Xianyuan Zhan

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 66

Top Topics

Traffic Signal Control

Reinforcement Learning

Generating Units

Top Venues

Publications

Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan, Amy Zhang
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning. CoRR (2024)
Guan Wang, Sijie Cheng, Xianyuan Zhan, Xiangang Li, Sen Song, Yang Liu
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data. ICLR (2024)
Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan
ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update. ICLR (2024)
Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan
OMPO: A Unified Framework for RL under Policy and Dynamics Shifts. CoRR (2024)
Yinan Zheng, Jianxiong Li, Dongjie Yu, Yujie Yang, Shengbo Eben Li, Xianyuan Zhan, Jingjing Liu
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model. ICLR (2024)
Yinan Zheng, Jianxiong Li, Dongjie Yu, Yujie Yang, Shengbo Eben Li, Xianyuan Zhan, Jingjing Liu
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model. CoRR (2024)
Yu Luo, Fuchun Sun, Tianying Ji, Xianyuan Zhan
Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies. CoRR (2024)
Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan
ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update. CoRR (2024)
Haoyi Niu, Jianming Hu, Guyue Zhou, Xianyuan Zhan
A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents. CoRR (2024)
Jinliang Zheng, Jianxiong Li, Sijie Cheng, Yinan Zheng, Jiaming Li, Jihao Liu, Yu Liu, Jingjing Liu, Xianyuan Zhan
Instruction-Guided Visual Masking. CoRR (2024)
Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL. CoRR (2024)
Jianxiong Li, Jinliang Zheng, Yinan Zheng, Liyuan Mao, Xiao Hu, Sijie Cheng, Haoyi Niu, Jihao Liu, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan
DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning. CoRR (2024)
Wenjun Zou, Yao Lyu, Jie Li, Yujie Yang, Shengbo Eben Li, Jingliang Duan, Xianyuan Zhan, Jingjing Liu, Yaqin Zhang, Keqiang Li
Policy Bifurcation in Safe Reinforcement Learning. CoRR (2024)
Hanfei Geng, Yi Sun, Yuanzhe Li, Jichao Leng, Xiangyu Zhu, Xianyuan Zhan, Yuanchun Li, Feng Zhao, Yunxin Liu
TESLA: Thermally Safe, Load-Aware, and Energy-Efficient Cooling Control System for Data Centers. ICPP (2024)
Xiaoyun Feng, Li Jiang, Xudong Yu, Haoran Xu, Xiaoyan Sun, Jie Wang, Xianyuan Zhan, Wai Kin Chan
Curriculum Goal-Conditioned Imitation for Offline Reinforcement Learning. IEEE Trans. Games 16 (1) (2024)
Xiao Hu, Jianxiong Li, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang
Query-Policy Misalignment in Preference-Based Reinforcement Learning. ICLR (2024)
Shuhan Liu, Di Weng, Yuan Tian, Zikun Deng, Haoran Xu, Xiangyu Zhu, Honglei Yin, Xianyuan Zhan, Yingcai Wu
ECoalVis: Visual Analysis of Control Strategies in Coal-fired Power Plants. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Xiangsen Wang, Xianyuan Zhan
Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization. AAMAS (2023)
Haoran Xu, Li Jiang, Jianxiong Li, Zhuoran Yang, Zhaoran Wang, Wai Kin Victor Chan, Xianyuan Zhan
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization. CoRR (2023)
Jianxiong Li, Xiao Hu, Haoran Xu, Jingjing Liu, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang
Mind the Gap: Offline Policy Optimization for Imperfect Rewards. ICLR (2023)
Haoyi Niu, Tianying Ji, Bingqi Liu, Haocheng Zhao, Xiangyu Zhu, Jianying Zheng, Pengfei Huang, Guyue Zhou, Jianming Hu, Xianyuan Zhan
H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps. CoRR (2023)
Guan Wang, Sijie Cheng, Xianyuan Zhan, Xiangang Li, Sen Song, Yang Liu
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data. CoRR (2023)
Huiling Qin, Xianyuan Zhan, Yu Zheng
CSCAD: Correlation Structure-Based Collective Anomaly Detection in Complex System. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Peng Cheng, Xianyuan Zhan, Zhihao Wu, Wenjia Zhang, Shoucheng Song, Han Wang, Youfang Lin, Li Jiang
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL. CoRR (2023)
Jianxiong Li, Shichao Lin, Tianyu Shi, Chujie Tian, Yu Mei, Jian Song, Xianyuan Zhan, Ruimin Li
A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning. CoRR (2023)
Fang Wu, Huiling Qin, Siyuan Li, Stan Z. Li, Xianyuan Zhan, Jinbo Xu
InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems. CoRR (2023)
Xiangsen Wang, Haoran Xu, Yinan Zheng, Xianyuan Zhan
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization. CoRR (2023)
Jianxiong Li, Xianyuan Zhan, Haoran Xu, Xiangyu Zhu, Jingjing Liu, Ya-Qin Zhang
When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning. ICLR (2023)
Li Jiang, Xiangsen Wang, Aidong Yang, Xidong Wang, Xiaojia Jin, Wei Wang, Xiaozhou Ye, Ye Ouyang, Xianyuan Zhan
An Efficient Multi-Agent Optimization Approach for Coordinated Massive MIMO Beamforming. ICC (2023)
Haoran Xu, Li Jiang, Jianxiong Li, Zhuoran Yang, Zhaoran Wang, Wai Kin Victor Chan, Xianyuan Zhan
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization. ICLR (2023)
Xiangsen Wang, Xianyuan Zhan
Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization. CoRR (2023)
Xiangsen Wang, Haoran Xu, Yinan Zheng, Xianyuan Zhan
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization. NeurIPS (2023)
Jianxiong Li, Xiao Hu, Haoran Xu, Jingjing Liu, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang
Mind the Gap: Offline Policy Optimization for Imperfect Rewards. CoRR (2023)
Xiao Hu, Jianxiong Li, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang
Query-Policy Misalignment in Preference-Based Reinforcement Learning. CoRR (2023)
Huiling Qin, Xianyuan Zhan, Yuanxun Li, Yu Zheng
FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning. CoRR (2023)
Tianying Ji, Yu Luo, Fuchun Sun, Xianyuan Zhan, Jianwei Zhang, Huazhe Xu
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic. CoRR (2023)
Peng Cheng, Xianyuan Zhan, Zhi-Hao Wu, Wenjia Zhang, Youfang Lin, Shoucheng Song, Han Wang, Li Jiang
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL. NeurIPS (2023)
Jianxiong Li, Xiao Hu, Haoran Xu, Jingjing Liu, Xianyuan Zhan, Ya-Qin Zhang
PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning. CoRR (2023)
Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu
Adversarial Contrastive Learning via Asymmetric InfoNCE. ECCV (5) (2022)
Haoyi Niu, Shubham Sharma, Yiwen Qiu, Ming Li, Guyue Zhou, Jianming Hu, Xianyuan Zhan
When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning. CoRR (2022)
Haoran Xu, Xianyuan Zhan, Honglei Yin, Huiling Qin
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations. CoRR (2022)
Haoran Xu, Xianyuan Zhan, Honglei Yin, Huiling Qin
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations. ICML (2022)
Xianyuan Zhan, Xiangyu Zhu, Haoran Xu
Model-Based Offline Planning with Trajectory Pruning. IJCAI (2022)
Jianxiong Li, Xianyuan Zhan, Haoran Xu, Xiangyu Zhu, Jingjing Liu, Ya-Qin Zhang
Distance-Sensitive Offline Reinforcement Learning. CoRR (2022)
Haoyi Niu, Shubham Sharma, Yiwen Qiu, Ming Li, Guyue Zhou, Jianming Hu, Xianyuan Zhan
When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning. NeurIPS (2022)
Xianyuan Zhan, Haoran Xu, Yue Zhang, Xiangyu Zhu, Honglei Yin, Yu Zheng
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning. AAAI (2022)
Haoran Xu, Li Jiang, Jianxiong Li, Xianyuan Zhan
A Policy-Guided Imitation Approach for Offline Reinforcement Learning. CoRR (2022)
Haoran Xu, Xianyuan Zhan, Xiangyu Zhu
Constraints Penalized Q-learning for Safe Offline Reinforcement Learning. AAAI (2022)
Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu
Adversarial Contrastive Learning via Asymmetric InfoNCE. CoRR (2022)
Wenjia Zhang, Haoran Xu, Haoyi Niu, Peng Cheng, Ming Li, Heming Zhang, Guyue Zhou, Xianyuan Zhan
Discriminator-Guided Model-Based Offline Imitation Learning. CoRL (2022)
Haoran Xu, Li Jiang, Jianxiong Li, Xianyuan Zhan
A Policy-Guided Imitation Approach for Offline Reinforcement Learning. NeurIPS (2022)
Wenjia Zhang, Haoran Xu, Haoyi Niu, Peng Cheng, Ming Li, Heming Zhang, Guyue Zhou, Xianyuan Zhan
Discriminator-Guided Model-Based Offline Imitation Learning. CoRR (2022)
Guan Wang, Haoyi Niu, Desheng Zhu, Jianming Hu, Xianyuan Zhan, Guyue Zhou
ModEL: A Modularized End-to-end Reinforcement Learning Framework for Autonomous Driving. CoRR (2021)
Huiling Qin, Xianyuan Zhan, Yuanxun Li, Xiaodu Yang, Yu Zheng
Network-Wide Traffic States Imputation Using Self-interested Coalitional Learning. KDD (2021)
Huiling Qin, Xianyuan Zhan, Yu Zheng
CSCAD: Correlation Structure-based Collective Anomaly Detection in Complex System. CoRR (2021)
Haoran Xu, Xianyuan Zhan, Xiangyu Zhu
Constraints Penalized Q-Learning for Safe Offline Reinforcement Learning. CoRR (2021)
Jin Li, Xianyuan Zhan, Zixu Xiao, Guyue Zhou
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information. CoRR (2021)
Huiling Qin, Songyu Ke, Xiaodu Yang, Haoran Xu, Xianyuan Zhan, Yu Zheng
Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning. AAAI (2021)
Haoran Xu, Xianyuan Zhan, Jianxiong Li, Honglei Yin
Offline Reinforcement Learning with Soft Behavior Regularization. CoRR (2021)
Xianyuan Zhan, Xiangyu Zhu, Haoran Xu
Model-Based Offline Planning with Trajectory Pruning. CoRR (2021)
Xianyuan Zhan, Haoran Xu, Yue Zhang, Yusen Huo, Xiangyu Zhu, Honglei Yin, Yu Zheng
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning. CoRR (2021)
Jonatan Zischg, Christopher Klinkhamer, Xianyuan Zhan, P. Suresh C. Rao, Robert Sitzenfrei
A Century of Topological Coevolution of Complex Infrastructure Networks in an Alpine City. Complex. 2019 (2019)
Hemant Gehlot, Xianyuan Zhan, Xinwu Qian, Christopher Thompson, Milind Kulkarni, Satish V. Ukkusuri
A-RESCUE 2.0: A High-Fidelity, Parallel, Agent-Based Evacuation Simulator. J. Comput. Civ. Eng. 33 (2) (2019)
Xianyuan Zhan, Yu Zheng, Xiuwen Yi, Satish V. Ukkusuri
Citywide Traffic Volume Estimation Using Trajectory Data. IEEE Trans. Knowl. Data Eng. 29 (2) (2017)
Samiul Hasan, Satish V. Ukkusuri, Xianyuan Zhan
Understanding Social Influence in Activity Location Choice and Lifestyle Patterns Using Geolocation Data from Social Media. Frontiers ICT 3 (2016)
Xianyuan Zhan, Xinwu Qian, Satish V. Ukkusuri
A Graph-Based Approach to Measuring the Efficiency of an Urban Taxi Service System. IEEE Trans. Intell. Transp. Syst. 17 (9) (2016)
Samiul Hasan, Xianyuan Zhan, Satish V. Ukkusuri
Understanding urban human activity and mobility patterns using large-scale location-based data from online social media. UrbComp@KDD (2013)