Hang Su

Associate Professor

Department of Computer Science and Technology

email：suhangss@mail.tsinghua.edu.cn

URL：http://www.suhangss.me

Education background

Ph.D. in Electronic Engineering, Shanghai Jiaotong University, Shanghai, China, 2014

Master of Electronic Engineering, Shanghai Jiaotong University, Shanghai, China, 2009

Bachelor of Electronic Engineering, Shanghai Jiaotong University, Shanghai, China, 2007

Areas of Research Interests/ Research Projects

Trustworthy and Explainable Machine Learning, Computer Vision, Reinforcement Learning

Research Status

My research interests lie in the development of computer vision and machine learning algorithms for solving scientific and engineering problems arising from artificial learning and reasoning. His current work involves both the foundations of interpretable machine learning and the applications of image/video analysis, based on which he has published around 60 papers including CVPR, ECCV, TMI, etc. He has served as senior PC or PC members in the dominant international conferences including IJCAI, AAAI, CVPR, and worked as reviewers for top journals such as TPAMI, TIP, TMI, etc. Current, he also served as TCs in academic societies, including CV in CCF, ML in CAAI. He received “Young Investigator Award” from MICCAI2012, the “Best Paper Award” in AVSS2012, and “Platinum Best Paper Award” in ICME2018. He has also received grants as PIs from Nation Science Foundation of China and the China Postdoctoral Science, and serves as core members in several projects including NSF and 973.

Honors And Awards

1. ICME2018, Platinum Best Paper Award

2. MICCAI2012, Young Investigator Award

3. AVSS2012, Best Paper Award

Academic Achievement

[1] 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)

[2] 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)

[3] 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.

[4] 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）

[5] 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. （CCF A, Spotlight）

[6] 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）

[7] 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）

[8] 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）

[9] 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)

[10] 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)

[11] 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

[12] 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.

[13] 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

[14] 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)

[15] 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)