Wang, Hao

258 publications

TMLR 2026 Causal Decoding for Hallucination-Resistant Multimodal Large Language Models Shiwei Tan, Hengyi Wang, Weiyi Qin, Qi Xu, Zhigang Hua, Hao Wang

ECML-PKDD 2025 A Dynamic Ensemble and Replaying Model for Online Marine Sensor Data Prediction Xiang Li, Xi Fu, Congqi Lin, Xiangkai Wang, Yuhang Zhang, Hao Wang, Zhigang Zhao, Meihong Yang, Yinglong Wang

NeurIPS 2025 A$^3$E: Towards Compositional Model Editing Hongming Piao, Hao Wang, Dapeng Wu, Ying Wei

ICML 2025 ADHMR: Aligning Diffusion-Based Human Mesh Recovery via Direct Preference Optimization Wenhao Shen, Wanqi Yin, Xiaofeng Yang, Cheng Chen, Chaoyue Song, Zhongang Cai, Lei Yang, Hao Wang, Guosheng Lin

AAAI 2025 Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Rui Lv, Zheng Zhang, Hao Wang, Zhenya Huang

ICCV 2025 AirCache: Activating Inter-Modal Relevancy KV Cache Compression for Efficient Large Vision-Language Model Inference Kai Huang, Hao Zou, Bochen Wang, Ye Xi, Zhen Xie, Hao Wang

ICLRW 2025 An Empirical Study on Prompt Compression for Large Language Models Zhang Zheng, Jinyi Li, Yihuai Lan, Xiang Wang, Hao Wang

ICLR 2025 An Engorgio Prompt Makes Large Language Model Babble on Jianshuo Dong, Ziyuan Zhang, Qingjie Zhang, Tianwei Zhang, Hao Wang, Hewu Li, Qi Li, Chao Zhang, Ke Xu, Han Qiu

NeurIPS 2025 CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors Mingyuan Li, Tong Jia, Hao Wang, Bowen Ma, Luhui, Shiyi Guo, Da Cai, Dongyue Chen

ICML 2025 Concept-Based Unsupervised Domain Adaptation Xinyue Xu, Yueying Hu, Hui Tang, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li

ICCV 2025 Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis Xiwen Chen, Peijie Qiu, Wenhui Zhu, Hao Wang, Huayu Li, Xuanzhao Dong, Xiaotong Sun, Xiaobing Yu, Yalin Wang, Abolfazl Razi, Aristeidis Sotiras

IJCAI 2025 Disentangling Multi-View Representations via Curriculum Learning with Learnable Prior Kai Guo, Jiedong Wang, Xi Peng, Peng Hu, Hao Wang

ICML 2025 FIC-TSC: Learning Time Series Classification with Fisher Information Constraint Xiwen Chen, Wenhui Zhu, Peijie Qiu, Hao Wang, Huayu Li, Zihan Li, Yalin Wang, Aristeidis Sotiras, Abolfazl Razi

NeurIPS 2025 Feature Unlearning: Theoretical Foundations and Practical Applications with Shuffling Yue Yang, Jinhao Li, Hao Wang

ICLR 2025 FreDF: Learning to Forecast in the Frequency Domain Hao Wang, Lichen Pan, Yuan Shen, Zhichao Chen, Degui Yang, Yifei Yang, Sen Zhang, Xinggao Liu, Haoxuan Li, Dacheng Tao

IJCAI 2025 FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Zhenzhe Zhang, Tianchen Zhu, Shanghang Zhang, Jianxin Li

ICML 2025 From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models Mingjia Yin, Junwei Pan, Hao Wang, Ximei Wang, Shangyu Zhang, Jie Jiang, Defu Lian, Enhong Chen

ICLR 2025 GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs Kalliopi Basioti, Pritish Sahu, Tony Qingze Liu, Zihao Xu, Hao Wang, Vladimir Pavlovic

NeurIPS 2025 Generalizing Experience for Language Agents with Hierarchical MetaFlows Shengda Fan, Xin Cong, Zhong Zhang, Yuepeng Fu, Yesai Wu, Hao Wang, Xinyu Zhang, Enrui Hu, Yankai Lin

ICLR 2025 Graph-Guided Scene Reconstruction from Images with 3D Gaussian Splatting Chong Cheng, Gaochao Song, Yiyang Yao, Qinzheng Zhou, Gangjian Zhang, Hao Wang

IJCAI 2025 Guiding LLM-Based Smart Contract Generation with Finite State Machine Hao Luo, Yuhao Lin, Xiao Yan, Xintong Hu, Yuxiang Wang, Qiming Zeng, Hao Wang, Jiawei Jiang

ICLR 2025 Implicit In-Context Learning Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu, Hao Wang, Dimitris N. Metaxas

NeurIPS 2025 Iterative Missing Data Imputation with Model Form Adaptation and Non-Missing Feature Supervision Hao Wang, Zhengnan Li, Zhichao Chen, Xu Chen, Shuting He, Guangyi Liu, Haoxuan Li, Zhouchen Lin

AAAI 2025 Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery Hao Wang, Biqin Song, Hao Deng, Hong Chen

NeurIPS 2025 Know What You Don't Know: Uncertainty Calibration of Process Reward Models Young-Jin Park, Kristjan Greenewald, Kaveh Alim, Hao Wang, Navid Azizan

ICCV 2025 Knowledge-Guided Part Segmentation Xuejian Gou, Fang Liu, Licheng Jiao, Shuo Li, Lingling Li, Hao Wang, Xu Liu, Puhua Chen, Wenping Ma

NeurIPS 2025 LARGO: Latent Adversarial Reflection Through Gradient Optimization for Jailbreaking LLMs Ran Li, Hao Wang, Chengzhi Mao

TMLR 2025 LLM-Powered GUI Agents in Phone Automation: Surveying Progress and Prospects Guangyi Liu, Pengxiang Zhao, Yaozhen Liang, Liang Liu, Yaxuan Guo, Han Xiao, Weifeng Lin, Yuxiang Chai, Yue Han, Shuai Ren, Hao Wang, Xiaoyu Liang, WenHao Wang, Tianze Wu, Zhengxi Lu, Siheng Chen, LiLinghao, Hao Wang, Guanjing Xiong, Yong Liu, Hongsheng Li

TMLR 2025 Learning Deformable Body Interactions with Adaptive Spatial Tokenization Hao Wang, Yu Liu, Daniel Biggs, Haoru Wang, Jiandong Yu, Ping Huang

IJCAI 2025 Learning Robust Multi-View Representation Using Dual-Masked VAEs Jiedong Wang, Kai Guo, Peng Hu, Xi Peng, Hao Wang

AAAI 2025 Manhattan Self-Attention Diffusion Residual Networks with Dynamic Bias Rectification for BCI-Based Few-Shot Learning Hao Wang, Li Xu, Yuntao Yu, Weiyue Ding, Yiming Xu

AAAI 2025 Medical MLLM Is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models Xijie Huang, Xinyuan Wang, Hantao Zhang, Yinghao Zhu, Jiawen Xi, Jingkun An, Hao Wang, Hao Liang, Chengwei Pan

CVPR 2025 MultiGO: Towards Multi-Level Geometry Learning for Monocular 3D Textured Human Reconstruction Gangjian Zhang, Nanjie Yao, Shunsi Zhang, Hanfeng Zhao, Guoliang Pang, Jian Shu, Hao Wang

ICLR 2025 NetFormer: An Interpretable Model for Recovering Dynamical Connectivity in Neuronal Population Dynamics Ziyu Lu, Wuwei Zhang, Trung Le, Hao Wang, Uygar Sümbül, Eric Todd SheaBrown, Lu Mi

NeurIPS 2025 OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain Wenzhen Yue, Yong Liu, Hao Wang, Haoxuan Li, Xianghua Ying, Ruohao Guo, Bowei Xing, Ji Shi

ICML 2025 OmniArch: Building Foundation Model for Scientific Computing Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Chonghan Gao, Rongye Shi, Shanghang Zhang, Jianxin Li

ICLR 2025 On Calibration of LLM-Based Guard Models for Reliable Content Moderation Hongfu Liu, Hengguan Huang, Xiangming Gu, Hao Wang, Ye Wang

ICLR 2025 Optimal Transport for Time Series Imputation Hao Wang, Zhengnan Li, Haoxuan Li, Xu Chen, Mingming Gong, BinChen, Zhichao Chen

ICCV 2025 Outdoor Monocular SLAM with Global Scale-Consistent 3D Gaussian Pointmaps Chong Cheng, Sicheng Yu, Zijian Wang, Yifan Zhou, Hao Wang

NeurIPS 2025 P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models Tingjia Shen, Hao Wang, Chuhan Wu, Jin Yao Chin, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Ruiming Tang, Enhong Chen

ICLRW 2025 PAC Privacy Preserving Diffusion Models Qipan Xu, Youlong Ding, Xinxi Zhang, Jie Gao, Hao Wang

IJCAI 2025 PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models Zheng Zhang, Jinyi Li, Yihuai Lan, Xiang Wang, Hao Wang

MLOSS 2025 PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark Jianqing Zhang, Yang Liu, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao

ICCV 2025 PhysSplat: Efficient Physics Simulation for 3D Scenes via MLLM-Guided Gaussian Splatting Haoyu Zhao, Hao Wang, Xingyue Zhao, Hao Fei, Hongqiu Wang, Chengjiang Long, Hua Zou

NeurIPS 2025 PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation Ziyan Wang, Sizhe Wei, Xiaoming Huo, Hao Wang

NeurIPS 2025 RAG-IGBench: Innovative Evaluation for RAG-Based Interleaved Generation in Open-Domain Question Answering Rongyang Zhang, Yuqing Huang, Chengqiang Lu, Qimeng Wang, Yan Gao, Yiwu, Yao Hu, Yin Xu, Wei Wang, Hao Wang, Enhong Chen

IJCAI 2025 RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming Hao Wang, Jindong Han, Wei Fan, Leilei Sun, Hao Liu

ICCV 2025 RegGS: Unposed Sparse Views Gaussian Splatting with 3DGS Registration Chong Cheng, Yu Hu, Sicheng Yu, Beizhen Zhao, Zijian Wang, Hao Wang

TMLR 2025 Reliable and Responsible Foundation Models Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, Rene Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao

CVPR 2025 Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-Based Action Recognition Hongda Liu, Yunfan Liu, Min Ren, Hao Wang, Yunlong Wang, Zhenan Sun

WACV 2025 SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models Xinxi Zhang, Song Wen, Ligong Han, Felix Juefei-Xu, Akash Srivastava, Junzhou Huang, Vladimir Pavlovic, Hao Wang, Molei Tao, Dimitris Metaxas

AAAI 2025 SSC-VAE: Structured Sparse Coding Based Variational Autoencoder for Detail Preserved Image Reconstruction Hao Wang, Lu Wang, Zhongyu Wang, Lixin Ma, Ye Luo

AAAI 2025 Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi

ICCV 2025 Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-Wise Gradient Alignment Qingqian Yang, Peishen Yan, Xiaoyu Wu, Jiaru Zhang, Tao Song, Yang Hua, Hao Wang, Liangliang Wang, Haibing Guan

CVPR 2025 StyleStudio: Text-Driven Style Transfer with Selective Control of Style Elements Mingkun Lei, Xue Song, Beier Zhu, Hao Wang, Chi Zhang

NeurIPS 2025 SuperGPQA: Scaling LLM Evaluation Across 285 Graduate Disciplines Xeron Du, Yifan Yao, Kaijing Ma, Bingli Wang, Tianyu Zheng, King Zhu, Minghao Liu, Yiming Liang, Xiaolong Jin, Zhenlin Wei, Chujie Zheng, Kaixin Deng, Shuyue Guo, Shian Jia, Sichao Jiang, Yiyan Liao, Rui Li, Qinrui Li, Sirun Li, Yizhi Li, Yunwen Li, Dehua Ma, Yuansheng Ni, Haoran Que, Qiyao Wang, Zhoufutu Wen, Siwei Wu, Tianshun Xing, 许明, Zhenzhu Yang, Zekun Moore Wang, Junting Zhou, Yuelin Bai, Xingyuan Bu, Chenglin Cai, Liang Chen, Yifan Chen, Cheng Chengtuo, Tianhao Cheng, Keyi Ding, Siming Huang, Huang Yun, Yaoru Li, Yizhe Li, Zhaoqun Li, Tianhao Liang, Chengdong Lin, Hongquan Lin, Yinghao Ma, Z.Y. Peng, Zifan Peng, Qige Qi, Shi Qiu, Xingwei Qu, Shanghaoran Quan, Yizhou Tan, Zili Wang, 王晨清, Hao Wang, Yiya Wang, Yubo Wang, Jiajun Xu, Kexin Yang, Ruibin Yuan, Yuanhao Yue, Tianyang Zhan, Chun Zhang, Jinyang Zhang, Xiyue Zhang, Owen Xingjian Zhang, Yue Zhang, Yongchi Zhao, Xiangyu Zheng, ChenghuaZhong, Yang Gao, Zhoujun Li, Dayiheng Liu, Qian Liu, Tianyu Liu, Shiwen Ni, Junran Peng, Yujia Qin, Wenbo Su, Guoyin Wang, Shi Wang, Jian Yang, Min Yang, Meng Cao, Xiang Yue, Zhaoxiang Zhang, Wangchunshu Zhou, Jiaheng Liu, Qunshu Lin, Wenhao Huang, Ge Zhang

ICML 2025 The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering Zhuowei Li, Haizhou Shi, Yunhe Gao, Di Liu, Zhenting Wang, Yuxiao Chen, Ting Liu, Long Zhao, Hao Wang, Dimitris N. Metaxas

NeurIPS 2025 Time-O1: Time-Series Forecasting Needs Transformed Label Alignment Hao Wang, Licheng Pan, Zhichao Chen, Xu Chen, Qingyang Dai, Lei Wang, Haoxuan Li, Zhouchen Lin

NeurIPS 2025 Towards Accurate Time Series Forecasting via Implicit Decoding Xinyu Li, Yuchen Luo, Hao Wang, Haoxuan Li, Liuhua Peng, Feng Liu, Yandong Guo, Kun Zhang, Mingming Gong

ICLR 2025 Towards Domain Adaptive Neural Contextual Bandits Ziyan Wang, Xiaoming Huo, Hao Wang

ECML-PKDD 2025 Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Fudong Lin, Jiadong Lou, Hao Wang, Brian Jalaian, Xu Yuan

NeurIPS 2025 Training-Free Bayesianization for Low-Rank Adapters of Large Language Models Haizhou Shi, Yibin Wang, Ligong Han, Huan Zhang, Hao Wang

ICLRW 2025 Training-Free Bayesianization for Low-Rank Adapters of Large Language Models Haizhou Shi, Yibin Wang, Ligong Han, Huan Zhang, Hao Wang

ICLRW 2025 Type-Constrained Code Generation with Language Models Niels Mündler, Jingxuan He, Hao Wang, Koushik Sen, Dawn Song, Martin Vechev

ICML 2025 Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning Hao Wang, Zhichao Chen, Haotian Wang, Yanchao Tan, Licheng Pan, Tianqiao Liu, Xu Chen, Haoxuan Li, Zhouchen Lin

ICCV 2025 Unified Open-World Segmentation with Multi-Modal Prompts Yang Liu, Yufei Yin, Chenchen Jing, Muzhi Zhu, Hao Chen, Yuling Xi, Bo Feng, Hao Wang, Shiyu Li, Chunhua Shen

ICLR 2025 Unveiling the Secret Recipe: A Guide for Supervised Fine-Tuning Small LLMs Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang, Krishnateja Killamsetty, Shivchander Sudalairaj, Wenlong Zhao, Seungwook Han, Abhishek Bhandwaldar, Guangxuan Xu, Kai Xu, Ligong Han, Luke Inglis, Akash Srivastava

AAAI 2025 WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling Huai-An Su, Jiaxiang Geng, Liang Li, Xiaoqi Qin, Yanzhao Hou, Hao Wang, Xin Fu, Miao Pan

AAAI 2024 B-Spine: Learning B-Spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation Hao Wang, Qiang Song, Ruofeng Yin, Rui Ma

NeurIPS 2024 BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models Yibin Wang, Haizhou Shi, Ligong Han, Dimitris Metaxas, Hao Wang

ICLR 2024 Backdoor Federated Learning by Poisoning Backdoor-Critical Layers Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan

NeurIPS 2024 Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation Hangcheng Liu, Zhenhu Wu, Hao Wang, Xingshuo Han, Shangwei Guo, Tao Xiang, Tianwei Zhang

ECCV 2024 Beyond MOT: Semantic Multi-Object Tracking Yunhao Li, Qin Li, Hao Wang, Xue Ma, Jiali Yao, Shaohua Dong, Heng Fan, Libo Zhang

NeurIPS 2024 Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model Wenjia Xie, Hao Wang, Luankang Zhang, Rui Zhou, Defu Lian, Enhong Chen

CVPR 2024 CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion Xiaoyu Wu, Yang Hua, Chumeng Liang, Jiaru Zhang, Hao Wang, Tao Song, Haibing Guan

AAAI 2024 Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning Yanwen Ba, Xuan Liu, Xinning Chen, Hao Wang, Yang Xu, Kenli Li, Shigeng Zhang

AAAI 2024 Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing Hanfei Yu, Jian Li, Yang Hua, Xu Yuan, Hao Wang

TMLR 2024 Chronos: Learning the Language of Time Series Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Turkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Hao Wang, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Bernie Wang

NeurIPS 2024 Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Hao Wang, Yin Gu, Zheng Zhang

AAAI 2024 Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees Guang-Yuan Hao, Hengguan Huang, Haotian Wang, Jie Gao, Hao Wang

ICLR 2024 Continuous Invariance Learning Lin Yong, Fan Zhou, Lu Tan, Lintao Ma, Jianmeng Liu, Yansu He, Yuan Yuan, Yu Liu, James Y. Zhang, Yujiu Yang, Hao Wang

AAAI 2024 DOCTR: Disentangled Object-Centric Transformer for Point Scene Understanding Xiaoxuan Yu, Hao Wang, Weiming Li, Qiang Wang, SoonYong Cho, Younghun Sung

ICML 2024 Delving into Differentially Private Transformer Youlong Ding, Xueyang Wu, Yining Meng, Yonggang Luo, Hao Wang, Weike Pan

JMLR 2024 Efficient Active Manifold Identification via Accelerated Iteratively Reweighted Nuclear Norm Minimization Hao Wang, Ye Wang, Xiangyu Yang

ICLR 2024 Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations Xinyue Xu, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li

NeurIPSW 2024 Energy-Based Conceptual Diffusion Model Yi Qin, Xinyue Xu, Hao Wang, Xiaomeng Li

IJCAI 2024 Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-Based Methods Chuni Liu, Boyuan Ma, Xiaojuan Ban, Yujie Xie, Hao Wang, Weihua Xue, Jingchao Ma, Ke Xu

ECCV 2024 Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder Jiajie Fan, Amal Trigui, Thomas Bäck, Hao Wang

AAAI 2024 FedST: Federated Style Transfer Learning for Non-IID Image Segmentation Boyuan Ma, Xiang Yin, Jing Tan, Yongfeng Chen, Haiyou Huang, Hao Wang, Weihua Xue, Xiaojuan Ban

NeurIPS 2024 FinBen: A Holistic Financial Benchmark for Large Language Models Qianqian Xie, Weiguang Han, Zhengyu Chen, Ruoyu Xiang, Xiao Zhang, Yueru He, Mengxi Xiao, Dong Li, Yongfu Dai, Duanyu Feng, Yijing Xu, Haoqiang Kang, Ziyan Kuang, Chenhan Yuan, Kailai Yang, Zheheng Luo, Tianlin Zhang, Zhiwei Liu, Guojun Xiong, Zhiyang Deng, Yuechen Jiang, Zhiyuan Yao, Haohang Li, Yangyang Yu, Gang Hu, Jiajia Huang, Xiao-Yang Liu, Alejandro Lopez-Lira, Benyou Wang, Yanzhao Lai, Hao Wang, Min Peng, Sophia Ananiadou, Jimin Huang

AAAI 2024 Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing Lyudong Jin, Ming Tang, Meng Zhang, Hao Wang

NeurIPS 2024 GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes Gaochao Song, Chong Cheng, Hao Wang

AAAI 2024 Gradient-Guided Modality Decoupling for Missing-Modality Robustness Hao Wang, Shengda Luo, Guosheng Hu, Jianguo Zhang

NeurIPS 2024 HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection Yuxin Wang, Duanyu Feng, Yongfu Dai, Zhengyu Chen, Jimin Huang, Sophia Ananiadou, Qianqian Xie, Hao Wang

AAAI 2024 Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting Hao Wang

TMLR 2024 Learning Unlabeled Clients Divergence for Federated Semi-Supervised Learning via Anchor Model Aggregation Marawan Elbatel, Hualiang Wang, Jixiang Chen, Hao Wang, Xiaomeng Li

AAAI 2024 Learning to Prompt Knowledge Transfer for Open-World Continual Learning Yujie Li, Xin Yang, Hao Wang, Xiangkun Wang, Tianrui Li

ICLR 2024 MaGIC: Multi-Modality Guided Image Completion Hao Wang, Yongsheng Yu, Tiejian Luo, Heng Fan, Libo Zhang

ECML-PKDD 2024 Memory-Enhanced Emotional Support Conversations with Motivation-Driven Strategy Inference Hao Wang, Bin Guo, Mengqi Chen, Yasan Ding, Qiuyun Zhang, Ying Zhang, Zhiwen Yu

NeurIPS 2024 Natural Counterfactuals with Necessary Backtracking Guang-Yuan Hao, Jiji Zhang, Biwei Huang, Hao Wang, Kun Zhang

AAAI 2024 NeRFail: Neural Radiance Fields-Based Multiview Adversarial Attack Wenxiang Jiang, Hanwei Zhang, Xi Wang, Zhongwen Guo, Hao Wang

ICLR 2024 Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss Hao Wang, Chenyi Zhang, Tongyang Li

NeurIPSW 2024 NetFormer: An Interpretable Model for Recovering Identity and Structure in Neural Population Dynamics Wuwei Zhang, Ziyu Lu, Trung Le, Hao Wang, Uygar Sümbül, Eric Todd SheaBrown, Lu Mi

NeurIPSW 2024 On Calibration of LLM-Based Guard Models for Reliable Content Moderation Hongfu Liu, Hengguan Huang, Hao Wang, Xiangming Gu, Ye Wang

NeurIPS 2024 Privacy Without Noisy Gradients: Slicing Mechanism for Generative Model Training Kristjan Greenewald, Yuancheng Yu, Hao Wang, Kai Xu

ICML 2024 Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models Hengyi Wang, Shiwei Tan, Hao Wang

ICML 2024 Probability Distribution of Hypervolume Improvement in Bi-Objective Bayesian Optimization Hao Wang, Kaifeng Yang, Michael Affenzeller

NeurIPSW 2024 Protecting Users from Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents Ivoline C. Ngong, Swanand Kadhe, Hao Wang, Keerthiram Murugesan, Justin D. Weisz, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy

UAI 2024 Quantifying Representation Reliability in Self-Supervised Learning Models Young-Jin Park, Hao Wang, Shervin Ardeshir, Navid Azizan

ICLR 2024 Raidar: geneRative AI Detection via Rewriting Chengzhi Mao, Carl Vondrick, Hao Wang, Junfeng Yang

NeurIPS 2024 Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective Zhichao Chen, Haoxuan Li, Fangyikang Wang, Odin Zhang, Hu Xu, Xiaoyu Jiang, Zhihuan Song, Hao Wang

IJCAI 2024 Sample Quality Heterogeneity-Aware Federated Causal Discovery Through Adaptive Variable Space Selection Xianjie Guo, Kui Yu, Hao Wang, Lizhen Cui, Han Yu, Xiaoxiao Li

WACV 2024 Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting Song Wen, Hao Wang, Di Liu, Qilong Zhangli, Dimitris Metaxas

AAAI 2024 Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification Zixuan Yuan, Hao Liu, Haoyi Zhou, Denghui Zhang, Xiao Zhang, Hao Wang, Hui Xiong

ECCV 2024 SkyMask: Attack-Agnostic Robust Federated Learning with Fine-Grained Learnable Masks Peishen Yan, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Ningxin Hu, Mohammad Reza Haghighat, Haibing Guan

ICML 2024 TimeMIL: Advancing Multivariate Time Series Classification via a Time-Aware Multiple Instance Learning Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi

AAAI 2024 ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-Guided Optimization Hao Wang, Fang Liu, Licheng Jiao, Jiahao Wang, Zehua Hao, Shuo Li, Lingling Li, Puhua Chen, Xu Liu

AAAI 2024 Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students Towards Three Diagnostic Objectives Weibo Gao, Qi Liu, Hao Wang, Linan Yue, Haoyang Bi, Yin Gu, Fangzhou Yao, Zheng Zhang, Xin Li, Yuanjing He

ICCV 2023 A Good Student Is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation Jinjing Zhu, Yunhao Luo, Xu Zheng, Hao Wang, Lin Wang

NeurIPS 2023 A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm Haizhou Shi, Hao Wang

NeurIPS 2023 Adapting Fairness Interventions to Missing Values Raymond Feng, Flavio Calmon, Hao Wang

NeurIPS 2023 Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions Hao Wang, Luxi He, Rui Gao, Flavio Calmon

NeurIPS 2023 Analyzing Generalization of Neural Networks Through Loss Path Kernels Yilan Chen, Wei Huang, Hao Wang, Charlotte Loh, Akash Srivastava, Lam Nguyen, Lily Weng

ECML-PKDD 2023 Continual Model-Based Reinforcement Learning for Data Efficient Wireless Network Optimisation Cengis Hasan, Alexandros Agapitos, David Lynch, Alberto Castagna, Giorgio Cruciata, Hao Wang, Aleksandar Milenovic

AAAI 2023 DeFL: Defending Against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness Gang Yan, Hao Wang, Xu Yuan, Jian Li

ICLR 2023 Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation Zihao Xu, Guang-Yuan Hao, Hao He, Hao Wang

NeurIPS 2023 Eliminating Domain Bias for Federated Learning in Representation Space Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

AAAI 2023 FedALA: Adaptive Local Aggregation for Personalized Federated Learning Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

AAAI 2023 FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation Xueyang Wu, Hengguan Huang, Youlong Ding, Hao Wang, Ye Wang, Qian Xu

AAAI 2023 Fully Online Matching with Stochastic Arrivals and Departures Zihao Li, Hao Wang, Zhenzhen Yan

ICCV 2023 GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan

AAAI 2023 GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM Silin Zhou, Jing Li, Hao Wang, Shuo Shang, Peng Han

JMLR 2023 Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels Hao Wang, Rui Gao, Flavio P. Calmon

IJCAI 2023 KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen

ICCV 2023 Landscape Learning for Neural Network Inversion Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick

ICLR 2023 Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia

CVPRW 2023 MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Qingpeng Zhu, Qianhui Sun, Wenxiu Sun, Chen Change Loy, Jinwei Gu, Shuai Liu, Hao Wang, Chaoyu Feng, Luyang Wang, Guangqi Shao, Chenguang Zhang, Xiaotao Wang, Lei Lei, Dafeng Zhang, Xiangyu Kong, Guanqun Liu, Mengmeng Bai, Jia Ouyang, Xiaobing Wang, Jiahui Yuan, Xinpeng Li, Chengzhi Jiang, Ting Jiang, Wenjie Lin, Qi Wu, Mingyan Han, Jinting Luo, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Bo Yan, Zhuang Li, Yadong Li, Hongbin Wang, Soonyong Song, Minghan Fu, Rayyan Azam Khan, Fang-Xiang Wu, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Bo Wang, Yan Luo, Shuaibo Gao, Wenhui Wu, Sicong Kang, Nikhil Akalwadi, Ankit Raichur, Vinod Patil, Allabakash Ghodesawar, Swaroop Adrashyappanamath, Amogh Joshi, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Sicheng Li, Ruoxi Zhu, Jiazheng Lian, Shusong Xu, Zihao Liu, Sabari Nathan, Priya Kansal

CVPRW 2023 NTIRE 2023 Challenge on Image Denoising: Methods and Results Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Zhijun Tu, Kunpeng Du, Hailing Wang, Hanting Chen, Wei Li, Xiaofei Wang, Jie Hu, Yunhe Wang, Xiangyu Kong, Jinlong Wu, Dafeng Zhang, Jianxing Zhang, Shuai Liu, Furui Bai, Chaoyu Feng, Hao Wang, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Rongjian Xu, Zhilu Zhang, Yunjin Chen, Dongwei Ren, Wangmeng Zuo, Qi Wu, Mingyan Han, Shen Cheng, Haipeng Li, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Jinting Luo, Wenjie Lin, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Aditya Arora, Syed Waqas Zamir, Javier Vazquez-Corral, Konstantinos G. Derpanis, Michael S. Brown, Hao Li, Zhihao Zhao, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bo Yang, Jingxiang Chen, Chenghua Li, Xi Zhang, Zhao Zhang, Jiahuan Ren, Zhicheng Ji, Kang Miao, Suiyi Zhao, Huan Zheng, Yanyan Wei, Kangliang Liu, Xiangcheng Du, Sijie Liu, Yingbin Zheng, Xingjiao Wu, Cheng Jin, Rajeev Irny, Sriharsha Koundinya, Vighnesh Kamath, Gaurav Khandelwal, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Shijie Chen, Chengqiang Zhao, Huabin Yang, Zhongjian Zhang, Junjia Huang, Yanru Zhang

CVPRW 2023 NTIRE 2023 Challenge on Night Photography Rendering Alina Shutova, Egor I. Ershov, Georgy Perevozchikov, Ivan Ermakov, Nikola Banic, Radu Timofte, Richard Collins, Maria Efimova, Arseniy P. Terekhin, Simone Zini, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Chunxia Lei, Tingniao Wang, Song Wang, Shuai Liu, Chaoyu Feng, Guangqi Shao, Hao Wang, Xiaotao Wang, Lei Lei, Lu Xu, Chao Zhang, Yasi Wang, Jin Guo, Yangfan Sun, Tianli Liu, Dejun Hao, Furkan Kinli, Baris Özcan, Furkan Kiraç, Hyerin Chung, Nakyung Lee, Sungkeun Kwak, Marcos V. Conde, Tim Seizinger, Florin-Alexandru Vasluianu, Omar Elezabi, Chia-Hsuan Hsieh, Wei-Ting Chen, Hao-Hsiang Yang, Zhi-Kai Huang, Hua-En Chang, I-Hsiang Chen, Yi-Chung Chen, Yuan-Chun Chiang

CVPRW 2023 NTIRE 2023 Video Colorization Challenge Xiaoyang Kang, Xianhui Lin, Kai Zhang, Zheng Hui, Wangmeng Xiang, Jun-Yan He, Xiaoming Li, Peiran Ren, Xuansong Xie, Radu Timofte, Yixin Yang, Jinshan Pan, Zhong Zheng, Peng Qiyan, Jiangxin Zhang, Jinhui Dong, Jinjing Tan, Chi-Chen Lin, Lin Qipei Li, Qirong Liang, Ruipeng Gang, Xiaofeng Liu, Shuang Feng, Shuai Liu, Hao Wang, Chaoyu Feng, Furui Bai, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Siqi Chen, Yu Zhang, Hanning Xu, Zheyuan Liu, Zhao Zhang, Yan Luo, Zhichao Zuo

NeurIPS 2023 Optimal Transport for Treatment Effect Estimation Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang

ICMLW 2023 PMaF: Deep Declarative Layers for Principal Matrix Features Zhiwei Xu, Hao Wang, Yanbin Liu, Stephen Gould

NeurIPS 2023 Post-Processing Private Synthetic Data for Improving Utility on Selected Measures Hao Wang, Shivchander Sudalairaj, John Henning, Kristjan Greenewald, Akash Srivastava

NeurIPS 2023 PreDiff: Precipitation Nowcasting with Latent Diffusion Models Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle Maddix, Yi Zhu, Mu Li, Yuyang Wang

NeurIPSW 2023 PreDiff: Precipitation Nowcasting with Latent Diffusion Models Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Yi Zhu, Mu Li, Bernie Wang

NeurIPS 2023 Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting Marcel Kollovieh, Abdul Fatir Ansari, Michael Bohlke-Schneider, Jasper Zschiegner, Hao Wang, Yuyang Wang

NeurIPS 2023 Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach Haoxuan Li, Kunhan Wu, Chunyuan Zheng, Yanghao Xiao, Hao Wang, Zhi Geng, Fuli Feng, Xiangnan He, Peng Wu

ICML 2023 Robust Perception Through Equivariance Chengzhi Mao, Lingyu Zhang, Abhishek Vaibhav Joshi, Junfeng Yang, Hao Wang, Carl Vondrick

ICML 2023 Self-Interpretable Time Series Prediction with Counterfactual Explanations Jingquan Yan, Hao Wang

NeurIPSW 2023 Self-Supervised Crack Detection in X-Ray Computed Tomography Data of Additive Manufacturing Parts Saber Nemati, Seyedeh Shaghayegh Rabbanian, Hao Wang, Leslie Butler, Shengmin Guo

CVPR 2023 TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision Jiacheng Wei, Hao Wang, Jiashi Feng, Guosheng Lin, Kim-Hui Yap

ICML 2023 Taxonomy-Structured Domain Adaptation Tianyi Liu, Zihao Xu, Hao He, Guang-Yuan Hao, Guang-He Lee, Hao Wang

ICMLW 2023 Towards Effective Data Poisoning for Imbalanced Classification Snigdha Sushil Mishra, Hao He, Hao Wang

AAAI 2023 UCoL: Unsupervised Learning of Discriminative Facial Representations via Uncertainty-Aware Contrast Hao Wang, Min Li, Yangyang Song, Youjian Zhang, Liying Chi

NeurIPS 2023 UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction Yansong Ning, Hao Liu, Hao Wang, Zhenyu Zeng, Hui Xiong

NeurIPS 2023 Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing Ziyan Wang, Hao Wang

IJCAI 2022 "My Nose Is Running." "Are You Also Coughing?": Building a Medical Diagnosis Agent with Interpretable Inquiry Logics Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang

ECCVW 2022 A Three-Stage Model Fusion Method for Out-of-Distribution Generalization Jiahao Wang, Hao Wang, Zhuojun Dong, Hua Yang, Yuting Yang, Qianyue Bao, Fang Liu, Licheng Jiao

CVPR 2022 Bayesian Invariant Risk Minimization Yong Lin, Hanze Dong, Hao Wang, Tong Zhang

NeurIPS 2022 Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalak, Shahab Asoodeh, Flavio Calmon

CVPR 2022 Causal Transportability for Visual Recognition Chengzhi Mao, Kevin Xia, James Wang, Hao Wang, Junfeng Yang, Elias Bareinboim, Carl Vondrick

AAAI 2022 Context Uncertainty in Contextual Bandits with Applications to Recommender Systems Hao Wang, Yifei Ma, Hao Ding, Yuyang Wang

CVPR 2022 DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow Zihua Zheng, Ni Nie, Zhi Ling, Pengfei Xiong, Jiangyu Liu, Hao Wang, Jiankun Li

CVPRW 2022 Deep-FlexISP: A Three-Stage Framework for Night Photography Rendering Shuai Liu, Chaoyu Feng, Xiaotao Wang, Hao Wang, Ran Zhu, Yongqiang Li, Lei Lei

NeurIPS 2022 Density-Driven Regularization for Out-of-Distribution Detection Wenjian Huang, Hao Wang, Jiahao Xia, Chengyan Wang, Jianguo Zhang

ICML 2022 Domain Adaptation for Time Series Forecasting via Attention Sharing Xiaoyong Jin, Youngsuk Park, Danielle Maddix, Hao Wang, Yuyang Wang

NeurIPS 2022 Earthformer: Exploring Space-Time Transformers for Earth System Forecasting Zhihan Gao, Xingjian Shi, Hao Wang, Yi Zhu, Yuyang Wang, Mu Li, Dit-Yan Yeung

NeurIPS 2022 Extrapolative Continuous-Time Bayesian Neural Network for Fast Training-Free Test-Time Adaptation Hengguan Huang, Xiangming Gu, Hao Wang, Chang Xiao, Hongfu Liu, Ye Wang

IJCAI 2022 FOGS: First-Order Gradient Supervision with Learning-Based Graph for Traffic Flow Forecasting Xuan Rao, Hao Wang, Liang Zhang, Jing Li, Shuo Shang, Peng Han

AAAI 2022 Fairness Without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values Haewon Jeong, Hao Wang, Flávio P. Calmon

NeurIPSW 2022 First De-Trend Then Attend: Rethinking Attention for Time-Series Forecasting Xiyuan Zhang, Xiaoyong Jin, Karthick Gopalswamy, Gaurav Gupta, Youngsuk Park, Xingjian Shi, Hao Wang, Danielle C. Maddix, Bernie Wang

ICLR 2022 Graph-Relational Domain Adaptation Zihao Xu, Hao He, Guang-He Lee, Bernie Wang, Hao Wang

CVPRW 2022 Image Quality Assessment with Gradient Siamese Network Heng Cong, Lingzhi Fu, Rongyu Zhang, Yusheng Zhang, Hao Wang, Jiarong He, Jin Gao

AAAI 2022 Improving Bayesian Neural Networks by Adversarial Sampling Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan

CVPR 2022 Knowledge Mining with Scene Text for Fine-Grained Recognition Hao Wang, Junchao Liao, Tianheng Cheng, Zewen Gao, Hao Liu, Bo Ren, Xiang Bai, Wenyu Liu

ACML 2022 Multi-Scale Progressive Gated Transformer for Physiological Signal Classification Wei Zhou, Hao Wang, Yiling Zhang, Cheng Long, Yan Yang, Dongjie Wang

CVPRW 2022 NTIRE 2022 Challenge on Night Photography Rendering Egor I. Ershov, Alexey Savchik, Denis A. Shepelev, Nikola Banic, Michael S. Brown, Radu Timofte, Karlo Koscevic, Michael Freeman, Vasily Tesalin, Dmitry Bocharov, Illya Semenkov, Marko Subasic, Sven Loncaric, Arseniy P. Terekhin, Shuai Liu, Chaoyu Feng, Hao Wang, Ran Zhu, Yongqiang Li, Lei Lei, Zhihao Li, Si Yi, Linghao Han, Ruiqi Wu, Xin Jin, Chunle Guo, Furkan Kinli, Sami Mentes, Baris Özcan, Furkan Kiraç, Simone Zini, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Wei Li, Yipeng Ma, Tao Wang, Ruikang Xu, Fenglong Song, Wei-Ting Chen, Hao-Hsiang Yang, Zhi-Kai Huang, Hua-En Chang, Sy-Yen Kuo, Zhexin Liang, Shangchen Zhou, Ruicheng Feng, Chongyi Li, Xiangyu Chen, Binbin Song, Shile Zhang, Lin Liu, Zhendong Wang, Dohoon Ryu, Hyokyoung Bae, Taesung Kwon, Chaitra Desai, Nikhil Akalwadi, Amogh Joshi, Chinmayee Mandi, Sampada Malagi, Akash Uppin, Sai Sudheer Reddy, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi

CVPRW 2022 NTIRE 2022 Challenge on Perceptual Image Quality Assessment Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Radu Timofte, Yuan Gong, Shanshan Lao, Shuwei Shi, Jiahao Wang, Sidi Yang, Tianhe Wu, Weihao Xia, Yujiu Yang, Mingdeng Cao, Cong Heng, Lingzhi Fu, Rongyu Zhang, Yusheng Zhang, Hao Wang, Hongjian Song, Jing Wang, Haotian Fan, Xiaoxia Hou, Ming Sun, Mading Li, Kai Zhao, Kun Yuan, Zishang Kong, Mingda Wu, Chuanchuan Zheng, Marcos V. Conde, Maxime Burchi, Longtao Feng, Tao Zhang, Yang Li, Jingwen Xu, Haiqiang Wang, Yiting Liao, Junlin Li, Kele Xu, Tao Sun, Yunsheng Xiong, Abhisek Keshari, Komal, Sadbhawana Thakur, Vinit Jakhetiya, Badri N. Subudhi, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Anil Kumar Tiwari

ECCV 2022 On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond Yuzhe Yang, Hao Wang, Dina Katabi

CVPR 2022 OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks Wanyu Lin, Hao Lan, Hao Wang, Baochun Li

AAAI 2022 ProtGNN: Towards Self-Explaining Graph Neural Networks Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee

AAAI 2022 Real-Time Driver-Request Assignment in Ridesourcing Hao Wang, Xiaohui Bei

AAAI 2022 Seizing Critical Learning Periods in Federated Learning Gang Yan, Hao Wang, Jian Li

AAAI 2022 Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss Hao Wang, Euijoon Ahn, Jinman Kim

CVPR 2022 Semi-Supervised Wide-Angle Portraits Correction by Multi-Scale Transformer Fushun Zhu, Shan Zhao, Peng Wang, Hao Wang, Hua Yan, Shuaicheng Liu

ECCV 2022 Social ODE: Multi-Agent Trajectory Forecasting with Neural Ordinary Differential Equations Song Wen, Hao Wang, Dimitris N. Metaxas

JMLR 2022 Towards an Efficient Approach for the Nonconvex Lp Ball Projection: Algorithm and Analysis Xiangyu Yang, Jiashan Wang, Hao Wang

AAAI 2022 Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate Lu Mi, Hao Wang, Yonglong Tian, Hao He, Nir Shavit

TMLR 2022 Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization Wei Wei, Hengguan Huang, Xiangming Gu, Hao Wang, Ye Wang

ICLRW 2022 Zero-Shot Recommender Systems Hao Ding, Anoop Deoras, Bernie Wang, Hao Wang

ICCV 2021 Adversarial Attacks Are Reversible with Natural Supervision Chengzhi Mao, Mia Chiquier, Hao Wang, Junfeng Yang, Carl Vondrick

NeurIPS 2021 Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels Hao Wang, Yizhe Huang, Rui Gao, Flavio Calmon

AAAI 2021 CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts Peixiang Zhong, Di Wang, Pengfei Li, Chen Zhang, Hao Wang, Chunyan Miao

ICCV 2021 Context-Sensitive Temporal Feature Learning for Gait Recognition Xiaohu Huang, Duowang Zhu, Hao Wang, Xinggang Wang, Bo Yang, Botao He, Wenyu Liu, Bin Feng

ICML 2021 Correcting Exposure Bias for Link Recommendation Shantanu Gupta, Hao Wang, Zachary Lipton, Yuyang Wang

ICML 2021 Delving into Deep Imbalanced Regression Yuzhe Yang, Kaiwen Zha, Yingcong Chen, Hao Wang, Dina Katabi

IJCAI 2021 Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval Zhipeng Wang, Hao Wang, Jiexi Yan, Aming Wu, Cheng Deng

CVPR 2021 Face Forgery Detection by 3D Decomposition Xiangyu Zhu, Hao Wang, Hongyan Fei, Zhen Lei, Stan Z. Li

CVPR 2021 Generative Interventions for Causal Learning Chengzhi Mao, Augustine Cha, Amogh Gupta, Hao Wang, Junfeng Yang, Carl Vondrick

IJCAI 2021 GraphMI: Extracting Private Graph Data from Graph Neural Networks Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen

AAAI 2021 HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang

AAAI 2021 Keyword-Guided Neural Conversational Model Peixiang Zhong, Yong Liu, Hao Wang, Chunyan Miao

CVPR 2021 LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution Xin Deng, Hao Wang, Mai Xu, Yichen Guo, Yuhang Song, Li Yang

ICCVW 2021 LUAI Challenge 2021 on Learning to Understand Aerial Images Gui-Song Xia, Jian Ding, Ming Qian, Nan Xue, Jiaming Han, Xiang Bai, Michael Ying Yang, Shengyang Li, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, Qiang Zhou, Chao-hui Yu, Kaixuan Hu, Yingjia Bu, Wenming Tan, Zhe Yang, Wei Li, Shang Liu, Jiaxuan Zhao, Tianzhi Ma, Zi-han Gao, Lingqi Wang, Yi Zuo, Licheng Jiao, Chang Meng, Hao Wang, Jiahao Wang, Yiming Hui, Zhuojun Dong, Jie Zhang, Qianyue Bao, Zixiao Zhang, Fang Liu

NeurIPSW 2021 Language Models as Recommender Systems: Evaluations and Limitations Yuhui Zhang, Hao Ding, Zeren Shui, Yifei Ma, James Zou, Anoop Deoras, Hao Wang

ICCVW 2021 LiteEdge: Lightweight Semantic Edge Detection Network Hao Wang, Hasan Mohamed, Zuowen Wang, Bodo Rueckauer, Shih-Chii Liu

NeurIPS 2021 Motif-Based Graph Self-Supervised Learning for Molecular Property Prediction Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Chee-Kong Lee

ICCV 2021 Paint Transformer: Feed Forward Neural Painting with Stroke Prediction Songhua Liu, Tianwei Lin, Dongliang He, Fu Li, Ruifeng Deng, Xin Li, Errui Ding, Hao Wang

ICML 2021 STRODE: Stochastic Boundary Ordinary Differential Equation Hengguan Huang, Hongfu Liu, Hao Wang, Chang Xiao, Ye Wang

CVPR 2021 Scene Text Retrieval via Joint Text Detection and Similarity Learning Hao Wang, Xiang Bai, Mingkun Yang, Shenggao Zhu, Jing Wang, Wenyu Liu

ICCV 2021 Self-Supervised Vessel Segmentation via Adversarial Learning Yuxin Ma, Yang Hua, Hanming Deng, Tao Song, Hao Wang, Zhengui Xue, Heng Cao, Ruhui Ma, Haibing Guan

CVPR 2021 Structured Multi-Level Interaction Network for Video Moment Localization via Language Query Hao Wang, Zheng-Jun Zha, Liang Li, Dong Liu, Jiebo Luo

IJCAI 2021 Themis: A Fair Evaluation Platform for Computer Vision Competitions Zinuo Cai, Jianyong Yuan, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ningxin Hu, Jonathan Ding, Ruhui Ma, Mohammad Reza Haghighat, Haibing Guan

AAAI 2021 Towards Efficient Selection of Activity Trajectories Based on Diversity and Coverage Chengcheng Yang, Lisi Chen, Hao Wang, Shuo Shang

AAAI 2020 All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting Hao Wang, Pu Lu, Hui Zhang, Mingkun Yang, Xiang Bai, Yongchao Xu, Mengchao He, Yongpan Wang, Wenyu Liu

ECCV 2020 Beyond 3DMM Space: Towards Fine-Grained 3D Face Reconstruction Xiangyu Zhu, Fan Yang, Di Huang, Chang Yu, Hao Wang, Jianzhu Guo, Zhen Lei, Stan Z. Li

ECML-PKDD 2020 Calibrating User Response Predictions in Online Advertising Chao Deng, Hao Wang, Qing Tan, Jian Xu, Kun Gai

AAAI 2020 Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries Hao Wang, Cheng Deng, Fan Ma, Yi Yang

IJCAI 2020 Contextualized Point-of-Interest Recommendation Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang

ECML-PKDD 2020 Continual Learning with Knowledge Transfer for Sentiment Classification Zixuan Ke, Bing Liu, Hao Wang, Lei Shu

ICML 2020 Continuously Indexed Domain Adaptation Hao Wang, Hao He, Dina Katabi

ICML 2020 Deep Graph Random Process for Relational-Thinking-Based Speech Recognition Hengguan Huang, Fuzhao Xue, Hao Wang, Ye Wang

IJCAI 2020 Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval Xinxun Xu, Muli Yang, Yanhua Yang, Hao Wang

ECCV 2020 Structure-Aware Generation Network for Recipe Generation from Images Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao

AAAI 2019 Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi

ACML 2019 Forward and Backward Knowledge Transfer for Sentiment Classification Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang

IJCAI 2019 Measuring Structural Similarities in Finite MDPs Hao Wang, Shaokang Dong, Ling Shao

ICLR 2019 ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees Hao He, Hao Wang, Guang-He Lee, Yonglong Tian

AAAI 2019 Recurrent Poisson Process Unit for Speech Recognition Hengguan Huang, Hao Wang, Brian Mak

ICML 2019 Repairing Without Retraining: Avoiding Disparate Impact with Counterfactual Distributions Hao Wang, Berk Ustun, Flavio Calmon

AAAI 2019 Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video Classification De Xie, Cheng Deng, Hao Wang, Chao Li, Dapeng Tao

IJCAI 2019 Spectral Perturbation Meets Incomplete Multi-View Data Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou

IJCAI 2018 Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation Hao Wang, Huawei Shen, Wentao Ouyang, Xueqi Cheng

AAAI 2018 Information-Theoretic Domain Adaptation Under Severe Noise Conditions Wei Wang, Hao Wang, Zhi-Yong Ran, Ran He

ECML-PKDD 2018 Online Feature Selection by Adaptive Sub-Gradient Methods Tingting Zhai, Hao Wang, Frédéric Koriche, Yang Gao

ECCV 2018 Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition Yitong Wang, Dihong Gong, Zheng Zhou, Xing Ji, Hao Wang, Zhifeng Li, Wei Liu, Tong Zhang

IJCAI 2018 Redundancy-Resistant Generative Hashing for Image Retrieval Changying Du, Xingyu Xie, Changde Du, Hao Wang

NeurIPS 2017 Deep Learning for Precipitation Nowcasting: A Benchmark and a New Model Xingjian Shi, Zhihan Gao, Leonard Lausen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, Wang-chun Woo

ICCV 2017 Detecting Faces Using Inside Cascaded Contextual CNN Kaipeng Zhang, Zhanpeng Zhang, Hao Wang, Zhifeng Li, Yu Qiao, Wei Liu

AAAI 2017 Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation Wei Wang, Hao Wang, Chen Zhang, Yang Gao

CVPR 2017 Real-Time Neural Style Transfer for Videos Haozhi Huang, Hao Wang, Wenhan Luo, Lin Ma, Wenhao Jiang, Xiaolong Zhu, Zhifeng Li, Wei Liu

AAAI 2017 Relational Deep Learning: A Deep Latent Variable Model for Link Prediction Hao Wang, Xingjian Shi, Dit-Yan Yeung

ICLR 2017 Transfer of View-Manifold Learning to Similarity Perception of Novel Objects Xingyu Lin, Hao Wang, Zhihao Li, Yimeng Zhang, Alan L. Yuille, Tai Sing Lee

NeurIPS 2016 Collaborative Recurrent Autoencoder: Recommend While Learning to Fill in the Blanks Hao Wang, Xingjian Shi, Dit-Yan Yeung

AAAI 2016 Efficient Average Reward Reinforcement Learning Using Constant Shifting Values Shangdong Yang, Yang Gao, Bo An, Hao Wang, Xingguo Chen

ECCV 2016 Hierarchical Dynamic Parsing and Encoding for Action Recognition Bing Su, Jiahuan Zhou, Xiaoqing Ding, Hao Wang, Ying Wu

NeurIPS 2016 Natural-Parameter Networks: A Class of Probabilistic Neural Networks Hao Wang, Xingjian Shi, Dit-Yan Yeung

CVPR 2016 Online Reconstruction of Indoor Scenes from RGB-D Streams Hao Wang, Jun Wang, Wang Liang

NeurIPS 2015 Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, Wang-chun Woo

AAAI 2015 Relational Stacked Denoising Autoencoder for Tag Recommendation Hao Wang, Xingjian Shi, Dit-Yan Yeung

AAAI 2015 Transfer Feature Representation via Multiple Kernel Learning Wei Wang, Hao Wang, Chen Zhang, Fanjiang Xu

AAAI 2014 Cross-Domain Metric Learning Based on Information Theory Hao Wang, Wei Wang, Chen Zhang, Fanjiang Xu

IJCAI 2013 Collaborative Topic Regression with Social Regularization for Tag Recommendation Hao Wang, Binyi Chen, Wu-Jun Li

IJCAI 2013 Online Egocentric Models for Citation Networks Hao Wang, Wu-Jun Li

ECML-PKDD 2010 Analysis of Large Multi-Modal Social Networks: Patterns and a Generator Nan Du, Hao Wang, Christos Faloutsos

ICML 2010 Online Streaming Feature Selection Xindong Wu, Kui Yu, Hao Wang, Wei Ding

NeurIPS 2007 Parallelizing Support Vector Machines on Distributed Computers Kaihua Zhu, Hao Wang, Hongjie Bai, Jian Li, Zhihuan Qiu, Hang Cui, Edward Y. Chang