I am a software engineer at Google, working on Google Knowledge Graph using deep learning and NLP techniques.

I obtained my master degrees in computer science in a joint program between Tsinghua University and Carnegie Mellon University. I worked with Professor Jie Tang in Tsinghua University and Professor Christos Faloutsos in CMU. I obtained my bachelor degree from the computer science department of Tsinghua University.

I am interested in the fields of data mining, machine learning and how to apply the latest data mining, machine learning and natural language processing techniques to do better predictive modelling in practice.

When I was in school, I like participating data mining contests and computer programming contests. I won prizes in 5 international data mining contests, and one champion, three runner-ups in regional ACM ICPC. I am also a Grandmaster in Kaggle.com.

Software Engineer, Google Inc.
Oct 2016 - Present
Google Knowledge Graph.

Software Engineering Intern, LinkedIn Coporation
Jun 2015 - Sep 2015, Mentored by Danny Shacham
Zero-shot learning for inferring facts for the entities in LinkedIn Knowledge Graph.

Research Intern in Database Group, Carnegie Mellon University
Aug 2014 - Jun 2015, Advised by Professor Christos Faloutsos
Worked on modeling multi-dimensional, skewed distributions.

Research Intern in Knowledge Engineering Group, Tsinghua University
Oct 2010 - Jun 2016, Advised by Professor Jie Tang
Worked on research topics on data mining, which includes but not limited to user behavior modeling, recomendation system, link prediction and topic modeling.

Tsinghua University - Carnegie Mellon University Dual Master Program in Computer Science
Aug 2013 - Jul 2016
M. S. in Computer Science

Department of Computer Science and Technology, Tsinghua University
Aug 2009 - Jul 2013
B. Eng. in Computer Science and Technology

Venkata Krishna Pillutla*, Zhanpeng Fang*, Pravallika Devineni, Danai Koutra, Christos Faloutsos, and Jie Tang. On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and Discoveries. In Proceedings of 2016 SIAM International Conference on Data Mining (SDM'16). (* indicates equal contribution.)

Zhanpeng Fang*, Zhilin Yang*, and Yutao Zhang. Collaborative Embedding Features and Diversified Ensemble for E-Commerce Repeat Buyer Prediction. In IJCAI Contest Workshop 2015. (* indicates equal contribution. Invited paper for competition win) [PDF] [Slides]

Zhanpeng Fang, and Jie Tang. Uncovering the Formation of Triadic Closure in Social Networks. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI'15). pp. 2062-2068. [PDF] [Slides]

Jing Zhang, Zhanpeng Fang, Wei Chen, and Jie Tang. Diffusion of “Following” Links in Microblogging Networks. IEEE Transaction on Knowledge and Data Engineering (TKDE) , Volume 27, Issue 8, 2015, pp. 2093-2106. [PDF]

Jie Tang, Zhanpeng Fang, and Jimeng Sun. Incorporating Social Context and Domain Knowledge for Instance Recognition. In Proceedings of the Twenty-Fourth World Wide Web Conference (WWW'15). pp. 517-526. [PDF]

Zhanpeng Fang, Xinyu Zhou, Jie Tang, Wei Shao, A.C.M. Fong, Longjun Sun, Ying Ding, Ling Zhou, and Jarder Luo. Modeling Paying Behavior in Game Social Networks. In Proceedings of the Twenty-Third Conference on Information and Knowledge Management (CIKM'14). pp. 411-420. [PDF] [Slides]

Zhanpeng Fang, and Jie Tang. CIKM 2014 Competition. In Proceedings of the Twenty-Third Conference on Information and Knowledge Management (CIKM'14). [Slides] [Poster] (Second Place Award)

Tiancheng Lou, Jie Tang, John Hopcroft, Zhanpeng Fang, and Xiaowen Ding. Learning to Predict Reciprocity and Triadic Closure in Social Networks. ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 7, Issue 2, July 2013, Article No. 5. [PDF]

Yang Yang, Jianfei Wang, Yutao Zhang, Wei Chen, Jing Zhang, Honglei Zhuang, Zhilin Yang, Bo Ma, Zhanpeng Fang, Sen Wu, Xiaoxiao Li, Debing Liu, and Jie Tang. SAE: Social Analytic Engine for Dynamic Networks. In Proceedings of the Ninteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'13, demo paper). pp. 1502-1505. [PDF]

Sen Wu*, Zhanpeng Fang*, and Jie Tang. Accurate Product Name Recognition from User Generated Content. (ICDM Contest) In Proceedings of ICDM 2012 Contest. pp. 874-877. (* indicates equal contribution.) [PDF] [Slides] (First Place Award)

Siebel Scholar (93 receivers annually from the world’s leading graduate schools), 2015

Rank 2nd and 3rd in Two Stages of IJCAI 2015 Repeat Buyers Prediction Competition, 2015

Rank 2nd in CIKM 2014 Competition, 2014

Rank 2nd in Kaggle American Express Risky Business Prediction Competition (Awarded $30K), 2014

Rank 3rd in Kaggle Genentech Flu Forecasting Competition (Awarded $25K), 2014

Champion in ICDM 2012 Contest, 2012

Champion once and rank 2nd for 3 times in regional ACM ICPC (8 gold medals total), 2009-2012

Champion in Tsinghua University-HKUST Programming Contest, 2012

Gold Medal (Rank 7th nationwide in China) in National Olympiad in Informatics, 2008

Outstanding Bachelor Graduate of Tsinghua University and Beijing City, 2013

Tsinghua Top Grade Scholarship (The highest honor for undergraduate students in Tsinghua, only 10 receivers out of 3300 peers), 2012

Tung OOCL Scholarship, 2010, 2011