Chongjie Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
54
Venues
10
Active years
2007–2025
Best venue rank
A*
Where they publish
Papers
54 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models. | Han Liu, Ruoyao Wen, Srijith Nair, Jia Liu, Wenjing Lou, Chongjie Zhang, William Yeoh, Yevgeniy Vorobeychik, Ning Zhang |
| 2025 | ICLR | Episodic Novelty Through Temporal Distance. | Yuhua Jiang, Qihan Liu, Yiqin Yang, Xiaoteng Ma, Dianyu Zhong, Hao Hu, Jun Yang, Bin Liang, Bo Xu, Chongjie Zhang, Qianchuan Zhao |
| 2025 | ICLR | Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset. | Yiqin Yang, Quanwei Wang, Chenghao Li, Hao Hu, Chengjie Wu, Yuhua Jiang, Dianyu Zhong, Ziyou Zhang, Qianchuan Zhao, Chongjie Zhang, Bo Xu |
| 2025 | ICLR | Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving. | Jin Zhang, Flood Sung, Zhilin Yang, Yang Gao, Chongjie Zhang |
| 2025 | ICML | Enhancing Decision-Making of Large Language Models via Actor-Critic. | Heng Dong, Kefei Duan, Chongjie Zhang |
| 2025 | ICML | Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks. | Luise Ge, Michael Lanier, Anindya Sarkar, Bengisu Guresti, Chongjie Zhang, Yevgeniy Vorobeychik |
| 2024 | ICLR | Towards Robust Offline Reinforcement Learning under Diverse Data Corruption. | Rui Yang, Han Zhong, Jiawei Xu, Amy Zhang, Chongjie Zhang, Lei Han, Tong Zhang |
| 2024 | ICLR | Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design. | Heng Dong, Junyu Zhang, Chongjie Zhang |
| 2024 | ICLR | Imitation Learning from Observation with Automatic Discount Scheduling. | Yuyang Liu, Weijun Dong, Yingdong Hu, Chuan Wen, Zhao-Heng Yin, Chongjie Zhang, Yang Gao |
| 2024 | ICLR | Efficient Multi-agent Reinforcement Learning by Planning. | Qihan Liu, Jianing Ye, Xiaoteng Ma, Jun Yang, Bin Liang, Chongjie Zhang |
| 2024 | ICLR | Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets. | Yihuan Mao, Chengjie Wu, Xi Chen, Hao Hu, Ji Jiang, Tianze Zhou, Tangjie Lv, Changjie Fan, Zhipeng Hu, Yi Wu, Yujing Hu, Chongjie Zhang |
| 2024 | ICML | Bayesian Design Principles for Offline-to-Online Reinforcement Learning. | Hao Hu, Yiqin Yang, Jianing Ye, Chengjie Wu, Ziqing Mai, Yujing Hu, Tangjie Lv, Changjie Fan, Qianchuan Zhao, Chongjie Zhang |
| 2024 | ICML | Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners. | Chengjie Wu, Hao Hu, Yiqin Yang, Ning Zhang, Chongjie Zhang |
| 2024 | ICMLA | Learning Interpretable Policies in Hindsight-Observable POMDPs Through Partially Supervised Reinforcement Learning. | Michael Lanier, Ying Xu, Nathan Jacobs, Chongjie Zhang, Yevgeniy Vorobeychik |
| 2024 | IJCAI | STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations. | Chao Li, Yujing Hu, Shangdong Yang, Tangjie Lv, Changjie Fan, Wenbin Li, Chongjie Zhang, Yang Gao |
| 2023 | AAAI | Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery. | Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang |
| 2023 | ICLR | The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning. | Hao Hu, Yiqin Yang, Qianchuan Zhao, Chongjie Zhang |
| 2023 | ICML | Symmetry-Aware Robot Design with Structured Subgroups. | Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang |
| 2023 | ICML | Offline Meta Reinforcement Learning with In-Distribution Online Adaptation. | Jianhao Wang, Jin Zhang, Haozhe Jiang, Junyu Zhang, Liwei Wang, Chongjie Zhang |
| 2023 | ICML | What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? | Rui Yang, Lin Yong, Xiaoteng Ma, Hao Hu, Chongjie Zhang, Tong Zhang |
| 2023 | IROS | Learning to Solve Tasks with Exploring Prior Behaviours. | Ruiqi Zhu, Siyuan Li, Tianhong Dai, Chongjie Zhang, Oya eliktutan |
| 2022 | AAAI | Multi-Agent Incentive Communication via Decentralized Teammate Modeling. | Lei Yuan, Jianhao Wang, Fuxiang Zhang, Chenghe Wang, Zongzhang Zhang, Yang Yu, Chongjie Zhang |
| 2022 | ICLR | Context-Aware Sparse Deep Coordination Graphs. | Tonghan Wang, Liang Zeng, Weijun Dong, Qianlan Yang, Yang Yu, Chongjie Zhang |
| 2022 | ICLR | Active Hierarchical Exploration with Stable Subgoal Representation Learning. | Siyuan Li, Jin Zhang, Jianhao Wang, Yang Yu, Chongjie Zhang |
| 2022 | ICLR | Offline Reinforcement Learning with Value-based Episodic Memory. | Xiaoteng Ma, Yiqin Yang, Hao Hu, Jun Yang, Chongjie Zhang, Qianchuan Zhao, Bin Liang, Qihan Liu |
| 2022 | ICLR | Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL. | Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang |
| 2022 | ICML | On the Role of Discount Factor in Offline Reinforcement Learning. | Hao Hu, Yiqin Yang, Qianchuan Zhao, Chongjie Zhang |
| 2022 | ICML | Individual Reward Assisted Multi-Agent Reinforcement Learning. | Li Wang, Yupeng Zhang, Yujing Hu, Weixun Wang, Chongjie Zhang, Yang Gao, Jianye Hao, Tangjie Lv, Changjie Fan |
| 2022 | ICML | Self-Organized Polynomial-Time Coordination Graphs. | Qianlan Yang, Weijun Dong, Zhizhou Ren, Jianhao Wang, Tonghan Wang, Chongjie Zhang |
| 2022 | IJCAI | Multi-Agent Concentrative Coordination with Decentralized Task Representation. | Lei Yuan, Chenghe Wang, Jianhao Wang, Fuxiang Zhang, Feng Chen, Cong Guan, Zongzhang Zhang, Chongjie Zhang, Yang Yu |
| 2021 | ICLR | RODE: Learning Roles to Decompose Multi-Agent Tasks. | Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang |
| 2021 | ICLR | Learning Subgoal Representations with Slow Dynamics. | Siyuan Li, Lulu Zheng, Jianhao Wang, Chongjie Zhang |
| 2021 | ICLR | DOP: Off-Policy Multi-Agent Decomposed Policy Gradients. | Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang |
| 2021 | ICLR | QPLEX: Duplex Dueling Multi-Agent Q-Learning. | Jianhao Wang, Zhizhou Ren, Terry Liu, Yang Yu, Chongjie Zhang |
| 2021 | ICML | Generalizable Episodic Memory for Deep Reinforcement Learning. | Hao Hu, Jianing Ye, Guangxiang Zhu, Zhizhou Ren, Chongjie Zhang |
| 2021 | ICML | MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration. | Jin Zhang, Jianhao Wang, Hao Hu, Tong Chen, Yingfeng Chen, Changjie Fan, Chongjie Zhang |
| 2021 | IJCAI | Reward-Constrained Behavior Cloning. | Zhaorong Wang, Meng Wang, Jingqi Zhang, Yingfeng Chen, Chongjie Zhang |
| 2020 | AAAI | Object-Oriented Dynamics Learning through Multi-Level Abstraction. | Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Zichuan Lin, Chongjie Zhang |
| 2020 | CHI | Modeling Trust Dynamics in Human-robot Teaming: A Bayesian Inference Approach. | Yaohui Guo, Chongjie Zhang, X. Jessie Yang |
| 2020 | ICLR | Influence-Based Multi-Agent Exploration. | Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang |
| 2020 | ICLR | Learning Nearly Decomposable Value Functions Via Communication Minimization. | Tonghan Wang, Jianhao Wang, Chongyi Zheng, Chongjie Zhang |
| 2020 | ICLR | Episodic Reinforcement Learning with Associative Memory. | Guangxiang Zhu, Zichuan Lin, Guangwen Yang, Chongjie Zhang |
| 2020 | ICML | ROMA: Multi-Agent Reinforcement Learning with Emergent Roles. | Tonghan Wang, Heng Dong, Victor R. Lesser, Chongjie Zhang |
| 2019 | IJCAI | Towards Efficient Detection and Optimal Response against Sophisticated Opponents. | Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng |
| 2018 | AAAI | An Optimal Online Method of Selecting Source Policies for Reinforcement Learning. | Siyuan Li, Chongjie Zhang |
| 2016 | IJCAI | Co-Optimizating Multi-Agent Placement with Task Assignment and Scheduling. | Chongjie Zhang, Julie A. Shah |
| 2016 | IROS | Co-optimizing task and motion planning. | Chongjie Zhang, Julie A. Shah |
| 2015 | AAAI | On Fairness in Decision-Making under Uncertainty: Definitions, Computation, and Comparison. | Chongjie Zhang, Julie A. Shah |
| 2014 | AAAI | Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs. | Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Shlomo Zilberstein, Chongjie Zhang |
| 2011 | AAAI | Coordinated Multi-Agent Reinforcement Learning in Networked Distributed POMDPs. | Chongjie Zhang, Victor R. Lesser |
| 2010 | AAAI | Multi-Agent Learning with Policy Prediction. | Chongjie Zhang, Victor R. Lesser |
| 2009 | IAAI | An Ensemble Learning and Problem Solving Architecture for Airspace Management. | Xiaoqin Zhang, Sung Wook Yoon, Phillip DiBona, Darren Scott Appling, Li Ding, Janardhan Rao Doppa, Derek T. Green, Jinhong K. Guo, Ugur Kuter, Geoffrey Levine, Reid MacTavish, Daniel McFarlane, James Michaelis, Hala Mostafa, Santiago Ontan, Charles Parker, Jainarayan Radhakrishnan, Antons Rebguns, Bhavesh Shrestha, Zhexuan Song, Ethan Trewhitt, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Gerald DeJong, Thomas G. Dietterich, Subbarao Kambhampati, Victor R. Lesser, Deborah L. McGuinness, Ashwin Ram, Diana F. Spears, Prasad Tadepalli, Elizabeth T. Whitaker, Weng-Keen Wong, James A. Hendler, Martin O. Hofmann, Kenneth R. Whitebread |
| 2009 | IJCAI | A Multi-Agent Learning Approach to Online Distributed Resource Allocation. | Chongjie Zhang, Victor R. Lesser, Prashant J. Shenoy |
| 2007 | HPDC | A workflow approach to designed reservoir study. | Gabrielle Allen, Promita Chakraborty, Dayong Huang, Zhou Lei, John Lewis, Xin Li, Christopher D. White, Xiaoxi Xu, Chongjie Zhang |