Every tens of years the fundemental philosophy that drives the reserach of machine intelligence...
Department of Computer Science
Rutgers The State University of New Jersey
110 Frelinghuysen Road
Piscataway, NJ 08854-8019
My research area is in Machine Learning and Data Mining, Information Retrieval and Recommender Systems, and Internet Economics. Within the above areas, our recent research focuses on the intersection of Machine Learning and Data Mining, Recommendation and Search Systems, Knowledge Graphs, and Computational Economics, including 1) Intelligent and Explainable Decision Making Systems – developing explainable machine learning theories and algorithms for decision making systems such as recommendation and search; 2) Internet Economics – designing economic-aware machine learning algorithms and theories in web-based systems such as recommendation, search, and sharing economy; 3) Conversational Search, Recommendation, and QA algorithms based on neural networks. My group is also broadly interested in "Personalized X", including Personalized Recommendation, Search, Education, Chatbots, etc.
In the previous I was a postdoc in the Center for Intelligent Information Retrieval (CIIR) at UMass Amherst, and did my PhD and BE in Computer Science at Tsinghua University, with a BS in Economics at Peking Univeristy. I am a Siebel Scholar of the class 2015.
Welcome to visit our lab homepage, The Rutgers Web Intelligent Systems and Economics (WISE) Lab: http://wise.cs.rutgers.edu
2018-03 We are organizing the 1st International Workshop on ExplainAble Recommendation and Search (EARS 2018) on July 12, to be co-located with SIGIR 2018 at Ann Arbor Michigan. For information and call for papers, please visit https://ears2018.github.io.
Massive Data Mining and Learning
Computational Economics for Data Analytics