I received Ph.D. degree from MM-Lab,
IE department of CUHK at 2019.
My research interests mainly focus on machine learning and computer vision.
I also have work on graph CNN, reinforcement learning, ensemble learning and geometric optimization.
I received M.S. (Mathematics) from Peking University at 2015, and B.S. (Mathematics) and B.A (double major in English) degree from Zheng Zhou University at 2010.
Cong Ma*, Zhizhong Li*, Dahua Lin, Jiangshe Zhang. Parallel Multi-Environment Shaping Algorithm for Complex Multi-step Task. Neurocomputing (2020).
Hao Sun, Zhizhong Li, Xiaotong Liu, Bolei Zhou, Dahua Lin. Policy Continuation with Hindsight Inverse Dynamics; NeurIPS 2019.
Sijie Yan*, Zhizhong Li*, Yuanjun Xiong, Huahan Yan, Dahua Lin. Convolutional Sequence Generation for Skeleton-Based Action Synthesis; ICCV 2019.
Zhizhong Li. A Stroke of Genius: Generating Images. In Xiao’ou Tang and Yukun Chen, editors, Fundamentals of Artificial Intelligence (Senior High School Edition), chapter 8, pages 135–152. East China Normal University Press and The Commercial Press, 2018. [Link]
Zhizhong Li and Dahua Lin. Integrating Specialized Classifiers Based on Continuous Time Markov Chain. In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI), pages 2244–2251, 2017. [paper] [code]
Xingcheng Zhang*, Zhizhong Li*, Chen Change Loy, and Dahua Lin. PolyNet: A Pursuit of Structural Diversity in Very Deep Networks. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 718–726, 2017. [paper] [repo]
Zhizhong Li, Deli Zhao, Zhouchen Lin, and Edward Y Chang. A New Retraction for Accelerating the Riemannian Three-Factor Low-Rank Matrix Completion Algorithm. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 4530–4538, 2015. [paper] [code]
Zhizhong Li, Deli Zhao, Zhouchen Lin, and Edward Y Chang. Determining Step Sizes in Geometric Optimization Algorithms. In 2015 IEEE International Symposium on Information Theory (ISIT), pages 1217–1221. IEEE, 2015. [paper] [code]
Lanxin Lei*, Zhizhong Li*, Dahua Lin. Biased Estimates of Advantages over Path Ensembles; Under review.
Xingxing Zou*, Zhizhong Li*, Ke Bai, Dahua Lin, Waikeung Wong. Explainable Clothing Aesthetic Evaluation with Gradient Penalty; Draft
Lanxin Lei, Zhizhong Li, Dahua Lin. Experience Guided Exploration in Reinforcement Learning; Draft.
[Seminar Talk] A Brief Introduction to Graph Convolution. [ppt]
[Random Thought] Deep Self-Organized AutoEncoder (unfinished). [pdf]
[Seminar Talk] GAN & Optimal Transportation. [ppt]
[Seminar Talk] Geometric Optimization Algorithms for Matrix Completion. [ppt]
[B.A. Thesis] Discovering Cultural Gaps from Translated Works --- with the Case Study of Davis’s Translated work: Chinese Novels [pdf]