Wu, Hao

84 publications

NeurIPS 2025 Breaking the Discretization Barrier of Continuous Physics Simulation Learning Fan Xu, Hao Wu, Nan Wang, Lilan Peng, Kun Wang, Wei Gong, Xibin Zhao

NeurIPS 2025 CellVerse: Do Large Language Models Really Understand Cell Biology? Fan Zhang, Tianyu Liu, Zhihong Zhu, Hao Wu, Haixin Wang, Donghao Zhou, Yefeng Zheng, Kun Wang, Xian Wu, Pheng-Ann Heng

AAAI 2025 CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness Shoucheng Song, Youfang Lin, Sheng Han, Chang Yao, Hao Wu, Shuo Wang, Kai Lv

NeurIPS 2025 Consistent Sampling and Simulation: Molecular Dynamics with Energy-Based Diffusion Models Michael Plainer, Hao Wu, Leon Klein, Stephan Günnemann, Frank Noe

ICCV 2025 Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting Yuqi Li, Chuanguang Yang, Hansheng Zeng, Zeyu Dong, Zhulin An, Yongjun Xu, Yingli Tian, Hao Wu

IJCAI 2025 From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination Chang Yao, Youfang Lin, Shoucheng Song, Hao Wu, Yuqing Ma, Sheng Han, Kai Lv

AAAI 2025 FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion Models Mohammadreza Samadi, Fred X. Han, Mohammad Salameh, Hao Wu, Fengyu Sun, Chunhua Zhou, Di Niu

ICML 2025 Improved Approximations for Hard Graph Problems Using Predictions Anders Aamand, Justin Y. Chen, Siddharth Gollapudi, Sandeep Silwal, Hao Wu

MLJ 2025 Improving Text Processing via Adversarial Low-Rank Adaptation Hao Wu, Xiangfeng Luo, Jianqi Gao, Dian Huang

ICLR 2025 Learning Graph Quantized Tokenizers Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long

ICLR 2025 Learning-Augmented Frequent Directions Anders Aamand, Justin Y. Chen, Siddharth Gollapudi, Sandeep Silwal, Hao Wu

ICCV 2025 MagicCity: Geometry-Aware 3D City Generation from Satellite Imagery with Multi-View Consistency Xingbo Yao, Xuanmin Wang, Hao Wu, Chengliang Ping, Doudou Zhang, Hui Xiong

CVPRW 2025 NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results Yuqian Fu, Xingyu Qiu, Bin Ren, Yanwei Fu, Radu Timofte, Nicu Sebe, Ming-Hsuan Yang, Luc Van Gool, Kaijin Zhang, Qingpeng Nong, Xiugang Dong, Hong Gao, Xiangsheng Zhou, Jiancheng Pan, Yanxing Liu, Xiao He, Jiahao Li, Yuze Sun, Xiaomeng Huang, Zhenyu Zhang, Ran Ma, Yuhan Liu, Zijian Zhuang, Shuai Yi, Yixiong Zou, Lingyi Hong, Mingxi Chen, Runze Li, Xingdong Sheng, Wenqiang Zhang, Weisen Chen, Yongxin Yan, Xinguo Chen, Yuanjie Shao, Zhengrong Zuo, Nong Sang, Hao Wu, Haoran Sun, Shuming Hu, Yan Zhang, Zhiguang Shi, Yu Zhang, Chao Chen, Tao Wang, Da Feng, Linhai Zhuo, Ziming Lin, Yali Huang, Jie Me, Yiming Yang, Mi Guo, Mingyuan Jiu, Mingliang Xu, Maomao Xiong, Qunshu Zhang, Xinyu Cao, Yuqing Yang, Dianmo Sheng, Xuanpu Zhao, Zhiyu Li, Xuyang Ding, Wenqian Li

ICCV 2025 One Perturbation Is Enough: On Generating Universal Adversarial Perturbations Against Vision-Language Pre-Training Models Hao Fang, Jiawei Kong, Wenbo Yu, Bin Chen, Jiawei Li, Hao Wu, Shu-Tao Xia, Ke Xu

ICML 2025 OneForecast: A Universal Framework for Global and Regional Weather Forecasting Yuan Gao, Hao Wu, Ruiqi Shu, Huanshuo Dong, Fan Xu, Rui Ray Chen, Yibo Yan, Qingsong Wen, Xuming Hu, Kun Wang, Jiahao Wu, Li Qing, Hui Xiong, Xiaomeng Huang

ICLR 2025 Open-CK: A Large Multi-Physics Fields Coupling Benchmarks in Combustion Kinetics Zaige Fei, Fan Xu, Junyuan Mao, Yuxuan Liang, Qingsong Wen, Kun Wang, Hao Wu, Yang Wang

ICML 2025 Pixel2Feature Attack (P2FA): Rethinking the Perturbed Space to Enhance Adversarial Transferability Renpu Liu, Hao Wu, Jiawei Zhang, Xin Cheng, Xiangyang Luo, Bin Ma, Jinwei Wang

AAAI 2025 PriFold: Biological Priors Improve RNA Secondary Structure Predictions Chenchen Yang, Hao Wu, Tao Shen, Kai Zou, Siqi Sun

NeurIPS 2025 Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning Yuhao Zhou, Yiheng Wang, Xuming He, Ruoyao Xiao, Zhiwei Li, Qiantai Feng, Zijie Guo, Yuejin Yang, Hao Wu, Wenxuan Huang, Jiaqi Wei, Dan Si, Yao Xiuqi, Jia Bu, Haiwen Huang, Tianfan Fu, Shixiang Tang, Ben Fei, Dongzhan Zhou, Fenghua Ling, Yan Lu, Siqi Sun, Chenhui Li, Guanjie Zheng, Jiancheng Lv, Wenlong Zhang, Lei Bai

ICCV 2025 StreamMind: Unlocking Full Frame Rate Streaming Video Dialogue Through Event-Gated Cognition Xin Ding, Hao Wu, Yifan Yang, Shiqi Jiang, Qianxi Zhang, Donglin Bai, Zhibo Chen, Ting Cao

AAAI 2025 VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification Kai Sun, Hao Wu, Bin Shi, Samuel Mensah, Peng Liu, Bo Dong

ECCV 2024 CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks Hao Fang, Jiawei Kong, Bin Chen, Tao Dai, Hao Wu, Shu-Tao Xia

NeurIPS 2024 Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model Yifan Duan, Jian Zhao, Pengcheng, Junyuan Mao, Hao Wu, Jingyu Xu, Shilong Wang, Caoyuan Ma, Kai Wang, Kun Wang, Xuelong Li

CVPR 2024 DIBS: Enhancing Dense Video Captioning with Unlabeled Videos via Pseudo Boundary Enrichment and Online Refinement Hao Wu, Huabin Liu, Yu Qiao, Xiao Sun

NeurIPS 2024 Divide-and-Conquer Predictive Coding: A Structured Bayesian Inference Algorithm Eli Sennesh, Hao Wu, Tommaso Salvatori

AAAI 2024 Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model Hao Wu, Yuxuan Liang, Wei Xiong, Zhengyang Zhou, Wei Huang, Shilong Wang, Kun Wang

NeurIPS 2024 Faster Differentially Private Top-$k$ Selection: A Joint Exponential Mechanism with Pruning Hao Wu, Hanwen Zhang

ECML-PKDD 2024 GLADformer: A Mixed Perspective for Graph-Level Anomaly Detection Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Dalin Zhang, Siyang Lu, Binyong Li, Wei Gong, Hai Wan, Xibin Zhao

NeurIPSW 2024 Gradient-Free Variational Learning with Conditional Mixture Networks Conor Heins, Hao Wu, Dimitrije Markovic, Alexander Tschantz, Jeff Beck, Christopher Buckley

CVPR 2024 LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images Jing Zhang, Irving Fang, Hao Wu, Akshat Kaushik, Alice Rodriguez, Hanwen Zhao, Juexiao Zhang, Zhuo Zheng, Radu Iovita, Chen Feng

ICLR 2024 NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling Kun Wang, Hao Wu, Yifan Duan, Guibin Zhang, Kai Wang, Xiaojiang Peng, Yu Zheng, Yuxuan Liang, Yang Wang

NeurIPS 2024 PURE: Prompt Evolution with Graph ODE for Out-of-Distribution Fluid Dynamics Modeling Hao Wu, Changhu Wang, Fan Xu, Jinbao Xue, Chong Chen, Xian-Sheng Hua, Xiao Luo

ECCV 2024 PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology Yuxuan Sun, Hao Wu, Chenglu Zhu, Sunyi Zheng, Qizi Chen, Kai Zhang, Yunlong Zhang, Dan Wan, Xiaoxiao Lan, Mengyue Zheng, Jingxiong Li, Xinheng Lyu, Tao Lin, Lin Yang

ICML 2024 Profile Reconstruction from Private Sketches Hao Wu, Rasmus Pagh

ICML 2024 Prometheus: Out-of-Distribution Fluid Dynamics Modeling with Disentangled Graph ODE Hao Wu, Huiyuan Wang, Kun Wang, Weiyan Wang, Changan Ye, Yangyu Tao, Chong Chen, Xian-Sheng Hua, Xiao Luo

AAAI 2024 Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Xibin Zhao, Hai Wan

NeurIPS 2024 Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling Shuaipeng Li, Penghao Zhao, Hailin Zhang, Xingwu Sun, Hao Wu, Dian Jiao, Weiyan Wang, Chengjun Liu, Zheng Fang, Jinbao Xue, Yangyu Tao, Bin Cui, Di Wang

AAAI 2024 UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation Kefu Yi, Kai Luo, Xiaolei Luo, Jiangui Huang, Hao Wu, Rongdong Hu, Wei Hao

ICLR 2024 VCR-Graphormer: A Mini-Batch Graph Transformer via Virtual Connections Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang, Si Zhang, Kaan Sancak, Hao Wu, Andrey Malevich, Jingrui He, Bo Long

TMLR 2024 Vision Learners Meet Web Image-Text Pairs Bingchen Zhao, Quan Cui, Hao Wu, Osamu Yoshie, Cheng Yang, Oisin Mac Aodha

ICML 2023 A Closer Look at Few-Shot Classification Again Xu Luo, Hao Wu, Ji Zhang, Lianli Gao, Jing Xu, Jingkuan Song

CVPR 2023 A Simple Framework for Text-Supervised Semantic Segmentation Muyang Yi, Quan Cui, Hao Wu, Cheng Yang, Osamu Yoshie, Hongtao Lu

ICLR 2023 Do We Really Need Complicated Model Architectures for Temporal Networks? Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi

NeurIPS 2023 IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval Haixin Wang, Hao Wu, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo

ICML 2023 SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models Guangxuan Xiao, Ji Lin, Mickael Seznec, Hao Wu, Julien Demouth, Song Han

ICML 2023 Tight Data Access Bounds for Private Top-$k$ Selection Hao Wu, Olga Ohrimenko, Anthony Wirth

AISTATS 2022 Asymptotically Optimal Locally Private Heavy Hitters via Parameterized Sketches Hao Wu, Anthony Wirth

ECCV 2022 Contrastive Vision-Language Pre-Training with Limited Resources Quan Cui, Boyan Zhou, Yu Guo, Weidong Yin, Hao Wu, Osamu Yoshie, Yubo Chen

ICML 2022 Cross-Space Active Learning on Graph Convolutional Networks Yufei Tao, Hao Wu, Shiyuan Deng

ECCVW 2022 Distinctive Image Captioning via CLIP Guided Group Optimization Youyuan Zhang, Jiuniu Wang, Hao Wu, Wenjia Xu

AAAI 2022 L-CoDe: Language-Based Colorization Using Color-Object Decoupled Conditions Shuchen Weng, Hao Wu, Zheng Chang, Jiajun Tang, Si Li, Boxin Shi

ECCVW 2022 MoQuad: Motion-Focused Quadruple Construction for Video Contrastive Learning Yuan Liu, Jiacheng Chen, Hao Wu

IJCAI 2021 Boosting Offline Reinforcement Learning with Residual Generative Modeling Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li

ICML 2021 Conjugate Energy-Based Models Hao Wu, Babak Esmaeili, Michael Wick, Jean-Baptiste Tristan, Jan-Willem Van De Meent

ICLRW 2021 Conjugate Energy-Based Models Hao Wu, Babak Esmaeili, Michael L Wick, Jean-Baptiste Tristan, Jan-Willem van de Meent

NeurIPS 2021 FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang, Yidong Wang, Wenxin Hou, Hao Wu, Jindong Wang, Manabu Okumura, Takahiro Shinozaki

ACML 2021 Hybrid Estimation for Open-Ended Questions with Early-Age Students’ Block-Based Programming Answers Hao Wu, Tianyi Chen, Xianzhe Luo, Canghong Jin, Yun Zhang, Minghui Wu

UAI 2021 Learning Proposals for Probabilistic Programs with Inference Combinators Sam Stites, Heiko Zimmermann, Hao Wu, Eli Sennesh, Jan-Willem Meent

CVPR 2021 Learning the Best Pooling Strategy for Visual Semantic Embedding Jiacheng Chen, Hexiang Hu, Hao Wu, Yuning Jiang, Changhu Wang

NeurIPS 2021 Nested Variational Inference Heiko Zimmermann, Hao Wu, Babak Esmaeili, Jan-Willem van de Meent

AAAI 2021 Training Spiking Neural Networks with Accumulated Spiking Flow Hao Wu, Yueyi Zhang, Wenming Weng, Yongting Zhang, Zhiwei Xiong, Zheng-Jun Zha, Xiaoyan Sun, Feng Wu

AAAI 2020 A Deep Neural Network Model of Particle Thermal Radiation in Packed Bed Hao Wu, Shuang Hao

NeurIPS 2020 A Variational Approach for Learning from Positive and Unlabeled Data Hui Chen, Fangqing Liu, Yin Wang, Liyue Zhao, Hao Wu

ICML 2020 Amortized Population Gibbs Samplers with Neural Sufficient Statistics Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem Van De Meent

AAAI 2020 DeepDualMapper: A Gated Fusion Network for Automatic mAP Extraction Using Aerial Images and Trajectories Hao Wu, Hanyuan Zhang, Xinyu Zhang, Weiwei Sun, Baihua Zheng, Yuning Jiang

AAAI 2020 Mastering Complex Control in MOBA Games with Deep Reinforcement Learning Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang

ACML 2020 Robust Document Distance with Wasserstein-Fisher-Rao Metric Zihao Wang, Datong Zhou, Ming Yang, Yong Zhang, Chenglong Rao, Hao Wu

NeurIPS 2020 Stochastic Normalizing Flows Hao Wu, Jonas Köhler, Frank Noe

AAAI 2019 Safeguarded Dynamic Label Regression for Noisy Supervision Jiangchao Yao, Hao Wu, Ya Zhang, Ivor W. Tsang, Jun Sun

AISTATS 2019 Structured Disentangled Representations Babak Esmaeili, Hao Wu, Sarthak Jain, Alican Bozkurt, N Siddharth, Brooks Paige, Dana H. Brooks, Jennifer Dy, Jan-Willem Meent

IJCAI 2018 CAGAN: Consistent Adversarial Training Enhanced GANs Yao Ni, Dandan Song, Xi Zhang, Hao Wu, Lejian Liao

NeurIPS 2018 Deep Generative Markov State Models Hao Wu, Andreas Mardt, Luca Pasquali, Frank Noe

IJCAI 2018 DeepTravel: A Neural Network Based Travel Time Estimation Model with Auxiliary Supervision Hanyuan Zhang, Hao Wu, Weiwei Sun, Baihua Zheng

ICLR 2018 Mixed Precision Training Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory Diamos, Erich Elsen, David Garcia, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu

IJCAI 2017 Deep Context: A Neural Language Model for Large-Scale Networked Documents Hao Wu, Kristina Lerman

IJCAI 2017 Modeling Trajectories with Recurrent Neural Networks Hao Wu, Ziyang Chen, Weiwei Sun, Baihua Zheng, Wei Wang

NeurIPS 2016 Spectral Learning of Dynamic Systems from Nonequilibrium Data Hao Wu, Frank Noe

IJCAI 2015 Saul: Towards Declarative Learning Based Programming Parisa Kordjamshidi, Dan Roth, Hao Wu

UAI 2014 A Bayesian Nonparametric Model for Spectral Estimation of Metastable Systems Hao Wu

AAAI 2010 Modeling Dynamic Multi-Topic Discussions in Online Forums Hao Wu, Jiajun Bu, Chun Chen, Can Wang, Guang Qiu, Lijun Zhang, Jianfeng Shen

CVPR 2008 Face Alignment via Boosted Ranking Model Hao Wu, Xiaoming Liu, Gianfranco Doretto

CVPR 2007 In Situ Evaluation of Tracking Algorithms Using Time Reversed Chains Hao Wu, Aswin C. Sankaranarayanan, Rama Chellappa

ICCV 2007 Robust Visual Tracking Using the Time-Reversibility Constraint Hao Wu, Rama Chellappa, Aswin C. Sankaranarayanan, Shaohua Kevin Zhou

CVPR 2006 Coupled Bayesian Framework for Dual Energy Image Registration Hao Wu, Yunqiang Chen, Tong Fang