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(Lei Han)
1988
3
486 Hill Center
Piscataway
[email protected]
http://www.stat.rutgers.edu/home/lhan/
+1 (848) 404 4412
Tong Zhang
Yu Zhang
Xiu-Feng Wan
2014
2009
2016
19
CAAI
15
IJCAI
TKDE
NIPS
AAAI
KDD
TKDE
AAAI
TITS
/
2009-2014
2016
2005-2009
93.3 / 100
1 / 175
2016.7•
2015.10•
KDD 2016
•
AAAI 2016
2
2
1
2014-2015
•
KDD 2015
•
AAAI 2015
TKDE
1
IJCAI 2015
3
1
2009-2014
Ÿ
KDD 2012
Ÿ
AAAI 2014
1
1
3
Ÿ
2013.72013.10
Ÿ
2011
2010
2009
2011.82011.10
: IEEE Transactions on Knowledge and Data
Engineering (TKDE) IEEE Transactions on Intelligent
Transportation Systems (TITS)
/
: AAAI 2016, NIPS 2016
CAAI
2016
2014
2014
2009-2014
5
2011-2012
2009-2011
2008-2009
2008-2009
1%
ACM/ICPC
2007-2008
2008
2009-2012
Ÿ
2009-2012
Ÿ
2009-2012
Ÿ
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.