ML Anthology

He, Kun

53 publications

ICML 2025 CAN: Leveraging Clients as Navigators for Generative Replay in Federated Continual Learning Xuankun Rong, Jianshu Zhang, Kun He, Mang Ye
IJCAI 2025 Exact Algorithms with New Upper Bounds for the Maximum K-Plex Problem Jiongzhi Zheng, Mingming Jin, Kun He
ICLR 2025 Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs Yu-Zhe Shi, Mingchen Liu, Fanxu Meng, Qiao Xu, Zhangqian Bi, Kun He, Lecheng Ruan, Qining Wang
AAAI 2025 Neural Collapse Inspired Knowledge Distillation Shuoxi Zhang, Zijian Song, Kun He
ICML 2025 Refining Adaptive Zeroth-Order Optimization at Ease Yao Shu, Qixin Zhang, Kun He, Zhongxiang Dai
NeurIPS 2025 Rethinking Tokenized Graph Transformers for Node Classification Jinsong Chen, Chenyang Li, Gaichao Li, John E. Hopcroft, Kun He
ICML 2025 Targeted Control of Fast Prototyping Through Domain-Specific Interface Yu-Zhe Shi, Mingchen Liu, Hanlu Ma, Qiao Xu, Huamin Qu, Kun He, Lecheng Ruan, Qining Wang
ICCV 2025 ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Hanwen Cao, Haobo Lu, Xiaosen Wang, Kun He
ECCV 2024 Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects Zicong Fan, Takehiko Ohkawa, Linlin Yang, Nie Lin, Zhishan Zhou, Shihao Zhou, Jiajun Liang, Zhong Gao, Xuanyang Zhang, Xue Zhang, Fei Li, Liu Zheng, Feng Lu, Karim Abou Zeid, Bastian Leibe, Jeongwan On, Seungryul Baek, Aditya Prakash, Saurabh Gupta, Kun He, Yoichi Sato, Otmar Hilliges, Hyung Jin Chang, Angela Yao
AAAI 2024 KD-Club: An Efficient Exact Algorithm with New Coloring-Based Upper Bound for the Maximum K-Defective Clique Problem Mingming Jin, Jiongzhi Zheng, Kun He
NeurIPS 2024 Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers Jinsong Chen, Hanpeng Liu, John E. Hopcroft, Kun He
NeurIPS 2024 Long-Range Meta-Path Search on Large-Scale Heterogeneous Graphs Chao Li, Zijie Guo, Qiuting He, Kun He
IJCAI 2024 Rethinking the Soft Conflict Pseudo Boolean Constraint on MaxSAT Local Search Solvers Jiongzhi Zheng, Zhuo Chen, Chu-Min Li, Kun He
CVPR 2024 You Only Need Less Attention at Each Stage in Vision Transformers Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He
ICCV 2023 All in Tokens: Unifying Output Space of Visual Tasks via Soft Token Jia Ning, Chen Li, Zheng Zhang, Chunyu Wang, Zigang Geng, Qi Dai, Kun He, Han Hu
CVPR 2023 AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation Takehiko Ohkawa, Kun He, Fadime Sener, Tomas Hodan, Luan Tran, Cem Keskin
AAAI 2023 Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks Chao Li, Hao Xu, Kun He
NeurIPS 2023 FABind: Fast and Accurate Protein-Ligand Binding Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan
AAAI 2023 Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT Solvers Jiongzhi Zheng, Kun He, Jianrong Zhou
AAAI 2023 Hybrid Learning with New Value Function for the Maximum Common Induced Subgraph Problem Yanli Liu, Jiming Zhao, Chu-Min Li, Hua Jiang, Kun He
ICLR 2023 NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs Jinsong Chen, Kaiyuan Gao, Gaichao Li, Kun He
ICML 2023 On the Complexity of Bayesian Generalization Yu-Zhe Shi, Manjie Xu, John E. Hopcroft, Kun He, Joshua B. Tenenbaum, Song-Chun Zhu, Ying Nian Wu, Wenjuan Han, Yixin Zhu
ICMLW 2023 PIAT: Parameter Interpolation Based Adversarial Training for Image Classification Kun He, Xin Liu, Yichen Yang, Zhou Qin, Weigao Wen, Hui Xue', John E. Hopcroft
AAAI 2023 Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian
NeurIPS 2023 Rethinking the Backward Propagation for Adversarial Transferability Wang Xiaosen, Kangheng Tong, Kun He
WACV 2023 Rethinking the Data Annotation Process for Multi-View 3D Pose Estimation with Active Learning and Self-Training Qi Feng, Kun He, He Wen, Cem Keskin, Yuting Ye
IJCAI 2022 A Strengthened Branch and Bound Algorithm for the Maximum Common (Connected) Subgraph Problem Jianrong Zhou, Kun He, Jiongzhi Zheng, Chu-Min Li, Yanli Liu
CVPR 2022 Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities Fadime Sener, Dibyadip Chatterjee, Daniel Shelepov, Kun He, Dipika Singhania, Robert Wang, Angela Yao
IJCAI 2022 BandMaxSAT: A Local Search MaxSAT Solver with Multi-Armed Bandit Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li, Felip Manyà
IJCAI 2022 Combining Clause Learning and Branch and Bound for MaxSAT (Extended Abstract) Chu-Min Li, Zhenxing Xu, Jordi Coll, Felip Manyà, Djamal Habet, Kun He
UAI 2022 Detecting Textual Adversarial Examples Through Randomized Substitution and Vote Xiaosen Wang, Xiong Yifeng, Kun He
UAI 2022 Robust Textual Embedding Against Word-Level Adversarial Attacks Yichen Yang, Xiaosen Wang, Kun He
CVPR 2022 Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability Yifeng Xiong, Jiadong Lin, Min Zhang, John E. Hopcroft, Kun He
ECCV 2022 Triangle Attack: A Query-Efficient Decision-Based Adversarial Attack Xiaosen Wang, Zeliang Zhang, Kangheng Tong, Dihong Gong, Kun He, Zhifeng Li, Wei Liu
JAIR 2022 Two-Phase Multi-Document Event Summarization on Core Event Graphs Zengjian Chen, Jin Xu, Meng Liao, Tong Xue, Kun He
ICCV 2021 Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang, Xuanran He, Jingdong Wang, Kun He
AAAI 2021 Adversarial Training with Fast Gradient Projection Method Against Synonym Substitution Based Text Attacks Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He
AAAI 2021 Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li
CVPR 2021 Enhancing the Transferability of Adversarial Attacks Through Variance Tuning Xiaosen Wang, Kun He
UAI 2021 Natural Language Adversarial Defense Through Synonym Encoding Xiaosen Wang, Jin Hao, Yichen Yang, Kun He
AAAI 2020 A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems Yanli Liu, Chu-Min Li, Hua Jiang, Kun He
ICLR 2020 Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft
ICLR 2020 Robust Local Features for Improving the Generalization of Adversarial Training Chuanbiao Song, Kun He, Jiadong Lin, Liwei Wang, John E. Hopcroft
ICML 2019 Generalized Majorization-Minimization Sobhan Naderi Parizi, Kun He, Reza Aghajani, Stan Sclaroff, Pedro Felzenszwalb
ICLR 2019 Improving the Generalization of Adversarial Training with Domain Adaptation Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft
AAAI 2019 Multilevel Language and Vision Integration for Text-to-CLIP Retrieval Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko
ECCV 2018 Hashing with Binary Matrix Pursuit Fatih Cakir, Kun He, Stan Sclaroff
NeurIPS 2018 Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation Liwei Wang, Lunjia Hu, Jiayuan Gu, Zhiqiang Hu, Yue Wu, Kun He, John Hopcroft
ECML-PKDD 2017 Local Lanczos Spectral Approximation for Community Detection Pan Shi, Kun He, David Bindel, John E. Hopcroft
ICCV 2017 MIHash: Online Hashing with Mutual Information Fatih Cakir, Kun He, Sarah Adel Bargal, Stan Sclaroff
NeurIPS 2016 A Powerful Generative Model Using Random Weights for the Deep Image Representation Kun He, Yan Wang, John Hopcroft
ECCV 2014 Parameterizing Object Detectors in the Continuous Pose Space Kun He, Leonid Sigal, Stan Sclaroff
CVPR 2012 Scale Resilient, Rotation Invariant Articulated Object Matching Hao Jiang, Tai-Peng Tian, Kun He, Stan Sclaroff