He Kun Professor of Computer Science   Phone: Email: hulong@hust.edu.cn Academic Areas: Interpretability of deep learning, social network mining, security of deep learning, machine learning

Personal Profile

Dr. He Kun, professor and supervisor of doctoral candidates of School of Computer Science and Techology, Huazhong University of Science and Technology, is the Deputy Director of Institute of Computer Science Theory, and Director of John Hopcroft Laboratory (Laboratory of Data Mining and Machine Learning). He is Deputy Director of Theory Committee of China Computer Federation, Senior Member of ACM, Senior Member of IEEE, Distinguished Member of CCF. In 2011, he visited the Department of Management Science and Engineering of Stanford University in the United States for one year. There he cooperated with Professor Yin-yu YE, winner of the Von Neumann Theory Prize in combinatorial optimization, linear and nonlinear programming. From 2013 to 2018, he visited the Department of Computer Science of Cornell University as visiting associate professor and visiting professor for many times. There he cooperated with Professor John E. Hopcroft, a Turing Award winner, academician of American Academy of Sciences, Academy of Engineering, Academy of Arts and Sciences and foreign academician of Chinese Academy of Sciences in social network and deep learning.

In 2006, he won the first prize of Science and Technology Progress Award of Hubei Province.In 2008, he won the Outstanding Doctoral Dissertation Award of Hubei Province. In 2018 he won the third prize of Natural Science Award of Hubei Province. He won "Three Aspects of Education" Award  in the academic year between 2016 and 2017, the honor of “My Favorite Headteacher” and “Excellent Headteacher” in the academic year between 2015 and 2016, and “Supervisor of Outstanding Bachelor's degree Thesis Winner” of Hubei province for many times. In 2016, he was selected as one of the Global 200 Outstanding Young Scholars (Heidelberg Laureate Forum) of the Abel/Fields/Turing Award Foundation. He was selected as Visiting Professor of Mary Shepard B. Upson at Cornell College of Engineering for the 2016-2017 academic year. He has presided over a number of national natural science projects and provincial- and ministerial-level projects, and published more than 100 papers in authoritative journals and conferences at home and abroad. He won the Award for Best Paper of International Conference Principles and Practice of Constraint Programming (2021).

He was invited to be a member of the Procedure Committee of international conferences such as NeurIPS, ICLR, AAAI, CVPR, ICCV, ECCV, IJCAI, and a member of the Advanced Program Committee of IJCAI, and paper reviewer of a host of authoritative academic journals such as TPAMI, TKDE, Theoretical Computer Science, European Journal of Operational Research, Computers & Operations Research, Science China, Chinese Journal of Computers, Journal of Software. He was Co-chair of the Procedure Committee of the 2017-2020 CCF National Conference on Theoretical Computer Science  (NCTCS).

Academic Degrees

2002.9-2006.6

Huazhong University of Science and Technology  Doctor of Engineering - Postgraduate ( Doctoral )

 

1999.9-2002.6

Central China Normal University  Master of Engineering - Postgraduate ( Master )  

 

1989.9-1993.7

Wuhan University  Undergraduate ( Bachelor )

Professional Experience

2015.11 - So far

Huazhong University of Science and Technology, School of Computer Science and Technology, Professor

 

2017.3-2017.5

Cornell University, USA, Department of Computer Science, Mary Shepard B. Upson Visiting Professor

 

2016.3-2016.8

Cornell University， Department of Computer Science,  Visiting Professor

 

2010.11-2015.11

Huazhong University of Science and Technology, School of Computer Science and Technology, Associate Professor

 

2013.8-2015.8

Cornell University, USA, Department of Computer Science, Visiting Associate Professor

 

2011.8-2012.8

Stanford University - Visiting Scholar

 

2008.7-2010.10

Huazhong University of Science and Technology, School of Computer Science and Technology, Assistant Professor

 

2006.7-2008.6

Huazhong University of Science and Technology, School of Computer Science and Technology, Postdoctoral fellow

Courses Taught

 

Awards and Honors

[1] 2021 Best Paper Award of International Conference on Principles and Practice of Constraint Programming

[2] 2018 Third Prize of Natural Science Award of  Hubei Province  

[3] 2017 “Three Aspects of Education” Award of Huazhong University of Science and Technology in 2016-2017 Academic Year

[4] 2016 “My Favorite Headteacher” of Huazhong University of Science and Technology in 2015-2016 academic year

[5] 2016 Global 200 Outstanding Young Scholars of Heidelberg Abel / Fields / Turing Award Foundation

[6] 2016 Supervisor of  Excellent Bachelor Degree Thesis in Hubei   

[7] 2017 Supervisor of  Excellent Bachelor Degree Thesis in Hubei

[8] 2008 Excellent Doctoral Dissertation in Hubei

[9] 2006 First Prize of Science and Technology Progress Award in Hubei

[10] 2010 Supervisor of  Excellent Bachelor Degree Thesis in Hubei    

Selected Projects Funded

[1] Academic backbone, National Key Basic Research Development Program (973):  Sub-project of Mathematical Mechanization Method and its Application in Information Technology, Completed,

[2] Academic backbone, Project Supported by National Natural Science Foundation of China: Introduction of Propositional Logic to Support Combinatorial Optimization Problem Solving -- Using GraphVertex Coloring Problem as Research Medium, Completed,

[3] Academic Backbone, National Natural Science Foundation of China: Modeling and Algorithm Research of Distributed Multi-task Scheduling Problem, Completed,

[4] Academic backbone, National Natural Science Foundation of China Project: Equal Circle and Cuboid Packing and Efficient Solution of General NP Difficulty Problems -- Object Anthropomorphism Algorithm, Completed,

[5] Principal Investigator(PI）, Provincial Teaching Research Project of Colleges and Universities in Hubei Province: Research and Practice of International Curriculum Construction and Talent Training for Computer Undergraduates, in progress,

[6] Principal Investigator（PI）, Basic Research Project of Shenzhen, Research on Efficient Layout-planning Method of VLSI Based on Machine learning,

[7] Principal Investigator（PI）, Microsoft Research Asia Joint Research Fund: Uncovering Hidden Structure in Large Networks, Completed,

[8] Principal Investigator（PI）, Hubei Natural Science Foundation Project: A Study on the Structure of Local Communities and Hidden Communities in Large Networks, Completed,

[9] Principal Investigator （PI）, NSFC Project: Packing Scheduling Problem for Efficient Use of Four-dimensional Space-time, Completed,

[10] Principal Investigator (PI), NSFC Project, Research on VLSI Layout Planning Algorithm Based on Mash-up Strategy, in Progress,

[11] Principal Investigator (PI), NSFC Project, Research on Community Detection Algorithm Based on Local Spectrum in Large Network, in progress,

Selected Publications

[1] Kun He, Yingru Li, Sucheta Soundarajan, John E. Hopcroft. Hidden Community Detection in Social Networks. Information Sciences (INS), vol. 425: 92-106, 2018..

[2] Yixuan Li, Kun He*, Kyle Kloster, David Bindel, John E. Hopcroft. Local Spectral Clustering for Overlapping Community Detection, IEEE Transactions on Knowledge Discovery from Data (TKDD), 12 (2):17, 2018..

[3] Yuzhe Ma, Kun He*, John E. Hopcroft, Pan Shi. Neighbourhood Preserving Dimension Reduction via Localised Multidimensional Scaling. Theoretical Computer Science (TCS), vol. 734: 58-71, 2018..

[4] John E. Hopcroft and Kun He. Computer Science in the Information Age, The IEEE Intelligent Informatics Bulletin, vol. 18(2): 3-6, 2018..

[5] Pan Shi, Kun He*, David Bindel, John E. Hopcroft. Local Lanczos Spectral Approximation for Membership Identification. 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Skopje, Macedonia, September 18-22, pp: 651-667, 2017..

[6] Kun He, Yan Wang, John Hopcroft. A Powerful Generative Model Using Random Weights for the Deep Image Representation. In: : 29th Annual Conference on Neural Information Processing Systems (NIPS'16), Barcelona, Spain, pp. 631-639, Dec. 2016.

[7] Kun He, Pan Shi, John E. Hopcroft and David Bindel. Local Spectral Diffusion for Robust Community Detection,In: the Workshop on Mining and Learning with Graphs at KDD (SIGKDD MLG'16), SFO, CA, USA, August 2016..

[8] Yuzhe Ma, Kun He*, John E. Hopcroft, Pan Shi. Nonlinear dimension reduction by local multidimensional scaling. In: 10th International Frontiers of Algorithmics Workshop (FAW'16), pp.158-171, Shandong, China, 2016..

[9] Kun He, Yiwei Sun, David Bindel, John Hopcroft, Yixuan Li. Detecting Overlapping Communities from Local Spectral Subspaces, 15th IEEE International Conference on Data Mining (ICDM'15), Atlantic City, USA, pp. 769-774, 2015..

[10] Yixuan Li, Kun He*, David Bindel, John E. Hopcroft. Uncovering the Small Community Structure in Large Networks, In: 24th International Conference on World Wide Web (WWW'15), Florence, Italy, pp. 658-668, 2015..

[11] Kun He, Xiaozhu Meng, Zhizhou Pan, Ling Yuan, Pan Zhou. A Novel Task-Duplication based Clustering Algorithm for Heterogeneous Computing Environments, IEEE Transactions on Parallel and Distributed Systems(TPDS), accepted..

[12] Zhizhong Zeng, Xinguo Yu, Kun He*, Zhanghua Fu. Adaptive Tabu Search and Variable Neighborhood Descent for Packing Unequal Circles into a Square. Applied Soft Computing (ASC), vol. 65, 196-213, 2018..

[13] Kun He, Mohammed Dosh*, Yan Jin, Shenghao Zou. Packing Unequal Circles into a Square Container based on the Narrow Action Spaces, SCIENCE CHINA Information Sciences(SCIS), 2017 10 accepted..

[14] Pengli Ji, Kun He*, Yan Jin, Hongsheng Lan, Chu-Min Li. An iterative merging algorithm for soft rectangle packing and its extension for application of fixed-outline floorplanning of soft modules, Computers & Operations Research(COR), vol. 86:110-123, 2017..

[15] Jingfa Liu, Dawen Wang, Kun He, Yu Xue. Combining Wang-Landau sampling algorithm and heuristics for solving the unequal-area dynamic facility layout problem. European Journal of Operational Research (EJOR), vol. 262(3), pp. 1052-1063, 2017..

Professional Affiliations

[1] Member of Technical Committee on Artificial Intelligence and Pattern Recognition, China Computer Federation

[2] ACM Senior Member, IEEE Senior Member, CCF Distinguished Member

[3] Deputy Director of Theory Committee of China Computer  Federation

Research Group

Group Name: John Hopcroft Lab (Data Mining and Machine Learning Lab)

About the group: John Hopcroft Lab (Data Mining and Machine Learning Lab), in collaboration with Turing Award winner Professor John Hopcroft of Cornell University, focuses on basic theories, models and algorithms of deep learning, machine learning, social networks, reinforcement learning, combinatorial optimization and their applications in the fields of computer vision and natural language processing. With Professor Kun He as the Group leader, the Lab conducted in-depth cooperation with its honorary professor John Hopcroft, visiting professor Chumin Li (French Distinguished professor), and visiting Professor Baining Guo  (Executive Vice President of Microsoft Research Asia). The group members include Associate Professor Yan Jin, lecturer Zhengzheng Xiong, postdoctoral fellow Boyu Li, and about 40 graduate students. The team guided two undergraduate teams of AI scientific research competition team, ACM-ICPC school team and undergraduate scientific research interns, and won several awards of artificial intelligence competition at home and abroad and the national Gold Medal of ACM-ICPC competition. In 2018, one of ACM school teams advanced to the world Finals and made excellent achievements. The group guided undergraduate students to publish papers at international top conferences for many times. In recent years, the group has presided over 4 National Natural Science Foundation projects and 1 Youth Science Foundation project. The group published more than 150 papers in NIPS/NeurIPS, ICLR, CVPR, ACL, ICDE, WWW, AAAI, ICDM, ECML-PKDD, IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Transactions on Knowledge Discovery from Data (TKDD), IEEE Transactions on Parallel & Distributed Systems (TPDS), IEEE Transactions on Evolutionary Computation, IEEE Transactions on Systems, Man, and Cybernetics: Systems Theoretical Computer Science, Chinese Science, Journal of Computer Science and other authoritative journals and conferences . It has won 1 first prize of Science and Technology Progress Award of Hubei Province and 1 third prize of Natural Science  Award of Hubei Province.

Enrollment Information

 

Personal Homepage

Web：http://faculty.hust.edu.cn/hekun/en/index.htm