Biography

I am a PhD Candidate in Computer Science at School of Computing and Information Systems, Singapore Management University (SMU), under the supervision of Prof. Hady W. Lauw. My research interests generally lie in machine learning and data mining, with a specific focus on graph representation learning, graph neural networks, and neural text mining. 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 received SMU Presidential Doctoral Fellowship (top 15%) in recognition of outstanding PhD students at SMU. I received Bachelor's degree at Sichuan University (SCU), P. R. China, with Outstanding Graduate Award.

Research Interests

  • Graph representation learning: Homogeneous, heterogeneous, and knowledge graph embedding; graph neural networks.

  • Neural text mining: Text embedding; text classification; information extraction; neural topic modeling.

Education

  • Singapore Management University (SMU), Singapore, Aug 2018 - Present

PhD Candidate in Computer Science

  • Sichuan University (SCU), P. R. China, Sep 2014 - Jun 2018

BEng in Computer Science (major, Outstanding Graduate Award)

BEcon in Financial Engineering (minor, Outstanding Graduate Award)

Publications

  1. 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), 2022.

  1. Variational Graph Author Topic Modeling,

Delvin Ce Zhang and Hady W. Lauw,

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

  1. Dynamic Topic Models for Temporal Document Networks,

Delvin Ce Zhang and Hady W. Lauw,

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

  1. 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), 2021. (code)

  1. 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), 2021.

  1. 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), 2021. (code)

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

Ce Zhang and Hady W. Lauw,

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

Conference Program Committee Member

  • 2023: ICML, KDD, IJCAI, WWW (subreviewer)

  • 2022: NeurIPS, ICML, KDD, ACL Rolling Review, LOG, WWW (subreviewer).

Awards

  • 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, 2022.

  • Presidential Doctoral Fellowship 2020 (top 15%), Singapore Management University, 2020.

  • PhD Full Scholarship, Ministry of Education, Singapore, 2018.

  • Outstanding Graduate Award, Sichuan University, 2018.

  • First-Class Scholarship (Top 2%), Sichuan University, 2014-2018.

  • Outstanding Student Award, Outstanding Volunteer Award, Outstanding Student Union Cadre Award, Sichuan University, 2014-2018.

Teaching

  • Instructor, IS1702 Computational Thinking, Singapore Management University, Spring 2023.

    • Independently teaching a compulsory undergraduate course throughout the whole term. Course materials include data structures, complexity, algorithm design, etc.

    • Check teaching video recording 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.

Talks

  • 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)