Chen, Jiayu

20 publications

ICLR 2026 ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping Shuang Chen, Hangyu Guo, Yimeng Ye, Shijue Huang, Wenbo Hu, Jiayu Chen, Manyuan Zhang, Haoxi Li, Song Guo, Nanyun Peng

ICLR 2026 Bayes Adaptive Monte Carlo Tree Search for Offline Model-Based Reinforcement Learning Jiayu Chen, Le Xu, Wentse Chen, Jeff Schneider

ICLR 2026 Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning Aravind Venugopal, Jiayu Chen, Xudong Wu, Chongyi Zheng, Benjamin Eysenbach, Jeff Schneider

ICLR 2026 ToProVAR: Efficient Visual Autoregressive Modeling via Tri-Dimensional Entropy-Aware Semantic Analysis and Sparsity Optimization Jiayu Chen, Ruoyu Lin, Zihao Zheng, Jingxin Le, Maoliang Li, Guojie Luo, Xiang Chen

NeurIPS 2025 MALinZero: Efficient Low-Dimensional Search for Mastering Complex Multi-Agent Planning Sizhe Tang, Jiayu Chen, Tian Lan

UAI 2025 Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization Swetha Ganesh, Jiayu Chen, Washim Uddin Mondal, Vaneet Aggarwal

NeurIPS 2025 Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models Wentse Chen, Jiayu Chen, Fahim Tajwar, Hao Zhu, Xintong Duan, Ruslan Salakhutdinov, Jeff Schneider

IJCAI 2025 Variational Offline Multi-Agent Skill Discovery Jiayu Chen, Tian Lan, Vaneet Aggarwal

AAAI 2024 Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu

TMLR 2024 Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions Jiayu Chen, Bhargav Ganguly, Yang Xu, Yongsheng Mei, Tian Lan, Vaneet Aggarwal

NeurIPSW 2024 Fine-Tuning LLM Agents with Retrospective In-Context Online Learning Wentse Chen, Jiayu Chen, Fahim Tajwar, Hao Zhu, Xintong Duan, Russ Salakhutdinov, Jeff Schneider

TMLR 2024 Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries Swetha Ganesh, Jiayu Chen, Gugan Thoppe, Vaneet Aggarwal

AAAI 2024 M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis Ning Zhang, Hiuyi Cheng, Jiayu Chen, Zongyuan Jiang, Jun Huang, Yang Xue, Lianwen Jin

NeurIPS 2023 A Unified Algorithm Framework for Unsupervised Discovery of Skills Based on Determinantal Point Process Jiayu Chen, Vaneet Aggarwal, Tian Lan

ICCV 2023 Detection Transformer with Stable Matching Shilong Liu, Tianhe Ren, Jiayu Chen, Zhaoyang Zeng, Hao Zhang, Feng Li, Hongyang Li, Jun Huang, Hang Su, Jun Zhu, Lei Zhang

ICML 2023 Multi-Task Hierarchical Adversarial Inverse Reinforcement Learning Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal

ICCV 2023 Scale-Aware Modulation Meet Transformer Weifeng Lin, Ziheng Wu, Jiayu Chen, Jun Huang, Lianwen Jin

NeurIPS 2022 Scalable Multi-Agent Covering Option Discovery Based on Kronecker Graphs Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal

NeurIPS 2021 Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems Jiayu Chen, Yuanxin Zhang, Yuanfan Xu, Huimin Ma, Huazhong Yang, Jiaming Song, Yu Wang, Yi Wu

AAAI 2018 Community-Based Trip Sharing for Urban Commuting Mohd. Hafiz Hasan, Pascal Van Hentenryck, Ceren Budak, Jiayu Chen, Chhavi Chaudhry