Xu, Haoran

46 publications

ICLR 2025 Adapters for Altering LLM Vocabularies: What Languages Benefit the Most? HyoJung Han, Akiko Eriguchi, Haoran Xu, Hieu Hoang, Marine Carpuat, Huda Khayrallah

ICLR 2025 An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning Haoran Xu, Shuozhe Li, Harshit Sikchi, Scott Niekum, Amy Zhang

NeurIPS 2025 Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation Liliang Ren, Congcong Chen, Haoran Xu, Young Jin Kim, Adam Atkinson, Zheng Zhan, Jiankai Sun, Baolin Peng, Liyuan Liu, Shuohang Wang, Hao Cheng, Jianfeng Gao, Weizhu Chen, Yelong Shen

ICCV 2025 Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Shengyuan Zhang, An Zhao, Ling Yang, Zejian Li, Chenye Meng, Haoran Xu, Tianrun Chen, AnYang Wei, Perry Pengyun Gu, Lingyun Sun

ICLR 2025 Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models Xingzhuo Guo, Yu Zhang, Baixu Chen, Haoran Xu, Jianmin Wang, Mingsheng Long

AAAI 2025 Exploiting Continuous Motion Clues for Vision-Based Occupancy Prediction Haoran Xu, Peixi Peng, Xinyi Zhang, Guang Tan, Yaokun Li, Shuaixian Wang, Luntong Li

AAAI 2025 Federated Learning with Sample-Level Client Drift Mitigation Haoran Xu, Jiaze Li, Wanyi Wu, Hao Ren

NeurIPS 2025 Information-Theoretic Reward Decomposition for Generalizable RLHF Liyuan Mao, Haoran Xu, Amy Zhang, Weinan Zhang, Chenjia Bai

AAAI 2025 MVReward: Better Aligning and Evaluating Multi-View Diffusion Models with Human Preferences Weitao Wang, Haoran Xu, Yuxiao Yang, Zhifang Liu, Jun Meng, Haoqian Wang

CVPR 2025 PEACE: Empowering Geologic mAP Holistic Understanding with MLLMs Yangyu Huang, Tianyi Gao, Haoran Xu, Qihao Zhao, Yang Song, Zhipeng Gui, Tengchao Lv, Hao Chen, Lei Cui, Scarlett Li, Furu Wei

ICLRW 2025 Pushing the Limit of Sample-Efficient Offline Reinforcement Learning Peng Cheng, Zhihao Wu, Jianxiong Li, Ziteng He, Haoran Xu, Wei Sun, Youfang Lin, Xianyuan Zhan

CVPR 2025 SAM2-LOVE: Segment Anything Model 2 in Language-Aided Audio-Visual Scenes Yuji Wang, Haoran Xu, Yong Liu, Jiaze Li, Yansong Tang

NeurIPS 2025 Spike4DGS: Towards High-Speed Dynamic Scene Rendering with 4D Gaussian Splatting via a Spike Camera Array Qinghong Ye, Yiqian Chang, Jianing Li, Haoran Xu, Xuan Wang, Wei Zhang, Yonghong Tian, Peixi Peng

ICLR 2025 The Belief State Transformer Edward S. Hu, Kwangjun Ahn, Qinghua Liu, Haoran Xu, Manan Tomar, Ada Langford, Dinesh Jayaraman, Alex Lamb, John Langford

NeurIPS 2025 Uni-RL: Unifying Online and Offline RL via Implicit Value Regularization Haoran Xu, Liyuan Mao, Hui Jin, Weinan Zhang, Xianyuan Zhan, Amy Zhang

CVPR 2025 VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning Haoran Xu, Peixi Peng, Guang Tan, Yiqian Chang, Luntong Li, Yonghong Tian

ICLR 2025 X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale Haoran Xu, Kenton Murray, Philipp Koehn, Hieu Hoang, Akiko Eriguchi, Huda Khayrallah

ICLR 2024 A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models Haoran Xu, Young Jin Kim, Amr Sharaf, Hany Hassan Awadalla

ICML 2024 Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, Young Jin Kim

CVPR 2024 DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning Haoran Xu, Peixi Peng, Guang Tan, Yuan Li, Xinhai Xu, Yonghong Tian

CVPR 2024 Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction Di Wen, Haoran Xu, Zhaocheng He, Zhe Wu, Guang Tan, Peixi Peng

NeurIPS 2024 Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning Liyuan Mao, Haoran Xu, Xianyuan Zhan, Weinan Zhang, Amy Zhang

ICLR 2024 Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models Tianjian Li, Haoran Xu, Philipp Koehn, Daniel Khashabi, Kenton Murray

ICLR 2024 FedCDA: Federated Learning with Cross-Rounds Divergence-Aware Aggregation Haozhao Wang, Haoran Xu, Yichen Li, Yuan Xu, Ruixuan Li, Tianwei Zhang

CVPRW 2024 NTIRE 2024 Challenge on Short-Form UGC Video Quality Assessment: Methods and Results Xin Li, Kun Yuan, Yajing Pei, Yiting Lu, Ming Sun, Chao Zhou, Zhibo Chen, Radu Timofte, Wei Sun, Haoning Wu, Zicheng Zhang, Jun Jia, Zhichao Zhang, Linhan Cao, Qiubo Chen, Xiongkuo Min, Weisi Lin, Guangtao Zhai, Jianhui Sun, Tianyi Wang, Lei Li, Han Kong, Wenxuan Wang, Bing Li, Cheng Luo, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, Fangyuan Kong, Haotian Fan, Yifang Xu, Haoran Xu, Mengduo Yang, Jie Zhou, Jiaze Li, Shijie Wen, Mai Xu, Da Li, Shunyu Yao, Jiazhi Du, Wangmeng Zuo, Zhibo Li, Shuai He, Anlong Ming, Huiyuan Fu, Huadong Ma, Yong Wu, Fie Xue, Guozhi Zhao, Lina Du, Jie Guo, Yu Zhang, Huimin Zheng, Junhao Chen, Yue Liu, Dulan Zhou, Kele Xu, Qisheng Xu, Tao Sun, Zhixiang Ding, Yuhang Hu

CVPRW 2024 NTIRE 2024 Quality Assessment of AI-Generated Content Challenge Xiaohong Liu, Xiongkuo Min, Guangtao Zhai, Chunyi Li, Tengchuan Kou, Wei Sun, Haoning Wu, Yixuan Gao, Yuqin Cao, Zicheng Zhang, Xiele Wu, Radu Timofte, Fei Peng, Huiyuan Fu, Anlong Ming, Chuanming Wang, Huadong Ma, Shuai He, Zifei Dou, Shu Chen, Huacong Zhang, Haiyi Xie, Chengwei Wang, Baoying Chen, Jishen Zeng, Jianquan Yang, Weigang Wang, Xi Fang, Xiaoxin Lv, Jun Yan, Tianwu Zhi, Yabin Zhang, Yaohui Li, Yang Li, Jingwen Xu, Jianzhao Liu, Yiting Liao, Junlin Li, Zihao Yu, Fengbin Guan, Yiting Lu, Xin Li, Hossein Motamednia, S. Farhad Hosseini-Benvidi, Ahmad Mahmoudi-Aznaveh, Azadeh Mansouri, Ganzorig Gankhuyag, Kihwan Yoon, Yifang Xu, Haotian Fan, Fangyuan Kong, Shiling Zhao, Weifeng Dong, Haibing Yin, Li Zhu, Zhiling Wang, Bingchen Huang, Avinab Saha, Sandeep Mishra, Shashank Gupta, Rajesh Sureddi, Oindrila Saha, Luigi Celona, Simone Bianco, Paolo Napoletano, Raimondo Schettini, Junfeng Yang, Jing Fu, Wei Zhang, Wenzhi Cao, Limei Liu, Han Peng, Weijun Yuan, Zhan Li, Yihang Cheng, Yifan Deng, Haohui Li, Bowen Qu, Yao Li, Shuqing Luo, Shunzhou Wang, Wei Gao, Zihao Lu, Marcos V. Conde, Xinrui Wang, Zhibo Chen, Ruling Liao, Yan Ye, Qiulin Wang, Bing Li, Zhaokun Zhou, Miao Geng, Rui Chen, Xin Tao, Xiaoyu Liang, Shangkun Sun, Xingyuan Ma, Jiaze Li, Mengduo Yang, Haoran Xu, Jie Zhou, Shiding Zhu, Bohan Yu, Pengfei Chen, Xinrui Xu, Jiabin Shen, Zhichao Duan, Erfan Asadi, Jiahe Liu, Qi Yan, Youran Qu, Xiaohui Zeng, Lele Wang, Renjie Liao

ICLR 2024 ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-Gradient Update Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan

ECCVW 2024 PackMamba: Efficient Processing of Variable-Length Sequences in Mamba Training Haoran Xu, Ziqian Liu, Rong Fu, Zhongling Su, Zerui Wang, Zheng Cai, Zhilin Pei, Xingcheng Zhang

CVPRW 2024 Short-Form UGC Video Quality Assessment Based on Multi-Level Video Fusion with Rank-Aware Haoran Xu, Mengduo Yang, Jie Zhou, Jiaze Li

NeurIPS 2023 Hierarchical Adaptive Value Estimation for Multi-Modal Visual Reinforcement Learning Yangru Huang, Peixi Peng, Yifan Zhao, Haoran Xu, Mengyue Geng, Yonghong Tian

ICLR 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

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

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

ICLRW 2023 SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning Qin Zhang, Linrui Zhang, Li Shen, Haoran Xu, Bowen Wang, Bo Yuan, Yongzhe Chang, Xueqian Wang

ICCV 2023 Simoun: Synergizing Interactive Motion-Appearance Understanding for Vision-Based Reinforcement Learning Yangru Huang, Peixi Peng, Yifan Zhao, Yunpeng Zhai, Haoran Xu, Yonghong Tian

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

NeurIPS 2022 A Policy-Guided Imitation Approach for Offline Reinforcement Learning Haoran Xu, Li Jiang, Li Jianxiong, Xianyuan Zhan

AAAI 2022 Constraints Penalized Q-Learning for Safe Offline Reinforcement Learning Haoran Xu, Xianyuan Zhan, Xiangyu Zhu

AAAI 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

CoRL 2022 Discriminator-Guided Model-Based Offline Imitation Learning Wenjia Zhang, Haoran Xu, Haoyi Niu, Peng Cheng, Ming Li, Heming Zhang, Guyue Zhou, Xianyuan Zhan

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

NeurIPSW 2022 Distance-Sensitive Offline Reinforcement Learning Jianxiong Li, Xianyuan Zhan, Haoran Xu, Xiangyu Zhu, Jingjing Liu, Ya-Qin Zhang

IJCAI 2022 Model-Based Offline Planning with Trajectory Pruning Xianyuan Zhan, Xiangyu Zhu, Haoran Xu

NeurIPSW 2022 Sparse Q-Learning: Offline Reinforcement Learning with Implicit Value Regularization Haoran Xu, Li Jiang, Jianxiong Li, Zhuoran Yang, Zhaoran Wang, Xianyuan Zhan

NeurIPSW 2021 Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations Haoran Xu, Xianyuan Zhan, Honglei Yin, Huiling Qin

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