School of software tsinghua university

Your tuition fee is no usually covered completely. It depends upon your progress, they check it yearly and then decide whether to provide a complete Tuition Fee compensation or Partial.

Students have to meet the eligibility criteria for the Tsinghua University Scholarship Here is the complete list of documents that you should prepare before applying on online Application Portal. You are going to apply for 3 top-ranked university in Asia, so there will be very high competition. You should expect high competition there are must have good academic records to secure your admission at Tsinghua University under CSC Scholarship.

I want to do masters in IT. Please help me. Save my name, email, and website in this browser for the next time I comment. Liu, Y. Huang, Z. CIKM , , CHI , , ICDM , - , Computer Graphics Forum.

Paper Video Presentation. Zhou, Weihong Qian. AAAI , , SDM , , Zhou, Huamin Qu. PacificVis , , VAST , , CIKM , , Candidate of the best paper award.

Information Retrieval. Computer-Aided Design 33 14 : Pacific Graphics , , IJCAI AAAI WWW Inferring Directions of Undirected Social Ties. Yu, Jun Chen , Changping Wang. Who is answering whom? Cluster Computing , preprint, On Generalized Bisimilarity Join. Chinese Journal of Software , Chinese Journal of Computers , Volume, Number:9, Investigating the role of musical genre in human perception of music stretching resistance.

CoRR , Who Is Answering to Whom? Learning the Structures of Online Asynchronous Conversations. Preference Join on Heterogeneous Data. Will You "Reconsume" the Near Past? Fast Prediction on Short-term Reconsumption Behaviors. Music Stretching Resistance : The maximum elongating rate and the minimum compressing rate of songs, the title and genre of the songs as well as the name of the artists. THSS Homepage. About Me I am currently a senior software engineer at Baidu Inc. Contact Email: chenjun14 at tsinghua.

Research Interest My principle research interests generally lie in machine learning and data mining from large scale datasets with the focus on personalization, recommender systems and learning from user behaviors.