yi_he
Yi He
Ph.D.
I am an assistant professor of Computer Science at Old Dominion University, during Fall 2021 to Spring 2024. 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 (HIT), China, in 2013. My research interests lie broadly in data mining, machine learning, and optimization theory and specifically in online learning, real-time data analytics, representation learning, graph mining, recommender systems, and explainable AI. I am a recipient of the IEEE TCII Volunteer Award 2022 and the NSF CRII Award 2023. This webpage has stopped to be updated since my relocation to William & Mary in 2024. Feel free to reach out to yihe@wm.edu

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
Office: (757)-683-7821

News
  • [07/2023] Honored to receive the NSF CORE collaborative research as the Lead PI (ODU link, FAU link). Kudos to Drs. Xingquan Zhu, Hongyi Wu, and Laurent Cherubin for the unwavering support, expertise, and dedication that have made this happen. A huge thanks to NSF for the trust and support on the open-world streaming graph learning research!
  • [06/2023] Thrilled and humbled to receive the NSF CRII award (link). Many thanks to NSF for the trust, confidence, and support on the real-time data mining research!
  • [06/2023] One paper gets accepted by ECML-PKDD'23 (199/830 = 24%).
  • [05/2023] I will serve on the NSF CISE panel.
  • [04/2023] Our survey gets accepted by IJCAI'23 (survey track: 34/148 = 23%). We aim to construct a comprehensive chronicles of online learning algorithms in open feature spaces, envisioning exciting future trajectories in this vibrant research field.
  • [04/2023] Delighted to receive the SRFP award. Thanks to ODU for the support!
  • [03/2023] One paper gets accepted by IEEE Transactions on Services Computing . Congrats to Yujia -- excellent work done by an MS student!
  • [01/2023] Delighted to receive the CCI grant as PI (media). Thanks to COVA CCI for the support!
  • [01/2023] Humbled to receive the Volunteer Award from the IEEE Technical Community on Intelligent Informatics (TCII) . Looking forward to serving the community more!
  • [11/2022] Two papers get accepted by AAAI'23 (1721/8777 = 19.6%), both are online algorithms for streaming features. One enables effective learning with limited labels, the other elucidates the model's decision logics with trees. Congrats to Christian - your bulldog tenacity pays off!
  • [10/2022] Two papers get accepted by IEEE UIC'22 (170/694 = 24.5%), both investigated the robustness of deep factorization machines. One mitigates the train-test bias of sparse matrices, the other reinforces resilience to outlier entries.
  • [06/2022] A novel generative model for streaming feature online learning has been 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.