I am an assistant professor in the Department of Computer Science and Engineering, University of Connecticut (UConn). Before that, I was a research staff member at NEC Labs America in Princeton, NJ, since July 2016. In June 2016, I received my Ph.D. degree in the Department of Electrical and Computer Engineering from University of California San Diego (UCSD) with the guidance of Prof. David A. Meyer. My thesis committee includes Prof. Lawrence Saul, Prof. Nuno Vasconcelos, Prof. Gert Lanckriet, and Prof. Julian McAuley. I also work closely with Prof. Dacheng Tao from the University of Sydney.
I have broad research interests in machine learning, data mining, deep learning, federated learning, and related applications for time series representation, similarity search, prediction/forecasting, and anomaly detection (with data from IoT devices, healthcare, smart city, environmental science, etc.). I am also interested in graph representation learning with applications to link prediction, node classification, recommendation, dynamic systems, etc.
Recruiting: Looking for Ph.D. students to jointly work with Prof. Bing Wang at UCONN CSE! If you are interested in working on machine learning/deep learning/reinforcement learning/federated learning, please send me an email with your CV and transcript.
||I am invited to give a talk about “Continual Graph Learning” at the CS department of University of Central Florida on November 17th, 2022!|
||Our tutorial proposal about “Continual Graph Learning” is accepted to SDM 2023! Congratulations to Xikun, Yushan, Zijie and all co-authors.|
||One paper is accepted to Smart Health and another paper gets accepted to Computational and Structural Biotechnology Journal! Congratulations to all collaborators!|
||One paper is accepted to IEEE International Conference on Big Data! Congratulations to Wei and all co-authors!|
||I am invited to give a talk about “Harnessing Deep Neural Networks forMultivariate Time Series Analysis” at the CS department of University of Georgia on Oct 28th, 2022! Link|
||I am honored to received another Gift Fund from NEC Labs America (NECLA) as Sole PI! Thanks for the support, NECLA!|
||Two papers are accepted to NeurIPS 2022 (one to the main track and one to the dataset and benchmark track)! Congratulations to Yang, Xikun, and all collaborators!|
||One paper about Continual Graph Learning (CGL) is accepted to ICDM 2022! Congratulations to Xikun!|
Ph.D. in ECE, 2016
University of California, San Diego (UCSD)
The Hong Kong Polytechnic University
University of Science and Technology of China (USTC)
* denotes the student/intern I supervised/mentored.
Discover full publication list.