Yu, Hao

51 publications

ICLR 2025 Automated Proof Generation for Rust Code via Self-Evolution Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu K Lahiri, Tao Xie, Lidong Zhou

CVPR 2025 ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Hao Yu, Tangyu Jiang, Shuning Jia, Shannan Yan, Shunning Liu, Haolong Qian, Guanghao Li, Shuting Dong, Chun Yuan

ICML 2025 Efficient Federated Incomplete Multi-View Clustering Suyuan Liu, Hao Yu, Hao Tan, Ke Liang, Siwei Wang, Shengju Yu, En Zhu, Xinwang Liu

AAAI 2025 FreeNet: Liberating Depth-Wise Separable Operations for Building Faster Mobile Vision Architectures Hao Yu, Haoyu Chen, Wei Peng, Xu Cheng, Guoying Zhao

CVPR 2025 From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification Yan Jiang, Hao Yu, Xu Cheng, Haoyu Chen, Zhaodong Sun, Guoying Zhao

CVPR 2025 Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor Hao Yu, Xin Yang, Le Zhang, Hanlin Gu, Tianrui Li, Lixin Fan, Qiang Yang

ICCV 2025 Memory-Efficient Generative Models via Product Quantization Jie Shao, Hanxiao Zhang, Hao Yu, Jianxin Wu

ICML 2025 On the Adversarial Robustness of Multi-Kernel Clustering Hao Yu, Weixuan Liang, Ke Liang, Suyuan Liu, Meng Liu, Xinwang Liu

CVPR 2025 Quantization Without Tears Minghao Fu, Hao Yu, Jie Shao, Junjie Zhou, Ke Zhu, Jianxin Wu

NeurIPS 2025 SCOUT: Teaching Pre-Trained Language Models to Enhance Reasoning via Flow Chain-of-Thought Guanghao Li, Wenhao Jiang, Mingfeng Chen, Yan Li, Hao Yu, Shuting Dong, Tao Ren, Ming Tang, Chun Yuan

IJCAI 2025 SandboxSocial: A Sandbox for Social Media Using Multimodal AI Agents Maximilian Puelma Touzel, Sneheel Sarangi, Gayatri Krishnakumar, Busra Tugce Gurbuz, Austin Welch, Zachary Yang, Andreea Musulan, Hao Yu, Ethan Kosak-Hine, Tom Gibbs, Camille Thibault, Reihaneh Rabbany, Jean-François Godbout, Dan Zhao, Kellin Pelrine

NeurIPS 2025 Scalable Cross-View Sample Alignment for Multi-View Clustering with View Structure Similarity Jun Wang, Zhenglai Li, Chang Tang, Suyuan Liu, Hao Yu, Chuan Tang, Miaomiao Li, Xinwang Liu

AAAI 2025 Treasures in Discarded Weights for LLM Quantization Hao Yu, Yang Zhou, Bohua Chen, Zelan Yang, Shen Li, Yong Li, Jianxin Wu

ICCV 2025 VPR-Cloak: A First Look at Privacy Cloak Against Visual Place Recognition Shuting Dong, Mingzhi Chen, Feng Lu, Hao Yu, Guanghao Li, Zhe Wu, Ming Tang, Chun Yuan

ICLR 2025 VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents Xiao Liu, Tianjie Zhang, Yu Gu, Iat Long Iong, Song XiXuan, Yifan Xu, Shudan Zhang, Hanyu Lai, Jiadai Sun, Xinyue Yang, Yu Yang, Zehan Qi, Shuntian Yao, Xueqiao Sun, Siyi Cheng, Qinkai Zheng, Hao Yu, Hanchen Zhang, Wenyi Hong, Ming Ding, Lihang Pan, Xiaotao Gu, Aohan Zeng, Zhengxiao Du, Chan Hee Song, Yu Su, Yuxiao Dong, Jie Tang

AAAI 2025 What Is a Good Question? Assessing Question Quality via Meta-Fact Checking Bo Zhang, Jianghua Zhu, Chaozhuo Li, Hao Yu, Li Kong, Zhan Wang, Dezhuang Miao, Xiaoming Zhang, Junsheng Zhou

ICLR 2024 AgentBench: Evaluating LLMs as Agents Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang

ICML 2024 Decouple Then Classify: A Dynamic Multi-View Labeling Strategy with Shared and Specific Information Xinhang Wan, Jiyuan Liu, Xinwang Liu, Yi Wen, Hao Yu, Siwei Wang, Shengju Yu, Tianjiao Wan, Jun Wang, En Zhu

AAAI 2024 Differentiable Auxiliary Learning for Sketch Re-Identification Xingyu Liu, Xu Cheng, Haoyu Chen, Hao Yu, Guoying Zhao

ECCV 2024 Domain Shifting: A Generalized Solution for Heterogeneous Cross-Modality Person Re-Identification Yan Jiang, Xu Cheng, Hao Yu, Xingyu Liu, Haoyu Chen, Guoying Zhao

ACML 2024 FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity Zaipeng Xie, Li Likun, Xiangbin Chen, Hao Yu, Qian Huang

CVPRW 2024 FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer Xin Gao, Xin Yang, Hao Yu, Yan Kang, Tianrui Li

NeurIPS 2024 InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, Hongxia Yang

CVPR 2024 MatchU: Matching Unseen Objects for 6d Pose Estimation from RGB-D Images Junwen Huang, Hao Yu, Kuan-Ting Yu, Nassir Navab, Slobodan Ilic, Benjamin Busam

NeurIPSW 2024 Simulation System Towards Solving Societal-Scale Manipulation Maximilian Puelma Touzel, Sneheel Sarangi, Austin Welch, Gayatri K, Dan Zhao, Zachary Yang, Hao Yu, Tom Gibbs, Ethan Kosak-Hine, Andreea Musulan, Camille Thibault, Busra Tugce Gurbuz, Reihaneh Rabbany, Jean-François Godbout, Kellin Pelrine

NeurIPSW 2024 Simulation System Towards Solving Societal-Scale Manipulation Maximilian Puelma Touzel, Sneheel Sarangi, Austin Welch, Gayatri K, Dan Zhao, Zachary Yang, Hao Yu, Tom Gibbs, Ethan Kosak-Hine, Andreea Musulan, Camille Thibault, Reihaneh Rabbany, Jean-François Godbout, Kellin Pelrine

ICLR 2024 Variance-Enlarged Poisson Learning for Graph-Based Semi-Supervised Learning with Extremely Sparse Labeled Data Xiong Zhou, Xianming Liu, Hao Yu, Jialiang Wang, Zeke Xie, Junjun Jiang, Xiangyang Ji

NeurIPSW 2024 ZOOPFL: Exploring Black-Box Foundation Models for Personalized Federated Learning Wang Lu, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yao Zhu, Yiqiang Chen, Qiang Yang, Xing Xie, Xiangyang Ji

AAAI 2023 Compressing Transformers: Features Are Low-Rank, but Weights Are Not! Hao Yu, Jianxin Wu

CVPR 2023 Deep Graph-Based Spatial Consistency for Robust Non-Rigid Point Cloud Registration Zheng Qin, Hao Yu, Changjian Wang, Yuxing Peng, Kai Xu

ICCV 2023 Dynamic Hyperbolic Attention Network for Fine Hand-Object Reconstruction Zhiying Leng, Shun-Cheng Wu, Mahdi Saleh, Antonio Montanaro, Hao Yu, Yin Wang, Nassir Navab, Xiaohui Liang, Federico Tombari

ICCV 2023 Modality Unifying Network for Visible-Infrared Person Re-Identification Hao Yu, Xu Cheng, Wei Peng, Weihao Liu, Guoying Zhao

ICCVW 2023 NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-Supervised 6d Object Pose Estimation Fu Li, Shishir Reddy Vutukur, Hao Yu, Ivan Shugurov, Benjamin Busam, Shaowu Yang, Slobodan Ilic

CVPR 2023 Rotation-Invariant Transformer for Point Cloud Matching Hao Yu, Zheng Qin, Ji Hou, Mahdi Saleh, Dongsheng Li, Benjamin Busam, Slobodan Ilic

CVPR 2023 TOPLight: Lightweight Neural Networks with Task-Oriented Pretraining for Visible-Infrared Recognition Hao Yu, Xu Cheng, Wei Peng

WACV 2022 FASSST: Fast Attention Based Single-Stage Segmentation Net for Real-Time Instance Segmentation Yuan Cheng, Rui Lin, Peining Zhen, Tianshu Hou, Chiu Wa Ng, Hai-Bao Chen, Hao Yu, Ngai Wong

CVPR 2022 Geometric Transformer for Fast and Robust Point Cloud Registration Zheng Qin, Hao Yu, Changjian Wang, Yulan Guo, Yuxing Peng, Kai Xu

ECCV 2022 Training Vision Transformers with Only 2040 Images Yun-Hao Cao, Hao Yu, Jianxin Wu

NeurIPS 2021 CoFiNet: Reliable Coarse-to-Fine Correspondences for Robust PointCloud Registration Hao Yu, Fu Li, Mahdi Saleh, Benjamin Busam, Slobodan Ilic

WACV 2021 S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-Shot Segmentation Yuan Cheng, Yuchao Yang, Hai-Bao Chen, Ngai Wong, Hao Yu

ICCVW 2021 Student Engagement Dataset Kevin Delgado, Juan Manuel Origgi, Tania Hasanpoor, Hao Yu, Danielle Allessio, Ivon Arroyo, William Lee, Margrit Betke, Beverly P. Woolf, Sarah Adel Bargal

JMLR 2020 A Low Complexity Algorithm with O(√T) Regret and O(1) Constraint Violations for Online Convex Optimization with Long Term Constraints Hao Yu, Michael J. Neely

IJCAI 2020 A Speech-to-Knowledge-Graph Construction System Xiaoyi Fu, Jie Zhang, Hao Yu, Jiachen Li, Dong Chen, Jie Yuan, Xindong Wu

NeurIPS 2019 A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers Hao Yu

ICML 2019 On the Computation and Communication Complexity of Parallel SGD with Dynamic Batch Sizes for Stochastic Non-Convex Optimization Hao Yu, Rong Jin

ICML 2019 On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization Hao Yu, Rong Jin, Sen Yang

AAAI 2019 Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning Hao Yu, Sen Yang, Shenghuo Zhu

IJCAI 2018 Robust Graph Dimensionality Reduction Xiaofeng Zhu, Cong Lei, Hao Yu, Yonggang Li, Jiangzhang Gan, Shichao Zhang

NeurIPS 2018 Solving Non-Smooth Constrained Programs with Lower Complexity than $\mathcal{O}(1/\varepsilon)$: A Primal-Dual Homotopy Smoothing Approach Xiaohan Wei, Hao Yu, Qing Ling, Michael Neely

AAAI 2018 SqueezedText: A Real-Time Scene Text Recognition by Binary Convolutional Encoder-Decoder Network Zichuan Liu, Yixing Li, Fengbo Ren, Wang Ling Goh, Hao Yu

NeurIPS 2017 Online Convex Optimization with Stochastic Constraints Hao Yu, Michael Neely, Xiaohan Wei