Download Lei Han - Rutgers Statistics

Lei Han
RESEARCH
INTEREST
EDUCATION
Birth: Mar. 1988, China
Address: 486 Hill Center, Piscataway, NJ, 08854
E-mail: [email protected]; [email protected]
Homepage: http://www.stat.rutgers.edu/home/lhan/
Phone: +1 (848) 404 4412
I am interested in developing novel models and algorithms for machine learning, data mining
and AI problems. I am especially interested in multi-task learning, sparse learning, temporal
causal modeling, dimensionality reduction, convex/non-convex optimization in large-scale
problem and their applications in bioinformatics.
Ph.D. obtained in Computer Science, School of Electronics Engineering
2009-Jul. 2014
and Computer Science, Peking University. (Doctoral Thesis: Traffic
Network based Multi-Task Learning Method)
B.S. obtained in Computer Science, Department of Computer Science and
Technology, Dalian University of Technology. (Overall Average Score:
93.3/100, Department Rank: 1/175)
RESEARCH
EXPERIENCE
Post-doctoral Associate, Department of Statistics, Rutgers University,
supervised by Prof. Tong Zhang.
l Worked on sampling methods, sparse learning models, matrix
methods, large-scale optimization and their application in
bioinformatics.
l Submitted 2 papers to KDD 2016.
2005-2009
Oct. 2015-Present
Postdoctoral Research Fellow, Department of Computer Science, Hong
Kong Baptist University, supervised by Prof. Yu Zhang.
l Worked on multi-task learning methods, sparse learning
methods, matrix methods, dimensionality reduction techniques
and large-scale optimization.
l Published 1 KDD paper, 2 AAAI papers, 1 TKDE paper and 1
IJCAI paper.
Jul. 2014Sep. 2015
Ph.D. candidate, Key Laboratory of Machine Perception, EECS, Peking
University, supervised by Prof. Kunqing Xie.
l Worked on multi-task learning, sparse feature learning, causal
modeling and non-parametric models.
l Published 1 KDD paper, 1 AAAI paper and some other papers
in the area of machine learning, data mining and AI research.
l Worked on designing effective traffic analysis models for
intelligent transportation system (ITS).
l Developed 3 ITS softwares for two local departments of the
government and one company respectively.
2009-2014
Exchange Student, Department of Computer Science, Hong Kong
Baptist University, supervised by Prof. Yu Zhang.
l Worked on developing novel multi-task learning and sparse
feature learning models.
PUBLICATIONS
Ø
Ø
Ø
Ø
Ø
Ø
Ø
Ø
Ø
Ø
Ø
Ø
Ø
Ø
Ø
Jul.-Oct. 2013
[15] 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.
[14] 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.
[13] 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.
[12] 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.
[11] Guojie Song, Lei Han and Kunqing Xie. Overlapping Decomposition for
Gaussian Graphical Modeling. IEEE Transactions on Knowledge and Data
Engineering (TKDE), 2015.
[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.
[9] Lei Han and Yu Zhang. Discriminative Feature Grouping. The Twenty-Ninth
AAAI Conference on Artificial Intelligence (AAAI), Austin Texas, USA, 2015.
[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.
[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.
[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.
[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.
[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.
[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.
[2] Lei Han, Xiaowen Pan, Lin Feng. High-dimensional Time Series Index Based on
Symbol Graph. Computer Engineering, 2010, Vol.36, No.1.
[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.
ACTIVITIES
PC Member and Reviewer: AAAI 2016
CODING SKILLS
I am familiar with Matlab, C and C++
RESEARCH
PROJECTS
Team leader, “Toll Data Based Highway Decision Support System”,
Major Issue in Shanxi province, China.
l 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.
l Proposed new learning methods for causality detection; led the
team working on the project.
2009-2012
Core development staff, “Intelligent Highway Management and Decision
Support System”, Major Issue in Anhui province, China.
l Proposed new covariates detection methods for origin-destination
analysis in large-scale traffic network.
2009-2012
WORKING
EXPERIENCE
Research & Engineering Intern, Department of Advertisement Search,
Youdao, NETEASE.
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
HONORS AND
SCHOLARSHIPS
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)
First-Class (top 1%) Scholarship, Dalian University of Technology
Champion of 2008 Northeast China ACM/ICPC Competition
Aug.-Oct. 2011
Spring 2011
Spring 2010
Fall 2009
2014
2014
2009-2014
2011-2012
2009-2011
2008-2009
2008-2009
2007-2008
2008