Kun He - RankMe

318 papers A* 39A 13B 2C 1Misc 8Journal 224Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Alleviating noise memorization for adversarially robust few-shot learning. Neural Networks Yiman Hu, Yixiong Zou, Xiaosen Wang, Yuhua Li, Kun He, Ruixuan Li
2026	J	`jnl`	Boosting the patch-based self-supervised learning through past-to-present smoothing. Pattern Recognit. Hanpeng Liu, Shuoxi Zhang, Kaiyuan Gao, Kun He
2026	J	`jnl`	KVSmooth: Mitigating Hallucination in Multi-modal Large Language Models through Key-Value Smoothing. CoRR Siyu Jiang, Feiyang Chen, Xiaojin Zhang, Kun He
2026	J	`jnl`	Multi-armed Bandit and Backbone boost Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem and its Variants. J. Heuristics Long Wang, Jiongzhi Zheng, Zhengda Xiong, Kun He
2026	J	`jnl`	NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification. IEEE Trans. Big Data Jinsong Chen, Siyu Jiang, Kun He
2026	J	`jnl`	Scaling GraphLLM with Bilevel-Optimized Sparse Querying. CoRR Yangzhe Peng, Haiquan Qiu, Quanming Yao, Kun He
2026	J	`jnl`	Separators in Enhancing Autoregressive Pretraining for Vision Mamba. CoRR Hanpeng Liu, Zidan Wang, Shuoxi Zhang, Kaiyuan Gao, Kun He
2026	J	`jnl`	Siamese transformer networks for few-shot image classification. Appl. Soft Comput. Weihao Jiang, Shuoxi Zhang, Kun He
2026	—	`conf`	Tokenizing 3D Molecule Structure with Quantized Spherical Coordinates. KDD (1) Kaiyuan Gao, Yusong Wang, Haoxiang Guan, Zun Wang, Qizhi Pei, John E. Hopcroft, Kun He, Lijun Wu
2026	J	`jnl`	iGVLM: Dynamic Instruction-Guided Vision Encoding for Question-Aware Multimodal Understanding. CoRR Hanpeng Liu, Yaqian Li, Zidan Wang, Shuoxi Zhang, Zihao Bo, Rinyoichi Takezoe, Kaiwen Long, Kun He
2025	J	`jnl`	Adaptive Channel Allocation for Robust Differentiable Architecture Search. IEEE Trans. Neural Networks Learn. Syst. Chao Li, Jia Ning, Han Hu, Kun He
2025	Misc	`conf`	Advancing SAR Image Robustness: Integrating Diffusion Models for Adversarial Purification and Speckle Noise Suppression. ICASSP Ganglin Xie, Haobo Lu, Xinze Zhang, Kun He
2025	A	`conf`	Attention-Preserving Feature Distortion Method for Highly Transferable Adversarial Attack on Vision Transformers. ECAI Haobo Lu, Hanwen Cao, Kun He
2025	J	`jnl`	Bandit based Dynamic Candidate Edge Selection in Solving Traveling Salesman Problems. CoRR Long Wang, Jiongzhi Zheng, Zhengda Xiong, Chumin Li, Kun He
2025	J	`jnl`	Boosting meta-training with base class information for robust few-shot learning. Eng. Appl. Artif. Intell. Weihao Jiang, Guodong Liu, Di He, Kun He
2025	J	`jnl`	Class Discriminative Knowledge Distillation. IEEE Trans. Emerg. Top. Comput. Intell. Shuoxi Zhang, Hanpeng Liu, Yuyi Wang, Kun He, Jun Lin, Yang Zeng
2025	—	`conf`	CovDocker: Benchmarking Covalent Drug Design with Tasks, Datasets, and Solutions. KDD (2) Yangzhe Peng, Kaiyuan Gao, Liang He, Yuheng Cong, Haiguang Liu, Kun He, Lijun Wu
2025	J	`jnl`	CovDocker: Benchmarking Covalent Drug Design with Tasks, Datasets, and Solutions. CoRR Yangzhe Peng, Kaiyuan Gao, Liang He, Yuheng Cong, Haiguang Liu, Kun He, Lijun Wu
2025	J	`jnl`	DAM-GT: Dual Positional Encoding-Based Attention Masking Graph Transformer for Node Classification. CoRR Chenyang Li, Jinsong Chen, John E. Hopcroft, Kun He
2025	—	`conf`	Enhancing Adversarial Transferability in Visual-Language Pre-training Models via Local Shuffle and Sample-based Attack. NAACL (Findings) Xin Liu, Aoyang Zhou, Kun He
2025	J	`jnl`	Enhancing Adversarial Transferability in Visual-Language Pre-training Models via Local Shuffle and Sample-based Attack. CoRR Xin Liu, Aoyang Zhou, Kun He
2025	J	`jnl`	Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse. CoRR Kun He, Zijian Song, Shuoxi Zhang, John E. Hopcroft
2025	J	`jnl`	Enhancing echo state network with reservoir state selection for time series forecasting. Neurocomputing Qi Sima, Yukun Bao, Xinze Zhang, Kun He, Xin Lai
2025	A*	`conf`	Exact Algorithms with New Upper Bounds for the Maximum k-plex Problem. IJCAI Jiongzhi Zheng, Mingming Jin, Kun He
2025	—	`conf`	FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation. KDD (1) Kaiyuan Gao, Qizhi Pei, Gongbo Zhang, Jinhua Zhu, Kun He, Lijun Wu
2025	Misc	`conf`	Fading-Invariant Adversarial Attacks on Neural Modulation Recognition. ICASSP Xinze Zhang, Dengao Zhu, Xiyao Dong, Kun He
2025	J	`jnl`	GMConv: Modulating Effective Receptive Fields for Convolutional Kernels. IEEE Trans. Neural Networks Learn. Syst. Qi Chen, Chao Li, Jia Ning, Stephen Lin, Kun He
2025	J	`jnl`	GTPool: Graph Transformer Pooling With Diverse Sampling. IEEE Trans. Big Data Gaichao Li, Jinsong Chen, Kun He
2025	A*	`conf`	Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs. ICLR Yu-Zhe Shi, Mingchen Liu, Fanxu Meng, Qiao Xu, Zhangqian Bi, Kun He, Lecheng Ruan, Qining Wang
2025	J	`jnl`	Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs. CoRR Yu-Zhe Shi, Mingchen Liu, Fanxu Meng, Qiao Xu, Zhangqian Bi, Kun He, Lecheng Ruan, Qining Wang
2025	J	`jnl`	Hybrid long-range dependency-aware graph convolutional network for node classification. Knowl. Inf. Syst. Jinsong Chen, Meng Wang, Kun He
2025	A	`conf`	Hyperspherical Dataset Distillation via Contrastive Embedding Alignment. ICME Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He
2025	J	`jnl`	Integrating multi-armed bandit with local search for MaxSAT. Artif. Intell. Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li, Felip Manyà
2025	J	`jnl`	Intra-Task Mutual Attention-Based Vision Transformer for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. Weihao Jiang, Chang Liu, Kun He
2025	J	`jnl`	Learning to Rewrite Prompts for Bootstrapping LLMs on Downstream Tasks. CoRR Qinhao Zhou, Xiang Xiang, Kun He, John E. Hopcroft
2025	J	`jnl`	LocalEscaper: A Weakly-supervised Framework with Regional Reconstruction for Scalable Neural TSP Solvers. CoRR Junrui Wen, Yifei Li, Bart Selman, Kun He
2025	J	`jnl`	Multi-armed Bandit and Backbone boost Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problems. CoRR Long Wang, Jiongzhi Zheng, Zhengda Xiong, Kun He
2025	J	`jnl`	NAGphormer+: A Tokenized Graph Transformer With Neighborhood Augmentation for Node Classification in Large Graphs. IEEE Trans. Big Data Jinsong Chen, Chang Liu, Kaiyuan Gao, Gaichao Li, Kun He
2025	A*	`conf`	Neural Collapse Inspired Knowledge Distillation. AAAI Shuoxi Zhang, Zijian Song, Kun He
2025	J	`jnl`	Online and offline packing cylinders in a cylindrical container. Discret. Appl. Math. Rashad Moqa, Jiongzhi Zheng, Kun He
2025	J	`jnl`	Parameter Interpolation Adversarial Training for Robust Image Classification. CoRR Xin Liu, Yichen Yang, Kun He, John E. Hopcroft
2025	J	`jnl`	Parameter Interpolation Adversarial Training for Robust Image Classification. IEEE Trans. Inf. Forensics Secur. Xin Liu, Yichen Yang, Kun He, John E. Hopcroft
2025	A*	`conf`	Refining Adaptive Zeroth-Order Optimization at Ease. ICML Yao Shu, Qixin Zhang, Kun He, Zhongxiang Dai
2025	J	`jnl`	Refining Adaptive Zeroth-Order Optimization at Ease. CoRR Yao Shu, Qixin Zhang, Kun He, Zhongxiang Dai
2025	J	`jnl`	Residual Learning for Self-Knowledge Distillation: Enhancing Neural Networks Through Consistency Across Layers. IEEE Trans. Big Data Hanpeng Liu, Shuoxi Zhang, Kun He
2025	J	`jnl`	Rethinking Tokenized Graph Transformers for Node Classification. CoRR Jinsong Chen, Chenyang Li, Gaichao Li, John E. Hopcroft, Kun He
2025	J	`jnl`	Solution-hashing search based on layout-graph transformation for unequal circle packing. Eur. J. Oper. Res. Jianrong Zhou, Jiyao He, Kun He
2025	J	`jnl`	Structure Amplification on Multi-layer Stochastic Block Models. ACM Trans. Knowl. Discov. Data Kun He, Xiaodong Xin, Jialu Bao, Meng Wang, Bart Selman, John E. Hopcroft
2025	—	`conf`	Synonym-unaware Fast Adversarial Training against Textual Adversarial Attacks. NAACL (Findings) Yichen Yang, Xin Liu, Kun He
2025	A*	`conf`	Targeted control of fast prototyping through domain-specific interface. ICML Yu-Zhe Shi, Mingchen Liu, Hanlu Ma, Qiao Xu, Huamin Qu, Kun He, Lecheng Ruan, Qining Wang
2025	J	`jnl`	Targeted control of fast prototyping through domain-specific interface. CoRR Yu-Zhe Shi, Mingchen Liu, Hanlu Ma, Qiao Xu, Huamin Qu, Kun He, Lecheng Ruan, Qining Wang
2025	J	`jnl`	Transferable adversarial attacks against face recognition using surrogate model fine-tuning. Appl. Soft Comput. Yasmeen M. Khedr, Xin Liu, Haobo Lu, Kun He
2024	J	`jnl`	An Effective Branch-and-Bound Algorithm with New Bounding Methods for the Maximum s-Bundle Problem. CoRR Jinghui Xue, Jiongzhi Zheng, Mingming Jin, Kun He
2024	J	`jnl`	An Efficient Evolutionary Algorithm for Diversified Top-k (Weight) Clique Search Problems. CoRR Jiongzhi Zheng, Jinghui Xue, Kun He, Chu-Min Li, Yanli Liu
2024	J	`jnl`	An efficient solution space exploring and descent method for packing equal spheres in a sphere. Comput. Oper. Res. Jianrong Zhou, Shuo Ren, Kun He, Yanli Liu, Chu-Min Li
2024	J	`jnl`	Boosting Meta-Training with Base Class Information for Few-Shot Learning. CoRR Weihao Jiang, Guodong Liu, Di He, Kun He
2024	J	`jnl`	Centroid-Based Multiple Local Community Detection. IEEE Trans. Comput. Soc. Syst. Boyu Li, Dany Kamuhanda, Kun He
2024	J	`jnl`	Class-relevant Patch Embedding Selection for Few-Shot Image Classification. CoRR Weihao Jiang, Haoyang Cui, Kun He
2024	A	`conf`	DiverTEAM: An Effective Evolutionary Algorithm for Diversified Top-k (Weight) Clique Search Problems. ECAI Jinghui Xue, Jiongzhi Zheng, Kun He, Chu-Min Li, Yanli Liu
2024	J	`jnl`	Error-feedback three-phase optimization to configurable convolutional echo state network for time series forecasting. Appl. Soft Comput. Xinze Zhang, Kun He, Qi Sima, Yukun Bao
2024	J	`jnl`	FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation. CoRR Kaiyuan Gao, Qizhi Pei, Jinhua Zhu, Tao Qin, Kun He, Lijun Wu
2024	J	`jnl`	FIMP-HGA: A Novel Approach to Addressing the Partitioning Min-Max Weighted Matching Problem. CoRR Yuxuan Wang, Jiongzhi Zheng, Jinyao Xie, Kun He
2024	J	`jnl`	Fast Adversarial Training against Textual Adversarial Attacks. CoRR Yichen Yang, Xin Liu, Kun He
2024	J	`jnl`	Feedback-based Modal Mutual Search for Attacking Vision-Language Pre-training Models. CoRR Renhua Ding, Xinze Zhang, Xiao Yang, Kun He
2024	J	`jnl`	Geometric batch optimization for packing equal circles in a circle on large scale. Expert Syst. Appl. Jianrong Zhou, Kun He, Jiongzhi Zheng, Chu-Min Li
2024	A	`conf`	Grouped Logit Distillation Enhanced with Superclass Awareness for Efficient Knowledge Transfer. ECAI Shuoxi Zhang, Hanpeng Liu, Yuyi Wang, Kun He
2024	Misc	`conf`	Image Mixing and Gradient Smoothing to Enhance the SAR Image Attack Transferability. ICASSP Yue Xu, Xin Liu, Kun He, Shao Huang, Yaodong Zhao, Jie Gu
2024	A	`conf`	Improving the Sar Image Adversarial Transferability Through Dual-Loop Ensemble Gradient Attack. ICME Xin Liu, Yue Xu, Kun He
2024	J	`jnl`	Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning. CoRR Weihao Jiang, Chang Liu, Kun He
2024	A*	`conf`	KD-Club: An Efficient Exact Algorithm with New Coloring-Based Upper Bound for the Maximum k-Defective Clique Problem. AAAI Mingming Jin, Jiongzhi Zheng, Kun He
2024	J	`jnl`	Knowledge Distillation via Token-Level Relationship Graph Based on the Big Data Technologies. Big Data Res. Shuoxi Zhang, Hanpeng Liu, Kun He
2024	J	`jnl`	LUSTC: A Novel Approach for Predicting Link States on Dynamic Attributed Networks. IEEE Trans. Comput. Soc. Syst. Christina Muro, Boyu Li, Kun He
2024	A*	`conf`	Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers. NeurIPS Jinsong Chen, Hanpeng Liu, John E. Hopcroft, Kun He
2024	J	`jnl`	Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers. CoRR Jinsong Chen, Hanpeng Liu, John E. Hopcroft, Kun He
2024	A*	`conf`	Long-range Meta-path Search on Large-scale Heterogeneous Graphs. NeurIPS Chao Li, Zijie Guo, Qiuting He, Kun He
2024	J	`jnl`	Meta-multigraph search: Rethinking meta-structure on heterogeneous information networks. Knowl. Based Syst. Chao Li, Hao Xu, Kun He
2024	B	`conf`	Multi-Channel Convolutional Distilled Transformer for Automatic Modulation Classification. IJCNN Zhenhua Chen, Xinze Zhang, Kun He
2024	J	`jnl`	NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification. CoRR Jinsong Chen, Siyu Jiang, Kun He
2024	J	`jnl`	Neighborhood convolutional graph neural network. Knowl. Based Syst. Jinsong Chen, Boyu Li, Kun He
2024	J	`jnl`	Neural Collapse Inspired Knowledge Distillation. CoRR Shuoxi Zhang, Zijian Song, Kun He
2024	J	`jnl`	PAMT: A Novel Propagation-Based Approach via Adaptive Similarity Mask for Node Classification. IEEE Trans. Comput. Soc. Syst. Jinsong Chen, Boyu Li, Qiuting He, Kun He
2024	—	`conf`	Query-Efficient Textual Adversarial Example Generation for Black-Box Attacks. NAACL-HLT Zhen Yu, Zhenhua Chen, Kun He
2024	J	`jnl`	Regional Adversarial Training for Better Robust Generalization. Int. J. Comput. Vis. Chuanbiao Song, Yanbo Fan, Aoyang Zhou, Baoyuan Wu, Yiming Li, Zhifeng Li, Kun He
2024	A*	`conf`	Rethinking the Soft Conflict Pseudo Boolean Constraint on MaxSAT Local Search Solvers. IJCAI Jiongzhi Zheng, Zhuo Chen, Chu-Min Li, Kun He
2024	J	`jnl`	Rethinking the Soft Conflict Pseudo Boolean Constraint on MaxSAT Local Search Solvers. CoRR Jiongzhi Zheng, Zhuo Chen, Chu-Min Li, Kun He
2024	A	`conf`	Sampling-Based Teacher Guided Method to Boost Transferable Attack on SAR Image Classification. ECAI Aoyang Zhou, Yasmeen M. Khedr, Xin Liu, Kun He
2024	A	`conf`	Semantic Similarity Driven Multi-Modal Model for Rumor Detection. ECAI Chenyang Li, Bo Xu, Meng Wang, Kun He
2024	J	`jnl`	Siamese Transformer Networks for Few-shot Image Classification. CoRR Weihao Jiang, Shuoxi Zhang, Kun He
2024	J	`jnl`	Solution-Hashing Search Based on Layout-Graph Transformation for Unequal Circle Packing. CoRR Jianrong Zhou, Jiyao He, Kun He
2024	J	`jnl`	Streaming Local Community Detection Through Approximate Conductance. IEEE Trans. Big Data Meng Wang, Yanhao Yang, David Bindel, Kun He
2024	J	`jnl`	Tokenizing 3D Molecule Structure with Quantized Spherical Coordinates. CoRR Kaiyuan Gao, Yusong Wang, Haoxiang Guan, Zun Wang, Qizhi Pei, John E. Hopcroft, Kun He, Lijun Wu
2024	J	`jnl`	Tracklet-switch and imperceivable adversarial attack against pedestrian Multi-Object Tracking trackers. Appl. Soft Comput. Delv Lin, Qi Chen, Chengyu Zhou, Kun He
2024	J	`jnl`	TransMix: Crafting highly transferable adversarial examples to evade face recognition models. Image Vis. Comput. Yasmeen M. Khedr, Xin Liu, Kun He
2024	A*	`conf`	You Only Need Less Attention at Each Stage in Vision Transformers. CVPR Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He
2024	J	`jnl`	You Only Need Less Attention at Each Stage in Vision Transformers. CoRR Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He
2023	J	`jnl`	A Simulated Annealing approach for the Circle Bin Packing Problem with Rectangular Items. Comput. Ind. Eng. Kevin Tole, Rashad Moqa, Jiongzhi Zheng, Kun He
2023	J	`jnl`	A reinforced hybrid genetic algorithm for the traveling salesman problem. Comput. Oper. Res. Jiongzhi Zheng, Jialun Zhong, Menglei Chen, Kun He
2023	A*	`conf`	All in Tokens: Unifying Output Space of Visual Tasks via Soft Token. ICCV Jia Ning, Chen Li, Zheng Zhang, Chunyu Wang, Zigang Geng, Qi Dai, Kun He, Han Hu
2023	J	`jnl`	All in Tokens: Unifying Output Space of Visual Tasks via Soft Token. CoRR Jia Ning, Chen Li, Zheng Zhang, Zigang Geng, Qi Dai, Kun He, Han Hu
2023	J	`jnl`	An Efficient Solution Space Exploring and Descent Method for Packing Equal Spheres in a Sphere. CoRR Jianrong Zhou, Shuo Ren, Kun He, Yanli Liu, Chu-Min Li
2023	J	`jnl`	AutoAugment Input Transformation for Highly Transferable Targeted Attacks. CoRR Haobo Lu, Xin Liu, Kun He
2023	J	`jnl`	BCN: Batch Channel Normalization for Image Classification. CoRR Afifa Khaled, Chao Li, Jia Ning, Kun He
2023	A*	`conf`	Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks. AAAI Chao Li, Hao Xu, Kun He
2023	J	`jnl`	Diversified Node Sampling based Hierarchical Transformer Pooling for Graph Representation Learning. CoRR Gaichao Li, Jinsong Chen, John E. Hopcroft, Kun He
2023	A*	`conf`	FABind: Fast and Accurate Protein-Ligand Binding. NeurIPS Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan
2023	J	`jnl`	FABind: Fast and Accurate Protein-Ligand Binding. CoRR Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan
2023	A*	`conf`	Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT Solvers. AAAI Jiongzhi Zheng, Kun He, Jianrong Zhou
2023	J	`jnl`	Gaussian Mask Convolution for Convolutional Neural Networks. CoRR Qi Chen, Chao Li, Jia Ning, Kun He
2023	A	`conf`	Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning. BMVC Guodong Liu, Tongling Wang, Shuoxi Zhang, Kun He
2023	J	`jnl`	Geometric Batch Optimization for the Packing Equal Circles in a Circle Problem on Large Scale. CoRR Jianrong Zhou, Kun He, Jiongzhi Zheng, Chu-Min Li
2023	A*	`conf`	Hybrid Learning with New Value Function for the Maximum Common Induced Subgraph Problem. AAAI Yanli Liu, Jiming Zhao, Chu-Min Li, Hua Jiang, Kun He
2023	J	`jnl`	KD-Club: An Efficient Exact Algorithm with New Coloring-based Upper Bound for the Maximum k-Defective Clique Problem. CoRR Jiongzhi Zheng, Mingming Jin, Kun He
2023	J	`jnl`	Knowledge Distillation via Token-level Relationship Graph. CoRR Shuoxi Zhang, Hanpeng Liu, Kun He
2023	J	`jnl`	Link Prediction and Unlink Prediction on Dynamic Networks. IEEE Trans. Comput. Soc. Syst. Christina Muro, Boyu Li, Kun He
2023	J	`jnl`	Local generalization and bucketization technique for personalized privacy preservation. J. King Saud Univ. Comput. Inf. Sci. Boyu Li, Kun He
2023	J	`jnl`	Long-range Dependency based Multi-Layer Perceptron for Heterogeneous Information Networks. CoRR Chao Li, Zijie Guo, Qiuting He, Hao Xu, Kun He
2023	J	`jnl`	Meta-multigraph Search: Rethinking Meta-structure on Heterogeneous Information Networks. CoRR Chao Li, Hao Xu, Kun He
2023	A*	`conf`	NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs. ICLR Jinsong Chen, Kaiyuan Gao, Gaichao Li, Kun He
2023	A*	`conf`	On the Complexity of Bayesian Generalization. ICML Yu-Zhe Shi, Manjie Xu, John E. Hopcroft, Kun He, Joshua B. Tenenbaum, Song-Chun Zhu, Ying Nian Wu, Wenjuan Han, Yixin Zhu
2023	J	`jnl`	PIAT: Parameter Interpolation based Adversarial Training for Image Classification. CoRR Kun He, Xin Liu, Yichen Yang, Zhou Qin, Weigao Wen, Hui Xue, John E. Hopcroft
2023	A*	`conf`	Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem. AAAI Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian
2023	J	`jnl`	Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem. CoRR Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian
2023	A*	`conf`	Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design. KDD Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu
2023	—	`conf`	Randomized Algorithm for MPMD on Two Sources. WINE Kun He, Sizhe Li, Enze Sun, Yuyi Wang, Roger Wattenhofer, Weihao Zhu
2023	J	`jnl`	Reinforced Lin-Kernighan-Helsgaun algorithms for the traveling salesman problems. Knowl. Based Syst. Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li
2023	J	`jnl`	Relaxed Graph Color Bound for the Maximum k-plex Problem. CoRR Jiongzhi Zheng, Mingming Jin, Yan Jin, Kun He
2023	A*	`conf`	Rethinking the Backward Propagation for Adversarial Transferability. NeurIPS Xiaosen Wang, Kangheng Tong, Kun He
2023	J	`jnl`	Rethinking the Backward Propagation for Adversarial Transferability. CoRR Xiaosen Wang, Kangheng Tong, Kun He
2023	—	`conf`	Robustness-Aware Word Embedding Improves Certified Robustness to Adversarial Word Substitutions. ACL (Findings) Yibin Wang, Yichen Yang, Di He, Kun He
2023	J	`jnl`	Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks. CoRR Xu Han, Anmin Liu, Chenxuan Yao, Yanbo Fan, Kun He
2023	J	`jnl`	Semantic Adversarial Attacks on Face Recognition Through Significant Attributes. Int. J. Comput. Intell. Syst. Yasmeen M. Khedr, Yifeng Xiong, Kun He
2023	J	`jnl`	Semantic Adversarial Attacks on Face Recognition through Significant Attributes. CoRR Yasmeen M. Khedr, Yifeng Xiong, Kun He
2023	J	`jnl`	SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning. CoRR Jinsong Chen, Gaichao Li, John E. Hopcroft, Kun He
2023	—	`conf`	Sparse Black-Box Multimodal Attack for Vision-Language Adversary Generation. EMNLP (Findings) Zhen Yu, Zhou Qin, Zhenhua Chen, Meihui Lian, Haojun Fu, Weigao Wen, Hui Xue, Kun He
2023	J	`jnl`	Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs. CoRR Jinsong Chen, Chang Liu, Kaiyuan Gao, Gaichao Li, Kun He
2023	J	`jnl`	Two Independent Teachers are Better Role Model. CoRR Afifa Khaled, Ahmed Ali Mubarak, Kun He
2023	J	`jnl`	Uncovering the Local Hidden Community Structure in Social Networks. ACM Trans. Knowl. Discov. Data Meng Wang, Boyu Li, Kun He, John E. Hopcroft
2022	Misc	`conf`	A 4-Space Bounded Approximation Algorithm for Online Bin Packing Problem. COCOON Sizhe Li, Jinghui Xue, Mingming Jin, Kai Wang, Kun He
2022	A*	`conf`	A Strengthened Branch and Bound Algorithm for the Maximum Common (Connected) Subgraph Problem. IJCAI Jianrong Zhou, Kun He, Jiongzhi Zheng, Chu-Min Li, Yanli Liu
2022	J	`jnl`	A Strengthened Branch and Bound Algorithm for the Maximum Common (Connected) Subgraph Problem. CoRR Jianrong Zhou, Kun He, Jiongzhi Zheng, Chu-Min Li, Yanli Liu
2022	J	`jnl`	A new allocation rule for the housing market problem with ties. J. Comb. Optim. Xinsheng Xiong, Xianjia Wang, Kun He
2022	J	`jnl`	Adaptive Multi-Neighborhood Attention based Transformer for Graph Representation Learning. CoRR Gaichao Li, Jinsong Chen, Kun He
2022	J	`jnl`	Adaptive simulated annealing with greedy search for the circle bin packing problem. Comput. Oper. Res. Yong Yuan, Kevin Tole, Fei Ni, Kun He, Zhengda Xiong, Jinfa Liu
2022	J	`jnl`	An Efficient Algorithm for the Partitioning Min-Max Weighted Matching Problem. CoRR Yuxuan Wang, Jinyao Xie, Jiongzhi Zheng, Kun He
2022	A*	`conf`	BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit. IJCAI Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li, Felip Manyà
2022	J	`jnl`	BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit. CoRR Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu Min Li, Felip Manyà
2022	J	`jnl`	Boosting branch-and-bound MaxSAT solvers with clause learning. AI Commun. Chu-Min Li, Zhenxing Xu, Jordi Coll, Felip Manyà, Djamal Habet, Kun He
2022	J	`jnl`	Class-aware Information for Logit-based Knowledge Distillation. CoRR Shuoxi Zhang, Hanpeng Liu, John E. Hopcroft, Kun He
2022	J	`jnl`	Clustering Driven Iterated Hybrid Search for Vertex Bisection Minimization. IEEE Trans. Computers Yan Jin, Bowen Xiong, Kun He, Jin-Kao Hao, Chu-Min Li, Zhang-Hua Fu
2022	A*	`conf`	Combining Clause Learning and Branch and Bound for MaxSAT (Extended Abstract). IJCAI Chu-Min Li, Zhenxing Xu, Jordi Coll, Felip Manyà, Djamal Habet, Kun He
2022	A	`conf`	Detecting textual adversarial examples through randomized substitution and vote. UAI Xiaosen Wang, Yifeng Xiong, Kun He
2022	J	`jnl`	Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks. CoRR Chao Li, Hao Xu, Kun He
2022	J	`jnl`	Effective Variable Depth Local Search for the Budgeted Maximum Coverage Problem. CoRR Jianrong Zhou, Jiongzhi Zheng, Kun He
2022	J	`jnl`	Effective Variable Depth Local Search for the Budgeted Maximum Coverage Problem. Int. J. Comput. Intell. Syst. Jianrong Zhou, Jiongzhi Zheng, Kun He
2022	J	`jnl`	Enhancing the Robustness, Efficiency, and Diversity of Differentiable Architecture Search. CoRR Chao Li, Jia Ning, Han Hu, Kun He
2022	—	`conf`	GI Tract Lesion Classification Using Multi-task Capsule Networks with Hierarchical Convolutional Layers. CCBR Mumtaz Ali, Chao Li, Kun He
2022	J	`jnl`	Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning. CoRR Guodong Liu, Tongling Wang, Shuoxi Zhang, Kun He
2022	A*	`conf`	Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs. EMNLP Haohai Sun, Shangyi Geng, Jialun Zhong, Han Hu, Kun He
2022	J	`jnl`	HoSIM: Higher-order Structural Importance based Method for Multiple Local Community Detection. CoRR Boyu Li, Meng Wang, John E. Hopcroft, Kun He
2022	J	`jnl`	HoSIM: Higher-order Structural Importance based method for multiple local community detection. Knowl. Based Syst. Boyu Li, Meng Wang, John E. Hopcroft, Kun He
2022	J	`jnl`	Hybrid Learning with New Value Function for the Maximum Common Subgraph Problem. CoRR Yanli Liu, Jiming Zhao, Chu-Min Li, Hua Jiang, Kun He
2022	J	`jnl`	Incorporating Multi-armed Bandit with Local Search for MaxSAT. CoRR Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li, Felip Manyà
2022	J	`jnl`	Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design. CoRR Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu
2022	J	`jnl`	Learning-based Hybrid Local Search for the Hard-label Textual Attack. CoRR Zhen Yu, Xiaosen Wang, Wanxiang Che, Kun He
2022	J	`jnl`	Local Magnification for Data and Feature Augmentation. CoRR Kun He, Chang Liu, Stephen Lin, John E. Hopcroft
2022	J	`jnl`	NAGphormer: Neighborhood Aggregation Graph Transformer for Node Classification in Large Graphs. CoRR Jinsong Chen, Kaiyuan Gao, Gaichao Li, Kun He
2022	J	`jnl`	Neighborhood Convolutional Network: A New Paradigm of Graph Neural Networks for Node Classification. CoRR Jinsong Chen, Boyu Li, Kun He
2022	J	`jnl`	On fast enumeration of maximal cliques in large graphs. Expert Syst. Appl. Yan Jin, Bowen Xiong, Kun He, Yangming Zhou, Yi Zhou
2022	J	`jnl`	On the Complexity of Bayesian Generalization. CoRR Yu-Zhe Shi, Manjie Xu, John E. Hopcroft, Kun He, Joshua B. Tenenbaum, Song-Chun Zhu, Ying Nian Wu, Wenjuan Han, Yixin Zhu
2022	Misc	`conf`	Position-Invariant Adversarial Attacks on Neural Modulation Recognition. ICASSP Zhen Yu, Yifeng Xiong, Kun He, Shao Huang, Yaodong Zhao, Jie Gu
2022	J	`jnl`	Propagation with Adaptive Mask then Training for Node Classification on Attributed Networks. CoRR Jinsong Chen, Boyu Li, Qiuting He, Kun He
2022	J	`jnl`	Quadratic Optimization based Clique Expansion for overlapping community detection. Knowl. Based Syst. Yanhao Yang, Pan Shi, Yuyi Wang, Kun He
2022	J	`jnl`	Reinforced Lin-Kernighan-Helsgaun Algorithms for the Traveling Salesman Problems. CoRR Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li
2022	J	`jnl`	Reinforcement learning based coarse-to-fine search for the maximum k-plex problem. Appl. Soft Comput. Yan Jin, John H. Drake, Kun He, Una Benlic
2022	J	`jnl`	Robust Textual Embedding against Word-level Adversarial Attacks. CoRR Yichen Yang, Xiaosen Wang, Kun He
2022	A	`conf`	Robust textual embedding against word-level adversarial attacks. UAI Yichen Yang, Xiaosen Wang, Kun He
2022	A*	`conf`	Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability. CVPR Yifeng Xiong, Jiadong Lin, Min Zhang, John E. Hopcroft, Kun He
2022	A*	`conf`	Structural Robust Label Propagation on Homogeneous Graphs. ICDM Qiuting He, Jinsong Chen, Hao Xu, Kun He
2022	—	`conf`	TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack. EMNLP (Findings) Zhen Yu, Xiaosen Wang, Wanxiang Che, Kun He
2022	—	`conf`	Triangle Attack: A Query-Efficient Decision-Based Adversarial Attack. ECCV (5) Xiaosen Wang, Zeliang Zhang, Kangheng Tong, Dihong Gong, Kun He, Zhifeng Li, Wei Liu
2022	J	`jnl`	Two-phase Multi-document Event Summarization on Core Event Graphs. J. Artif. Intell. Res. Zengjian Chen, Jin Xu, Meng Liao, Tong Xue, Kun He
2021	A*	`conf`	A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem. KDD Fei Ni, Jianye Hao, Jiawen Lu, Xialiang Tong, Mingxuan Yuan, Jiahui Duan, Yi Ma, Kun He
2021	J	`jnl`	A Quasi-Newton-based Floorplanner for fixed-outline floorplanning. Comput. Oper. Res. Pengli Ji, Kun He, Zhengli Wang, Yan Jin, Jigang Wu
2021	J	`jnl`	Adaptive Simulated Annealing with Greedy Search for the Circle Bin Packing Problem. CoRR Yong Yuan, Kevin Tole, Fei Ni, Kun He, Zhengda Xiong, Jinfa Liu
2021	J	`jnl`	Adaptive large neighborhood search for solving the circle bin packing problem. Comput. Oper. Res. Kun He, Kevin Tole, Fei Ni, Yong Yuan, Linyun Liao
2021	A*	`conf`	Admix: Enhancing the Transferability of Adversarial Attacks. ICCV Xiaosen Wang, Xuanran He, Jingdong Wang, Kun He
2021	J	`jnl`	Admix: Enhancing the Transferability of Adversarial Attacks. CoRR Xiaosen Wang, Xuanran He, Jingdong Wang, Kun He
2021	A*	`conf`	Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks. AAAI Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He
2021	A	`conf`	Boosting Adversarial Transferability through Enhanced Momentum. BMVC Xiaosen Wang, Jiadong Lin, Han Hu, Jingdong Wang, Kun He
2021	J	`jnl`	Boosting Adversarial Transferability through Enhanced Momentum. CoRR Xiaosen Wang, Jiadong Lin, Han Hu, Jingdong Wang, Kun He
2021	A	`conf`	Combining Clause Learning and Branch and Bound for MaxSAT. CP Chu-Min Li, Zhenxing Xu, Jordi Coll, Felip Manyà, Djamal Habet, Kun He
2021	A*	`conf`	Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem. AAAI Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li
2021	—	`conf`	Crafting Adversarial Examples for Neural Machine Translation. ACL/IJCNLP (1) Xinze Zhang, Junzhe Zhang, Zhenhua Chen, Kun He
2021	A*	`conf`	Enhancing the Transferability of Adversarial Attacks Through Variance Tuning. CVPR Xiaosen Wang, Kun He
2021	J	`jnl`	Enhancing the Transferability of Adversarial Attacks through Variance Tuning. CoRR Xiaosen Wang, Kun He
2021	J	`jnl`	Error-feedback stochastic modeling strategy for time series forecasting with convolutional neural networks. Neurocomputing Xinze Zhang, Kun He, Yukun Bao
2021	J	`jnl`	Farsighted Probabilistic Sampling based Local Search for (Weighted) Partial MaxSAT. CoRR Jiongzhi Zheng, Jianrong Zhou, Kun He
2021	J	`jnl`	Integrating Circle Kernels into Convolutional Neural Networks. CoRR Kun He, Chao Li, Yixiao Yang, Gao Huang, John E. Hopcroft
2021	J	`jnl`	Multi-stage Optimization based Adversarial Training. CoRR Xiaosen Wang, Chuanbiao Song, Liwei Wang, Kun He
2021	A	`conf`	Natural language adversarial defense through synonym encoding. UAI Xiaosen Wang, Jin Hao, Yichen Yang, Kun He
2021	J	`jnl`	Probability learning based tabu search for the budgeted maximum coverage problem. Expert Syst. Appl. Liwen Li, Zequn Wei, Jin-Kao Hao, Kun He
2021	J	`jnl`	Randomized Substitution and Vote for Textual Adversarial Example Detection. CoRR Xiaosen Wang, Yifeng Xiong, Kun He
2021	J	`jnl`	Regional Adversarial Training for Better Robust Generalization. CoRR Chuanbiao Song, Yanbo Fan, Yichen Yang, Baoyuan Wu, Yiming Li, Zhifeng Li, Kun He
2021	J	`jnl`	Reinforced Hybrid Genetic Algorithm for the Traveling Salesman Problem. CoRR Jiongzhi Zheng, Menglei Chen, Jialun Zhong, Kun He
2021	J	`jnl`	Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability. CoRR Yifeng Xiong, Jiadong Lin, Min Zhang, John E. Hopcroft, Kun He
2021	J	`jnl`	Streaming Local Community Detection through Approximate Conductance. CoRR Yanhao Yang, Meng Wang, David Bindel, Kun He
2021	J	`jnl`	Structure Amplification on Multi-layer Stochastic Block Models. CoRR Xiaodong Xin, Kun He, Jialu Bao, Bart Selman, John E. Hopcroft
2021	—	`ed.`	Theoretical Computer Science - 38th National Conference, NCTCS 2020, Nanning, China, November 13-15, 2020, Revised Selected Papers NCTCS Kun He, Cheng Zhong, Zhiping Cai, Yitong Yin
2021	—	`conf`	TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting. EMNLP (1) Haohai Sun, Jialun Zhong, Yunpu Ma, Zhen Han, Kun He
2021	J	`jnl`	TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting. CoRR Haohai Sun, Jialun Zhong, Yunpu Ma, Zhen Han, Kun He
2021	J	`jnl`	TraSw: Tracklet-Switch Adversarial Attacks against Multi-Object Tracking. CoRR Delv Lin, Qi Chen, Chengyu Zhou, Kun He
2021	J	`jnl`	Triangle Attack: A Query-efficient Decision-based Adversarial Attack. CoRR Xiaosen Wang, Zeliang Zhang, Kangheng Tong, Dihong Gong, Kun He, Zhifeng Li, Wei Liu
2021	J	`jnl`	Uncovering the Local Hidden Community Structure in Social Networks. CoRR Meng Wang, Boyu Li, Kun He, John E. Hopcroft
2021	J	`jnl`	Unsupervised Link and Unlink Prediction on Dynamic Networks. CoRR Kun He, Christina Muro, Boyu Li
2020	A*	`conf`	A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems. AAAI Yanli Liu, Chu-Min Li, Hua Jiang, Kun He
2020	J	`jnl`	A new iterated local search algorithm for the cyclic bandwidth problem. Knowl. Based Syst. Jintong Ren, Jin-Kao Hao, Eduardo Rodriguez-Tello, Liwen Li, Kun He
2020	J	`jnl`	Adaptive Large Neighborhood Search for Circle Bin Packing Problem. CoRR Kun He, Kevin Tole, Fei Ni, Yong Yuan, Linyun Liao
2020	J	`jnl`	Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks. CoRR Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He
2020	J	`jnl`	Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem. CoRR Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li
2020	J	`jnl`	Error-feedback Stochastic Configuration Strategy on Convolutional Neural Networks for Time Series Forecasting. CoRR Xinze Zhang, Kun He, Yukun Bao
2020	—	`conf`	Exploring Graphical Models with Bayesian Learning and MCMC for Failure Diagnosis. ASP-DAC Hongfei Wang, Wenjie Cai, Jianwen Li, Kun He
2020	C	`conf`	Hidden Community Detection on Two-Layer Stochastic Models: A Theoretical Perspective. TAMC Jialu Bao, Kun He, Xiaodong Xin, Bart Selman, John E. Hopcroft
2020	J	`jnl`	Hidden Community Detection on Two-layer Stochastic Models: a Theoretical Prospective. CoRR Jialu Bao, Kun He, Xiaodong Xin, Bart Selman, John E. Hopcroft
2020	J	`jnl`	Hierarchical Ensemble Reduction and Learning for Resource-constrained Computing. ACM Trans. Design Autom. Electr. Syst. Hongfei Wang, Jianwen Li, Kun He
2020	J	`jnl`	Local Generalization and Bucketization Technique for Personalized Privacy Preservation. CoRR Boyu Li, Kun He, Geng Sun
2020	A*	`conf`	Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks. ICLR Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft
2020	J	`jnl`	Probability Learning based Tabu Search for the Budgeted Maximum Coverage Problem. CoRR Liwen Li, Zequn Wei, Jin-Kao Hao, Kun He
2020	J	`jnl`	Quadratic Optimization based Clique Expansion for Overlapping Community Detection. CoRR Yanhao Yang, Pan Shi, Yuyi Wang, Kun He
2020	A*	`conf`	Robust Local Features for Improving the Generalization of Adversarial Training. ICLR Chuanbiao Song, Kun He, Jiadong Lin, Liwei Wang, John E. Hopcroft
2020	J	`jnl`	SAANet: Siamese action-units attention network for improving dynamic facial expression recognition. Neurocomputing Daizong Liu, Xi Ouyang, Shuangjie Xu, Pan Zhou, Kun He, Shiping Wen
2020	A*	`conf`	Single Image Reflection Removal Through Cascaded Refinement. CVPR Chao Li, Yixiao Yang, Kun He, Stephen Lin, John E. Hopcroft
2020	J	`jnl`	Sparse Nonnegative Matrix Factorization for Multiple Local Community Detection. CoRR Dany Kamuhanda, Meng Wang, Kun He
2020	J	`jnl`	Sparse Nonnegative Matrix Factorization for Multiple-Local-Community Detection. IEEE Trans. Comput. Soc. Syst. Dany Kamuhanda, Meng Wang, Kun He
2020	J	`jnl`	Stochastic Item Descent Method for Large Scale Equal Circle Packing Problem. CoRR Kun He, Min Zhang, Jianrong Zhou, Yan Jin, Chu-Min Li
2020	J	`jnl`	The Orthogonal Packing and Scheduling Problem: Model, Heuristic, and Benchmark. IEEE Trans. Syst. Man Cybern. Syst. Kun He, Huan Yang, Yan Jin, Qian Hu, Pengli Ji
2020	J	`jnl`	Tight Lower Complexity Bounds for Strongly Convex Finite-Sum Optimization. CoRR Min Zhang, Yao Shu, Kun He
2019	J	`jnl`	A Learning based Branch and Bound for Maximum Common Subgraph Problems. CoRR Yanli Liu, Chu-Min Li, Hua Jiang, Kun He
2019	J	`jnl`	A New Anchor Word Selection Method for the Separable Topic Discovery. CoRR Kun He, Wu Wang, Xiaosen Wang, John E. Hopcroft
2019	J	`jnl`	A Novel Task-Duplication Based Clustering Algorithm for Heterogeneous Computing Environments. IEEE Trans. Parallel Distributed Syst. Kun He, Xiaozhu Meng, Zhizhou Pan, Ling Yuan, Pan Zhou
2019	J	`jnl`	A new anchor word selection method for the separable topic discovery. WIREs Data Mining Knowl. Discov. Kun He, Wu Wang, Xiaosen Wang, John E. Hopcroft
2019	J	`jnl`	AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets. CoRR Xiaosen Wang, Kun He, John E. Hopcroft
2019	A*	`conf`	Adaptive Wavelet Clustering for Highly Noisy Data. ICDE Zengjian Chen, Jiayi Liu, Yihe Deng, Kun He, John E. Hopcroft
2019	J	`jnl`	Adversarially Robust Generalization Just Requires More Unlabeled Data. CoRR Runtian Zhai, Tianle Cai, Di He, Chen Dan, Kun He, John E. Hopcroft, Liwei Wang
2019	J	`jnl`	An iterative Path-Breaking approach with mutation and restart strategies for the MAX-SAT problem. Comput. Oper. Res. Zhenxing Xu, Kun He, Chu-Min Li
2019	J	`jnl`	Effective reinforcement learning based local search for the maximum k-plex problem. CoRR Yan Jin, John H. Drake, Una Benlic, Kun He
2019	—	`conf`	Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency. ACL (1) Shuhuai Ren, Yihe Deng, Kun He, Wanxiang Che
2019	J	`jnl`	Improving Test and Diagnosis Efficiency through Ensemble Reduction and Learning. ACM Trans. Design Autom. Electr. Syst. Hongfei Wang, Kun He
2019	—	`conf`	Improving the Generalization of Adversarial Training with Domain Adaptation. ICLR (Poster) Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft
2019	J	`jnl`	Krylov Subspace Approximation for Local Community Detection in Large Networks. ACM Trans. Knowl. Discov. Data Kun He, Pan Shi, David Bindel, John E. Hopcroft
2019	J	`jnl`	Locally-biased spectral approximation for community detection. Knowl. Based Syst. Pan Shi, Kun He, David Bindel, John E. Hopcroft
2019	—	`conf`	Multi-task Deep Learning for Child Gender and Age Determination on Hand Radiographs. CCBR Mumtaz A. Kaloi, Xiaosen Wang, Kun He
2019	J	`jnl`	Natural Language Adversarial Attacks and Defenses in Word Level. CoRR Xiaosen Wang, Hao Jin, Kun He
2019	J	`jnl`	Nesterov Accelerated Gradient and Scale Invariance for Improving Transferability of Adversarial Examples. CoRR Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft
2019	J	`jnl`	Robust Local Features for Improving the Generalization of Adversarial Training. CoRR Chuanbiao Song, Kun He, Jiadong Lin, Liwei Wang, John E. Hopcroft
2019	J	`jnl`	Single Image Reflection Removal through Cascaded Refinement. CoRR Chao Li, Yixiao Yang, Kun He, Stephen Lin, John E. Hopcroft
2019	—	`ed.`	Theoretical Computer Science - 37th National Conference, NCTCS 2019, Lanzhou, China, August 2-4, 2019, Revised Selected Papers NCTCS Xiaoming Sun, Kun He, Xiaoyun Chen
2018	B	`conf`	A Nonnegative Matrix Factorization Approach for Multiple Local Community Detection. ASONAM Dany Kamuhanda, Kun He
2018	J	`jnl`	Adaptive Tabu search and variable neighborhood descent for packing unequal circles into a square. Appl. Soft Comput. Zhizhong Zeng, Xinguo Yu, Kun He, Zhanghua Fu
2018	J	`jnl`	Adaptive Wavelet Clustering for Highly Noisy Data. CoRR Zengjian Chen, Jiayi Liu, Yihe Deng, Kun He, John E. Hopcroft
2018	J	`jnl`	An Iterative Path-Breaking Approach with Mutation and Restart Strategies for the MAX-SAT Problem. CoRR Zhenxing Xu, Kun He, Chu-Min Li
2018	J	`jnl`	An efficient quasi-physical quasi-human algorithm for packing equal circles in a circular container. Comput. Oper. Res. Kun He, Hui Ye, Zhengli Wang, Jingfa Liu
2018	J	`jnl`	Child Gender Determination with Convolutional Neural Networks on Hand Radio-Graphs. CoRR Mumtaz A. Kaloi, Kun He
2018	J	`jnl`	Hidden community detection in social networks. Inf. Sci. Kun He, Yingru Li, Sucheta Soundarajan, John E. Hopcroft
2018	Misc	`conf`	Hierarchical ensemble learning for resource-aware FPGA computing: work-in-progress. CODES+ISSS Hongfei Wang, Jianwen Li, Kun He, Wenjie Cai
2018	J	`jnl`	Improving the Generalization of Adversarial Training with Domain Adaptation. CoRR Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft
2018	J	`jnl`	Local Spectral Clustering for Overlapping Community Detection. ACM Trans. Knowl. Discov. Data Yixuan Li, Kun He, Kyle Kloster, David Bindel, John E. Hopcroft
2018	J	`jnl`	Multi-objective particle swarm optimization algorithm based on objective space division for the unequal-area facility layout problem. Expert Syst. Appl. Jingfa Liu, Huiyun Zhang, Kun He, Shengyi Jiang
2018	J	`jnl`	Neighbourhood-preserving dimension reduction via localised multidimensional scaling. Theor. Comput. Sci. Yuzhe Ma, Kun He, John E. Hopcroft, Pan Shi
2018	J	`jnl`	Packing unequal circles into a square container based on the narrow action spaces. Sci. China Inf. Sci. Kun He, Mohammed Dosh, Yan Jin, Shenghao Zou
2018	—	`ed.`	Theoretical Computer Science - 36th National Conference, NCTCS 2018, Shanghai, China, October 13-14, 2018, Proceedings NCTCS Lian Li, Pinyan Lu, Kun He
2018	A*	`conf`	Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation. NeurIPS Liwei Wang, Lunjia Hu, Jiayuan Gu, Zhiqiang Hu, Yue Wu, Kun He, John E. Hopcroft
2018	J	`jnl`	Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation. CoRR Liwei Wang, Lunjia Hu, Jiayuan Gu, Yue Wu, Zhiqiang Hu, Kun He, John E. Hopcroft
2018	J	`jnl`	用于求解混合车辆路径问题的混合进化算法 (Hybrid Evolutionary Algorithm for Solving Mixed Capacitated General Routing Problem). 计算机科学 Qi Sun, Yan Jin, Kun He, Lingxuan Xu
2018	J	`jnl`	考虑时间因素的0-1背包调度问题 (0-1 Knapsack Variant with Time Scheduling). 计算机科学 Zhengli Wang, Tian Xie, Kun He, Yan Jin
2017	—	`conf`	A Greedy Heuristic Based on Corner Occupying Action for the 2D Circular Bin Packing Problem. NCTCS Kun He, Mohammed Dosh
2017	J	`jnl`	An iterative merging algorithm for soft rectangle packing and its extension for application of fixed-outline floorplanning of soft modules. Comput. Oper. Res. Pengli Ji, Kun He, Yan Jin, Hongsheng Lan, Chumin Li
2017	J	`jnl`	Combining Wang-Landau sampling algorithm and heuristics for solving the unequal-area dynamic facility layout problem. Eur. J. Oper. Res. Jingfa Liu, Dawen Wang, Kun He, Yu Xue
2017	J	`jnl`	Computer Science in the Information Age. IEEE Intell. Informatics Bull. John E. Hopcroft, Kun He
2017	—	`conf`	Deep Compression on Convolutional Neural Network for Artistic Style Transfer. NCTCS Jian Hu, Kun He, John E. Hopcroft, Yaren Zhang
2017	J	`jnl`	Hidden Community Detection in Social Networks. CoRR Kun He, Yingru Li, Sucheta Soundarajan, John E. Hopcroft
2017	J	`jnl`	Krylov Subspace Approximation for Local Community Detection. CoRR Kun He, Pan Shi, David Bindel, John E. Hopcroft
2017	—	`conf`	Learning Latent Topics from the Word Co-occurrence Network. NCTCS Wu Wang, Houquan Zhou, Kun He, John E. Hopcroft
2017	—	`conf`	Local Lanczos Spectral Approximation for Community Detection. ECML/PKDD (1) Pan Shi, Kun He, David Bindel, John E. Hopcroft
2017	J	`jnl`	Packing Unequal Circles into a Square Container by Partitioning Narrow Action Spaces and Circle Items. CoRR Kun He, Mohammed Dosh, Shenghao Zou
2017	J	`jnl`	The Local Dimension of Deep Manifold. CoRR Mengxiao Zhang, Wangquan Wu, Yanren Zhang, Kun He, Tao Yu, Huan Long, John E. Hopcroft
2017	—	`ed.`	Theoretical Computer Science - 35th National Conference, NCTCS 2017, Wuhan, China, October 14-15, 2017, Proceedings NCTCS Ding-Zhu Du, Lian Li, En Zhu, Kun He
2017	J	`jnl`	Understanding Deep Representations through Random Weights. CoRR Yao Shu, Man Zhu, Kun He, John E. Hopcroft, Pan Zhou
2016	—	`conf`	A Powerful Generative Model Using Random Weights for the Deep Image Representation. NIPS Kun He, Yan Wang, John E. Hopcroft
2016	J	`jnl`	A Powerful Generative Model Using Random Weights for the Deep Image Representation. CoRR Kun He, Yan Wang, John E. Hopcroft
2016	J	`jnl`	An Efficient Quasi-physical Algorithm for Packing Equal Circles in a Circular Container. CoRR Kun He, Hui Ye, Zhengli Wang, Tian Xie
2016	Misc	`conf`	Breaking Cycle Structure to Improve Lower Bound for Max-SAT. FAW Yanli Liu, Chumin Li, Kun He, Yi Fan
2016	J	`jnl`	Iterated Tabu Search and Variable Neighborhood Descent for packing unequal circles into a circular container. Eur. J. Oper. Res. Zhizhong Zeng, Xinguo Yu, Kun He, Wenqi Huang, Zhanghua Fu
2016	Misc	`conf`	Nonlinear Dimension Reduction by Local Multidimensional Scaling. FAW Yuzhe Ma, Kun He, John E. Hopcroft, Pan Shi
2015	J	`jnl`	An action-space-based global optimization algorithm for packing circles into a square container. Comput. Oper. Res. Kun He, Menglong Huang, Chenkai Yang
2015	A*	`conf`	Detecting Overlapping Communities from Local Spectral Subspaces. ICDM Kun He, Yiwei Sun, David Bindel, John E. Hopcroft, Yixuan Li
2015	J	`jnl`	Detecting Overlapping Communities from Local Spectral Subspaces. CoRR Kun He, Yiwei Sun, David Bindel, John E. Hopcroft, Yixuan Li
2015	J	`jnl`	Dynamic reduction heuristics for the rectangle packing area minimization problem. Eur. J. Oper. Res. Kun He, Pengli Ji, Chumin Li
2015	J	`jnl`	Overlapping Community Detection via Local Spectral Clustering. CoRR Yixuan Li, Kun He, David Bindel, John E. Hopcroft
2015	J	`jnl`	Revealing Multiple Layers of Hidden Community Structure in Networks. CoRR Kun He, Sucheta Soundarajan, Xuezhi Cao, John E. Hopcroft, Menglong Huang
2015	A*	`conf`	Uncovering the Small Community Structure in Large Networks: A Local Spectral Approach. WWW Yixuan Li, Kun He, David Bindel, John E. Hopcroft
2015	J	`jnl`	Uncovering the Small Community Structure in Large Networks: A Local Spectral Approach. CoRR Yixuan Li, Kun He, David Bindel, John E. Hopcroft
2014	J	`jnl`	An iterative merging placement algorithm for the fixed-outline floorplanning. CoRR Kun He, Pengli Ji, Chumin Li
2013	J	`jnl`	A coarse-to-fine quasi-physical optimization method for solving the circle packing problem with equilibrium constraints. Comput. Ind. Eng. Kun He, Danzeng Mo, Tao Ye, Wenqi Huang
2013	J	`jnl`	Heuristics for two-dimensional strip packing problem with 90° rotations. Expert Syst. Appl. Kun He, Yan Jin, Wenqi Huang
2013	J	`jnl`	On the weak computability of a four dimensional orthogonal packing and time scheduling problem. Theor. Comput. Sci. Wenqi Huang, Kun He
2012	J	`jnl`	An efficient deterministic heuristic for two-dimensional rectangular packing. Comput. Oper. Res. Kun He, Wenqi Huang, Yan Jin
2011	J	`jnl`	An efficient placement heuristic for three-dimensional rectangular packing. Comput. Oper. Res. Kun He, Wenqi Huang
2011	J	`jnl`	Analysis on the computability over the efficient utilization problem of the four-dimensional space-time CoRR Wenqi Huang, Kun He
2010	J	`jnl`	A caving degree based flake arrangement approach for the container loading problem. Comput. Ind. Eng. Kun He, Wenqi Huang
2010	J	`jnl`	A quasi-human algorithm for solving the three-dimensional rectangular packing problem. Sci. China Inf. Sci. Kun He, Wenqi Huang
2010	J	`jnl`	Solving the single-container loading problem by a fast heuristic method. Optim. Methods Softw. Kun He, Wenqi Huang
2009	J	`jnl`	A caving degree approach for the single container loading problem. Eur. J. Oper. Res. Wenqi Huang, Kun He
2009	J	`jnl`	A new heuristic algorithm for cuboids packing with no orientation constraints. Comput. Oper. Res. Wenqi Huang, Kun He
2009	J	`jnl`	A pure quasi-human algorithm for solving the cuboid packing problem. Sci. China Ser. F Inf. Sci. Wenqi Huang, Kun He
2008	—	`conf`	A New Method for Container Loading Problem. CSC Kun He, Wenqi Huang
2007	—	`conf`	A New Quasi-Human Algorithm for the Strongly Heterogeneous Container Loading Problem. FCST Wenqi Huang, Kun He
2007	—	`conf`	An Efficient Algorithm for Solving the Container Loading Problem. ESCAPE Wenqi Huang, Kun He
2006	—	`conf`	A New Task Duplication Based Multitask Scheduling Method. GCC Kun He, Yong Zhao