个人简历

Working Experiences
.Nanjing University, Nanjing, China
Professor, School of Artificial Intelligence, Since Dec., 2020
Research Professor, School of Artificial Intelligence, Dec., 2019 - Dec., 2020
Associate Professor, Dept. of Computer Science and Technology, Apr., 2014 - Dec., 2019
.Michigan State University, East Lansing, USA
Postdoc, Aug., 2012 - Apr., 2014
Education Experiences
.Zhejiang University, Hangzhou, China
Ph.D., Computer Science and Technology, Sep., 2007 - Jun., 2012
B.E., Software Engineering, Sep., 2003 - Jun., 2007
.Michigan State University, East Lansing, USA
Visiting Student, Jun., 2011 - Dec., 2011
Honors and Awards
2021, NSFC Excellent Young Scientists Fund
2019, Microsoft Research Asia Collaborative Research 2019 Grant Award
2018, DAMO Academy Young Fellow
2017, Young Elite Scientist Sponsorship Program by CAST
2016, Young Talent Development Program of the CCF
2012, AAAI-12 Outstanding Paper Award
2011, Chu Kochen Award of Zhejiang University (Highest Honour of Zhejiang University)
2010, ACM Multimedia 2010 Best Paper Award Runner-up
2010, Scholarship Award for Excellent Doctoral Student granted by Ministry of Education

研究领域

Machine Learning, Optimization""

近期论文

Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the O(1/T) Convergence Rate [PDF, Bibtex]
L. Zhang, and Z.-H. Zhou
In Proceedings of the 32nd Annual Conference on Learning Theory (COLT 2019), pages 3160 - 3179, 2019
Empirical Risk Minimization for Stochastic Convex Optimization: O(1/n)- and O(1/n^2)-type of Risk Bounds [PDF, Bibtex]
L. Zhang, T. Yang, and R. Jin
In Proceedings of the 30th Annual Conference on Learning Theory (COLT 2017), pages 1954 - 1979, 2017.
Efficient Algorithms for Robust One-bit Compressive Sensing [PDF, Supplementary, Bibtex]
L. Zhang, J. Yi, and R. Jin
In Proceedings of the 31st International Conference on Machine Learning (ICML 2014), 2014.
Linear Convergence with Condition Number Independent Access of Full Gradients [PDF, Bibtex]
L. Zhang, M. Mahdavi, and R. Jin
In Advances in Neural Information Processing Systems 26 (NIPS 2013), pages 980 - 988, 2013.
Recovering the Optimal Solution by Dual Random Projection [PDF, Bibtex]
L. Zhang, M. Mahdavi, R. Jin, T. Yang, and S. Zhu
In Proceedings of the 26th Conference on Learning Theory (COLT 2013), pages 135 - 157, 2013.