Download CV - Rutgers Statistics

Lei Han
Birth: Mar. 1988, China
Address: 486 Hill Center, Piscataway, NJ, 08854
E-mail: [email protected]
Homepage: http://www.stat.rutgers.edu/home/lhan/
Phone: +1 (848) 404 4412
BRIEF
BIOGRAPHY
I am currently working as a Post-Doctoral Associate in the Department of Statistics,
Rutgers University, and also as a Research Assistant Professor in the College of
Veterinary Medicine, Mississippi State University. I am supervised by Prof. Tong Zhang.
I also work closely with Dr. Yu Zhang and Prof. Xiu-Feng Wan. I was a Post-Doctoral
Associate with Dr. Yu Zhang in Hong Kong Baptist University for one year. I received my
Ph.D. degree from Peking University in 2014 and my Ph.D. supervisor was Prof. Kunqing
Xie; I received my B.S. degree from Dalian University of Technology in 2009. My research
interests mainly focus on large-scale machine learning and data mining. My Ph.D. thesis won
the Best Doctoral Thesis Award of Chinese Association for Artificial Intelligence (CAAI)
in 2016. I published more than 15 papers in top venues like KDD, AAAI, IJCAI, TKDE, etc. I
was invited as PC member or reviewer of top conferences and journals in machine learning
and data mining, including NIPS, AAAI, TKDE, TITS, etc.
RESEARCH
INTEREST
I am interested in developing novel methods for large-scale machine learning, data mining
and AI problems. I am especially interested in sampling, multi-task learning, sparse learning,
temporal causal modeling, dimensionality reduction, convex/non-convex optimization in
large-scale problem and applications in bioinformatics and intelligent transportation system.
EDUCATION
Ph.D. of Computer Science, School of Electronics Engineering and
Computer Science, Peking University, Beijing, China
Doctoral Thesis: Traffic Network based Multi-Task Learning Method.
(Win the Best Doctoral Thesis Award of Chinese Association for Artificial
Intelligence in 2016)
2009-Jul. 2014
B.S. of Computer Science, Department of Computer Science and
Technology, Dalian University of Technology, Dalian, China
Overall Average Score: 93.3/100
Department Rank: 1/175
2005-2009
Research Assistant Professor, College of Veterinary Medicine,
Department of Basic Science, Mississippi State University, supervised by
Prof. Tong Zhang.
Ÿ Working on statistical machine learning methods in large-scale
problems and the application in bioinformatics.
Jul. 2016Present
Post-doctoral Associate, Department of Statistics, Rutgers University,
supervised by Prof. Tong Zhang.
Ÿ Working on statistical machine learning methods in large-scale
problems, especially sampling methods and sparse learning models,
and their application in bioinformatics.
Oct. 2015Present
RESEARCH AND
WORKING
EXPERIENCE
Ÿ Published 2 papers in KDD 2016, 2 papers in AAAI 2016 and 1
technical report on large-scale sampling method.
Post-doctoral Associate, Department of Computer Science, Hong Kong
Baptist University, supervised by Dr. Yu Zhang.
Ÿ Worked on multi-task learning methods, sparse learning methods,
matrix methods, dimensionality reduction techniques and large-scale
optimization.
Ÿ Published 1 paper in KDD 2015, 2 papers in AAAI 2016, 1 paper in
TKDE and 1 paper in IJCAI.
Jul. 2014Sep. 2015
Ph.D. candidate, Key Laboratory of Machine Perception, EECS, Peking
University, supervised by Prof. Kunqing Xie.
Ÿ Worked on multi-task learning, sparse feature learning, causal
modeling, non-parametric models and their application in intelligent
transportation system (ITS).
Ÿ Published 1 KDD paper, 1 AAAI paper and some other papers in the
area of machine learning, data mining and AI.
Ÿ Developed 3 ITS software for local departments of the government
in Shanxi and Beijing, China.
2009-2014
Exchange Student, Department of Computer Science, Hong Kong Baptist
University, supervised by Dr. Yu Zhang.
Ÿ Worked on developing novel multi-task learning and sparse feature
learning models.
Jul.-Oct. 2013
TEACHING
EXPERIENCE
Teaching Assistant, Fundamentals of Computers, Peking University
Teaching Assistant, Fundamentals of Computers, Peking University
Teaching Assistant, Data Structures and Algorithm Analysis, Peking
University
Spring 2011
Spring 2010
Fall 2009
OTHER
EXPERIENCE
Research & Engineering Intern, Department of Advertisement Search,
Youdao, NETEASE.
Aug.-Oct. 2011
ACTIVITIES
Journal Reviewer: IEEE Transactions on Knowledge and Data
Engineering (TKDE)
IEEE Transactions on Intelligent Transportation Systems (TITS)
PC Member / Reviewer: AAAI 2016, NIPS 2016
HONORS AND
SCHOLARSHIPS
The Best Doctoral Thesis Award of Chinese Association for Artificial
Intelligence (CAAI)
Outstanding Ph.D. Graduate Award in Beijing
Outstanding Ph.D. Graduate Award in Peking University
President Scholarship (the highest Scholarship in Peking University)
Chinese National Scholarship (selected from top Ph.D. students in China)
Merit Student Award (selected from top postgraduates in Peking
University)
Chinese National Scholarship (selected from top undergraduates in China)
Hewlett-Packard Scholarship (selected from top undergraduates in China)
2016
2014
2014
2009-2014
2011-2012
2009-2011
2008-2009
2008-2009
2007-2008
RESEARCH
PROJECTS
PUBLICATIONS
AND
PREPRINTS
First-Class (top 1%) Scholarship, Dalian University of Technology
Champion of 2008 Northeast China ACM/ICPC Competition
2008
Team leader, “Toll Data Based Highway Decision Support System”, Major
Issue in Shanxi province, China.
Ÿ Designed the adaptive dynamic traffic flow prediction system and
anomaly detection system; led the team working on the project.
2009-2012
Team leader, “Railway Comfort Evaluation Modeling and Causality
Analysis for Equipment Alarm System”, Major Issue of Beijing Municipal
Science and Technology Commission, China.
Ÿ Proposed new learning methods for causality detection; led the team
working on the project.
2009-2012
Core researcher, “Intelligent Highway Management and Decision Support
System”, Major Issue in Anhui province, China.
Ÿ Proposed new covariates detection methods for origin-destination
analysis in large-scale traffic network.
2009-2012
Ÿ [19] Lei Han, Ting Yang and Tong Zhang. Local Uncertainty Sampling for Large-Scale
Multi-Class Logistic Regression. arXiv:1604.08098 [stat.CO], 2016.
Ÿ [18] Lei Han, Yu Zhang, Xiu-Feng Wan and Tong Zhang. Generalized Hierarchical Sparse
Model for Arbitrary-Order Interactive Antigenic Sites Identification in Flu Virus Data.
Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data
Mining (KDD), San Francisco, USA, 2016.
Ÿ [17] Lei Han, Yu Zhang and Tong Zhang Fast Component Pursuit for Large-Scale Inverse
Covariance Estimation. Proceedings of the 22nd ACM SIGKDD Conference on Knowledge
Discovery and Data Mining (KDD), San Francisco, USA, 2016.
Ÿ [16] Lei Han and Yu Zhang. Reduction Techniques for Graph-based Convex Clustering.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI), Phoenix,
Arizona, USA, 2016.
Ÿ [15] Lei Han and Yu Zhang. Multi-Stage Multi-Task Learning with Reduced Rank.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI), Phoenix,
Arizona, USA, 2016.
Ÿ [14] Lei Han and Yu Zhang. Learning Tree Structure in Multi-Task Learning. Proceedings
of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD),
Sydney, 2015.
Ÿ [13] Ye Liu, Liqiang Nie, Lei Han, Luming Zhang, David Rosenblum. Action2Activity:
Recognizing Complex Activities from Sensor Data. International Joint Conference on
Artificial Intelligence (IJCAI), 2015.
Ÿ [12] Guojie Song, Lei Han* and Kunqing Xie. Overlapping Decomposition for Gaussian
Graphical Modeling. IEEE Transactions on Knowledge and Data Engineering (TKDE),
2015. (*The corresponding author; the first two authors contributed equally)
Ÿ [11] Xiabing Zhou, Lei Han, Xingxing Xing, Haikun Hong, Wenhao Huang, Kaigui Bian
and Kunqing Xie. Incorporating temporal smoothness and group structure in learning with
incomplete data. Proceedings of 12th International Conference on Fuzzy Systems and
Knowledge Discovery (FSKD), 2015.
Ÿ [10] Lei Han and Yu Zhang. Learning Multi-Level Task Groups in Multi-Task Learning.
The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), Austin Texas, USA,
2015.
Ÿ [9] Lei Han and Yu Zhang. Discriminative Feature Grouping. The Twenty-Ninth AAAI
Conference on Artificial Intelligence (AAAI), Austin Texas, USA, 2015.
Ÿ [8] Lei Han, Yu Zhang, Guojie Song, Kunqing Xie. Tree-Sparsity based Multi-Task
Learning: A Probabilistic Framework. The Twenty -Eighth AAAI Conference on Artificial
Intelligence (AAAI), 2014.
Ÿ [7] Lei Han, Guojie Song, Gao Cong, Kunqing Xie. Overlapping Decomposition for
Causal Graphical Modeling. Proceedings of the 18th Conference on Knowledge Discovery
and Data Mining (KDD), 2012.
Ÿ [6] Lei Han, Kunqing Xie, Guojie Song. Adaptive Fit Parameters Tuning with Data
Density Changes in Locally Weighted Learning. Seventh International Symposium on
Neural Networks (ISNN), 2010.
Ÿ [5] Lei Han, Jianying Wu, Ping Gu, Kunqing Xie, Guojie Song, Shiwei Tang, Dongqing
Yang, Bingli Jiao, Feng Gao. Adaptive Knowledge Transfer Based on Locally Weighted
Learning. The Conference on Technologies and Applications of Artificial Intelligence
(TAAI), 2010.
Ÿ [4] Lei Han, Meng Shuai, Kunqing Xie, Guojie Song, Xiujun Ma. Locally Kernel
Regression Adapting with Data Distribution in Prediction of Traffic Flow. The 18th
International Conference on Geoinformatics (Geoinformatics), 2010.
Ÿ [3] Meng Shuai, Lei Han, Kunqing Xie, Guojie Song, Xiujun Ma, Guanhua Chen. An
Adaptive Traffic Flow Prediction Mechanism Based on Locally Weighted Learning. Acta
Scientiarum Naturalium Universitatis Pekinensis, 2010.
Ÿ [2] Lei Han, Xiaowen Pan, Lin Feng. High-dimensional Time Series Index Based on
Symbol Graph. Computer Engineering, 2010, Vol.36, No.1.
Ÿ [1] Jun Meng, Haibo Mo, Qiushui Liu, Lei Han, LilinWeng. Dimension Reduction of
Latent Semantic Indexing Extracting from Local Feature Space. Journal of Computational
Information Systems, 2008, 4(3):915-921.