Theoretical Computer Science, Uncertainty in AI

--National Science Foundation Project: Probabilistic Models of Knowledge-Belief Systems and its Applications in Security Protocols (PI)
--Key Project from Ministry of Science and Technology of China: Very large reusable knowledge management (PI: Prof. Du)
--Open Project from State Key Lab for Computer Science of Chinese Academy of Sciences: Evidential Networks (PI)
--Key Project from the Central Government： Secure Social Decision Making with Big Data (PI)
--Key Project from National Science Foundation of China: Uncertainty in Big-data Machine Learning (PI for subproject)

A Complete deductive system for probability logic, J. Logic and Computation, 2009 [Download]
Approximation of Markov processes through filtration, Theoretical Computer Sciences [Download]
Evidentail Reasoning on non-classical formalisms, Artificial Intelligence Journal
Belief functions on distributive lattices, AAAI-12
Probability Logic for Harsanyi type spaces, Logical Methods in Computer Science Vol 10 (2),pp 1-35, 2014

（Feb.2019-March 2020）Visiting Associate Professor, Department of Statistics, Harvard University
（Oct.2009 - present） Associate Professor, School of Information, Renmin University of China, Beijing
（Oct. 2007-Aug. 2009） Postdoctoral Fellow, Department of Computer Science and Technology, Tsinghua University, Beijing

--(June 2007) PhD in Applied Mathematics at Indiana University, Bloomington

1. Research Award, School of Information, Renmin University, 2012
2. DAAD scholarship awards (twice), June 2008, Oct.2010.
3. William B. Wilcox Mathematics Award from Indiana University (for recognition of outstanding performance in graduate studies and expectation of continued academic success in the future), 2007.