Welcome to my personal page.
I am currently a Research Scientist at Yahoo Labs. I graduated from the PhD program of Computational Science & Engineering, at Georgia Tech. My research interests include machine learning and numerical optimization.
Contact:
Address: 701 1st Ave, Sunnyvale, CA 94089
Email: yunlong (AT) yahoo-inc.com
About Me:
At Yahoo! Labs, I build machine learning components for Yahoo!'s search engine, including image search ranker, video search ranker and query spelling service.
At Georgia Tech, I worked with Prof. Haesun Park on matrix factorization methods for data mining.
I also worked on nonlinear optimization problems with Prof. Renato Monteiro.
Before I went to Georgia Tech in the fall of 2009, I received my B.S. in Mathematics from University of Science and Technology of China (USTC). I got my M.S. degree in Statistics in 2013
Refereed Journal and Conference Articles:
- Liangda Li, Hongbo Deng, Yunlong He, Anlei Dong, Yi Chang and Hongyuan Zha. Behavior Driven Topic Transition for Search Task Identification. Accepted by WWW2016
- Y. He, R. D. C. Monteiro, An accelerated HPE-type algorithm for a class of composite convex-concave saddle-point problems. Accepted by SIAM Journal on Optimization
- Y. He, R. D. C. Monteiro, Accelerating block-decomposition first-order methods for solving generalized saddle-point and Nash equilibrium problems. SIAM J. Optim. 25-4 (2015), pp. 2182-2211
- Y. He, K.Kavukcuoglu, Y. Wang, A. Szlam and Y. Qi, Unsupervised Feature Learning by Deep Sparse Coding, Proceedings of the SIAM International Conference on Data Mining, 2014.
- J. Kim, Y. He and H. Park, Algorithms for Nonnegative Matrix and Tensor Factorizations: A Unified View Based on Block Coordinate Descent Framework. Journal of Global Optimization, March 2013.
- Y. He, Y. Qi, K.Kavukcuoglu and H. Park, Learning the Dependency Structure of Latent Factors, Advances in Neural Information Processing Systems 25, 2375--2383, 2012.
- Y. He, R. D. C. Monteiro, and H. Park, A Fast Algorithm for Sparse PCA and a New Sparsity Control Criterion, Proceedings of the SIAM International Conference on Data Mining, Mesa, AZ, April 28-30, 2011.