Haoran Xu

According to our database, Haoran Xu authored at least 26 papers between 2021 and 2025.

Collaborative distances:

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

2025

CRUISE: Cooperative Reconstruction and Editing in V2X Scenarios using Gaussian Splatting.

Haoran Xu, Saining Zhang, Peishuo Li, Baijun Ye, Xiaoxue Chen, Huan-ang Gao, Jv Zheng, Xiaowei Song, Ziqiao Peng, Run Miao, Jinrang Jia, Yifeng Shi, Guangqi Yi, Hang Zhao, Hao Tang, Hongyang Li, Kaicheng Yu, Hao Zhao

CoRR, July, 2025

Information-Theoretic Reward Decomposition for Generalizable RLHF.

Liyuan Mao, Haoran Xu, Amy Zhang, Weinan Zhang, Chenjia Bai

CoRR, April, 2025

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning.

Haoran Xu, Shuozhe Li, Harshit Sikchi, Scott Niekum, Amy Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

RGM: Reconstructing High-fidelity 3D Car Assets with Relightable 3D-GS Generative Model from a Single Image.

Xiaoxue Chen, Jv Zheng, Hao Huang, Haoran Xu, Weihao Gu, Kangliang Chen, Xiang He, Huan-ang Gao, Hao Zhao, Guyue Zhou, Ya-Qin Zhang

CoRR, 2024

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

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FairDiff: Fair Segmentation with Point-Image Diffusion.

Wenyi Li, Haoran Xu, Guiyu Zhang, Huan-ang Gao, Mingju Gao, Mengyu Wang, Hao Zhao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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

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

Offline Reinforcement Learning with Imbalanced Datasets.

Li Jiang, Sijie Chen, Jielin Qiu, Haoran Xu, Wai Kin Chan, Zhao Ding

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

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

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

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

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

Multi-memory Enhanced Separation Network for Indoor Temperature Prediction.

Zhewen Duan, Xiuwen Yi, Peng Li, Dekang Qi, Yexin Li, Haoran Xu, Yanyong Huang, Junbo Zhang, Yu Zheng

Proceedings of the Database Systems for Advanced Applications, 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

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

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