Xianyuan Zhan

According to our database, Xianyuan Zhan authored at least 52 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Curriculum Goal-Conditioned Imitation for Offline Reinforcement Learning.

Xiaoyun Feng, Li Jiang, Xudong Yu, Haoran Xu, Xiaoyan Sun, Jie Wang, Xianyuan Zhan, Wai Kin Chan

IEEE Trans. Games, March, 2024

Robo-MUTUAL: Robotic Multimodal Task Specification via Unimodal Learning.

Jianxiong Li, Zhihao Wang, Jinliang Zheng, Xiaoai Zhou, Guanming Wang, Guanglu Song, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Junzhi Yu, Xianyuan Zhan

CoRR, 2024

xTED: Cross-Domain Policy Adaptation via Diffusion-Based Trajectory Editing.

Haoyi Niu, Qimao Chen, Tenglong Liu, Jianxiong Li, Guyue Zhou, Yi Zhang, Jianming Hu, Xianyuan Zhan

CoRR, 2024

Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning.

Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan, Amy Zhang

CoRR, 2024

Instruction-Guided Visual Masking.

Jinliang Zheng, Jianxiong Li, Sijie Cheng, Yinan Zheng, Jiaming Li, Jihao Liu, Yu Liu, Jingjing Liu, Xianyuan Zhan

CoRR, 2024

Policy Bifurcation in Safe Reinforcement Learning.

Wenjun Zou, Yao Lyu, Jie Li, Yujie Yang, Shengbo Eben Li, Jingliang Duan, Xianyuan Zhan, Jingjing Liu, Yaqin Zhang, Keqiang Li

CoRR, 2024

Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies.

Yu Luo, Fuchun Sun, Tianying Ji, Xianyuan Zhan

RLJ, 2024

A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents.

Haoyi Niu, Jianming Hu, Guyue Zhou, Xianyuan Zhan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

TESLA: Thermally Safe, Load-Aware, and Energy-Efficient Cooling Control System for Data Centers.

Hanfei Geng, Yi Sun, Yuanzhe Li, Jichao Leng, Xiangyu Zhu, Xianyuan Zhan, Yuanchun Li, Feng Zhao, Yunxin Liu

Proceedings of the 53rd International Conference on Parallel Processing, 2024

Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL.

Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

OMPO: A Unified Framework for RL under Policy and Dynamics Shifts.

Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic.

Tianying Ji, Yu Luo, Fuchun Sun, Xianyuan Zhan, Jianwei Zhang, Huazhe Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model.

Yinan Zheng, Jianxiong Li, Dongjie Yu, Yujie Yang, Shengbo Eben Li, Xianyuan Zhan, Jingjing Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

OpenChat: Advancing Open-source Language Models with Mixed-Quality Data.

Guan Wang, Sijie Cheng, Xianyuan Zhan, Xiangang Li, Sen Song, Yang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update.

Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Query-Policy Misalignment in Preference-Based Reinforcement Learning.

Xiao Hu, Jianxiong Li, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning.

Huiling Qin, Xianyuan Zhan, Yuanxun Li, Yu Zheng

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

CSCAD: Correlation Structure-Based Collective Anomaly Detection in Complex System.

Huiling Qin, Xianyuan Zhan, Yu Zheng

IEEE Trans. Knowl. Data Eng., May, 2023

ECoalVis: Visual Analysis of Control Strategies in Coal-fired Power Plants.

Shuhan Liu, Di Weng, Yuan Tian, Zikun Deng, Haoran Xu, Xiangyu Zhu, Honglei Yin, Xianyuan Zhan, Yingcai Wu

IEEE Trans. Vis. Comput. Graph., 2023

A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning.

Jianxiong Li, Shichao Lin, Tianyu Shi, Chujie Tian, Yu Mei, Jian Song, Xianyuan Zhan, Ruimin Li

CoRR, 2023

H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps.

Haoyi Niu, Tianying Ji, Bingqi Liu, Haocheng Zhao, Xiangyu Zhu, Jianying Zheng, Pengfei Huang, Guyue Zhou, Jianming Hu, Xianyuan Zhan

CoRR, 2023

PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning.

Jianxiong Li, Xiao Hu, Haoran Xu, Jingjing Liu, Xianyuan Zhan, Ya-Qin Zhang

CoRR, 2023

InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems.

Fang Wu, Huiling Qin, Siyuan Li, Stan Z. Li, Xianyuan Zhan, Jinbo Xu

CoRR, 2023

Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization.

Xiangsen Wang, Haoran Xu, Yinan Zheng, Xianyuan Zhan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL.

Peng Cheng, Xianyuan Zhan, Zhi-Hao Wu, Wenjia Zhang, Youfang Lin, Shoucheng Song, Han Wang, Li Jiang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization.

Haoran Xu, Li Jiang, Jianxiong Li, Zhuoran Yang, Zhaoran Wang, Wai Kin Victor Chan, Xianyuan Zhan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning.

Jianxiong Li, Xianyuan Zhan, Haoran Xu, Xiangyu Zhu, Jingjing Liu, Ya-Qin Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Mind the Gap: Offline Policy Optimization for Imperfect Rewards.

Jianxiong Li, Xiao Hu, Haoran Xu, Jingjing Liu, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

An Efficient Multi-Agent Optimization Approach for Coordinated Massive MIMO Beamforming.

Li Jiang, Xiangsen Wang, Aidong Yang, Xidong Wang, Xiaojia Jin, Wei Wang, Xiaozhou Ye, Ye Ouyang, Xianyuan Zhan

Proceedings of the IEEE International Conference on Communications, 2023

Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization.

Xiangsen Wang, Xianyuan Zhan

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Distance-Sensitive Offline Reinforcement Learning.

Jianxiong Li, Xianyuan Zhan, Haoran Xu, Xiangyu Zhu, Jingjing Liu, Ya-Qin Zhang

CoRR, 2022

A Policy-Guided Imitation Approach for Offline Reinforcement Learning.

Haoran Xu, Li Jiang, Jianxiong Li, Xianyuan Zhan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning.

Haoyi Niu, Shubham Sharma, Yiwen Qiu, Ming Li, Guyue Zhou, Jianming Hu, Xianyuan Zhan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Model-Based Offline Planning with Trajectory Pruning.

Xianyuan Zhan, Xiangyu Zhu, Haoran Xu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations.

Haoran Xu, Xianyuan Zhan, Honglei Yin, Huiling Qin

Proceedings of the International Conference on Machine Learning, 2022

Adversarial Contrastive Learning via Asymmetric InfoNCE.

Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

Discriminator-Guided Model-Based Offline Imitation Learning.

Wenjia Zhang, Haoran Xu, Haoyi Niu, Peng Cheng, Ming Li, Heming Zhang, Guyue Zhou, Xianyuan Zhan

Proceedings of the Conference on Robot Learning, 2022

DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning.

Xianyuan Zhan, Haoran Xu, Yue Zhang, Xiangyu Zhu, Honglei Yin, Yu Zheng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Constraints Penalized Q-learning for Safe Offline Reinforcement Learning.

Haoran Xu, Xianyuan Zhan, Xiangyu Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

ModEL: A Modularized End-to-end Reinforcement Learning Framework for Autonomous Driving.

Guan Wang, Haoyi Niu, Desheng Zhu, Jianming Hu, Xianyuan Zhan, Guyue Zhou

CoRR, 2021

Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information.

Jin Li, Xianyuan Zhan, Zixu Xiao, Guyue Zhou

CoRR, 2021

Offline Reinforcement Learning with Soft Behavior Regularization.

Haoran Xu, Xianyuan Zhan, Jianxiong Li, Honglei Yin

CoRR, 2021

DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning.

Xianyuan Zhan, Haoran Xu, Yue Zhang, Yusen Huo, Xiangyu Zhu, Honglei Yin, Yu Zheng

CoRR, 2021

Network-Wide Traffic States Imputation Using Self-interested Coalitional Learning.

Huiling Qin, Xianyuan Zhan, Yuanxun Li, Xiaodu Yang, Yu Zheng

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning.

Huiling Qin, Songyu Ke, Xiaodu Yang, Haoran Xu, Xianyuan Zhan, Yu Zheng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

A-RESCUE 2.0: A High-Fidelity, Parallel, Agent-Based Evacuation Simulator.

Hemant Gehlot, Xianyuan Zhan, Xinwu Qian, Christopher Thompson, Milind Kulkarni, Satish V. Ukkusuri

J. Comput. Civ. Eng., 2019

A Century of Topological Coevolution of Complex Infrastructure Networks in an Alpine City.

Jonatan Zischg, Christopher Klinkhamer, Xianyuan Zhan, P. Suresh C. Rao, Robert Sitzenfrei

Complex., 2019

2017

Citywide Traffic Volume Estimation Using Trajectory Data.

Xianyuan Zhan, Yu Zheng, Xiuwen Yi, Satish V. Ukkusuri

IEEE Trans. Knowl. Data Eng., 2017

2016

A Graph-Based Approach to Measuring the Efficiency of an Urban Taxi Service System.

Xianyuan Zhan, Xinwu Qian, Satish V. Ukkusuri

IEEE Trans. Intell. Transp. Syst., 2016

Understanding Social Influence in Activity Location Choice and Lifestyle Patterns Using Geolocation Data from Social Media.

Samiul Hasan, Satish V. Ukkusuri, Xianyuan Zhan

Frontiers ICT, 2016

2013

Understanding urban human activity and mobility patterns using large-scale location-based data from online social media.

Samiul Hasan, Xianyuan Zhan, Satish V. Ukkusuri

Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing, 2013