Dongjin Song

Dongjin Song

Assistant Professor of CSE

University of Connecticut

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, 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.

Call for Participation:

  1. AI4TS: AI for Time Series Analysis: Theory, Algorithms, and Applications @ IJCAI 2022 Link

  2. 8th International Workshop on Mining and Learning from Time Series – Deep Forecasting: Models, Interpretability, and Applications @ KDD 2022 Link

News
June 2022 One paper is accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)! Congratulations to Xikun!
[1] Hierarchical Prototype Networks for Continual Graph Representation Learning Link
May 2022 Two of our papers have been selected as the most influential papers on KDD and IJCAI by paperdigest.org! [1] HetGNN@KDD 2019 [2] DA-RNN@IJCAI 2017
May 2022 My SDP students won the second place in UCONN CSE’s 2022 Senior Design Project competition! Congratulations to all! Link
May 2022 Hangyue was admitted to the Ph.D. program in the CS department of Washington University in St. Louis and Jason was admitted to the CS undergraduate program at the University of Michigan - Ann Arbor! Congratulations!
April 2022 I am honored to receive a Research Grant from NSF as Co-PI! Congrats to all collaborators and thanks for the support, NSF! Link
April 2022 I am honored to receive the Scholarship Facilitation Award at UConn! Thanks for the support, OVPR! Link
April 2022 Our workshop proposal 8th International Workshop on Mining and Learning from Time Series – Deep Forecasting: Models, Interpretability, and Applications is accepted to KDD 2022! Please consider contributing submissions to the workshop! Link
March 2022 I am honored to receive a Research Grant from USDA as Co-PI! Congrats to all collaborators and thanks for the support, USDA! Link
March 2022 I will give a talk at Morgan Stanley on March 17th!
March 2022 Our workshop proposal AI4TS: AI for Time Series Analysis: Theory, Algorithms, and Applications is accepted to IJCAI 2022! Please consider contributing submissions to the workshop! Link
March 2022 I am honored to received a Gift Fund from NEC Labs America (NECLA) as Sole PI! Thanks for the support, NECLA!
More News…

Interests

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

Contact