Yu, Haiyang

37 publications

MLJ 2026 FDGReID: Federated Domain Generalization for Person Re-Identification Ke Niu, Haiyang Yu, Teng Fu, Mengyang Zhao, Bin Li, Xuelin Qian, Xiangyang Xue
MLJ 2026 Low-Light Scene Text Image Enhancement in the Wild Haiyang Yu, Wei Lu, Yinglian Zhu, Ke Niu, Xiangyang Xue, Bin Li
FnTML 2025 Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji
ICCV 2025 Authentic 4D Driving Simulation with a Video Generation Model Lening Wang, Wenzhao Zheng, Dalong Du, Yunpeng Zhang, Yilong Ren, Han Jiang, Zhiyong Cui, Haiyang Yu, Jie Zhou, Shanghang Zhang
NeurIPS 2025 CReFT-CAD: Boosting Orthographic Projection Reasoning for CAD via Reinforcement Fine-Tuning Ke Niu, Zhuofan Chen, Haiyang Yu, Yuwen Chen, Teng Fu, Mengyang Zhao, Bin Li, Xiangyang Xue
ICCV 2025 ChatReID: Open-Ended Interactive Person Retrieval via Hierarchical Progressive Tuning for Vision Language Models Ke Niu, Haiyang Yu, Mengyang Zhao, Teng Fu, Siyang Yi, Wei Lu, Bin Li, Xuelin Qian, Xiangyang Xue
ICCV 2025 Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM Han Wang, Yuxiang Nie, Yongjie Ye, Yanjie Wang, Shuai Li, Haiyang Yu, Jinghui Lu, Can Huang
CVPRW 2025 EL-Attack: Explicit and Latent Space Hybrid Optimization Based General and Effective Attack for Autonomous Driving Trajectory Prediction Xuesong Bai, Changhang Tian, Wei Xia, Zhenshu Ma, Haiyang Yu, Yilong Ren
AAAI 2025 Foundation Model Driven Appearance Extraction for Robust Multiple Object Tracking Teng Fu, Haiyang Yu, Ke Niu, Bin Li, Xiangyang Xue
CVPRW 2025 FullCycle: Full Stage Adversarial Attack for Reinforcement Learning Robustness Evaluation Zhenshu Ma, Xuan Cai, Changhang Tian, Yuqi Fan, Kemou Jiang, Gangfu Liu, Xuesong Bai, Aoyong Li, Yilong Ren, Haiyang Yu
ICLR 2025 Learning to Discover Regulatory Elements for Gene Expression Prediction Xingyu Su, Haiyang Yu, Degui Zhi, Shuiwang Ji
NeurIPS 2025 ML4CFD Competition: Results and Retrospective Analysis Mouadh Yagoubi, David Danan, Milad Leyli-abadi, Jocelyn Ahmed Mazari, Jean-Patrick Brunet, Abbas Kabalan, Fabien Casenave, Yuxin Ma, Giovanni Catalani, Jean Fesquet, Jacob Helwig, Xuan Zhang, Haiyang Yu, Xavier Bertrand, Frédéric Tost, Michael Bauerheim, Joseph Morlier, Shuiwang Ji
ICML 2025 On Explaining Equivariant Graph Networks via Improved Relevance Propagation Hongyi Ling, Haiyang Yu, Zhimeng Jiang, Na Zou, Shuiwang Ji
ICLR 2025 On the Role of Attention Heads in Large Language Model Safety Zhenhong Zhou, Haiyang Yu, Xinghua Zhang, Rongwu Xu, Fei Huang, Kun Wang, Yang Liu, Junfeng Fang, Yongbin Li
ICML 2025 SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation Yuqi Fan, Zhiyong Cui, Zhenning Li, Yilong Ren, Haiyang Yu
ICLR 2025 Spectro-Riemannian Graph Neural Networks Karish Grover, Haiyang Yu, Xiang Song, Qi Zhu, Han Xie, Vassilis N. Ioannidis, Christos Faloutsos
ICLR 2025 StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-Time Hybrid Information Structurization Zhuoqun Li, Xuanang Chen, Haiyang Yu, Hongyu Lin, Yaojie Lu, Qiaoyu Tang, Fei Huang, Xianpei Han, Le Sun, Yongbin Li
MLJ 2025 Synthesizing Efficient Data with Diffusion Models for Person Re-Identification Pre-Training Ke Niu, Haiyang Yu, Xuelin Qian, Teng Fu, Bin Li, Xiangyang Xue
NeurIPS 2025 Tensor Decomposition Networks for Fast Machine Learning Interatomic Potential Computations Yuchao Lin, Cong Fu, Zachary Krueger, Haiyang Yu, Maho Nakata, Jianwen Xie, Emine Kucukbenli, Xiaofeng Qian, Shuiwang Ji
MLJ 2024 Chinese Character Recognition with Radical-Structured Stroke Trees Haiyang Yu, Jingye Chen, Bin Li, Xiangyang Xue
IJCAI 2024 DenseKoopman: A Plug-and-Play Framework for Dense Pedestrian Trajectory Prediction Xianbang Li, Yilong Ren, Han Jiang, Haiyang Yu, Yanlei Cui, Liang Xu
ECCV 2024 EAFormer: Scene Text Segmentation with Edge-Aware Transformers Haiyang Yu, Teng Fu, Bin Li, Xiangyang Xue
TMLR 2024 Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm Meng Liu, Haiyang Yu, Shuiwang Ji
TMLR 2024 Equivariant Graph Network Approximations of High-Degree Polynomials for Force Field Prediction Zhao Xu, Haiyang Yu, Montgomery Bohde, Shuiwang Ji
ICML 2024 Language Models Are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch Le Yu, Bowen Yu, Haiyang Yu, Fei Huang, Yongbin Li
ICLR 2024 NetInfoF Framework: Measuring and Exploiting Network Usable Information Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos
AAAI 2024 Preference Ranking Optimization for Human Alignment Feifan Song, Bowen Yu, Minghao Li, Haiyang Yu, Fei Huang, Yongbin Li, Houfeng Wang
NeurIPS 2024 Self-Retrieval: End-to-End Information Retrieval with One Large Language Model Qiaoyu Tang, Jiawei Chen, Zhuoqun Li, Bowen Yu, Yaojie Lu, Cheng Fu, Haiyang Yu, Hongyu Lin, Fei Huang, Ben He, Xianpei Han, Le Sun, Yongbin Li
ICCV 2023 Chinese Text Recognition with a Pre-Trained CLIP-like Model Through Image-IDS Aligning Haiyang Yu, Xiaocong Wang, Bin Li, Xiangyang Xue
ICML 2023 Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian Haiyang Yu, Zhao Xu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
IJCAI 2023 Orientation-Independent Chinese Text Recognition in Scene Images Haiyang Yu, Xiaocong Wang, Bin Li, Xiangyang Xue
NeurIPS 2023 QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules Haiyang Yu, Meng Liu, Youzhi Luo, Alex Strasser, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
IJCAI 2023 Towards Accurate Video Text Spotting with Text-Wise Semantic Reasoning Xinyan Zu, Haiyang Yu, Bin Li, Xiangyang Xue
ICML 2022 GraphFM: Improving Large-Scale GNN Training via Feature Momentum Haiyang Yu, Limei Wang, Bokun Wang, Meng Liu, Tianbao Yang, Shuiwang Ji
AAAI 2022 Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution Jingye Chen, Haiyang Yu, Jianqi Ma, Bin Li, Xiangyang Xue
MLOSS 2021 DIG: A Turnkey Library for Diving into Graph Deep Learning Research Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Haiyang Yu, Zhao Xu, Jingtun Zhang, Yi Liu, Keqiang Yan, Haoran Liu, Cong Fu, Bora M Oztekin, Xuan Zhang, Shuiwang Ji
ICML 2021 On Explainability of Graph Neural Networks via Subgraph Explorations Hao Yuan, Haiyang Yu, Jie Wang, Kang Li, Shuiwang Ji