Xianyuan Zhan

Orcid: 0000-0002-3683-0554

Affiliations:
  • Tsinghua University, Beijing, China


According to our database1, Xianyuan Zhan authored at least 50 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Curriculum Goal-Conditioned Imitation for Offline Reinforcement Learning.
IEEE Trans. Games, March, 2024

Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning.
CoRR, 2024

Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies.
CoRR, 2024

Instruction-Guided Visual Masking.
CoRR, 2024

OMPO: A Unified Framework for RL under Policy and Dynamics Shifts.
CoRR, 2024

Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL.
CoRR, 2024

Policy Bifurcation in Safe Reinforcement Learning.
CoRR, 2024

DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning.
CoRR, 2024

A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents.
CoRR, 2024

TESLA: Thermally Safe, Load-Aware, and Energy-Efficient Cooling Control System for Data Centers.
Proceedings of the 53rd International Conference on Parallel Processing, 2024

Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

OpenChat: Advancing Open-source Language Models with Mixed-Quality Data.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Query-Policy Misalignment in Preference-Based Reinforcement Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
CSCAD: Correlation Structure-Based Collective Anomaly Detection in Complex System.
IEEE Trans. Knowl. Data Eng., May, 2023

ECoalVis: Visual Analysis of Control Strategies in Coal-fired Power Plants.
IEEE Trans. Vis. Comput. Graph., 2023

FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning.
CoRR, 2023

A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning.
CoRR, 2023

H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps.
CoRR, 2023

Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic.
CoRR, 2023

PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning.
CoRR, 2023

InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems.
CoRR, 2023

Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization.
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.
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Mind the Gap: Offline Policy Optimization for Imperfect Rewards.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

An Efficient Multi-Agent Optimization Approach for Coordinated Massive MIMO Beamforming.
Proceedings of the IEEE International Conference on Communications, 2023

Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Distance-Sensitive Offline Reinforcement Learning.
CoRR, 2022

A Policy-Guided Imitation Approach for Offline Reinforcement Learning.
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.
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.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations.
Proceedings of the International Conference on Machine Learning, 2022

Adversarial Contrastive Learning via Asymmetric InfoNCE.
Proceedings of the Computer Vision - ECCV 2022, 2022

Discriminator-Guided Model-Based Offline Imitation Learning.
Proceedings of the Conference on Robot Learning, 2022

DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Constraints Penalized Q-learning for Safe Offline Reinforcement Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
ModEL: A Modularized End-to-end Reinforcement Learning Framework for Autonomous Driving.
CoRR, 2021

Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information.
CoRR, 2021

Offline Reinforcement Learning with Soft Behavior Regularization.
CoRR, 2021

DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning.
CoRR, 2021

Network-Wide Traffic States Imputation Using Self-interested Coalitional Learning.
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.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019
A-RESCUE 2.0: A High-Fidelity, Parallel, Agent-Based Evacuation Simulator.
J. Comput. Civ. Eng., 2019

A Century of Topological Coevolution of Complex Infrastructure Networks in an Alpine City.
Complex., 2019

2017
Citywide Traffic Volume Estimation Using Trajectory Data.
IEEE Trans. Knowl. Data Eng., 2017

2016
A Graph-Based Approach to Measuring the Efficiency of an Urban Taxi Service System.
IEEE Trans. Intell. Transp. Syst., 2016

Understanding Social Influence in Activity Location Choice and Lifestyle Patterns Using Geolocation Data from Social Media.
Frontiers ICT, 2016

2013
Understanding urban human activity and mobility patterns using large-scale location-based data from online social media.
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing, 2013


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