Hang Su, Performance Analysis of Soft Information Cooperation in Bi-Directional Networks, Wireless Communications, Networking and Mobile Computing, 7th International Conference on (WiCOM), 2011, pp. 23-25.
Hang Su, Yang Hua and Zheng Shibaozheng, The Large-scale Crowd Density Estimation based on Region Feature Extraction Method, Asian Conference on Computer Vision (ACCV), 2010, pp.1605-1616.
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