ML Anthology

Wang, Haonan

41 publications

CVPR 2025 Bridge Frame and Event: Common Spatiotemporal Fusion for High-Dynamic Scene Optical Flow Hanyu Zhou, Haonan Wang, Haoyue Liu, Yuxing Duan, Yi Chang, Luxin Yan
NeurIPS 2025 Generation as Search Operator for Test-Time Scaling of Diffusion-Based Combinatorial Optimization Yang Li, Lvda Chen, Haonan Wang, Runzhong Wang, Junchi Yan
NeurIPS 2025 Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes Haonan Wang, Hanyu Zhou, Haoyue Liu, Luxin Yan
ICLR 2025 Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks Lehan Wang, Haonan Wang, Honglong Yang, Jiaji Mao, Zehong Yang, Jun Shen, Xiaomeng Li
ICCV 2025 Neurons: Emulating the Human Visual Cortex Improves Fidelity and Interpretability in fMRI-to-Video Reconstruction Haonan Wang, Qixiang Zhang, Lehan Wang, Xuanqi Huang, Xiaomeng Li
NeurIPS 2025 NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation Xiangyan Liu, Jinjie Ni, Zijian Wu, Chao Du, Longxu Dou, Haonan Wang, Tianyu Pang, Michael Qizhe Shieh
AISTATS 2025 Quantifying the Optimization and Generalization Advantages of Graph Neural Networks over Multilayer Perceptrons Wei Huang, Yuan Cao, Haonan Wang, Xin Cao, Taiji Suzuki
ICCV 2025 STD-GS: Exploring Frame-Event Interaction for SpatioTemporal-Disentangled Gaussian Splatting to Reconstruct High-Dynamic Scene Hanyu Zhou, Haonan Wang, Haoyue Liu, Yuxing Duan, Luxin Yan, Gim Hee Lee
NeurIPS 2025 SkyLadder: Better and Faster Pretraining via Context Window Scheduling Tongyao Zhu, Qian Liu, Haonan Wang, Shiqi Chen, Xiangming Gu, Tianyu Pang, Min-Yen Kan
NeurIPS 2025 Switchable Token-Specific Codebook Quantization for Face Image Compression Yongbo Wang, Haonan Wang, Guodong Mu, Ruixin Zhang, Chen Jiaqi, Jingyun Zhang, Jun Wang, Yuan Xie, Zhizhong Zhang, Shouhong Ding
ICCV 2025 Token Activation mAP to Visually Explain Multimodal LLMs Yi Li, Hualiang Wang, Xinpeng Ding, Haonan Wang, Xiaomeng Li
ICCV 2025 TrackAny3D: Transferring Pretrained 3D Models for Category-Unified 3D Point Cloud Tracking Mengmeng Wang, Haonan Wang, Yulong Li, Xiangjie Kong, Jiaxin Du, Guojiang Shen, Feng Xia
TMLR 2025 When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training Haonan Wang, Qian Liu, Chao Du, Tongyao Zhu, Cunxiao Du, Kenji Kawaguchi, Tianyu Pang
NeurIPS 2025 ZEBRA: Towards Zero-Shot Cross-Subject Generalization for Universal Brain Visual Decoding Haonan Wang, Jingyu Lu, Hongrui Li, Xiaomeng Li
CVPR 2024 AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation Haonan Wang, Qixiang Zhang, Yi Li, Xiaomeng Li
NeurIPSW 2024 DynoClass: A Dynamic Table-Class Detection System Without the Need for Predefined Ontologies Haonan Wang, Eugene Wu, Kechen Liu, Jiaxiang Liu
CVPR 2024 Efficient Dataset Distillation via Minimax Diffusion Jianyang Gu, Saeed Vahidian, Vyacheslav Kungurtsev, Haonan Wang, Wei Jiang, Yang You, Yiran Chen
ECCV 2024 GTPT: Group-Based Token Pruning Transformer for Efficient Human Pose Estimation Haonan Wang, Jie Liu, Jie Tang, Gangshan Wu, Bo Xu, Yanbing Chou, Yong Wang
NeurIPSW 2024 LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning Xiang Li, Qianli Shen, Haonan Wang, Kenji Kawaguchi
NeurIPS 2024 Memory-Efficient Gradient Unrolling for Large-Scale Bi-Level Optimization Qianli Shen, Yezhen Wang, Zhouhao Yang, Xiang Li, Haonan Wang, Yang Zhang, Jonathan Scarlett, Zhanxing Zhu, Kenji Kawaguchi
NeurIPSW 2024 MoQ: Mixture-of-Format Activation Quantization for Communication-Efficient AI Inference System Haonan Wang, Zeli Liu, Chao Fang, John Paul Walters, Stephen P. Crago
NeurIPSW 2024 S2L-RM: Short-to-Long Reward Modeling Changyu Chen, Zichen Liu, Haonan Wang, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin
ICML 2024 The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline Haonan Wang, Qianli Shen, Yao Tong, Yang Zhang, Kenji Kawaguchi
NeurIPS 2024 Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Saikat Roy, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Klaus H. Maier-Hein, Paul Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou
NeurIPS 2023 Complexity Matters: Rethinking the Latent Space for Generative Modeling Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li
CVPR 2023 Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation Guozhen Zhang, Yuhan Zhu, Haonan Wang, Youxin Chen, Gangshan Wu, Limin Wang
NeurIPSW 2023 Graph Neural Networks Benefit from Structural Information Provably: A Feature Learning Perspective Wei Huang, Yuan Cao, Haonan Wang, Xin Cao, Taiji Suzuki
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
TMLR 2023 Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang, Kenji Kawaguchi, Xiaokui Xiao
ICCV 2023 Subclass-Balancing Contrastive Learning for Long-Tailed Recognition Chengkai Hou, Jieyu Zhang, Haonan Wang, Tianyi Zhou
NeurIPSW 2023 The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright Breaches Without Adjusting Finetuning Pipeline Haonan Wang, Qianli Shen, Yao Tong, Yang Zhang, Kenji Kawaguchi
NeurIPS 2023 Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation Haonan Wang, Xiaomeng Li
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 Deep Active Learning by Leveraging Training Dynamics Haonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew J Margenot, Jingrui He
AAAI 2022 UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer Haonan Wang, Peng Cao, Jiaqi Wang, Osmar R. Zaïane
NeurIPS 2022 Understanding Programmatic Weak Supervision via Source-Aware Influence Function Jieyu Zhang, Haonan Wang, Cheng-Yu Hsieh, Alexander J Ratner
AAAI 2021 Exploring Explainable Selection to Control Abstractive Summarization Haonan Wang, Yang Gao, Yu Bai, Mirella Lapata, Heyan Huang
IJCAI 2021 Secure Deep Graph Generation with Link Differential Privacy Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun
NeurIPS 2021 Transfer Learning of Graph Neural Networks with Ego-Graph Information Maximization Qi Zhu, Carl Yang, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han
ICMLW 2019 Park: An Open Platform for Learning Augmented Computer Systems Hongzi Mao, Parimarjan Negi, Akshay Narayan, Hanrui Wang, Jiacheng Yang, Haonan Wang, Ryan Marcus, Ravichandra Addanki, Mehrdad Khani, Songtao He, Vikram Nathan, Frank Cangialosi, Shaileshh Bojja Venkatakrishnan, Wei-Hung Weng, Song Han, Tim Kraska, Mohammad Alizadeh
NeurIPS 2019 Park: An Open Platform for Learning-Augmented Computer Systems Hongzi Mao, Parimarjan Negi, Akshay Narayan, Hanrui Wang, Jiacheng Yang, Haonan Wang, Ryan Marcus, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Songtao He, Vikram Nathan, Frank Cangialosi, Shaileshh Venkatakrishnan, Wei-Hung Weng, Song Han, Tim Kraska, Dr.Mohammad Alizadeh