IJCAI'22 Workshop-AI4TS: AI for Time Series Analysis: Theory,
Algorithms, and Applications
WSDM'22 Workshop FL4P-WSDM: Federated Learning for Private Web Search and Data Mining
Description: Assistant Professor of CSE
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
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.
IJCAI'22 Workshop-AI4TS: AI for Time Series Analysis: Theory,
Algorithms, and Applications
WSDM'22 Workshop FL4P-WSDM: Federated Learning for Private Web Search and Data Mining