Delvin Ce Zhang

Biography

I am a Postdoctoral Researcher at Yale University. I received PhD degree in Computer Science at Singapore Management University (SMU). 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, ICDE, 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. Check teaching video recordings here.

Research Interests

Working Experience

Postdoctoral Researcher

Education

PhD in Computer Science

BEng in Computer Science (Outstanding Graduate Award)

BEcon in Financial Engineering (Outstanding Graduate Award)

Publications

Delvin Ce Zhang and Hady W. Lauw,

IEEE International Conference on Data Engineering (ICDE-24), May 2024. (code)

Delvin Ce Zhang and Hady W. Lauw,

IEEE Transactions on Knowledge and Data Engineering (TKDE-24), vol. 36, no. 3, pp. 1328-1340, Mar 2024. (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)

Tutorial Delivery

Delvin Ce Zhang, Menglin Yang, Rex Ying, and Hady W. Lauw,

The 2024 ACM Web Conference (WWW-24), May 2024.

Conference Program Committee Member

Awards

Teaching

Singapore Management University, Spring 2023.

Singapore Management University, Fall 2021.

Singapore Management University, Spring 2021.

Singapore Management University, Fall 2020.

Talks

Michigan State University, Online, Oct 2023.

Yale University, New Haven, USA, Oct 2023.

Singapore ACM SIGKDD Symposium 2023, Singapore, Jul 2023.

NeurIPS-22, New Orleans, USA, Dec 2022.

KDD-22, Washington D. C., USA, Aug 2022.

ICML-22, Baltimore, USA, Jul 2022.

CIKM-21, Online, Nov 2021.

ECML/PKDD-21, Online, Sep 2021.

ECML/PKDD-21, Online, Sep 2021.

AAAI-20, New York, USA, Feb 2020.

Singapore Management University, Singapore, Mar 2019. (video on YouTube, 4k+ views)