mathsshen Goto Github PK

I'm a third-year PhD student of National University of Singapore under the supervision of Prof. Bryan Hooi. My research interests include deep generative models, face recognition and visual object detection and tracking. Prior to this, I received my M.S. from University of Chinese Academy of Sciences where I was advised by Prof. Xilin Chen. I received my B.S. in computer science from Beijing Jiaotong University.

September, 2021. I received Google PhD fellowship 2021 on the machine learning track.

August, 2019. I will be joining IDS-NUS as a PhD student under the supervision of Dr. Bryan Hooi.

June, 2018. I received my M.S. from University of Chinese Academy of Sciences.

July, 2018. I received IEEE ICME 2018 Platinum Best Paper Award.

Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi. Trust but Verify: Using Self-Supervised Probing to Improve Trustworthiness. European Conference on Computer Vision 2022 (ECCV).

Yuqiong Qi, Yang Hu, Haibin Wu, Shen Li, Xiaochun Ye, Dongrui Fan. A synergistic reinforcement learning-based framework design in driving automation. Computers and Electrical Engineering Volume 101, July 2022, 107989.

Shen Li, Bryan Hooi. Neural PCA for Flow-Based Representation Learning. International Joint Conference on Artificial Intelligence (IJCAI) 2022.

Miao Xiong, Shen Li, Wenjie Feng, Jihai Zhang, Ailin Deng, Bryan Hooi. Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation. Transactions on Machine Learning Research (TMLR) 2022.

Yuqiong Qi, Yang Hu, Haibin Wu, Shen Li, Haiyu Mao, Xiaochun Ye, Dongrui Fan, Ninghui Sun. Tackling Variabilities in Autonomous Driving. arXiv preprint, 2021.

Shen Li, Jianqing Xu, Xiaqing Xu, Pengcheng Shen, Shaoxin Li, Bryan Hooi. Spherical Confidence Learning for Face Recognition. 2021 IEEE International Conference on CVPR (Oral, acceptance rate top 4.3%) .

Shen Li, Bryan Hooi, Gim Hee Lee. Identifying through Flows for Recovering Latent Representations. 2020 IEEE International Conference on Learning Representations (ICLR2020).

Shen Li, Xiaqing Xu, Bingpeng Ma, Hong Chang, Xilin Chen. Learning Hidden States for Visual Tracking. Preprint, 2018.

Shen Li, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen. Continuity-Discrimination Convolutional Neural Network for Visual Object Tracking. 2018 IEEE International Conference on Multimedia and Expo (ICME2018, Oral, Platinum Best Paper Award).

Youfang Lin, Shen Li, Sujie Liu, Yuchang Chen. An Efficient Approach to Mobile Robot Motion Planning in Dynamically Unknown Environments. IEEE ICARCV 2014: 1764-1770 (Oral).