Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning. - Huiling Qin; Songyu Ke; Xiaodu Yang; Haoran Xu 003; Xianyuan Zhan; Yu Zheng 004 (AAAI, 2021)

DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning. - Xianyuan Zhan; Haoran Xu 003; Yue Zhang; Yusen Huo; Xiangyu Zhu; Honglei Yin; Yu Zheng 004 (CoRR, 2021)

Offline Reinforcement Learning with Soft Behavior Regularization. - Haoran Xu 003; Xianyuan Zhan; Jianxiong Li; Honglei Yin (CoRR, 2021)

Constraints Penalized Q-learning for Safe Offline Reinforcement Learning. - Haoran Xu 003; Xianyuan Zhan; Xiangyu Zhu (AAAI, 2022)

DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning. - Xianyuan Zhan; Haoran Xu 003; Yue Zhang; Xiangyu Zhu; Honglei Yin; Yu Zheng 004 (AAAI, 2022)

Discriminator-Guided Model-Based Offline Imitation Learning. - Wenjia Zhang; Haoran Xu 003; Haoyi Niu; Peng Cheng 013; Ming Li; Heming Zhang 001; Guyue Zhou; Xianyuan Zhan (CoRL, 2022)

Multi-memory Enhanced Separation Network for Indoor Temperature Prediction. - Zhewen Duan; Xiuwen Yi; Peng Li; Dekang Qi; Yexin Li; Haoran Xu 003; Yanyong Huang; Junbo Zhang; Yu Zheng 004 (DASFAA (2), 2022)

Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations. - Haoran Xu 003; Xianyuan Zhan; Honglei Yin; Huiling Qin (ICML, 2022)

Model-Based Offline Planning with Trajectory Pruning. - Xianyuan Zhan; Xiangyu Zhu; Haoran Xu 003 (IJCAI, 2022)

A Policy-Guided Imitation Approach for Offline Reinforcement Learning. - Haoran Xu 003; Li Jiang 008; Jianxiong Li; Xianyuan Zhan (NeurIPS, 2022)

Distance-Sensitive Offline Reinforcement Learning. - Jianxiong Li; Xianyuan Zhan; Haoran Xu 003; Xiangyu Zhu; Jingjing Liu; Ya-Qin Zhang (CoRR, 2022)

Mind the Gap: Offline Policy Optimization for Imperfect Rewards. - Jianxiong Li; Xiao Hu; Haoran Xu 003; Jingjing Liu; Xianyuan Zhan; Qing-Shan Jia; Ya-Qin Zhang (ICLR, 2023)

When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning. - Jianxiong Li; Xianyuan Zhan; Haoran Xu 003; Xiangyu Zhu; Jingjing Liu; Ya-Qin Zhang (ICLR, 2023)

Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization. - Haoran Xu 003; Li Jiang 008; Jianxiong Li; Zhuoran Yang; Zhaoran Wang 001; Wai Kin Victor Chan; Xianyuan Zhan (ICLR, 2023)

Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization. - Xiangsen Wang; Haoran Xu 003; Yinan Zheng; Xianyuan Zhan (NeurIPS, 2023)

PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning. - Jianxiong Li; Xiao Hu; Haoran Xu 003; Jingjing Liu; Xianyuan Zhan; Ya-Qin Zhang (CoRR, 2023)

Offline Reinforcement Learning with Imbalanced Datasets. - Li Jiang 008; Sijie Chen; Jielin Qiu; Haoran Xu 003; Wai Kin Chan; Zhao Ding (CoRR, 2023)

ECoalVis: Visual Analysis of Control Strategies in Coal-fired Power Plants. - Shuhan Liu; Di Weng; Yuan Tian; Zikun Deng; Haoran Xu 003; Xiangyu Zhu; Honglei Yin; Xianyuan Zhan; Yingcai Wu (IEEE Trans. Vis. Comput. Graph., 2023)

ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update. - Liyuan Mao; Haoran Xu 003; Weinan Zhang 001; Xianyuan Zhan (ICLR, 2024)

FairDiff: Fair Segmentation with Point-Image Diffusion. - Wenyi Li; Haoran Xu 003; Guiyu Zhang; Huan-ang Gao; Mingju Gao; Mengyu Wang; Hao Zhao 002 (MICCAI (3), 2024)

Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning. - Liyuan Mao; Haoran Xu 003; Xianyuan Zhan; Weinan Zhang 001; Amy Zhang 001 (NeurIPS, 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 003; Weihao Gu; Kangliang Chen; Xiang He; Huan-ang Gao; Hao Zhao 002; Guyue Zhou; Ya-Qin Zhang (CoRR, 2024)

Curriculum Goal-Conditioned Imitation for Offline Reinforcement Learning. - Xiaoyun Feng; Li Jiang 008; Xudong Yu; Haoran Xu 003; Xiaoyan Sun; Jie Wang; Xianyuan Zhan; Wai Kin Chan (IEEE Trans. Games, 2024)

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning. - Haoran Xu 003; Shuozhe Li; Harshit Sikchi; Scott Niekum; Amy Zhang 001 (ICLR, 2025)

Information-Theoretic Reward Decomposition for Generalizable RLHF. - Liyuan Mao; Haoran Xu 003; Amy Zhang 001; Weinan Zhang 001; Chenjia Bai (CoRR, 2025)

CRUISE: Cooperative Reconstruction and Editing in V2X Scenarios using Gaussian Splatting. - Haoran Xu 003; Saining Zhang; Peishuo Li; Baijun Ye; Xiaoxue Chen; Huan-ang Gao; Jv Zheng; Xiaowei Song; Ziqiao Peng; Run Miao; Jinrang Jia; Yifeng Shi; et al. (CoRR, 2025)