Faculty

Xiaobao Wu
Assistant Professor

Email:xiaobaowu@sjtu.edu.cn

Address:SEIEE Building 3-524

Institute:Institute of Machine Intelligence

MainPage:https://bobxwu.github.io/

Brief Introduction

Hi, I'm now an Assistant Professor at School of Computer Science, Shanghai Jiao Tong University. I received my Ph.D. degree from Nanyang Technological University, Master's degree from Tsinghua University, and Bachelor's degree from Southeast University. I was a visiting scholar at University of California, Santa Barbara. My research interests lie mostly in the area of natural language processing, artificial intelligence, and large language models.

Education

2021 - 2024, Nanyang Technological University, PhD

2018 - 2021, Tsinghua University, Master

2014 - 2018, Southeast University, Bachelor


Professional Experience

2026 - Now, Shanghai Jiao Tong University, Tenure-Track Assistant Professor

2025 - 2026, Nanyang Technological University, Research Fellow


Publications

1. AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. Xiaobao Wu, Liangming Pan, Yuxi Xie, Ruiwen Zhou, Shuai Zhao, Yubo Ma, Mingzhe Du, Rui Mao, Anh Tuan Luu, and William Yang Wang. Annual Meeting of the Association for Computational Linguistics (ACL), 2025. Senior Area Chair Highlights Award

2. 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. Neural Information Processing Systems (NeurIPS), 2024

3. AKEW: Assessing Knowledge Editing in the Wild. Xiaobao Wu, Liangming Pan, William Yang Wang, and Anh Tuan Luu. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024

4. Are LLMs Good Zero-shot Fallacy Classifiers? Fengjun Pan, Xiaobao Wu, Zongrui Li, and Anh Tuan Luu. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024

5. A Survey on Neural Topic Models: Methods, Applications, and Challenges. Xiaobao Wu, Thong Nguyen, and Anh Tuan Luu. Artificial Intelligence Review (AIR), 2024

6. Towards the TopMost: A Topic Modeling System Toolkit. Xiaobao Wu, Fengjun Pan, and Anh Tuan Luu.Annual Meeting of the Association for Computational Linguistics: System Demonstration Track (ACL Demo), 2024

7. Effective Neural Topic Modeling with Embedding Clustering Regularization. Xiaobao Wu, Xinshuai Dong, Thong Nguyen, and Anh Tuan Luu. International Conference on Machine Learning (ICML), 2023

8. Fact-Checking Complex Claims with Program-Guided Reasoning. Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, and Preslav Nakov. Annual Meeting of the Association for Computational Linguistics (ACL), 2023

9. Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning. Xiaobao Wu, Anh Tuan Luu, and Xinshuai Dong.    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022

10. Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder.Xiaobao Wu, Chunping Li, Yan Zhu, and Yishu Miao. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020


Awards

ACL 2025 Senior Area Chair Highlights Award

Academic Service

Area Chair for ACL

Area Chair for EMNLP

Action Editor for ACL ARR