Delvin Ce Zhang
Postdoctoral Researcher in Computer Science
School of Engineering and Applied Science
Email: delvin.ce.zhang@gmail.com
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Biography
I am a Postdoctoral Researcher at Yale University, working with Prof. Rex Ying. I received PhD degree in Computer Science at Singapore Management University (SMU), working with Prof. Hady W. Lauw. My research interests generally lie in Machine Learning and Data Mining. In particular, I have been focusing on Graph Representation Learning, Graph Neural Networks, Large and Pre-trained Language Models, Text Mining, and Recommender Systems. My first-authored papers are published on top venues, including NeurIPS, ICML, KDD, AAAI, CIKM, TKDE, etc.
I am awarded Singapore Data Science Consortium PhD Dissertation Research Fellowship 2021 in recognition of outstanding PhD students across all Singapore universities (only 6 annual quotas in 2021). I served as an Instructor and independently taught an undergraduate compulsory course, IS1702 Computational Thinking, for AY2022/23 Term 2 at Singapore Management University. Course materials include data structures, complexity analysis, and algorithm design.
Research Interests
Graph Machine Learning: Graph Neural Networks; Homogeneous, Heterogeneous, and Knowledge Graph Representation Learning; Recommender Systems.
Text Mining: Large and Pre-trained Language Models; Text Classification; Text Representation Learning; Neural Topic Modeling.
Working Experience
Yale University, USA, Sep 2023 - Present
Postdoctoral Researcher
Education
Singapore Management University (SMU), Singapore, Aug 2018 - Jul 2023
PhD in Computer Science
Sichuan University (SCU), P. R. China, Sep 2014 - Jun 2018
BEng in Computer Science (Outstanding Graduate Award)
BEcon in Financial Engineering (Outstanding Graduate Award)
Publications
Delvin Ce Zhang and Hady W. Lauw,
IEEE Transactions on Knowledge and Data Engineering (TKDE-23), 2023. (code)
Delvin Ce Zhang, Rex Ying, and Hady W. Lauw,
29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-23), Aug 2023. (code)
Best Oral Talk Award Runner-Up, Singapore ACM SIGKDD Symposium 2023, Jul 2023. (certificate)
Delvin Ce Zhang and Hady W. Lauw,
36th Conference on Neural Information Processing Systems (NeurIPS-22), Dec 2022.
Delvin Ce Zhang and Hady W. Lauw,
28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-22), Aug 2022. (code)
Delvin Ce Zhang and Hady W. Lauw,
39th International Conference on Machine Learning (ICML-22), Jul 2022.
Delvin Ce Zhang and Hady W. Lauw,
30th ACM International Conference on Information and Knowledge Management (CIKM-21), Nov 2021. (code)
Delvin Ce Zhang and Hady W. Lauw,
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-21), Sep 2021.
Delvin Ce Zhang and Hady W. Lauw,
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-21), Sep 2021. (code)
Ce Zhang and Hady W. Lauw,
34th AAAI Conference on Artificial Intelligence (AAAI-20), Feb 2020. (code)
Conference Program Committee Member
2024: ICLR, SDM
2023: NeurIPS, ICML, KDD, WWW, IJCAI, LOG
2022: NeurIPS, ICML, KDD, WWW, ACL, LOG
Awards
Best Oral Talk Award Runner-Up, Singapore ACM SIGKDD Symposium 2023, 2023.
Dean's List (top 10%), School of Computing and Information Systems, Singapore Management University, 2022.
Presidential Doctoral Fellowship 2022 (top 15%), Singapore Management University, 2022.
Singapore Data Science Consortium (SDSC) PhD Dissertation Research Fellowship 2021 (only 6 annual quotas across all Singapore universities), Singapore Data Science Consortium, 2021.
Presidential Doctoral Fellowship 2020 (top 15%), Singapore Management University, 2020.
Outstanding Graduate Award, Sichuan University, 2018.
Computer Science Star (1/380+), Sichuan University, 2018.
First-Class Scholarship (top 2%), Sichuan University, 2014-2018.
Outstanding Student Award, Outstanding Volunteer Award, Outstanding Student Union Member Award, Sichuan University, 2014-2018.
Teaching
Instructor, IS1702 Computational Thinking, Singapore Management University, Spring 2023.
Independently teaching an undergraduate compulsory course throughout the whole term. Course materials include data structures, complexity, algorithm design, etc.
Teaching Assistant, IS1702 Computational Thinking, Singapore Management University, Fall 2021.
Teaching Assistant, IS786 Advanced Research Topics - Research Topics in Information Systems, Singapore Management University, Spring 2021.
Teaching Assistant, IS712 Machine Learning, Singapore Management University, Fall 2020.
Talks
Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic Tree, Singapore ACM SIGKDD Symposium 2023, Singapore, 2023.
Meta-Complementing the Semantics of Short Texts in Neural Topic Models, NeurIPS-22, New Orleans, USA, 2022.
Variational Graph Author Topic Modeling, KDD-22, Washington D. C., USA, 2022.
Dynamic Topic Models for Temporal Document Networks, ICML-22, Baltimore, USA, 2022.
Topic Modeling for Multi-Aspect Listwise Comparisons, CIKM-21, Online, 2021.
Representation Learning on Multi-Layered Heterogeneous Network, ECML/PKDD-21, Online, 2021.
Semi-Supervised Semantic Visualization for Networked Documents, ECML/PKDD-21, Online, 2021.
MindReader: A News Recommendation Engine, Preferred.AI TechFest, Singapore Management University, Singapore, 2020.
Topic Modeling on Document Networks with Adjacent-Encoder, AAAI-20, New York, USA, 2020.
Graph Representation Learning, Preferred.AI TechFest, Hanoi University of Science and Technology, Hanoi, Vietnam, 2019.
Graph Attention Networks, Preferred.AI Reading Group, Singapore Management University, Singapore, 2019. (video on YouTube, 4k+ views)