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

1. Topic Modeling on Document Networks with Dirichlet Optimal Transport Barycenter (Extended Abstract),

Delvin Ce Zhang and Hady W. Lauw,

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

2. Topic Modeling on Document Networks with Dirichlet Optimal Transport Barycenter,

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)

3. Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic Tree,

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)

4. Meta-Complementing the Semantics of Short Texts in Neural Topic Models,

Delvin Ce Zhang and Hady W. Lauw,

36th Conference on Neural Information Processing Systems (NeurIPS-22), Dec 2022.

5. Variational Graph Author Topic Modeling,

Delvin Ce Zhang and Hady W. Lauw,

28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-22), Aug 2022. (code)

6. Dynamic Topic Models for Temporal Document Networks,

Delvin Ce Zhang and Hady W. Lauw,

39th International Conference on Machine Learning (ICML-22), Jul 2022.

7. Topic Modeling for Multi-Aspect Listwise Comparisons,

Delvin Ce Zhang and Hady W. Lauw,

30th ACM International Conference on Information and Knowledge Management (CIKM-21), Nov 2021. (code)

8. Representation Learning on Multi-Layered Heterogeneous Network,

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.

9. Semi-Supervised Semantic Visualization for Networked Documents,

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)

10. Topic Modeling on Document Networks with Adjacent-Encoder,

Ce Zhang and Hady W. Lauw,

34th AAAI Conference on Artificial Intelligence (AAAI-20), Feb 2020. (code)

Tutorial Delivery

1. Text-Attributed Graph Representation Learning: Methods, Applications, and Challenges,

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

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

Conference Program Committee Member

• 2024: ICML, ICLR, KDD, WWW, SDM, CIKM, IJCAI

• 2023: NeurIPS, ICML, KDD, WWW, IJCAI, LOG, NeurIPS GLFrontiers Workshop (Area Chair)

• 2022: NeurIPS, ICML, KDD, WWW, ACL, LOG

Journal Reviewer

• Information Processing and Management (IPM)

• Frontiers of Computer Science (FCS)

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.

  • Check teaching video recordings here.

• 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.