Dongjin Song

Dongjin Song

Assistant Professor of CSE

University of Connecticut


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.

Recruiting: Looking for Ph.D. students to enroll in Spring/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.

September 2021 I am honored to receive the 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 Award at UConn as PI! Thanks for the support, OVPR!
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
December 2020 One paper is accepted to SDM 2021! Congrats to all co-authors!
[1] Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection
December 2020 Two papers are accepted to AAAI 2021! Congrats to all co-authors!
[1] Deep Dynamic Gaussian Mixture Generative Model for Robust Forecasting on Sparse Multivariate Time Series
[2] Multi-task Modular Recurrent Networks
November 2020 I will serve as Senior PC for IJCAI 2021.
October 2020 Multiple fully-funded Ph.D. positions are available for Fall 2021!
August 2020 I will server as Senior PC for AAAI 2021.
August 2020 I join UConn CSE as an Assistant Professor!


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


  • 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)