# Biography

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, 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, etc.

Call for Paper: FL4P-WSDM 2022 Please consider contributing submissions to the Federated Learning for Private Web Search and Data Mining (FL4P) workshop at WSDM 2022. Link

Recruiting: Looking for Ph.D. students to enroll in Fall 2022! If you are interested in working on machine learning/deep learning/data mining projects in my group, please send me an email with your CV and transcript.

News
January 2022 I am honored to receive a Research Grant from USDA-NIFA Agriculture and Food Research Initiative (Award No.: 2022-67023-36399) as Co-PI! Link
January 2022 Welcome Yushan to join our group!
December 2021 I am honored to receive a Gift Fund from NEC Labs America (NECLA)! Thanks for the support, NECLA!
November 2021 Our workshop proposal Federated Learning for Private Web Search and Data Mining (FL4P) is accepted to WSDM 2022! Please consider contributing submissions to the workshop! Link
September 2021 I am honored to receive a Research Grant from Travelers as Co-PI! Thanks for the support, Travelers!
August 2021 Welcome Qianying and Binghao to join our group!
August 2021 One paper is accepted to ACM CIKM 2021! Congrats to all co-authors!
[1] Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization
July 2021 I will server as Senior PC for AAAI 2022.
July 2021 One paper is accepted to ACM Multimedia 2021! Congrats to Xinyang and all co-authors!
[1] Convolutional Transformer based Dual Discriminator General Adversarial Networks for Video Anomaly Detection
May 2021 I am honored to win the Research Excellent Program (REP) Award at UConn as PI! Thanks for the support, OVPR! Link
March 2021 One paper is accepted to CVPR 2021! Congrats to all co-authors!
[1] FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems
February 2021 One paper is accepted to ACM Transactions on Information Systems! Congrats to all co-authors!
[1] Inductive Contextual Relation Learning for Personalization
More News…

### Interests

• Machine Learning
• Data Mining
• Deep Learning
• Time Series Analysis
• Graph Representation Learning

### Education

• Ph.D. in ECE, 2016

University of California, San Diego (UCSD)

• MPhil, 2010

The Hong Kong Polytechnic University

• B.Eng, 2007

University of Science and Technology of China (USTC)