Li, Lu

18 publications

ICML 2025 AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N Tianyu Zhang, Andrew Robert Williams, Phillip Wozny, Kai-Hendrik Cohrs, Koen Ponse, Marco Jiralerspong, Soham Rajesh Phade, Sunil Srinivasa, Lu Li, Yang Zhang, Prateek Gupta, Erman Acar, Irina Rish, Yoshua Bengio, Stephan Zheng

IJCAI 2025 ListenNet: A Lightweight Spatio-Temporal Enhancement Nested Network for Auditory Attention Detection Cunhang Fan, Xiaoke Yang, Hongyu Zhang, Ying Chen, Lu Li, Jian Zhou, Zhao Lv

ICLR 2025 MAP: Low-Compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He, Jie Fu, Yonghui Wu, Jiang Bian, Yong Chen, Yoshua Bengio

IJCAI 2025 MHANet: Multi-Scale Hybrid Attention Network for Auditory Attention Detection Lu Li, Cunhang Fan, Hongyu Zhang, Jingjing Zhang, Xiaoke Yang, Jian Zhou, Zhao Lv

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

ICLRW 2025 Rethinking Decentralized Learning: Towards More Realistic Evaluations with a Metadata-Agnostic Approach Tianyu Zhang, Lu Li, Tongtian Zhu, Suyuchen Wang, Can Wang, Yong Chen

AAAI 2025 Self-Explainable Graph Transformer for Link Sign Prediction Lu Li, Jiale Liu, Xingyu Ji, Maojun Wang, Zeyu Zhang

NeurIPS 2025 Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning Roger Creus Castanyer, Johan Obando-Ceron, Lu Li, Pierre-Luc Bacon, Glen Berseth, Aaron Courville, Pablo Samuel Castro

ICLR 2025 VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text Tianyu Zhang, Suyuchen Wang, Lu Li, Ge Zhang, Perouz Taslakian, Sai Rajeswar, Jie Fu, Bang Liu, Yoshua Bengio

NeurIPS 2024 DropEdge Not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks Zeyu Zhang, Lu Li, Shuyan Wan, Sijie Wang, Zhiyi Wang, Zhiyuan Lu, Dong Hao, Wanli Li

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

NeurIPSW 2024 MAP: Model Merging with Amortized Pareto Front Using Limited Computation Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He, Jie Fu, Yonghui Wu, Jiang Bian, Yong Chen, Yoshua Bengio

ICLR 2024 Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem Albert Xu, Jhih-Yi Hsieh, Bhaskar Vundurthy, Nithya Kemp, Eliana Cohen, Lu Li, Howie Choset

ICLR 2024 Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao

NeurIPSW 2024 VCR: Visual Caption Restoration Tianyu Zhang, Suyuchen Wang, Lu Li, Ge Zhang, Perouz Taslakian, Sai Rajeswar, Jie Fu, Bang Liu, Yoshua Bengio

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

AAAI 2023 READ: Large-Scale Neural Scene Rendering for Autonomous Driving Zhuopeng Li, Lu Li, Jianke Zhu