Hongjie Chen

I am currently a Ph.D. candidate in the Department at Computer Science at Virginia Tech, under the supervision of Dr. Hoda Eldardiry. My research primarily focuses on the fields of deep graph learning and deep time-series learning, extending into the broader areas of recommendation systems and data analytics. Both graphs and time-series are ubiquitous data representations, and my research strives to unify them for various tasks, including link prediction and time-series forecasting, among others. I am honored to have had the opportunity to collaborate with researchers from Adobe Research and Yahoo Research in related areas.

Contacts

Department of Computer Science, Virginia Tech, Blacksburg, Virginia, USA
Phone: +1(540)818-1850; Email: jeffchan(@)vt.edu

Journal Papers

  • Graph Time-series Modeling in Deep Learning: A Survey [ACM] 🎉 New Paper Accepted! Check it out and happy reading! 📚
    H. Chen, H. Eldardiry
    2024 ACM Transactions on Knowledge Discovery from Data (TKDD)

  • Graph Deep Factors for Probabilistic Time-series Forecasting [ACM]
    H. Chen, R. A. Rossi, K. Mahadik, S. Kim, H. Eldardiry
    2023 ACM Transactions on Knowledge Discovery from Data (TKDD)

Conference Papers

  • Evolving Super Graph Neural Networks for Large-scale Time-Series Forecasting (To Appear)
    H. Chen, R. A. Rossi, K. Mahadik, S. Kim, H. Eldardiry
    2024 ACM The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

  • Hypergraph Neural Networks for Time-series Forecasting [IEEE]
    H. Chen, R. A. Rossi, K. Mahadik, S. Kim, H. Eldardiry
    2023 IEEE International Conference on Big Data (IEEE BigData)

  • Context Integrated Relational Spatio-Temporal Resource Forecasting [IEEE]
    H. Chen, R. A. Rossi, K. Mahadik, H. Eldardiry
    2021 IEEE International Conference on Big Data (IEEE BigData)

  • Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation [ACM]
    H. Chen, R. A. Rossi, K. Mahadik, S. Kim, H. Eldardiry
    2021 Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD)

  • LncRNA-disease association prediction based on neighborhood information aggregation in neural network [IEEE]
    H. Chen, X. Wang, X. Zhang, X. Zeng, T. Song, A. Rodríguez-Patón
    2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Patents & Copyrights

  • US patent - Deep Hybrid Graph-Based Forecasting Systems

  • China software copyright - Continuous Weighing of Living Aquatic Creatures

Research

  • 2023 - Yahoo! Research Intern, Research on the topic of large-scale graphs and graph classification under the supervision of Dr. Meizhu Liu

  • 2020 - Adobe Research Intern, Research on the topic of graphs and time-series under the supervision of Dr. Kanak Mahadik and Dr. Ryan Rossi

Services

  • 2024 - Reviewer, Serve to review papers for KDD

  • 2023 - Reviewer, Serve to review papers for CIKM

  • 2023 - Mentor, Mentor a graduate student

  • 2023 - Panelist, Serve as a panelist for TechGirls camp

  • 2023 - Presenter, Present a poster in ML Day: Amazon - VT Initiative for Efficient and Robust Machine Learning

  • 2022 - Mentor, Mentor three undergraduate students

Teaching

  • 2024 - Teaching Assistant, Assist for an undergraduate senior class CS4824 Introduction to Machine Learning

  • 2023 - Guest speaker, Give a talk for an undergraduate-level class CS3604 Professionalism in Computing

  • 2023 - Guest lecturer, Give two lectures for a graduate-level class CS5806 Machine Learning II

  • 2023 - Teaching Assistant, Assist for a graduate-level class CS5704 Software Engineering

  • 2022 - Instructor, Instruct an undergraduate senior class CS4824 Introduction to Machine Learning

  • 2022 - Guest lecturer, Give a lecture for a graduate-level class CS6804 Multisource Machine Learning

  • 2022 - Teaching Assistant, Assist for an undergraduate senior class CS4824 Introduction to Machine Learning

  • 2021 - Teaching Assistant, Assist for an undergraduate senior class CS4604 Introduction to Data Base Management Systems

  • 2021 - Teaching Assistant, Assist for an undergraduate senior class CS4104 Data and Algorithm Analysis

  • 2020 - Guest lecturer, Give a lecture for an undergraduate senior class CS4984 Machine Learning Capstone

  • 2020 - Teaching Assistant, Assist for an undergraduate senior class CS4824 Introduction to Machine Learning

  • 2020 - Teaching Assistant, Assist for an undergraduate senior class CS4804 Introduction to Artificial Intelligence