yi_he
Yi He
Ph.D.
I am an assistant professor of Computer Science at Old Dominion University. I received my Ph.D from the Center for Advanced Computer Studies (CACS) at the University of Louisiana at Lafayette in 2020, advised by Dr. Xindong Wu . Before that, I received the B.E. degree from Harbin Institute of Technology, China, in 2013. My research interests lie broadly in data mining, machine learning, and optimization theory and specifically in online machine learning, real-time data analytics, representation learning, graph mining, recommender systems, and explainable AI. I am looking for self-motivated Ph.D. and M.S. students to join my lab, please find details here.

Contact

Department of Computer Science
Old Dominion University
Office: 3108 Engineering & Computational Sciences Building, Norfolk, VA 23529
Email: yihe@cs.odu.edu | y1he@odu.edu
Tel: (757)-683-7821 | Cell: (337)-255-3817

News
  • [06/2022] A novel generative model for streaming feature online learning is accepted by ACM MM'22 . Congratulations to Heng! Excellent job for a first-year PhD student.
  • [06/2022] I will be chairing the Multifarious Multimedia session in ICMR'22. Please join us on June 30th, 10:30 am, at Central King Building. Looking forward to meeting you at NJIT!
  • [06/2022] I am running a special issue: Human-Centric Computing and Equitable Artificial Intelligence on Frontiers in Neurorobotics (IF 2.65). Manuscripts are welcomed!
  • [05/2022] A new metric-learning based regularizer for stochastic matrix factorization has been accepted by IEEE Transactions on Services Computing .
  • [04/2022] A new graph algorithm for cyber risk quantification in distributed Cyber-Physical Systems has been accepted by IEEE Transactions on Industrial Informatics.
  • [04/2022] A new generative model to poison GNNs with camouflaged malicious nodes has been accepted by ACM ICMR'22. Congratulations, Chao, for the acceptance and for the very productive internship in my lab!
  • [03/2022] I will be serving as PC members for ECML-PKDD 2022 and CIKM 2022.
  • [01/2022] I will be serving as Registration Chair of ICDM-2022. Very glad to do more service for the community.
  • [01/2022] A new hyper-parameter auto-tuning method for "deep" recommender systems has been accepted by DASFAA-2022 .
  • [12/2021] I receive the Faculty Innovator Grant award. Our proposal entitled "Inside Out: Demonstrating Emotion Specificity with a Novel AI Tool" strives to democratize the cutting-edge AI algorithms to psychology study. Kudos to PI Xiao Yang.
  • [12/2021] I will be serving as a member of the program committee of IJCAI-ECAI 22.
  • [12/2021] Congratulations to my PhD student, John Atwood, for getting the student travel award of IEEE International Conference on Big Data 2021.
  • [10/2021] A new neural-architecture search (NAS) method that can work under a federated and privacy-preserving context has been accepted by IEEE T.KDE.
  • [10/2021] A new web service recommender system with ensemble latent factor modeling is accepted by IEEE ICBK 2021; ICBK is the sister conference of ICDM.
  • [10/2021] I am running a Special Issue: Neurorobotics and Neurological Disorders on Frontiers in Neurorobotics (IF 2.65). Manuscripts presenting machinery that helps overcoming nervous system disorders are very welcomed.
  • [08/2021] A new Copula model to learn feature interactions and dynamics in streaming data has been accepted as a regular paper (acceptance rate = 9.9%) by IEEE ICDM 2021.
  • [08/2021] A new latent factor analysis for online feature selection under high sparsity has been accepted by IEEE T.SMC.
  • [04/2021] An interpretable data synthesis technique using GAN for imbalanced classification problem has been accepted by IJCAI 2021.
  • [01/2021] A new lifelong learning paradigm that overcomes catastrophic forgetting with an "easy-to-hard" task curriculum has been accepted by WWW 2021.
  • [12/2020] A semi-supervised online learning algorithm dealing with streaming features has been accepted by AAAI 2021.

Professional Services
Registration Chair
  • IEEE International Conference on Data Mining (ICDM) 2022
  • Session Chair
  • ACM International Conference on Multimedia Retrieval (ICMR) 2022
  • Program Committee
    • Data Mining: ICDM'22, CIKM'22, ECML-PKDD'22
    • Artificial Intelligence: AAAI'22, AAAI'21*, IJCAI'22
    • (*Selected as the top 25% PC members in AAAI'21)
    Journal Referees
    • IEEE Transactions on Mobile Computing
    • IEEE Transactions on Neural Networks and Learning Systems
    • IEEE Transactions on Intelligent Transportation Systems
    • IEEE/CAA Journal of Automatica Sinica
    • Elsevier Neurocomputing
    • Frontiers in Neurorobotics

    Teaching
    Fall 2021
    • CS390 -- Intro to Theoretical Computer Science (Website)
    Spring 2022
    • CS795/895 -- TPC: Deep Learning on Graphs (Website)