Research Interests
Designing effective and efficient machine learning algorithms and tools to handle mass web data; machine learning; computer vision; data mining; information retrieval Research Experiences Data Mining in Large Scale Social and Information Networks, at Stanford University, supervised by Prof. Jure Leskovec 2011.04 - Now Unsupervised Feature Learning for Processing Natural Images, at Stanford University, supervised by Prof. Andrew Ng 2010.09 - 2011.03 Research on Learning to Rank, at Microsoft Research Asia (MSRA) 2009.02 - 2010.05 Large-scale Machine Learning Toolkit Project, at Microsoft Research TRECVID competition (hosted by National Institute of Standards and Technology), at Tsinghua University 2009, 2008 Projects SIGMA: Large-scale and Parallel Machine Learning Toolkit (Current release supports multi-core environment in single machine) Designed and implemented nearly ten parallel machine learning algorithms on MPI-based clusters with 1000+ cores. Algorithms include logistic regression, boosting, decision tree, conditional random field, Naïve Bayes, etc. Papers Published: [pointer to DBLP]
Information Diffusion and External Influence in Networks [links available soon] *new Co-optimization of Multiple Relevance Metrics in Web Search A Novel Click Model and Its Applications to Online Advertising A General Magnitude-Preserving Boosting Algorithm for Search Ranking [Slides] To Divide and Conquer Search Ranking by Learning Query Difficulty Inverse Time Dependency in Convex Regularized Learning P-packSVM: Parallel Primal Gradient Descent Kernel SVM THU-IMG at TRECVID 2009 Awards and HonorsACM/ICPC World Final 2012, 13th Place (Representing Stanford University) [official link] [certificate] 2012 *new UPE First Solution Award
(For Solving the First Problem in ACM/ICPC World Final 2012) [Photo at Award Ceremony] 2012 *new Champion of ACM/ICPC Pacific Northwest Region 2011First place in Stanford Local Programming Contest 2011 2011First place in Stanford Local Programming Contest 2010 (both first and second round) 2010Excellent Graduate from the Department of Computer Science&Technology, Tsinghua University 2010First Prize in Challenge Cup Competition of Science & Technology of Tsinghua University 2010China Computer World Scholarship for outstanding computer science major students in China 2010 Best Student Paper Award Runner-Up at IEEE International Conference of Data Mining (ICDM) 2009 IBM Scholarship for outstanding computer science major students in China 2009 Yao Award (named after the Turing Award Laureate Andrew Yao), Tsinghua University (second 2009
place out of six recipients, selected from 27 classmates of Yao Class) Scholarship for excellent academic performance, Tsinghua University (awarded to top 2% students) 2008, 2007 Asian Regional Contest of ACM/ICPC, four gold medals 2007, 2006 One gold medal and two silver medals in National Olympiad in Informatics 2003 ~ 2005 Courses at Stanford University CS229 Machine Learning A+ EE364A Convex Optimization I A+ EE364B Convex Optimization II A- Skills Proficient in C#, C++, C, JAVA, Matlab, HTML, Javascript Language: Chinese (native), English (fluent) Member of Stanford University Table Tennis Club Second Runner-up in men's singles table tennis match of Tsinghua University, 2010 Runner-up in men's singles table tennis match of the Department of Computer Science & Technology, Tsinghua University, 2009 Third-class national referee for table tennis |
