Kun He

5.0k citations

135 papers · 2.5k indexed · 2 hit papers · h-index 26

Impact in

Industrial and Manufacturing Engineering top 1%
- Advanced Manufacturing and Logistics Optimization
- Optimization and Packing Problems
Artificial Intelligence top 1%
- Adversarial Robustness in Machine Learning
- Topic Modeling
- Anomaly Detection Techniques and Applications
- Advanced Graph Neural Networks

Papers in ⓘ

Artificial Intelligence 58
- Adversarial Robustness in Machine Learning 22
- Advanced Graph Neural Networks 12
Computer Vision and Pattern Recognition 32

Co-authors: Xiaosen Wang (8 shared papers)John E. Hopcroft (19 shared papers)Yihe Deng (3 shared papers)Shuhuai Ren (1 shared paper)Wanxiang Che (1 shared paper)David Bindel (5 shared papers)Wenqi Huang (5 shared papers)Wenqi Huang (4 shared papers)
Journals: Computers & Operations Research (9 papers)Knowledge-Based Systems (6 papers)Expert Systems with Applications (5 papers)IEEE Transactions on Computational Social Systems (5 papers)Applied Soft Computing (4 papers)
Partner nations: China United States France

In The Last Decade

Kun He

119 papers receiving 2.4k citations

Hit Papers

align trajectories log scale

Enhancing the Transferability of Adversarial Attacks through Variance Tuning 2021 · 242 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2021 Enhancing the Transferability of Adversarial Attacks through Variance Tuning
2019 Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency

Peers

Countries citing papers authored by Kun He

Since Specialization

Citations

This map shows the geographic impact of Kun He's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kun He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun He more than expected).

Fields of papers citing papers by Kun He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun He. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kun He. The network helps show where Kun He may publish in the future.

Co-authors

The 25 scholars most cited alongside Kun He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kun He Line = papers co-authored together Kun He links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency Shuhuai Ren, Yihe Deng, Kun He, Wanxiang Che Hit paper breakdown →	2019	363
2	Enhancing the Transferability of Adversarial Attacks through Variance Tuning Xiaosen Wang, Kun He Hit paper breakdown →	2021	242
3	Admix: Enhancing the Transferability of Adversarial Attacks 2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Xiaosen Wang, Xuanran He, Jingdong Wang, Kun He	2021	120
4	Single Image Reflection Removal Through Cascaded Refinement Chao Li, Yixiao Yang, Kun He, Stephen Lin, John E. Hopcroft	2020	108
5	TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·Haohai Sun, Jialun Zhong, Yunpu Ma, Zhen Han, Kun He	2021	90
6	Multi-objective particle swarm optimization algorithm based on objective space division for the unequal-area facility layout problem Expert Systems with Applications ·Jingfa Liu, Huiyun Zhang, Kun He, Shengyi Jiang	2018	78
7	Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Yifeng Xiong, Jiadong Lin, Min Zhang, John E. Hopcroft, Kun He	2022	73
8	Uncovering the Small Community Structure in Large Networks Yixuan Li, Kun He, David Bindel, John E. Hopcroft	2015	71
9	Local Spectral Clustering for Overlapping Community Detection ACM Transactions on Knowledge Discovery from Data ·Yixuan Li, Kun He, Kyle Kloster, David Bindel, John E. Hopcroft	2018	64
10	Hidden community detection in social networks Information Sciences ·Kun He, Yingru Li, Sucheta Soundarajan, John E. Hopcroft	2017	62
11	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	59
12	A caving degree approach for the single container loading problem European Journal of Operational Research ·Wenqi Huang, Kun He	2008	55
13	Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks Proceedings of the AAAI Conference on Artificial Intelligence ·Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He	2021	45
14	A Novel Task-Duplication Based Clustering Algorithm for Heterogeneous Computing Environments IEEE Transactions on Parallel and Distributed Systems ·Kun He, Xiaozhu Meng, Zhizhou Pan, Ling Yuan, Pan Zhou	2018	43
15	Encapsulating Urban Traffic Rhythms into Road Networks Scientific Reports ·Junjie Wang, Dong Wei, Kun He, H.R. Gong, Pu Wang	2014	43
16	An efficient deterministic heuristic for two-dimensional rectangular packing Computers & Operations Research ·Kun He, Wenqi Huang, Jin Yan	2011	40
17	Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem Proceedings of the AAAI Conference on Artificial Intelligence ·Jiongzhi Zheng, Kun He, Jianrong Zhou, Jin Yan, Chu-Min Li	2021	37
18	An efficient placement heuristic for three-dimensional rectangular packing Computers & Operations Research ·Kun He, Wenqi Huang	2010	34
19	Vulnerability Analysis and Passenger Source Prediction in Urban Rail Transit Networks PLoS ONE ·Junjie Wang, Yishuai Li, Jingyu Liu, Kun He, Pu Wang	2013	31
20	Combining Wang–Landau sampling algorithm and heuristics for solving the unequal-area dynamic facility layout problem European Journal of Operational Research ·Jingfa Liu, Dawen Wang, Kun He, Yu Xue	2017	31

About Kun He

Kun He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Statistical and Nonlinear Physics and Computer Graphics and Computer-Aided Design, having authored 135 papers that have together received 2.5k indexed citations. Recurring topics across this work include Optimization and Packing Problems (24 papers), Adversarial Robustness in Machine Learning (22 papers), Complex Network Analysis Techniques (18 papers), Computational Geometry and Mesh Generation (17 papers), Advanced Manufacturing and Logistics Optimization (16 papers), Advanced Graph Neural Networks (12 papers), Human Mobility and Location-Based Analysis (12 papers) and Opinion Dynamics and Social Influence (10 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (442 citations), Artificial Intelligence (1.3k citations), Computer Graphics and Computer-Aided Design (127 citations), Signal Processing (277 citations) and Statistical and Nonlinear Physics (312 citations). Kun He has collaborated with scholars based in China, United States and France. Frequent co-authors include Xiaosen Wang, John E. Hopcroft, Yihe Deng, Shuhuai Ren, Wanxiang Che, David Bindel, Wenqi Huang, Wenqi Huang, Jingdong Wang and Yixuan Li. Their work appears in journals such as Computers & Operations Research, Knowledge-Based Systems, Expert Systems with Applications, IEEE Transactions on Computational Social Systems and Applied Soft Computing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact