Kun He

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 215

Top Venues

Publications

Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He
You Only Need Less Attention at Each Stage in Vision Transformers. CoRR (2024)
Weihao Jiang, Guodong Liu, Di He, Kun He
Boosting Meta-Training with Base Class Information for Few-Shot Learning. CoRR (2024)
Jianrong Zhou, Kun He, Jiongzhi Zheng, Chu-Min Li
Geometric batch optimization for packing equal circles in a circle on large scale. Expert Syst. Appl. 250 (2024)
Boyu Li, Dany Kamuhanda, Kun He
Centroid-Based Multiple Local Community Detection. IEEE Trans. Comput. Soc. Syst. 11 (1) (2024)
Xinze Zhang, Kun He, Qi Sima, Yukun Bao
Error-feedback three-phase optimization to configurable convolutional echo state network for time series forecasting. Appl. Soft Comput. 161 (2024)
Jinsong Chen, Boyu Li, Kun He
Neighborhood convolutional graph neural network. Knowl. Based Syst. 295 (2024)
Jiongzhi Zheng, Zhuo Chen, Chu-Min Li, Kun He
Rethinking the Soft Conflict Pseudo Boolean Constraint on MaxSAT Local Search Solvers. CoRR (2024)
Mingming Jin, Jiongzhi Zheng, Kun He
KD-Club: An Efficient Exact Algorithm with New Coloring-Based Upper Bound for the Maximum k-Defective Clique Problem. AAAI (2024)
Meng Wang, Yanhao Yang, David Bindel, Kun He
Streaming Local Community Detection Through Approximate Conductance. IEEE Trans. Big Data 10 (1) (2024)
Chao Li, Hao Xu, Kun He
Meta-multigraph search: Rethinking meta-structure on heterogeneous information networks. Knowl. Based Syst. 289 (2024)
Yasmeen M. Khedr, Xin Liu, Kun He
TransMix: Crafting highly transferable adversarial examples to evade face recognition models. Image Vis. Comput. 146 (2024)
Jiongzhi Zheng, Jinghui Xue, Kun He, Chu-Min Li, Yanli Liu
An Efficient Evolutionary Algorithm for Diversified Top-k (Weight) Clique Search Problems. CoRR (2024)
Yichen Yang, Xin Liu, Kun He
Fast Adversarial Training against Textual Adversarial Attacks. CoRR (2024)
Weihao Jiang, Chang Liu, Kun He
Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning. CoRR (2024)
Christina Muro, Boyu Li, Kun He
LUSTC: A Novel Approach for Predicting Link States on Dynamic Attributed Networks. IEEE Trans. Comput. Soc. Syst. 11 (1) (2024)
Shuoxi Zhang, Hanpeng Liu, Kun He
Knowledge Distillation via Token-Level Relationship Graph Based on the Big Data Technologies. Big Data Res. 36 (2024)
Delv Lin, Qi Chen, Chengyu Zhou, Kun He
Tracklet-switch and imperceivable adversarial attack against pedestrian Multi-Object Tracking trackers. Appl. Soft Comput. 162 (2024)
Zhen Yu, Zhenhua Chen, Kun He
Query-Efficient Textual Adversarial Example Generation for Black-Box Attacks. NAACL-HLT (2024)
Weihao Jiang, Haoyang Cui, Kun He
Class-relevant Patch Embedding Selection for Few-Shot Image Classification. CoRR (2024)
Jianrong Zhou, Shuo Ren, Kun He, Yanli Liu, Chu-Min Li
An efficient solution space exploring and descent method for packing equal spheres in a sphere. Comput. Oper. Res. 164 (2024)
Yuxuan Wang, Jiongzhi Zheng, Jinyao Xie, Kun He
FIMP-HGA: A Novel Approach to Addressing the Partitioning Min-Max Weighted Matching Problem. CoRR (2024)
Jianrong Zhou, Jiyao He, Kun He
Solution-Hashing Search Based on Layout-Graph Transformation for Unequal Circle Packing. CoRR (2024)
Jinghui Xue, Jiongzhi Zheng, Mingming Jin, Kun He
An Effective Branch-and-Bound Algorithm with New Bounding Methods for the Maximum s-Bundle Problem. CoRR (2024)
Kaiyuan Gao, Qizhi Pei, Jinhua Zhu, Tao Qin, Kun He, Lijun Wu
FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation. CoRR (2024)
Chao Li, Zijie Guo, Qiuting He, Hao Xu, Kun He
Long-range Dependency based Multi-Layer Perceptron for Heterogeneous Information Networks. CoRR (2023)
Yasmeen M. Khedr, Yifeng Xiong, Kun He
Semantic Adversarial Attacks on Face Recognition Through Significant Attributes. Int. J. Comput. Intell. Syst. 16 (1) (2023)
Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian
Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem. AAAI (2023)
Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li
Reinforced Lin-Kernighan-Helsgaun algorithms for the traveling salesman problems. Knowl. Based Syst. 260 (2023)
Xiaosen Wang, Kangheng Tong, Kun He
Rethinking the Backward Propagation for Adversarial Transferability. CoRR (2023)
Jia Ning, Chen Li, Zheng Zhang, Zigang Geng, Qi Dai, Kun He, Han Hu
All in Tokens: Unifying Output Space of Visual Tasks via Soft Token. CoRR (2023)
Jinsong Chen, Gaichao Li, John E. Hopcroft, Kun He
SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning. CoRR (2023)
Kun He, Sizhe Li, Enze Sun, Yuyi Wang, Roger Wattenhofer, Weihao Zhu
Randomized Algorithm for MPMD on Two Sources. WINE (2023)
Xu Han, Anmin Liu, Chenxuan Yao, Yanbo Fan, Kun He
Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks. CoRR (2023)
Yu-Zhe Shi, Manjie Xu, John E. Hopcroft, Kun He, Joshua B. Tenenbaum, Song-Chun Zhu, Ying Nian Wu, Wenjuan Han, Yixin Zhu
On the Complexity of Bayesian Generalization. ICML (2023)
Jinsong Chen, Kaiyuan Gao, Gaichao Li, Kun He
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs. ICLR (2023)
Guodong Liu, Tongling Wang, Shuoxi Zhang, Kun He
Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning. BMVC (2023)
Zhen Yu, Zhou Qin, Zhenhua Chen, Meihui Lian, Haojun Fu, Weigao Wen, Hui Xue, Kun He
Sparse Black-Box Multimodal Attack for Vision-Language Adversary Generation. EMNLP (Findings) (2023)
Jinsong Chen, Chang Liu, Kaiyuan Gao, Gaichao Li, Kun He
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs. CoRR (2023)
Jia Ning, Chen Li, Zheng Zhang, Chunyu Wang, Zigang Geng, Qi Dai, Kun He, Han Hu
All in Tokens: Unifying Output Space of Visual Tasks via Soft Token. ICCV (2023)
Jianrong Zhou, Shuo Ren, Kun He, Yanli Liu, Chu-Min Li
An Efficient Solution Space Exploring and Descent Method for Packing Equal Spheres in a Sphere. CoRR (2023)
Jiongzhi Zheng, Jialun Zhong, Menglei Chen, Kun He
A reinforced hybrid genetic algorithm for the traveling salesman problem. Comput. Oper. Res. 157 (2023)
Jiongzhi Zheng, Mingming Jin, Yan Jin, Kun He
Relaxed Graph Color Bound for the Maximum k-plex Problem. CoRR (2023)
Afifa Khaled, Chao Li, Jia Ning, Kun He
BCN: Batch Channel Normalization for Image Classification. CoRR (2023)
Meng Wang, Boyu Li, Kun He, John E. Hopcroft
Uncovering the Local Hidden Community Structure in Social Networks. ACM Trans. Knowl. Discov. Data 17 (5) (2023)
Kevin Tole, Rashad Moqa, Jiongzhi Zheng, Kun He
A Simulated Annealing approach for the Circle Bin Packing Problem with Rectangular Items. Comput. Ind. Eng. 176 (2023)
Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu
Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design. KDD (2023)
Jianrong Zhou, Kun He, Jiongzhi Zheng, Chu-Min Li
Geometric Batch Optimization for the Packing Equal Circles in a Circle Problem on Large Scale. CoRR (2023)
Jiongzhi Zheng, Mingming Jin, Kun He
KD-Club: An Efficient Exact Algorithm with New Coloring-based Upper Bound for the Maximum k-Defective Clique Problem. CoRR (2023)
Gaichao Li, Jinsong Chen, John E. Hopcroft, Kun He
Diversified Node Sampling based Hierarchical Transformer Pooling for Graph Representation Learning. CoRR (2023)
Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan
FABind: Fast and Accurate Protein-Ligand Binding. NeurIPS (2023)
Jiongzhi Zheng, Kun He, Jianrong Zhou
Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT Solvers. AAAI (2023)
Xiaosen Wang, Kangheng Tong, Kun He
Rethinking the Backward Propagation for Adversarial Transferability. NeurIPS (2023)
Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan
FABind: Fast and Accurate Protein-Ligand Binding. CoRR (2023)
Shuoxi Zhang, Hanpeng Liu, Kun He
Knowledge Distillation via Token-level Relationship Graph. CoRR (2023)
Chao Li, Hao Xu, Kun He
Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks. AAAI (2023)
Yanli Liu, Jiming Zhao, Chu-Min Li, Hua Jiang, Kun He
Hybrid Learning with New Value Function for the Maximum Common Induced Subgraph Problem. AAAI (2023)
Yasmeen M. Khedr, Yifeng Xiong, Kun He
Semantic Adversarial Attacks on Face Recognition through Significant Attributes. CoRR (2023)
Christina Muro, Boyu Li, Kun He
Link Prediction and Unlink Prediction on Dynamic Networks. IEEE Trans. Comput. Soc. Syst. 10 (2) (2023)
Kun He, Xin Liu, Yichen Yang, Zhou Qin, Weigao Wen, Hui Xue, John E. Hopcroft
PIAT: Parameter Interpolation based Adversarial Training for Image Classification. CoRR (2023)
Haobo Lu, Xin Liu, Kun He
AutoAugment Input Transformation for Highly Transferable Targeted Attacks. CoRR (2023)
Yibin Wang, Yichen Yang, Di He, Kun He
Robustness-Aware Word Embedding Improves Certified Robustness to Adversarial Word Substitutions. ACL (Findings) (2023)
Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu
Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design. CoRR (2022)
Gaichao Li, Jinsong Chen, Kun He
Adaptive Multi-Neighborhood Attention based Transformer for Graph Representation Learning. CoRR (2022)
Jianrong Zhou, Kun He, Jiongzhi Zheng, Chu-Min Li, Yanli Liu
A Strengthened Branch and Bound Algorithm for the Maximum Common (Connected) Subgraph Problem. CoRR (2022)
Sizhe Li, Jinghui Xue, Mingming Jin, Kai Wang, Kun He
A 4-Space Bounded Approximation Algorithm for Online Bin Packing Problem. COCOON (2022)
Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu Min Li, Felip Manyà
BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit. CoRR (2022)
Yichen Yang, Xiaosen Wang, Kun He
Robust textual embedding against word-level adversarial attacks. UAI (2022)
Boyu Li, Meng Wang, John E. Hopcroft, Kun He
HoSIM: Higher-order Structural Importance based method for multiple local community detection. Knowl. Based Syst. 256 (2022)
Yifeng Xiong, Jiadong Lin, Min Zhang, John E. Hopcroft, Kun He
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability. CVPR (2022)
Xinsheng Xiong, Xianjia Wang, Kun He
A new allocation rule for the housing market problem with ties. J. Comb. Optim. 43 (1) (2022)
Haohai Sun, Shangyi Geng, Jialun Zhong, Han Hu, Kun He
Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs. EMNLP (2022)
Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li, Felip Manyà
Incorporating Multi-armed Bandit with Local Search for MaxSAT. CoRR (2022)
Yan Jin, John H. Drake, Kun He, Una Benlic
Reinforcement learning based coarse-to-fine search for the maximum k-plex problem. Appl. Soft Comput. 131 (2022)
Zhen Yu, Xiaosen Wang, Wanxiang Che, Kun He
TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack. EMNLP (Findings) (2022)
Xiaosen Wang, Yifeng Xiong, Kun He
Detecting textual adversarial examples through randomized substitution and vote. UAI (2022)
Yuxuan Wang, Jinyao Xie, Jiongzhi Zheng, Kun He
An Efficient Algorithm for the Partitioning Min-Max Weighted Matching Problem. CoRR (2022)
Jianrong Zhou, Kun He, Jiongzhi Zheng, Chu-Min Li, Yanli Liu
A Strengthened Branch and Bound Algorithm for the Maximum Common (Connected) Subgraph Problem. IJCAI (2022)
Yanhao Yang, Pan Shi, Yuyi Wang, Kun He
Quadratic Optimization based Clique Expansion for overlapping community detection. Knowl. Based Syst. 247 (2022)
Chao Li, Hao Xu, Kun He
Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks. CoRR (2022)
Chu-Min Li, Zhenxing Xu, Jordi Coll, Felip Manyà, Djamal Habet, Kun He
Combining Clause Learning and Branch and Bound for MaxSAT (Extended Abstract). IJCAI (2022)
Zhen Yu, Xiaosen Wang, Wanxiang Che, Kun He
Learning-based Hybrid Local Search for the Hard-label Textual Attack. CoRR (2022)
Yanli Liu, Jiming Zhao, Chu-Min Li, Hua Jiang, Kun He
Hybrid Learning with New Value Function for the Maximum Common Subgraph Problem. CoRR (2022)
Yan Jin, Bowen Xiong, Kun He, Yangming Zhou, Yi Zhou
On fast enumeration of maximal cliques in large graphs. Expert Syst. Appl. 187 (2022)
Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li
Reinforced Lin-Kernighan-Helsgaun Algorithms for the Traveling Salesman Problems. CoRR (2022)
Yu-Zhe Shi, Manjie Xu, John E. Hopcroft, Kun He, Joshua B. Tenenbaum, Song-Chun Zhu, Ying Nian Wu, Wenjuan Han, Yixin Zhu
On the Complexity of Bayesian Generalization. CoRR (2022)
Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li, Felip Manyà
BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit. IJCAI (2022)
Boyu Li, Meng Wang, John E. Hopcroft, Kun He
HoSIM: Higher-order Structural Importance based Method for Multiple Local Community Detection. CoRR (2022)
Jinsong Chen, Boyu Li, Kun He
Neighborhood Convolutional Network: A New Paradigm of Graph Neural Networks for Node Classification. CoRR (2022)
Chu-Min Li, Zhenxing Xu, Jordi Coll, Felip Manyà, Djamal Habet, Kun He
Boosting branch-and-bound MaxSAT solvers with clause learning. AI Commun. 35 (2) (2022)
Shuoxi Zhang, Hanpeng Liu, John E. Hopcroft, Kun He
Class-aware Information for Logit-based Knowledge Distillation. CoRR (2022)
Chao Li, Jia Ning, Han Hu, Kun He
Enhancing the Robustness, Efficiency, and Diversity of Differentiable Architecture Search. CoRR (2022)
Zhen Yu, Yifeng Xiong, Kun He, Shao Huang, Yaodong Zhao, Jie Gu
Position-Invariant Adversarial Attacks on Neural Modulation Recognition. ICASSP (2022)
Yan Jin, Bowen Xiong, Kun He, Jin-Kao Hao, Chu-Min Li, Zhang-Hua Fu
Clustering Driven Iterated Hybrid Search for Vertex Bisection Minimization. IEEE Trans. Computers 71 (10) (2022)
Zengjian Chen, Jin Xu, Meng Liao, Tong Xue, Kun He
Two-phase Multi-document Event Summarization on Core Event Graphs. J. Artif. Intell. Res. 74 (2022)
Yong Yuan, Kevin Tole, Fei Ni, Kun He, Zhengda Xiong, Jinfa Liu
Adaptive simulated annealing with greedy search for the circle bin packing problem. Comput. Oper. Res. 144 (2022)
Yichen Yang, Xiaosen Wang, Kun He
Robust Textual Embedding against Word-level Adversarial Attacks. CoRR (2022)
Jianrong Zhou, Jiongzhi Zheng, Kun He
Effective Variable Depth Local Search for the Budgeted Maximum Coverage Problem. Int. J. Comput. Intell. Syst. 15 (1) (2022)
Kun He, Chang Liu, Stephen Lin, John E. Hopcroft
Local Magnification for Data and Feature Augmentation. CoRR (2022)
Xiaosen Wang, Zeliang Zhang, Kangheng Tong, Dihong Gong, Kun He, Zhifeng Li, Wei Liu
Triangle Attack: A Query-Efficient Decision-Based Adversarial Attack. ECCV (5) (2022)
Jianrong Zhou, Jiongzhi Zheng, Kun He
Effective Variable Depth Local Search for the Budgeted Maximum Coverage Problem. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kun He