Zheng, Yan

70 publications

NeurIPS 2025 COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space Pengyi Li, Hongyao Tang, Yifu Yuan, Jianye Hao, Zibin Dong, Yan Zheng

NeurIPS 2025 LaRes: Evolutionary Reinforcement Learning with LLM-Based Adaptive Reward Search Pengyi Li, Hongyao Tang, Jinbin Qiao, Yan Zheng, Jianye Hao

ICML 2025 R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models Pengyi Li, Jianye Hao, Hongyao Tang, Yifu Yuan, Jinbin Qiao, Zibin Dong, Yan Zheng

ICCV 2025 RoboAnnotatorX: A Comprehensive and Universal Annotation Framework for Accurate Understanding of Long-Horizon Robot Demonstration Longxin Kou, Fei Ni, Yan Zheng, Peilong Han, Jinyi Liu, Haiqin Cui, Rui Liu, Jianye Hao

AAAI 2024 A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning Tianpei Yang, Heng You, Jianye Hao, Yan Zheng, Matthew E. Taylor

ICLR 2024 AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu

ICMLW 2024 CPeSFA: Empowering SFs for Policy Learning and Transfer in Continuous Action Spaces Yining Li, Tianpei Yang, Wei Guo, Jianye Hao, Yan Zheng

NeurIPS 2024 CleanDiffuser: An Easy-to-Use Modularized Library for Diffusion Models in Decision Making Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yi Ma, Pengyi Li, Yan Zheng

IJCAI 2024 Cross-View Contrastive Fusion for Enhanced Molecular Property Prediction Yan Zheng, Song Wu, Junyu Lin, Yazhou Ren, Jing He, Xiaorong Pu, Lifang He

NeurIPS 2024 DiffuserLite: Towards Real-Time Diffusion Planning Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, Yan Zheng

IJCAI 2024 Dynamic Weighted Graph Fusion for Deep Multi-View Clustering Yazhou Ren, Jingyu Pu, Chenhang Cui, Yan Zheng, Xinyue Chen, Xiaorong Pu, Lifang He

IJCAI 2024 ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng

ICML 2024 Enhancing Implicit Shape Generators Using Topological Regularizations Liyan Chen, Yan Zheng, Yang Li, Lohit Anirudh Jagarapu, Haoxiang Li, Hao Kang, Gang Hua, Qixing Huang

ICML 2024 EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search Pengyi Li, Yan Zheng, Hongyao Tang, Xian Fu, Jianye Hao

CVPR 2024 Generate Subgoal Images Before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts Fei Ni, Jianye Hao, Shiguang Wu, Longxin Kou, Jiashun Liu, Yan Zheng, Bin Wang, Yuzheng Zhuang

NeurIPSW 2024 HuLE-Nav: Human-like Exploration for Zero-Shot Object Navigation via Vision-Language Models Peilong Han, Min Zhang, Jianye Hao, Hongyao Tang, Yan Zheng

UAI 2024 Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-Based Monte Carlo Tree Search Jiashun Liu, Xiaotian Hao, Jianye Hao, Yan Zheng, Yujing Hu, Changjie Fan, Tangjie Lv, Zhipeng Hu

ICML 2024 Improving Neural Logic Machines via Failure Reflection Zhiming Li, Yushi Cao, Yan Zheng, Xu Liu, Bozhi Wu, Tianlin Li, Xiufeng Xu, Junzhe Jiang, Yon Shin Teo, Shang-Wei Lin, Yang Liu

NeurIPS 2024 Iteratively Refined Behavior Regularization for Offline Reinforcement Learning Yi Ma, Jianye Hao, Xiaohan Hu, Yan Zheng, Chenjun Xiao

ICML 2024 KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations Longxin Kou, Fei Ni, Yan Zheng, Jinyi Liu, Yifu Yuan, Zibin Dong, Jianye Hao

ICMLW 2024 Minimax Tree of Thoughts: Playing Two-Player Zero-Sum Sequential Games with Large Language Models Wei Guo, Xiaotian Hao, Jianye Hao, Yan Zheng

AAAI 2024 Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces Xiaotian Hao, Jianye Hao, Chenjun Xiao, Kai Li, Dong Li, Yan Zheng

AAAI 2024 OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun

NeurIPS 2024 PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation Fei Ni, Jianye Hao, Shiguang Wu, Longxin Kou, Yifu Yuan, Zibin Dong, Jinyi Liu, Mingzhi Li, Yuzheng Zhuang, Yan Zheng

AAAI 2024 PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor

NeurIPSW 2024 Self-Supervised Bisimulation Action Chunk Representation for Efficient RL Lei Shi, Jianye Hao, Hongyao Tang, Zibin Dong, Yan Zheng

NeurIPSW 2024 Self-Supervised Bisimulation Action Chunk Representation for Efficient RL Lei Shi, Jianye Hao, Hongyao Tang, Zibin Dong, Yan Zheng

ICMLW 2024 SheetAgent: A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models Yibin Chen, Yifu Yuan, Zeyu Zhang, Yan Zheng, Jinyi Liu, Fei Ni, Jianye Hao

ICLR 2024 Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback Yifu Yuan, Jianye Hao, Yi Ma, Zibin Dong, Hebin Liang, Jinyi Liu, Zhixin Feng, Kai Zhao, Yan Zheng

NeurIPS 2024 Unlock the Intermittent Control Ability of Model Free Reinforcement Learning Jiashun Liu, Jianye Hao, Xiaotian Hao, Yi Ma, Yan Zheng, Yujing Hu, Tangji Lv

ICML 2024 Value-Evolutionary-Based Reinforcement Learning Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Fazl Barez

ICMLW 2023 A Policy-Decoupled Method for High-Quality Data Augmentation in Offline Reinforcement Learning Shixi Lian, Yi Ma, Jinyi Liu, Jianye Hao, Yan Zheng, Zhaopeng Meng

ICLR 2023 Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks Jianye Hao, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang

ICMLW 2023 Boosting Off-Policy RL with Policy Representation and Policy-Extended Value Function Approximator Min Zhang, Jianye Hao, Hongyao Tang, Yan Zheng

ICLR 2023 ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation Jianye Hao, Pengyi Li, Hongyao Tang, Yan Zheng, Xian Fu, Zhaopeng Meng

ICLR 2023 EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-Choice Dynamics Model Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan

IJCAI 2023 Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao

ICMLW 2023 Improving Offline-to-Online Reinforcement Learning with Q-Ensembles Kai Zhao, Yi Ma, Jinyi Liu, Jianye Hao, Yan Zheng, Zhaopeng Meng

ICLR 2023 Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization Prince Osei Aboagye, Yan Zheng, Jack Shunn, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff Phillips

NeurIPSW 2023 Iteratively Refined Behavior Regularization for Offline Reinforcement Learning Xiaohan Hu, Yi Ma, Chenjun Xiao, Yan Zheng, Jianye Hao

ICMLW 2023 Limited Information Opponent Modeling Yongliang Lv, Yan Zheng, Jianye Hao

ICML 2023 MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang

ICLR 2023 Neural Episodic Control with State Abstraction Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao

NeurIPSW 2023 PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning Hao Zhang, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor

IJCAI 2023 Probabilistic Masked Attention Networks for Explainable Sequential Recommendation Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang

ICML 2023 RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu

ECML-PKDD 2023 Spatial-Temporal Graph Sandwich Transformer for Traffic Flow Forecasting Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Liang Wang, Zhongfang Zhuang, Junpeng Wang, Xin Dai, Yan Zheng, Wei Zhang

UAI 2022 Cross-Domain Adaptive Transfer Reinforcement Learning Based on State-Action Correspondence Heng You, Tianpei Yang, Yan Zheng, Jianye Hao, E. Taylor

NeurIPSW 2022 ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation Pengyi Li, Hongyao Tang, Jianye Hao, Yan Zheng, Xian Fu, Zhaopeng Meng

NeurIPSW 2022 EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-Choice Dynamics Model Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan

NeurIPS 2022 GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu

ICLR 2022 HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang

NeurIPSW 2022 Neural Volumetric Mesh Generator Yan Zheng, Lemeng Wu, Xingchao Liu, Zhen Chen, Qiang Liu, Qixing Huang

ICLR 2022 Normalization of Language Embeddings for Cross-Lingual Alignment Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang, Jeff Phillips

ICLRW 2022 PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations Sang Tong, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang

IJCAI 2022 PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang

ICML 2022 PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang

NeurIPSW 2022 Towards a Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes Min Zhang, Hongyao Tang, Jianye Hao, Yan Zheng

NeurIPSW 2022 A Unified Framework to Understand Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective Xinwei Zhang, Nicola Elia, Mingyi Hong

NeurIPSW 2021 HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang

NeurIPSW 2021 OVD-Explorer: A General Information-Theoretic Exploration Approach for Reinforcement Learning Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Junjie Ye, Chenjia Bai, Pengyi Li

AAAI 2020 Accurate Structured-Text Spotting for Arithmetical Exercise Correction Yiqing Hu, Yan Zheng, Hao Liu, Deqiang Jiang, Yinsong Liu, Bo Ren

AAAI 2020 Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management Jianwen Sun, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yang Liu

IJCAI 2020 Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning Ruimin Shen, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yingfeng Chen, Changjie Fan, Yang Liu

IJCAI 2020 KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng

AAAI 2020 Stealthy and Efficient Adversarial Attacks Against Deep Reinforcement Learning Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu

IJCAI 2019 Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework Yaodong Yang, Jianye Hao, Yan Zheng, Chao Yu

IJCAI 2019 Towards Efficient Detection and Optimal Response Against Sophisticated Opponents Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng

NeurIPS 2018 A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang, Tianpei Yang, Changjie Fan

ALT 2015 Subsampling in Smoothed Range Spaces Jeff M. Phillips, Yan Zheng