Fundamentals

Haoqi Wang*, Zhizhong Li*, Wayne Zhang. Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023. [paper] [code]

Haoqi Wang*, Zhizhong Li*, Litong Feng, Wayne Zhang. ViM: Out-Of-Distribution with Virtual-logit Matching. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [paper] [code]

Anyi Rao, Linning Xu, Zhizhong Li, Qingqiu Huang, Zhanghui Kuang, Wayne Zhang, Dahua Lin. A Coarse-to-Fine Framework for Automatic Video Unscreen. IEEE Transactions on Multimedia (TMM), 2022. [paper] [code]

Zhanghui Kuang, Hongbin Sun, Zhizhong Li, Xiaoyu Yue, Tsui Hin Lin, Jianyong Chen, Huaqiang Wei, Yiqin Zhu, Tong Gao, Wenwei Zhang, Kai Chen, Wayne Zhang, Dahua Lin. MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding. The 29th ACM International Conference on Multimedia (MM), 2021. [paper] [code]

Cong Ma*, Zhizhong Li*, Dahua Lin, Jiangshe Zhang. Parallel Multi-Environment Shaping Algorithm for Complex Multi-step Task. Neurocomputing, 2020. [paper] [code]

Hao Sun, Zhizhong Li, Xiaotong Liu, Bolei Zhou, Dahua Lin. Policy Continuation with Hindsight Inverse Dynamics; Advances in Neural Information Processing Systems (NeurIPS), 2019. [paper] [code]

Sijie Yan*, Zhizhong Li*, Yuanjun Xiong, Huahan Yan, Dahua Lin. Convolutional Sequence Generation for Skeleton-Based Action Synthesis; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019. [paper] [code]

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]

[Random Thought] Geometric View of GAN and Visualization. [pdf] [ppt]

[Seminar Talk] Geometric Optimization Algorithms for Matrix Completion. [ppt]

李治中;杨明珊;邹澎;静电场第一类边值外问题的有限差分法求解[A];教育部中南地区高等学校电子电气基础课教学研究会第二十届学术年会会议论文集（下册）[C];2010年 [paper]

[B.A. Thesis] Discovering Cultural Gaps from Translated Works --- with the Case Study of Davis’s Translated work: Chinese Novels [pdf]