A New Task Duplication Based Multitask Scheduling Method. - Kun He 001; Yong Zhao (GCC, 2006)

An Efficient Algorithm for Solving the Container Loading Problem. - Wenqi Huang 001; Kun He 001 (ESCAPE, 2007)

A New Quasi-Human Algorithm for the Strongly Heterogeneous Container Loading Problem. - Wenqi Huang 001; Kun He 001 (FCST, 2007)

A New Method for Container Loading Problem. - Kun He 001; Wenqi Huang 001 (CSC, 2008)

A pure quasi-human algorithm for solving the cuboid packing problem. - Wenqi Huang 001; Kun He 001 (Sci. China Ser. F Inf. Sci., 2009)

A new heuristic algorithm for cuboids packing with no orientation constraints. - Wenqi Huang 001; Kun He 001 (Comput. Oper. Res., 2009)

A caving degree approach for the single container loading problem. - Wenqi Huang 001; Kun He 001 (Eur. J. Oper. Res., 2009)

A caving degree based flake arrangement approach for the container loading problem. - Kun He 001; Wenqi Huang 001 (Comput. Ind. Eng., 2010)

A quasi-human algorithm for solving the three-dimensional rectangular packing problem. - Kun He 001; Wenqi Huang 001 (Sci. China Inf. Sci., 2010)

Solving the single-container loading problem by a fast heuristic method. - Kun He 001; Wenqi Huang 001 (Optim. Methods Softw., 2010)

An efficient placement heuristic for three-dimensional rectangular packing. - Kun He 001; Wenqi Huang 001 (Comput. Oper. Res., 2011)

Analysis on the computability over the efficient utilization problem of the four-dimensional space-time - Wenqi Huang 001; Kun He 001 (CoRR, 2011)

An efficient deterministic heuristic for two-dimensional rectangular packing. - Kun He 001; Wenqi Huang 001; Yan Jin 005 (Comput. Oper. Res., 2012)

A coarse-to-fine quasi-physical optimization method for solving the circle packing problem with equilibrium constraints. - Kun He 001; Danzeng Mo; Tao Ye 005; Wenqi Huang 001 (Comput. Ind. Eng., 2013)

Heuristics for two-dimensional strip packing problem with 90° rotations. - Kun He 001; Yan Jin 005; Wenqi Huang 001 (Expert Syst. Appl., 2013)

On the weak computability of a four dimensional orthogonal packing and time scheduling problem. - Wenqi Huang 001; Kun He 001 (Theor. Comput. Sci., 2013)

An iterative merging placement algorithm for the fixed-outline floorplanning. - Kun He 001; Pengli Ji; Chumin Li 001 (CoRR, 2014)

Detecting Overlapping Communities from Local Spectral Subspaces. - Kun He 001; Yiwei Sun; David Bindel; John E. Hopcroft; Yixuan Li 001 (ICDM, 2015)

Uncovering the Small Community Structure in Large Networks: A Local Spectral Approach. - Yixuan Li 001; Kun He 001; David Bindel; John E. Hopcroft (WWW, 2015)

An action-space-based global optimization algorithm for packing circles into a square container. - Kun He 001; Menglong Huang; Chenkai Yang (Comput. Oper. Res., 2015)

Revealing Multiple Layers of Hidden Community Structure in Networks. - Kun He 001; Sucheta Soundarajan; Xuezhi Cao; John E. Hopcroft; Menglong Huang (CoRR, 2015)

Overlapping Community Detection via Local Spectral Clustering. - Yixuan Li 001; Kun He 001; David Bindel; John E. Hopcroft (CoRR, 2015)

Dynamic reduction heuristics for the rectangle packing area minimization problem. - Kun He 001; Pengli Ji; Chumin Li 001 (Eur. J. Oper. Res., 2015)

Breaking Cycle Structure to Improve Lower Bound for Max-SAT. - Yanli Liu 001; Chumin Li 001; Kun He 001; Yi Fan (FAW, 2016)

Nonlinear Dimension Reduction by Local Multidimensional Scaling. - Yuzhe Ma; Kun He 001; John E. Hopcroft; Pan Shi (FAW, 2016)

A Powerful Generative Model Using Random Weights for the Deep Image Representation. - Kun He 001; Yan Wang; John E. Hopcroft (NIPS, 2016)

An Efficient Quasi-physical Algorithm for Packing Equal Circles in a Circular Container. - Kun He 001; Hui Ye; Zhengli Wang; Tian Xie (CoRR, 2016)

Iterated Tabu Search and Variable Neighborhood Descent for packing unequal circles into a circular container. - Zhizhong Zeng; Xinguo Yu; Kun He 001; Wenqi Huang 001; Zhanghua Fu (Eur. J. Oper. Res., 2016)

A Greedy Heuristic Based on Corner Occupying Action for the 2D Circular Bin Packing Problem. - Kun He 001; Mohammed Dosh (NCTCS, 2017)

Deep Compression on Convolutional Neural Network for Artistic Style Transfer. - Jian Hu; Kun He 001; John E. Hopcroft; Yaren Zhang (NCTCS, 2017)

Learning Latent Topics from the Word Co-occurrence Network. - Wu Wang; Houquan Zhou 003; Kun He 001; John E. Hopcroft (NCTCS, 2017)

Local Lanczos Spectral Approximation for Community Detection. - Pan Shi; Kun He 001; David Bindel; John E. Hopcroft (ECML/PKDD (1), 2017)

Computer Science in the Information Age. - John E. Hopcroft; Kun He 001 (IEEE Intell. Informatics Bull., 2017)

An iterative merging algorithm for soft rectangle packing and its extension for application of fixed-outline floorplanning of soft modules. - Pengli Ji; Kun He 001; Yan Jin 005; Hongsheng Lan; Chumin Li 001 (Comput. Oper. Res., 2017)

Packing Unequal Circles into a Square Container by Partitioning Narrow Action Spaces and Circle Items. - Kun He 001; Mohammed Dosh; Shenghao Zou (CoRR, 2017)

Understanding Deep Representations through Random Weights. - Yao Shu; Man Zhu; Kun He 001; John E. Hopcroft; Pan Zhou 001 (CoRR, 2017)

The Local Dimension of Deep Manifold. - Mengxiao Zhang; Wangquan Wu; Yanren Zhang; Kun He 001; Tao Yu; Huan Long; John E. Hopcroft (CoRR, 2017)

Krylov Subspace Approximation for Local Community Detection. - Kun He 001; Pan Shi; David Bindel; John E. Hopcroft (CoRR, 2017)

Combining Wang-Landau sampling algorithm and heuristics for solving the unequal-area dynamic facility layout problem. - Jingfa Liu; Dawen Wang; Kun He 001; Yu Xue 003 (Eur. J. Oper. Res., 2017)

A Nonnegative Matrix Factorization Approach for Multiple Local Community Detection. - Dany Kamuhanda; Kun He 001 (ASONAM, 2018)

Hierarchical ensemble learning for resource-aware FPGA computing: work-in-progress. - Hongfei Wang; Jianwen Li; Kun He 001; Wenjie Cai (CODES+ISSS, 2018)

Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation. - Liwei Wang 001; Lunjia Hu; Jiayuan Gu; Zhiqiang Hu; Yue Wu 011; Kun He 001; John E. Hopcroft (NeurIPS, 2018)

Adaptive Tabu search and variable neighborhood descent for packing unequal circles into a square. - Zhizhong Zeng; Xinguo Yu; Kun He 001; Zhanghua Fu (Appl. Soft Comput., 2018)

Packing unequal circles into a square container based on the narrow action spaces. - Kun He 001; Mohammed Dosh; Yan Jin 005; Shenghao Zou (Sci. China Inf. Sci., 2018)

An efficient quasi-physical quasi-human algorithm for packing equal circles in a circular container. - Kun He 001; Hui Ye; Zhengli Wang; Jingfa Liu (Comput. Oper. Res., 2018)

Child Gender Determination with Convolutional Neural Networks on Hand Radio-Graphs. - Mumtaz A. Kaloi; Kun He 001 (CoRR, 2018)

Multi-objective particle swarm optimization algorithm based on objective space division for the unequal-area facility layout problem. - Jingfa Liu; Huiyun Zhang; Kun He 001; Shengyi Jiang (Expert Syst. Appl., 2018)

Hidden community detection in social networks. - Kun He 001; Yingru Li; Sucheta Soundarajan; John E. Hopcroft (Inf. Sci., 2018)

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). - Qi Sun; Yan Jin 005; Kun He 001; Lingxuan Xu (计算机科学, 2018)

考虑时间因素的0-1背包调度问题 (0-1 Knapsack Variant with Time Scheduling). - Zhengli Wang; Tian Xie; Kun He 001; Yan Jin 005 (计算机科学, 2018)

Neighbourhood-preserving dimension reduction via localised multidimensional scaling. - Yuzhe Ma; Kun He 001; John E. Hopcroft; Pan Shi (Theor. Comput. Sci., 2018)

Local Spectral Clustering for Overlapping Community Detection. - Yixuan Li 001; Kun He 001; Kyle Kloster; David Bindel; John E. Hopcroft (ACM Trans. Knowl. Discov. Data, 2018)

Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency. - Shuhuai Ren; Yihe Deng; Kun He 001; Wanxiang Che (ACL (1), 2019)

Multi-task Deep Learning for Child Gender and Age Determination on Hand Radiographs. - Mumtaz A. Kaloi; Xiaosen Wang; Kun He 001 (CCBR, 2019)

Adaptive Wavelet Clustering for Highly Noisy Data. - Zengjian Chen; Jiayi Liu; Yihe Deng; Kun He 001; John E. Hopcroft (ICDE, 2019)

Improving the Generalization of Adversarial Training with Domain Adaptation. - Chuanbiao Song; Kun He 001; Liwei Wang 001; John E. Hopcroft (ICLR (Poster), 2019)

An iterative Path-Breaking approach with mutation and restart strategies for the MAX-SAT problem. - Zhenxing Xu; Kun He 001; Chu-Min Li 001 (Comput. Oper. Res., 2019)

Effective reinforcement learning based local search for the maximum k-plex problem. - Yan Jin 005; John H. Drake; Una Benlic; Kun He 001 (CoRR, 2019)

AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets. - Xiaosen Wang; Kun He 001; John E. Hopcroft (CoRR, 2019)

A Learning based Branch and Bound for Maximum Common Subgraph Problems. - Yanli Liu 001; Chu-Min Li 001; Hua Jiang; Kun He 001 (CoRR, 2019)

Adversarially Robust Generalization Just Requires More Unlabeled Data. - Runtian Zhai; Tianle Cai; Di He 001; Chen Dan 001; Kun He 001; John E. Hopcroft; Liwei Wang 001 (CoRR, 2019)

Nesterov Accelerated Gradient and Scale Invariance for Improving Transferability of Adversarial Examples. - Jiadong Lin; Chuanbiao Song; Kun He 001; Liwei Wang 001; John E. Hopcroft (CoRR, 2019)

Natural Language Adversarial Attacks and Defenses in Word Level. - Xiaosen Wang; Hao Jin; Kun He 001 (CoRR, 2019)

Locally-biased spectral approximation for community detection. - Pan Shi; Kun He 001; David Bindel; John E. Hopcroft (Knowl. Based Syst., 2019)

Krylov Subspace Approximation for Local Community Detection in Large Networks. - Kun He 001; Pan Shi; David Bindel; John E. Hopcroft (ACM Trans. Knowl. Discov. Data, 2019)

Improving Test and Diagnosis Efficiency through Ensemble Reduction and Learning. - Hongfei Wang; Kun He 001 (ACM Trans. Design Autom. Electr. Syst., 2019)

A Novel Task-Duplication Based Clustering Algorithm for Heterogeneous Computing Environments. - Kun He 001; Xiaozhu Meng; Zhizhou Pan; Ling Yuan; Pan Zhou 001 (IEEE Trans. Parallel Distributed Syst., 2019)

A new anchor word selection method for the separable topic discovery. - Kun He 001; Wu Wang; Xiaosen Wang; John E. Hopcroft (WIREs Data Mining Knowl. Discov., 2019)

A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems. - Yanli Liu 001; Chu-Min Li 001; Hua Jiang; Kun He 001 (AAAI, 2020)

Exploring Graphical Models with Bayesian Learning and MCMC for Failure Diagnosis. - Hongfei Wang; Wenjie Cai; Jianwen Li; Kun He 001 (ASP-DAC, 2020)

Single Image Reflection Removal Through Cascaded Refinement. - Chao Li 068; Yixiao Yang; Kun He 001; Stephen Lin 001; John E. Hopcroft (CVPR, 2020)

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks. - Jiadong Lin; Chuanbiao Song; Kun He 001; Liwei Wang 001; John E. Hopcroft (ICLR, 2020)

Robust Local Features for Improving the Generalization of Adversarial Training. - Chuanbiao Song; Kun He 001; Jiadong Lin; Liwei Wang 001; John E. Hopcroft (ICLR, 2020)

Hidden Community Detection on Two-Layer Stochastic Models: A Theoretical Perspective. - Jialu Bao; Kun He 001; Xiaodong Xin; Bart Selman; John E. Hopcroft (TAMC, 2020)

Hidden Community Detection on Two-layer Stochastic Models: a Theoretical Prospective. - Jialu Bao; Kun He 001; Xiaodong Xin; Bart Selman; John E. Hopcroft (CoRR, 2020)

Adaptive Large Neighborhood Search for Circle Bin Packing Problem. - Kun He 001; Kevin Tole; Fei Ni 001; Yong Yuan; Linyun Liao (CoRR, 2020)

Stochastic Item Descent Method for Large Scale Equal Circle Packing Problem. - Kun He 001; Min Zhang; Jianrong Zhou; Yan Jin 005; Chu-Min Li 001 (CoRR, 2020)

Error-feedback Stochastic Configuration Strategy on Convolutional Neural Networks for Time Series Forecasting. - Xinze Zhang; Kun He 001; Yukun Bao (CoRR, 2020)

Local Generalization and Bucketization Technique for Personalized Privacy Preservation. - Boyu Li 005; Kun He 001; Geng Sun (CoRR, 2020)

Tight Lower Complexity Bounds for Strongly Convex Finite-Sum Optimization. - Min Zhang; Yao Shu; Kun He 001 (CoRR, 2020)

SAANet: Siamese action-units attention network for improving dynamic facial expression recognition. - Daizong Liu; Xi Ouyang; Shuangjie Xu; Pan Zhou 001; Kun He 001; Shiping Wen 001 (Neurocomputing, 2020)

A new iterated local search algorithm for the cyclic bandwidth problem. - Jintong Ren; Jin-Kao Hao; Eduardo Rodriguez-Tello; Liwen Li; Kun He 001 (Knowl. Based Syst., 2020)

Sparse Nonnegative Matrix Factorization for Multiple-Local-Community Detection. - Dany Kamuhanda; Meng Wang 039; Kun He 001 (IEEE Trans. Comput. Soc. Syst., 2020)

Hierarchical Ensemble Reduction and Learning for Resource-constrained Computing. - Hongfei Wang; Jianwen Li; Kun He 001 (ACM Trans. Design Autom. Electr. Syst., 2020)

The Orthogonal Packing and Scheduling Problem: Model, Heuristic, and Benchmark. - Kun He 001; Huan Yang; Yan Jin 005; Qian Hu; Pengli Ji (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks. - Xiaosen Wang; Yichen Yang 009; Yihe Deng; Kun He 001 (AAAI, 2021)

Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem. - Jiongzhi Zheng; Kun He 001; Jianrong Zhou; Yan Jin 005; Chu-Min Li 001 (AAAI, 2021)

Crafting Adversarial Examples for Neural Machine Translation. - Xinze Zhang; Junzhe Zhang 004; Zhenhua Chen 007; Kun He 001 (ACL/IJCNLP (1), 2021)

Boosting Adversarial Transferability through Enhanced Momentum. - Xiaosen Wang; Jiadong Lin; Han Hu 001; Jingdong Wang 001; Kun He 001 (BMVC, 2021)

Combining Clause Learning and Branch and Bound for MaxSAT. - Chu-Min Li 001; Zhenxing Xu; Jordi Coll; Felip Manyà; Djamal Habet; Kun He 001 (CP, 2021)

Enhancing the Transferability of Adversarial Attacks Through Variance Tuning. - Xiaosen Wang; Kun He 001 (CVPR, 2021)

TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting. - Haohai Sun; Jialun Zhong; Yunpu Ma; Zhen Han 003; Kun He 001 (EMNLP (1), 2021)

Admix: Enhancing the Transferability of Adversarial Attacks. - Xiaosen Wang; Xuanran He; Jingdong Wang 001; Kun He 001 (ICCV, 2021)

A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem. - Fei Ni 001; Jianye Hao; Jiawen Lu; Xialiang Tong; Mingxuan Yuan; Jiahui Duan; Yi Ma 005; Kun He 001 (KDD, 2021)

Natural language adversarial defense through synonym encoding. - Xiaosen Wang; Jin Hao; Yichen Yang 009; Kun He 001 (UAI, 2021)

Adaptive large neighborhood search for solving the circle bin packing problem. - Kun He 001; Kevin Tole; Fei Ni 001; Yong Yuan; Linyun Liao (Comput. Oper. Res., 2021)

A Quasi-Newton-based Floorplanner for fixed-outline floorplanning. - Pengli Ji; Kun He 001; Zhengli Wang; Yan Jin 005; Jigang Wu (Comput. Oper. Res., 2021)

Unsupervised Link and Unlink Prediction on Dynamic Networks. - Kun He 001; Christina Muro; Boyu Li 005 (CoRR, 2021)

Multi-stage Optimization based Adversarial Training. - Xiaosen Wang; Chuanbiao Song; Liwei Wang 001; Kun He 001 (CoRR, 2021)

Integrating Circle Kernels into Convolutional Neural Networks. - Kun He 001; Chao Li 068; Yixiao Yang; Gao Huang 001; John E. Hopcroft (CoRR, 2021)

Structure Amplification on Multi-layer Stochastic Block Models. - Xiaodong Xin; Kun He 001; Jialu Bao; Bart Selman; John E. Hopcroft (CoRR, 2021)

Farsighted Probabilistic Sampling based Local Search for (Weighted) Partial MaxSAT. - Jiongzhi Zheng; Jianrong Zhou; Kun He 001 (CoRR, 2021)

Regional Adversarial Training for Better Robust Generalization. - Chuanbiao Song; Yanbo Fan; Yichen Yang 009; Baoyuan Wu; Yiming Li 004; Zhifeng Li 001; Kun He 001 (CoRR, 2021)

Randomized Substitution and Vote for Textual Adversarial Example Detection. - Xiaosen Wang; Yifeng Xiong; Kun He 001 (CoRR, 2021)

TraSw: Tracklet-Switch Adversarial Attacks against Multi-Object Tracking. - Delv Lin; Qi Chen; Chengyu Zhou; Kun He 001 (CoRR, 2021)

Probability learning based tabu search for the budgeted maximum coverage problem. - Liwen Li; Zequn Wei; Jin-Kao Hao; Kun He 001 (Expert Syst. Appl., 2021)

Error-feedback stochastic modeling strategy for time series forecasting with convolutional neural networks. - Xinze Zhang; Kun He 001; Yukun Bao (Neurocomputing, 2021)

GI Tract Lesion Classification Using Multi-task Capsule Networks with Hierarchical Convolutional Layers. - Mumtaz Ali; Chao Li 068; Kun He 001 (CCBR, 2022)

A 4-Space Bounded Approximation Algorithm for Online Bin Packing Problem. - Sizhe Li; Jinghui Xue; Mingming Jin; Kai Wang; Kun He 001 (COCOON, 2022)

Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability. - Yifeng Xiong; Jiadong Lin; Min Zhang; John E. Hopcroft; Kun He 001 (CVPR, 2022)

Triangle Attack: A Query-Efficient Decision-Based Adversarial Attack. - Xiaosen Wang; Zeliang Zhang; Kangheng Tong; Dihong Gong; Kun He 001; Zhifeng Li 001; Wei Liu 005 (ECCV (5), 2022)

Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs. - Haohai Sun; Shangyi Geng; Jialun Zhong; Han Hu 001; Kun He 001 (EMNLP, 2022)

TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack. - Zhen Yu; Xiaosen Wang; Wanxiang Che; Kun He 001 (EMNLP (Findings), 2022)

Position-Invariant Adversarial Attacks on Neural Modulation Recognition. - Zhen Yu; Yifeng Xiong; Kun He 001; Shao Huang; Yaodong Zhao; Jie Gu 009 (ICASSP, 2022)

Structural Robust Label Propagation on Homogeneous Graphs. - Qiuting He; Jinsong Chen 002; Hao Xu 047; Kun He 001 (ICDM, 2022)

Combining Clause Learning and Branch and Bound for MaxSAT (Extended Abstract). - Chu-Min Li 001; Zhenxing Xu; Jordi Coll; Felip Manyà; Djamal Habet; Kun He 001 (IJCAI, 2022)

BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit. - Jiongzhi Zheng; Kun He 001; Jianrong Zhou; Yan Jin 005; Chu-Min Li 001; Felip Manyà (IJCAI, 2022)

A Strengthened Branch and Bound Algorithm for the Maximum Common (Connected) Subgraph Problem. - Jianrong Zhou; Kun He 001; Jiongzhi Zheng; Chu-Min Li 001; Yanli Liu 001 (IJCAI, 2022)

Robust textual embedding against word-level adversarial attacks. - Yichen Yang 009; Xiaosen Wang; Kun He 001 (UAI, 2022)

Detecting textual adversarial examples through randomized substitution and vote. - Xiaosen Wang; Yifeng Xiong; Kun He 001 (UAI, 2022)

Boosting branch-and-bound MaxSAT solvers with clause learning. - Chu-Min Li 001; Zhenxing Xu; Jordi Coll; Felip Manyà; Djamal Habet; Kun He 001 (AI Commun., 2022)

Reinforcement learning based coarse-to-fine search for the maximum k-plex problem. - Yan Jin 005; John H. Drake; Kun He 001; Una Benlic (Appl. Soft Comput., 2022)

Adaptive simulated annealing with greedy search for the circle bin packing problem. - Yong Yuan; Kevin Tole; Fei Ni 001; Kun He 001; Zhengda Xiong; Jinfa Liu (Comput. Oper. Res., 2022)

Learning-based Hybrid Local Search for the Hard-label Textual Attack. - Zhen Yu; Xiaosen Wang; Wanxiang Che; Kun He 001 (CoRR, 2022)

An Efficient Algorithm for the Partitioning Min-Max Weighted Matching Problem. - Yuxuan Wang; Jinyao Xie; Jiongzhi Zheng; Kun He 001 (CoRR, 2022)

Enhancing the Robustness, Efficiency, and Diversity of Differentiable Architecture Search. - Chao Li 068; Jia Ning; Han Hu 001; Kun He 001 (CoRR, 2022)

NAGphormer: Neighborhood Aggregation Graph Transformer for Node Classification in Large Graphs. - Jinsong Chen 002; Kaiyuan Gao; Gaichao Li; Kun He 001 (CoRR, 2022)

Propagation with Adaptive Mask then Training for Node Classification on Attributed Networks. - Jinsong Chen 002; Boyu Li 005; Qiuting He; Kun He 001 (CoRR, 2022)

Hybrid Learning with New Value Function for the Maximum Common Subgraph Problem. - Yanli Liu 001; Jiming Zhao; Chu-Min Li 001; Hua Jiang; Kun He 001 (CoRR, 2022)

Neighborhood Convolutional Network: A New Paradigm of Graph Neural Networks for Node Classification. - Jinsong Chen 002; Boyu Li 005; Kun He 001 (CoRR, 2022)

Local Magnification for Data and Feature Augmentation. - Kun He 001; Chang Liu; Stephen Lin 001; John E. Hopcroft (CoRR, 2022)

Adaptive Multi-Neighborhood Attention based Transformer for Graph Representation Learning. - Gaichao Li; Jinsong Chen 002; Kun He 001 (CoRR, 2022)

Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design. - Kaiyuan Gao; Lijun Wu 003; Jinhua Zhu 001; Tianbo Peng; Yingce Xia; Liang He 010; Shufang Xie 003; Tao Qin 001; Haiguang Liu; Kun He 001; Tie-Yan Liu (CoRR, 2022)

Class-aware Information for Logit-based Knowledge Distillation. - Shuoxi Zhang; Hanpeng Liu; John E. Hopcroft; Kun He 001 (CoRR, 2022)

Incorporating Multi-armed Bandit with Local Search for MaxSAT. - Jiongzhi Zheng; Kun He 001; Jianrong Zhou; Yan Jin 005; Chu-Min Li 001; Felip Manyà (CoRR, 2022)

On fast enumeration of maximal cliques in large graphs. - Yan Jin 005; Bowen Xiong; Kun He 001; Yangming Zhou; Yi Zhou 016 (Expert Syst. Appl., 2022)

Effective Variable Depth Local Search for the Budgeted Maximum Coverage Problem. - Jianrong Zhou; Jiongzhi Zheng; Kun He 001 (Int. J. Comput. Intell. Syst., 2022)

Two-phase Multi-document Event Summarization on Core Event Graphs. - Zengjian Chen; Jin Xu 014; Meng Liao; Tong Xue; Kun He 001 (J. Artif. Intell. Res., 2022)

A new allocation rule for the housing market problem with ties. - Xinsheng Xiong; Xianjia Wang; Kun He 001 (J. Comb. Optim., 2022)

HoSIM: Higher-order Structural Importance based method for multiple local community detection. - Boyu Li 005; Meng Wang 039; John E. Hopcroft; Kun He 001 (Knowl. Based Syst., 2022)

Quadratic Optimization based Clique Expansion for overlapping community detection. - Yanhao Yang; Pan Shi; Yuyi Wang 001; Kun He 001 (Knowl. Based Syst., 2022)

Clustering Driven Iterated Hybrid Search for Vertex Bisection Minimization. - Yan Jin 005; Bowen Xiong; Kun He 001; Jin-Kao Hao; Chu-Min Li 001; Zhang-Hua Fu (IEEE Trans. Computers, 2022)

Hybrid Learning with New Value Function for the Maximum Common Induced Subgraph Problem. - Yanli Liu 001; Jiming Zhao; Chu-Min Li 001; Hua Jiang; Kun He 001 (AAAI, 2023)

Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem. - Yan Jin 005; Yuandong Ding; Xuanhao Pan; Kun He 001; Li Zhao 007; Tao Qin 001; Lei Song 001; Jiang Bian 002 (AAAI, 2023)

Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks. - Chao Li 068; Hao Xu 047; Kun He 001 (AAAI, 2023)

Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT Solvers. - Jiongzhi Zheng; Kun He 001; Jianrong Zhou (AAAI, 2023)

Robustness-Aware Word Embedding Improves Certified Robustness to Adversarial Word Substitutions. - Yibin Wang 005; Yichen Yang 009; Di He 001; Kun He 001 (ACL (Findings), 2023)

Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning. - Guodong Liu; Tongling Wang; Shuoxi Zhang; Kun He 001 (BMVC, 2023)

Sparse Black-Box Multimodal Attack for Vision-Language Adversary Generation. - Zhen Yu; Zhou Qin; Zhenhua Chen 007; Meihui Lian; Haojun Fu; Weigao Wen; Hui Xue; Kun He 001 (EMNLP (Findings), 2023)

All in Tokens: Unifying Output Space of Visual Tasks via Soft Token. - Jia Ning; Chen Li; Zheng Zhang 022; Chunyu Wang 001; Zigang Geng; Qi Dai 001; Kun He 001; Han Hu 001 (ICCV, 2023)

NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs. - Jinsong Chen 002; Kaiyuan Gao; Gaichao Li; Kun He 001 (ICLR, 2023)

On the Complexity of Bayesian Generalization. - Yu-Zhe Shi; Manjie Xu; John E. Hopcroft; Kun He 001; Joshua B. Tenenbaum; Song-Chun Zhu; Ying Nian Wu; Wenjuan Han; Yixin Zhu 001 (ICML, 2023)

Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design. - Kaiyuan Gao; Lijun Wu 003; Jinhua Zhu 001; Tianbo Peng; Yingce Xia; Liang He 010; Shufang Xie 003; Tao Qin 001; Haiguang Liu; Kun He 001; Tie-Yan Liu (KDD, 2023)

FABind: Fast and Accurate Protein-Ligand Binding. - Qizhi Pei; Kaiyuan Gao; Lijun Wu 003; Jinhua Zhu 001; Yingce Xia; Shufang Xie 003; Tao Qin 001; Kun He 001; Tie-Yan Liu; Rui Yan 001 (NeurIPS, 2023)

Rethinking the Backward Propagation for Adversarial Transferability. - Xiaosen Wang; Kangheng Tong; Kun He 001 (NeurIPS, 2023)

Randomized Algorithm for MPMD on Two Sources. - Kun He 001; Sizhe Li; Enze Sun 001; Yuyi Wang 001; Roger Wattenhofer; Weihao Zhu (WINE, 2023)

All in Tokens: Unifying Output Space of Visual Tasks via Soft Token. - Jia Ning; Chen Li; Zheng Zhang 022; Zigang Geng; Qi Dai 001; Kun He 001; Han Hu 001 (CoRR, 2023)

Relaxed Graph Color Bound for the Maximum k-plex Problem. - Jiongzhi Zheng; Mingming Jin; Yan Jin 005; Kun He 001 (CoRR, 2023)

Gaussian Mask Convolution for Convolutional Neural Networks. - Qi Chen; Chao Li 068; Jia Ning; Kun He 001 (CoRR, 2023)

Geometric Batch Optimization for the Packing Equal Circles in a Circle Problem on Large Scale. - Jianrong Zhou; Kun He 001; Jiongzhi Zheng; Chu-Min Li 001 (CoRR, 2023)

PIAT: Parameter Interpolation based Adversarial Training for Image Classification. - Kun He 001; Xin Liu 087; Yichen Yang 009; Zhou Qin; Weigao Wen; Hui Xue; John E. Hopcroft (CoRR, 2023)

Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs. - Jinsong Chen 002; Chang Liu; Kaiyuan Gao; Gaichao Li; Kun He 001 (CoRR, 2023)

Two Independent Teachers are Better Role Model. - Afifa Khaled; Ahmed Ali Mubarak; Kun He 001 (CoRR, 2023)

Knowledge Distillation via Token-level Relationship Graph. - Shuoxi Zhang; Hanpeng Liu; Kun He 001 (CoRR, 2023)

Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks. - Xu Han; Anmin Liu; Chenxuan Yao; Yanbo Fan; Kun He 001 (CoRR, 2023)

Long-range Dependency based Multi-Layer Perceptron for Heterogeneous Information Networks. - Chao Li 068; Zijie Guo; Qiuting He; Hao Xu 047; Kun He 001 (CoRR, 2023)

SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning. - Jinsong Chen 002; Gaichao Li; John E. Hopcroft; Kun He 001 (CoRR, 2023)

Diversified Node Sampling based Hierarchical Transformer Pooling for Graph Representation Learning. - Gaichao Li; Jinsong Chen 002; John E. Hopcroft; Kun He 001 (CoRR, 2023)

BCN: Batch Channel Normalization for Image Classification. - Afifa Khaled; Chao Li 068; Jia Ning; Kun He 001 (CoRR, 2023)

AutoAugment Input Transformation for Highly Transferable Targeted Attacks. - Haobo Lu; Xin Liu 087; Kun He 001 (CoRR, 2023)

Reinforced Lin-Kernighan-Helsgaun algorithms for the traveling salesman problems. - Jiongzhi Zheng; Kun He 001; Jianrong Zhou; Yan Jin 005; Chu-Min Li 001 (Knowl. Based Syst., 2023)

Local generalization and bucketization technique for personalized privacy preservation. - Boyu Li; Kun He 001 (J. King Saud Univ. Comput. Inf. Sci., 2023)

A Simulated Annealing approach for the Circle Bin Packing Problem with Rectangular Items. - Kevin Tole; Rashad Moqa; Jiongzhi Zheng; Kun He 001 (Comput. Ind. Eng., 2023)

Link Prediction and Unlink Prediction on Dynamic Networks. - Christina Muro; Boyu Li 003; Kun He 001 (IEEE Trans. Comput. Soc. Syst., 2023)

Uncovering the Local Hidden Community Structure in Social Networks. - Meng Wang 039; Boyu Li 005; Kun He 001; John E. Hopcroft (ACM Trans. Knowl. Discov. Data, 2023)

A reinforced hybrid genetic algorithm for the traveling salesman problem. - Jiongzhi Zheng; Jialun Zhong; Menglei Chen; Kun He 001 (Comput. Oper. Res., 2023)

Semantic Adversarial Attacks on Face Recognition Through Significant Attributes. - Yasmeen M. Khedr; Yifeng Xiong; Kun He 001 (Int. J. Comput. Intell. Syst., 2023)

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 001 (AAAI, 2024)

You Only Need Less Attention at Each Stage in Vision Transformers. - Shuoxi Zhang; Hanpeng Liu; Stephen Lin 001; Kun He 001 (CVPR, 2024)

Semantic Similarity Driven Multi-Modal Model for Rumor Detection. - Chenyang Li; Bo Xu; Meng Wang 039; Kun He 001 (ECAI, 2024)

DiverTEAM: An Effective Evolutionary Algorithm for Diversified Top-k (Weight) Clique Search Problems. - Jinghui Xue; Jiongzhi Zheng; Kun He 001; Chu-Min Li 001; Yanli Liu 001 (ECAI, 2024)

Grouped Logit Distillation Enhanced with Superclass Awareness for Efficient Knowledge Transfer. - Shuoxi Zhang; Hanpeng Liu; Yuyi Wang 001; Kun He 001 (ECAI, 2024)

Sampling-Based Teacher Guided Method to Boost Transferable Attack on SAR Image Classification. - Aoyang Zhou; Yasmeen M. Khedr; Xin Liu 087; Kun He 001 (ECAI, 2024)

Image Mixing and Gradient Smoothing to Enhance the SAR Image Attack Transferability. - Yue Xu; Xin Liu 087; Kun He 001; Shao Huang; Yaodong Zhao; Jie Gu 009 (ICASSP, 2024)

Improving the Sar Image Adversarial Transferability Through Dual-Loop Ensemble Gradient Attack. - Xin Liu 087; Yue Xu; Kun He 001 (ICME, 2024)

Rethinking the Soft Conflict Pseudo Boolean Constraint on MaxSAT Local Search Solvers. - Jiongzhi Zheng; Zhuo Chen; Chu-Min Li 001; Kun He 001 (IJCAI, 2024)

Multi-Channel Convolutional Distilled Transformer for Automatic Modulation Classification. - Zhenhua Chen 007; Xinze Zhang; Kun He 001 (IJCNN, 2024)

Query-Efficient Textual Adversarial Example Generation for Black-Box Attacks. - Zhen Yu; Zhenhua Chen 007; Kun He 001 (NAACL-HLT, 2024)

Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers. - Jinsong Chen 002; Hanpeng Liu; John E. Hopcroft; Kun He 001 (NeurIPS, 2024)

Long-range Meta-path Search on Large-scale Heterogeneous Graphs. - Chao Li 068; Zijie Guo; Qiuting He; Kun He 001 (NeurIPS, 2024)

Tracklet-switch and imperceivable adversarial attack against pedestrian Multi-Object Tracking trackers. - Delv Lin; Qi Chen; Chengyu Zhou; Kun He 001 (Appl. Soft Comput., 2024)

Error-feedback three-phase optimization to configurable convolutional echo state network for time series forecasting. - Xinze Zhang; Kun He 001; Qi Sima; Yukun Bao (Appl. Soft Comput., 2024)

Knowledge Distillation via Token-Level Relationship Graph Based on the Big Data Technologies. - Shuoxi Zhang; Hanpeng Liu; Kun He 001 (Big Data Res., 2024)

An efficient solution space exploring and descent method for packing equal spheres in a sphere. - Jianrong Zhou; Shuo Ren; Kun He 001; Yanli Liu 001; Chu-Min Li 001 (Comput. Oper. Res., 2024)

Fast Adversarial Training against Textual Adversarial Attacks. - Yichen Yang 009; Xin Liu 087; Kun He 001 (CoRR, 2024)

An Effective Branch-and-Bound Algorithm with New Bounding Methods for the Maximum s-Bundle Problem. - Jinghui Xue; Jiongzhi Zheng; Mingming Jin; Kun He 001 (CoRR, 2024)

Boosting Meta-Training with Base Class Information for Few-Shot Learning. - Weihao Jiang; Guodong Liu; Di He 001; Kun He 001 (CoRR, 2024)

FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation. - Kaiyuan Gao; Qizhi Pei; Jinhua Zhu 001; Tao Qin 001; Kun He 001; Lijun Wu 003 (CoRR, 2024)

An Efficient Evolutionary Algorithm for Diversified Top-k (Weight) Clique Search Problems. - Jiongzhi Zheng; Jinghui Xue; Kun He 001; Chu-Min Li 001; Yanli Liu 001 (CoRR, 2024)

Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning. - Weihao Jiang; Chang Liu; Kun He 001 (CoRR, 2024)

FIMP-HGA: A Novel Approach to Addressing the Partitioning Min-Max Weighted Matching Problem. - Yuxuan Wang; Jiongzhi Zheng; Jinyao Xie; Kun He 001 (CoRR, 2024)

Class-relevant Patch Embedding Selection for Few-Shot Image Classification. - Weihao Jiang; Haoyang Cui; Kun He 001 (CoRR, 2024)

NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification. - Jinsong Chen 002; Siyu Jiang; Kun He 001 (CoRR, 2024)

Siamese Transformer Networks for Few-shot Image Classification. - Weihao Jiang; Shuoxi Zhang; Kun He 001 (CoRR, 2024)

Feedback-based Modal Mutual Search for Attacking Vision-Language Pre-training Models. - Renhua Ding; Xinze Zhang; Xiao Yang; Kun He 001 (CoRR, 2024)

Tokenizing 3D Molecule Structure with Quantized Spherical Coordinates. - Kaiyuan Gao; Yusong Wang; Haoxiang Guan; Zun Wang; Qizhi Pei; John E. Hopcroft; Kun He 001; Lijun Wu 003 (CoRR, 2024)

Geometric batch optimization for packing equal circles in a circle on large scale. - Jianrong Zhou; Kun He 001; Jiongzhi Zheng; Chu-Min Li 001 (Expert Syst. Appl., 2024)

TransMix: Crafting highly transferable adversarial examples to evade face recognition models. - Yasmeen M. Khedr; Xin Liu 087; Kun He 001 (Image Vis. Comput., 2024)

Neighborhood convolutional graph neural network. - Jinsong Chen 002; Boyu Li 003; Kun He 001 (Knowl. Based Syst., 2024)

Meta-multigraph search: Rethinking meta-structure on heterogeneous information networks. - Chao Li 068; Hao Xu 047; Kun He 001 (Knowl. Based Syst., 2024)

Streaming Local Community Detection Through Approximate Conductance. - Meng Wang 039; Yanhao Yang; David Bindel; Kun He 001 (IEEE Trans. Big Data, 2024)

Centroid-Based Multiple Local Community Detection. - Boyu Li 003; Dany Kamuhanda; Kun He 001 (IEEE Trans. Comput. Soc. Syst., 2024)

LUSTC: A Novel Approach for Predicting Link States on Dynamic Attributed Networks. - Christina Muro; Boyu Li 003; Kun He 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Regional Adversarial Training for Better Robust Generalization. - Chuanbiao Song; Yanbo Fan; Aoyang Zhou; Baoyuan Wu; Yiming Li 004; Zhifeng Li 001; Kun He 001 (Int. J. Comput. Vis., 2024)

PAMT: A Novel Propagation-Based Approach via Adaptive Similarity Mask for Node Classification. - Jinsong Chen 002; Boyu Li 003; Qiuting He; Kun He 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Neural Collapse Inspired Knowledge Distillation. - Shuoxi Zhang; Zijian Song; Kun He 001 (AAAI, 2025)

Advancing SAR Image Robustness: Integrating Diffusion Models for Adversarial Purification and Speckle Noise Suppression. - Ganglin Xie; Haobo Lu; Xinze Zhang; Kun He 001 (ICASSP, 2025)

Fading-Invariant Adversarial Attacks on Neural Modulation Recognition. - Xinze Zhang; Dengao Zhu; Xiyao Dong; Kun He 001 (ICASSP, 2025)

Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs. - Yu-Zhe Shi; Mingchen Liu; Fanxu Meng; Qiao Xu; Zhangqian Bi; Kun He 001; Lecheng Ruan; Qining Wang (ICLR, 2025)

FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation. - Kaiyuan Gao; Qizhi Pei; Gongbo Zhang; Jinhua Zhu 001; Kun He 001; Lijun Wu 003 (KDD (1), 2025)

Enhancing Adversarial Transferability in Visual-Language Pre-training Models via Local Shuffle and Sample-based Attack. - Xin Liu 087; Aoyang Zhou; Kun He 001 (NAACL (Findings), 2025)

Synonym-unaware Fast Adversarial Training against Textual Adversarial Attacks. - Yichen Yang 009; Xin Liu 087; Kun He 001 (NAACL (Findings), 2025)

Integrating multi-armed bandit with local search for MaxSAT. - Jiongzhi Zheng; Kun He 001; Jianrong Zhou; Yan Jin 005; Chu-Min Li 001; Felip Manyà (Artif. Intell., 2025)

Transferable adversarial attacks against face recognition using surrogate model fine-tuning. - Yasmeen M. Khedr; Xin Liu 087; Haobo Lu; Kun He 001 (Appl. Soft Comput., 2025)

Online and offline packing cylinders in a cylindrical container. - Rashad Moqa; Jiongzhi Zheng; Kun He 001 (Discret. Appl. Math., 2025)

Boosting meta-training with base class information for robust few-shot learning. - Weihao Jiang; Guodong Liu; Di He 001; Kun He 001 (Eng. Appl. Artif. Intell., 2025)

Solution-hashing search based on layout-graph transformation for unequal circle packing. - Jianrong Zhou; Jiyao He; Kun He 001 (Eur. J. Oper. Res., 2025)

Enhancing echo state network with reservoir state selection for time series forecasting. - Qi Sima; Yukun Bao; Xinze Zhang; Kun He 001; Xin Lai (Neurocomputing, 2025)

Parameter Interpolation Adversarial Training for Robust Image Classification. - Xin Liu 087; Yichen Yang 009; Kun He 001; John E. Hopcroft (IEEE Trans. Inf. Forensics Secur., 2025)

Multi-armed Bandit and Backbone boost Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problems. - Long Wang; Jiongzhi Zheng; Zhengda Xiong; Kun He 001 (CoRR, 2025)

Structure Amplification on Multi-layer Stochastic Block Models. - Kun He 001; Xiaodong Xin; Jialu Bao; Meng Wang 039; Bart Selman; John E. Hopcroft (ACM Trans. Knowl. Discov. Data, 2025)

Refining Adaptive Zeroth-Order Optimization at Ease. - Yao Shu; Qixin Zhang 001; Kun He 001; Zhongxiang Dai (CoRR, 2025)

Rethinking Tokenized Graph Transformers for Node Classification. - Jinsong Chen 002; Chenyang Li; Gaichao Li; John E. Hopcroft; Kun He 001 (CoRR, 2025)

LocalEscaper: A Weakly-supervised Framework with Regional Reconstruction for Scalable Neural TSP Solvers. - Junrui Wen; Yifei Li; Bart Selman; Kun He 001 (CoRR, 2025)

Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse. - Kun He 001; Zijian Song; Shuoxi Zhang; John E. Hopcroft (CoRR, 2025)

Class Discriminative Knowledge Distillation. - Shuoxi Zhang; Hanpeng Liu; Yuyi Wang 001; Kun He 001; Jun Lin 005; Yang Zeng (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

GMConv: Modulating Effective Receptive Fields for Convolutional Kernels. - Qi Chen; Chao Li 068; Jia Ning; Stephen Lin 001; Kun He 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Bandit based Dynamic Candidate Edge Selection in Solving Traveling Salesman Problems. - Long Wanga; Jiongzhi Zheng; Zhengda Xiong; Chumin Li 001; Kun He 001 (CoRR, 2025)

DAM-GT: Dual Positional Encoding-Based Attention Masking Graph Transformer for Node Classification. - Chenyang Li; Jinsong Chen 002; John E. Hopcroft; Kun He 001 (CoRR, 2025)

Adaptive Channel Allocation for Robust Differentiable Architecture Search. - Chao Li 068; Jia Ning; Han Hu 001; Kun He 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Targeted control of fast prototyping through domain-specific interface. - Yu-Zhe Shi; Mingchen Liu; Hanlu Ma; Qiao Xu; Huamin Qu; Kun He 001; Lecheng Ruan; Qining Wang (CoRR, 2025)

CovDocker: Benchmarking Covalent Drug Design with Tasks, Datasets, and Solutions. - Yangzhe Peng; Kaiyuan Gao; Liang He 010; Yuheng Cong; Haiguang Liu; Kun He 001; Lijun Wu 003 (CoRR, 2025)

NAGphormer+: A Tokenized Graph Transformer With Neighborhood Augmentation for Node Classification in Large Graphs. - Jinsong Chen 002; Chang Liu; Kaiyuan Gao; Gaichao Li; Kun He 001 (IEEE Trans. Big Data, 2025)

Residual Learning for Self-Knowledge Distillation: Enhancing Neural Networks Through Consistency Across Layers. - Hanpeng Liu; Shuoxi Zhang; Kun He 001 (IEEE Trans. Big Data, 2025)