Wang, Zilin

7 publications

ICML 2025 Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning Guozheng Ma, Lu Li, Zilin Wang, Li Shen, Pierre-Luc Bacon, Dacheng Tao

CVPR 2025 Open Ad-Hoc Categorization with Contextualized Feature Learning Zilin Wang, Sangwoo Mo, Stella X. Yu, Sima Behpour, Liu Ren

AAAI 2024 Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations Zilin Wang, Haolin Zhuang, Lu Li, Yinmin Zhang, Junjie Zhong, Jun Chen, Yu Yang, Boshi Tang, Zhiyong Wu

NeurIPS 2024 Improving Generalization and Convergence by Enhancing Implicit Regularization Mingze Wang, Jinbo Wang, Haotian He, Zilin Wang, Guanhua Huang, Feiyu Xiong, Zhiyu Li, Weinan E, Lei Wu

NeurIPS 2023 Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning Guozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang, Zhen Wang, Li Shen, Xueqian Wang, Dacheng Tao

NeurIPSW 2023 Normalization Enhances Generalization in Visual Reinforcement Learning Lu Li, Jiafei Lyu, Guozheng Ma, Zilin Wang, Zhenjie Yang, Xiu Li, Zhiheng Li

ICLR 2021 Watch-and-Help: A Challenge for Social Perception and Human-AI Collaboration Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Yuan-Hong Liao, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba