Publications

2025 and Earlier

• SUA: Stealthy Multimodal Large Language Model Unlearning Attack,

Xianren Zhang, Hui Liu, Delvin Ce Zhang, Xianfeng Tang, Qi He, Dongwon Lee, and Suhang Wang,

The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP-25), Nov 2025.

• Unmasking Fake Careers: Detecting Machine-Generated Career Trajectories via Multi-Layer Heterogeneous Graphs,

Michiharu Yamashita, Thanh Tran, Delvin Ce Zhang, and Dongwon Lee,

The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP-25), Nov 2025.

• Retrieval-Augmented Language Model for Knowledge-Aware Protein Encoding,

Jiasheng Zhang, Delvin Ce Zhang, Shuang Liang, Zhengpin Li, Rex Ying, and Jie Shao,

The 42nd International Conference on Machine Learning (ICML-25), Jul 2025.

• Enhancing News Recommendation with Hierarchical LLM Prompting,

Dang Hai Kieu, Delvin Ce Zhang, Minh Duc Nguyen, Min Xu, Qiang Wu, and Dung D. Le,

The ACM Web Conference 2025 (WWW-25), Emerging World Track, Apr 2025.

• CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking,

Delvin Ce Zhang and Dongwon Lee,

2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL-25), Apr 2025. (code)

• FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model,

Xiaobao Wu, Thong Nguyen, Delvin Ce Zhang, William Yang Wang, and Anh Tuan Luu,

The 38th Conference on Neural Information Processing Systems (NeurIPS-24), Dec 2024. (code)

• Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space,

Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, and Rex Ying,

The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-24), Aug 2024. (code)

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

Delvin Ce Zhang and Hady W. Lauw,

The 40th IEEE International Conference on Data Engineering (ICDE-24), May 2024. (code)

• 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)

• Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic Tree,

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

The 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)

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

Delvin Ce Zhang and Hady W. Lauw,

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

• Variational Graph Author Topic Modeling,

Delvin Ce Zhang and Hady W. Lauw,

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

• Dynamic Topic Models for Temporal Document Networks,

Delvin Ce Zhang and Hady W. Lauw,

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

Selected as Spotlight presentation on ICML-22.

• Topic Modeling for Multi-Aspect Listwise Comparisons,

Delvin Ce Zhang and Hady W. Lauw,

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

• 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.

• 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)

• Topic Modeling on Document Networks with Adjacent-Encoder,

Ce Zhang and Hady W. Lauw,

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