Sun, Hao

90 publications

ICLR 2026 CloDS: Visual-Only Unsupervised Cloth Dynamics Learning in Unknown Conditions Yu-Liang Zhan, Jian Li, Wenbing Huang, Yang Liu, Hao Sun

ICLR 2026 Controllable Exploration in Hybrid-Policy RLVR for Multi-Modal Reasoning Zhuoxu Huang, Mengxi Jia, Hao Sun, Xuelong Li, Jungong Han

ICLR 2026 Geometric Image Editing via Effects-Sensitive In-Context Inpainting with Diffusion Transformers Shuo Zhang, Wenzhuo Wu, Huayu Zhang, Jiarong Cheng, Xianghao Zang, Chao Ban, Hao Sun, Zhongjiang He, Tianwei Cao, Kongming Liang, Zhanyu Ma

ICLR 2026 RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation Jane Luo, Xin Zhang, Steven Liu, Jie Wu, Jianfeng Liu, Yiming Huang, Yangyu Huang, Chengyu Yin, Ying Xin, Yuefeng Zhan, Hao Sun, Qi Chen, Scarlett Li, Mao Yang

ICLR 2026 RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Mingrui Wu, Lu Wang, Pu Zhao, Fangkai Yang, Jianjin Zhang, Jianfeng Liu, Yuefeng Zhan, Weihao Han, Hao Sun, Jiayi Ji, Xiaoshuai Sun, Qingwei Lin, Weiwei Deng, Dongmei Zhang, Feng Sun, Rongrong Ji

ICLR 2026 Reducing Symmetry Increase in Equivariant Neural Networks Ning Lin, Jiacheng Cen, Anyi Li, Wenbing Huang, Hao Sun

ICLR 2026 Training Large Reasoning Models Efficiently via Progressive Thought Encoding Zeliang Zhang, Xiaodong Liu, Hao Cheng, Hao Sun, Chenliang Xu, Jianfeng Gao

NeurIPS 2025 A Set of Generalized Components to Achieve Effective Poison-Only Clean-Label Backdoor Attacks with Collaborative Sample Selection and Triggers Zhixiao Wu, Yao Lu, Jie Wen, Hao Sun, Qi Zhou, Guangming Lu

ICCV 2025 A Token-Level Text Image Foundation Model for Document Understanding Tongkun Guan, Zining Wang, Pei Fu, Zhengtao Guo, Wei Shen, Kai Zhou, Tiezhu Yue, Chen Duan, Hao Sun, Qianyi Jiang, Junfeng Luo, Xiaokang Yang

NeurIPS 2025 Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models Xiaoyu Zhan, Wenxuan Huang, Hao Sun, Xinyu Fu, Changfeng Ma, Shaosheng Cao, Bohan Jia, Shaohui Lin, Zhenfei Yin, Lei Bai, Wanli Ouyang, Yuanqi Li, Jie Guo, Yanwen Guo

ICML 2025 Active Reward Modeling: Adaptive Preference Labeling for Large Language Model Alignment Yunyi Shen, Hao Sun, Jean-Francois Ton

MLJ 2025 Alignclip: Navigating the Misalignments for Robust Vision-Language Generalization Zhongyi Han, Gongxu Luo, Hao Sun, Yaqian Li, Bo Han, Mingming Gong, Kun Zhang, Tongliang Liu

ICLR 2025 CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion Joshua Kazdan, Hao Sun, Jiaqi Han, Felix Petersen, Frederick Vu, Stefano Ermon

CVPR 2025 Chain of Semantics Programming in 3D Gaussian Splatting Representation for 3D Vision Grounding Jiaxin Shi, Mingyue Xiang, Hao Sun, Yixuan Huang, Zhi Weng

ECML-PKDD 2025 DPS: Diverse Prototype Selection for Adaptive In-Context Learning Xuanbo Fan, Kaiyuan Li, Hao Sun, Boci Peng, Zhenrong Cheng, Yan Zhang

CVPRW 2025 Dist-Tracker: A Small Object-Aware Detector and Tracker for UAV Tracking Wenzhen Wang, Jing Fu, Jiayi Song, Kaiyu Li, Hui Qiao, Jiang Liu, Hao Sun, Xiangyong Cao

AAAI 2025 EyEar: Learning Audio Synchronized Human Gaze Trajectory Based on Physics-Informed Dynamics Xiaochuan Liu, Xin Cheng, Yuchong Sun, Xiaoxue Wu, Ruihua Song, Hao Sun, Denghao Zhang

NeurIPS 2025 FlexWorld: Progressively Expanding 3D Scenes for Flexible-View Exploration Luxi Chen, Zihan Zhou, Min Zhao, Yikai Wang, Ge Zhang, Wenhao Huang, Hao Sun, Ji-Rong Wen, Chongxuan Li

NeurIPS 2025 From Pretraining to Pathology: How Noise Leads to Catastrophic Inheritance in Medical Models Hao Sun, Zhongyi Han, Hao Chen, Jindong Wang, Xin Gao, Yilong Yin

AAAI 2025 HHAN: Comprehensive Infectious Disease Source Tracing via Heterogeneous Hypergraph Neural Network Qiang He, Yunting Bao, Hui Fang, Yuting Lin, Hao Sun

WACV 2025 High-Fidelity Document Stain Removal via a Large-Scale Real-World Dataset and a Memory-Augmented Transformer Mingxian Li, Hao Sun, Yingtie Lei, Xiaofeng Zhang, Yihang Dong, Yilin Zhou, Zimeng Li, Xuhang Chen

NeurIPS 2025 Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models Haohan Chi, Huan-ang Gao, Ziming Liu, Jianing Liu, Chenyu Liu, Jinwei Li, Kaisen Yang, Yangcheng Yu, Zeda Wang, Wenyi Li, Leichen Wang, Xingtao Hu, Hao Sun, Hang Zhao, Hao Zhao

NeurIPS 2025 LayerNavigator: Finding Promising Intervention Layers for Efficient Activation Steering in Large Language Models Hao Sun, Huailiang Peng, Qiong Dai, Xu Bai, Yanan Cao

AAAI 2025 MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning Yaming Yang, Dilxat Muhtar, Yelong Shen, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Weizhu Chen, Yunhai Tong

ICML 2025 MultiPDENet: PDE-Embedded Learning with Multi-Time-Stepping for Accelerated Flow Simulation Qi Wang, Yuan Mi, Wang Haoyun, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Ji-Rong Wen, Hao Sun

NeurIPS 2025 PC-Net: Weakly Supervised Compositional Moment Retrieval via Proposal-Centric Network Mingyao Zhou, Hao Sun, Wei Xie, Ming Dong, Chengji Wang, Mang Ye

ICLR 2025 PINP: Physics-Informed Neural Predictor with Latent Estimation of Fluid Flows Huaguan Chen, Yang Liu, Hao Sun

IJCAI 2025 PeSANet: Physics-Encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems Han Wan, Rui Zhang, Qi Wang, Yang Liu, Hao Sun

ICLR 2025 PhyMPGN: Physics-Encoded Message Passing Graph Network for Spatiotemporal PDE Systems Bocheng Zeng, Qi Wang, Mengtao Yan, Yang Liu, Ruizhi Chengze, Yi Zhang, Hongsheng Liu, Zidong Wang, Hao Sun

ICLR 2025 Rethinking Reward Modeling in Preference-Based Large Language Model Alignment Hao Sun, Yunyi Shen, Jean-Francois Ton

AAAI 2025 SpotActor: Training-Free Layout-Controlled Consistent Image Generation Jiahao Wang, Caixia Yan, Weizhan Zhang, Haonan Lin, Mengmeng Wang, Guang Dai, Tieliang Gong, Hao Sun, Jingdong Wang

ICML 2025 The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-Fidelity Data Thomas Pouplin, Kasia Kobalczyk, Hao Sun, Mihaela Van Der Schaar

AAAI 2025 Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification Haojian Huang, Chuanyu Qin, Zhe Liu, Kaijing Ma, Jin Chen, Han Fang, Chao Ban, Hao Sun, Zhongjiang He

ICLRW 2025 Understanding the Sources of Uncertainty for Large Language and Multimodal Models Ziran Yang, Shibo Hao, Hao Sun, Lai Jiang, Qiyue Gao, Yian Ma, Zhiting Hu

NeurIPS 2024 Accelerating Non-Maximum Suppression: A Graph Theory Perspective King-Siong Si, Lu Sun, Weizhan Zhang, Tieliang Gong, Jiahao Wang, Jiang Liu, Hao Sun

CVPRW 2024 Augmented Self-Mask Attention Transformer for Naturalistic Driving Action Recognition Tiantian Zhang, Qingtian Wang, Xiaodong Dong, Wenqing Yu, Hao Sun, Xuyang Zhou, Aigong Zhen, Shun Cui, Dong Wu, Zhongjiang He

NeurIPSW 2024 CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion Joshua Kazdan, Hao Sun, Jiaqi Han, Felix Petersen, Frederick Vu, Stefano Ermon

NeurIPS 2024 Cross-Model Control: Improving Multiple Large Language Models in One-Time Training Jiayi Wu, Hao Sun, Hengyi Cai, Lixin Su, Shuaiqiang Wang, Dawei Yin, Xiang Li, Ming Gao

ICML 2024 Dense Reward for Free in Reinforcement Learning from Human Feedback Alex James Chan, Hao Sun, Samuel Holt, Mihaela Van Der Schaar

TMLR 2024 GOPlan: Goal-Conditioned Offline Reinforcement Learning by Planning with Learned Models Mianchu Wang, Rui Yang, Xi Chen, Hao Sun, Meng Fang, Giovanni Montana

AAAI 2024 HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation Hao Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang, Qijie Ding, Zengxiang Li, Han Yu

ECCV 2024 IRGen: Generative Modeling for Image Retrieval Yidan Zhang, Ting Zhang, Dong Chen, Yujing Wang, Qi Chen, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Mao Yang, Qingmin Liao, Jingdong Wang, Baining Guo

NeurIPSW 2024 Improving LLM Generation with Inverse and Forward Alignment: Reward Modeling, Prompting, Fine-Tuning, and Inference-Time Optimization Hao Sun, Thomas Pouplin, Nicolás Astorga, Tennison Liu, Mihaela van der Schaar

NeurIPSW 2024 Improving LLM Generation with Inverse and Forward Alignment: Reward Modeling, Prompting, Fine-Tuning, and Inference-Time Optimization Hao Sun, Thomas Pouplin, Nicolás Astorga, Tennison Liu, Mihaela van der Schaar

ICMLW 2024 Inverse Reinforcement Learning from Demonstrations for LLM Alignment Hao Sun, Mihaela van der Schaar

CVPR 2024 LiDAR-Net: A Real-Scanned 3D Point Cloud Dataset for Indoor Scenes Yanwen Guo, Yuanqi Li, Dayong Ren, Xiaohong Zhang, Jiawei Li, Liang Pu, Changfeng Ma, Xiaoyu Zhan, Jie Guo, Mingqiang Wei, Yan Zhang, Piaopiao Yu, Shuangyu Yang, Donghao Ji, Huisheng Ye, Hao Sun, Yansong Liu, Yinuo Chen, Jiaqi Zhu, Hongyu Liu

NeurIPS 2024 OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance Jiahao Wang, Caixia Yan, Haonan Lin, Weizhan Zhang, Mengmeng Wang, Tieliang Gong, Guang Dai, Hao Sun

NeurIPS 2024 Over-Parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation Yu-Liang Zhan, Zhong-Yi Lu, Hao Sun, Ze-Feng Gao

NeurIPS 2024 P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for Efficient Prediction of Spatiotemporal Dynamics Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu

ICMLW 2024 PhaseEvo: Towards Unified Long-Context Prompt Optimization for Large Language Models Wendi Cui, Jiaxin Zhang, Zhuohang Li, Hao Sun, Damien Lopez, Kamalika Das, Bradley A. Malin, Sricharan Kumar

ICLR 2024 Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL Hao Sun, Alihan Hüyük, Mihaela van der Schaar

ICLR 2024 Reinforcement Symbolic Regression Machine Yilong Xu, Yang Liu, Hao Sun

AAAI 2024 SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection Jiahao Wang, Caixia Yan, Weizhan Zhang, Huan Liu, Hao Sun, Qinghua Zheng

AAAI 2024 TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detection Hao Sun, Mingyao Zhou, Wenjing Chen, Wei Xie

IJCAI 2024 Vision-Based Discovery of Nonlinear Dynamics for 3D Moving Target Zitong Zhang, Yang Liu, Hao Sun

DMLR 2024 When Is Off-Policy Evaluation (Reward Modeling) Useful in Contextual Bandits? a Data-Centric Perspective Hao Sun, Alex James Chan, Nabeel Seedat, Alihan Hüyük, Mihaela van der Schaar

NeurIPS 2023 A Comprehensive Study on Text-Attributed Graphs: Benchmarking and Rethinking Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang

NeurIPS 2023 Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar

ICCVW 2023 Alignment and Generation Adapter for Efficient Video-Text Understanding Han Fang, Zhifei Yang, Yuhan Wei, Xianghao Zang, Chao Ban, Zerun Feng, Zhongjiang He, Yongxiang Li, Hao Sun

CVPRW 2023 An Effective Motorcycle Helmet Object Detection Framework for Intelligent Traffic Safety Shun Cui, Tiantian Zhang, Hao Sun, Xuyang Zhou, Wenqing Yu, Aigong Zhen, Qihang Wu, Zhongjiang He

ICCVW 2023 LLaViLo: Boosting Video Moment Retrieval via Adapter-Based Multimodal Modeling Kaijing Ma, Xianghao Zang, Zerun Feng, Han Fang, Chao Ban, Yuhan Wei, Zhongjiang He, Yongxiang Li, Hao Sun

AISTATS 2023 Membership Inference Attacks Against Synthetic Data Through Overfitting Detection Boris Breugel, Hao Sun, Zhaozhi Qian, Mihaela Schaar

NeurIPS 2023 Model-Enhanced Vector Index Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui

CVPRW 2023 Multi-Attention Transformer for Naturalistic Driving Action Recognition Xiaodong Dong, Ruijie Zhao, Hao Sun, Dong Wu, Jin Wang, Xuyang Zhou, Jiang Liu, Shun Cui, Zhongjiang He

AISTATS 2023 Neural Laplace Control for Continuous-Time Delayed Systems Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela Schaar

CVPR 2023 Stare at What You See: Masked Image Modeling Without Reconstruction Hongwei Xue, Peng Gao, Hongyang Li, Yu Qiao, Hao Sun, Houqiang Li, Jiebo Luo

ICLR 2023 Symbolic Physics Learner: Discovering Governing Equations via Monte Carlo Tree Search Fangzheng Sun, Yang Liu, Jian-Xun Wang, Hao Sun

ICCV 2023 VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching Junyu Bi, Daixuan Cheng, Ping Yao, Bochen Pang, Yuefeng Zhan, Chuanguang Yang, Yujing Wang, Hao Sun, Weiwei Deng, Qi Zhang

NeurIPS 2023 What Is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization Hao Sun, Boris van Breugel, Jonathan Crabbé, Nabeel Seedat, Mihaela van der Schaar

NeurIPS 2022 A Neural Corpus Indexer for Document Retrieval Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang

NeurIPS 2022 Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty Luning Sun, Daniel Huang, Hao Sun, Jian-Xun Wang

NeurIPSW 2022 Constrained MDPs Can Be Solved by Eearly-Termination with Recurrent Models Hao Sun, Ziping Xu, Zhenghao Peng, Meng Fang, Taiyi Wang, Bo Dai, Bolei Zhou

ICLR 2022 Discovering Nonlinear PDEs from Scarce Data with Physics-Encoded Learning Chengping Rao, Pu Ren, Yang Liu, Hao Sun

IJCAI 2022 Distilling Governing Laws and Source Input for Dynamical Systems from Videos Lele Luan, Yang Liu, Hao Sun

NeurIPS 2022 Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping Hao Sun, Lei Han, Rui Yang, Xiaoteng Ma, Jian Guo, Bolei Zhou

ICML 2022 HousE: Knowledge Graph Embedding with Householder Parameterization Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang

WACV 2022 Information Bottlenecked Variational Autoencoder for Disentangled 3D Facial Expression Modelling Hao Sun, Nick Pears, Yajie Gu

NeurIPSW 2022 MOPA: A Minimalist Off-Policy Approach to Safe-RL Hao Sun, Ziping Xu, Zhenghao Peng, Meng Fang, Bo Dai, Bolei Zhou

NeurIPSW 2022 Novel Policy Seeking with Constrained Optimization Hao Sun, Zhenghao Peng, Bo Dai, Dahua Lin, Bolei Zhou

ICLR 2022 Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang

NeurIPSW 2022 Supervised Q-Learning Can Be a Strong Baseline for Continuous Control Hao Sun, Ziping Xu, Meng Fang, Bolei Zhou

NeurIPSW 2022 Supervised Q-Learning for Continuous Control Hao Sun, Ziping Xu, Taiyi Wang, Meng Fang, Bolei Zhou

NeurIPSW 2022 Toward Causal-Aware RL: State-Wise Action-Refined Temporal Difference Hao Sun, Taiyi Wang

AAAI 2021 Knowledge Refinery: Learning from Decoupled Label Qianggang Ding, Sifan Wu, Tao Dai, Hao Sun, Jiadong Guo, Zhang-Hua Fu, Shutao Xia

IJCAI 2021 Physics-Informed Spline Learning for Nonlinear Dynamics Discovery Fangzheng Sun, Yang Liu, Hao Sun

CVPRW 2021 Robust Vehicle Re-Identification via Rigid Structure Prior Minyue Jiang, Xuanmeng Zhang, Yue Yu, Zechen Bai, Zhedong Zheng, Zhigang Wang, Jian Wang, Xiao Tan, Hao Sun, Errui Ding, Yi Yang

IJCAI 2020 Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction Qianggang Ding, Sifan Wu, Hao Sun, Jiadong Guo, Jian Guo

CoRL 2020 Neuro-Symbolic Program Search for Autonomous Driving Decision Module Design Jiankai Sun, Hao Sun, Tian Han, Bolei Zhou

CVPR 2020 Reciprocal Learning Networks for Human Trajectory Prediction Hao Sun, Zhiqun Zhao, Zhihai He

NeurIPS 2019 Policy Continuation with Hindsight Inverse Dynamics Hao Sun, Zhizhong Li, Xiaotong Liu, Bolei Zhou, Dahua Lin