I am a Postdoc Research Fellow at NExT Research Center National University of Singapore (NUS), working with Prof. Tat-Seng Chua. I earned my PhD from NUS in June 2024, also supervised by Prof. Chua. My research interests include Natural Language Processing (NLP), Information Retrieval (IR), Document Intelligence (DI), and the application of AI in finance.

PS: I am actively looking for highly motivated PhD/master/undergraduate students to collaborate on various interesting research topics, including retrieval-augmented generation, multi-modal LLM for document intelligence, financial LLM, and LLM-based agents, etc. If you have interest, please feel free to send your CV to zhfengbin@gmail.com.

Publications Google Scholar

   #Equal Contribution    *Corresponding Author

pdf	Large Language Models Empowered Personalized Web Agents Hongru Cai, Yongqi Li, Wenjie Wang, Fengbin Zhu, Xiaoyu Shen, Wenjie Li, and Tat-Seng Chua WWW 2025 (Oral)

pdf	Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation Chengbing Wang, *Yang Zhang, *Fengbin Zhu, Jizhi Zhang, Tianhao Shi, Fuli Feng WWW 2025 (Short)

pdf	CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG Boyi Deng, *Wenjie Wang, *Fengbin Zhu, Qifan Wang, and Fuli Feng AAAI 2025 (Oral)

pdf	Optimizing Knowledge Integration in Retrieval-Augmented Generation with Self-Selection Yan Weng, *Fengbin Zhu, Tong Ye, Haoyan Liu, *Fuli Feng, Tat-Seng Chua Arxiv 2025

pdf	Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment Yi Fang, Wenjie Wang, Yang Zhang, Fengbin Zhu, Qifan Wang, Fuli Feng, Xiangnan He Arxiv 2025

pdf	MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding Fengbin Zhu, Ziyang Liu, Xiang Yao NG, Haohui Wu, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, and Tat-Seng Chua Arxiv 2024

pdf	Effective and Efficient Adversarial Detection for Vision-Language Models via A Single Vector #Youcheng Huang, #Fengbin Zhu, Jingkun Tang, Pan Zhou, Wenqiang Lei, Jiancheng Lv and Tat-Seng Chua Arxiv 2024

pdf	TAT-LLM: A Specialized Language Model for Discrete Reasoning over Financial Tabular and Textual Data Fengbin Zhu, Ziyang Liu, Fuli Feng, Chao Wang, Moxin Li and Tat-Seng Chua ICAIF 2024 (Oral)

pdf	VideoQA in the Era of LLMs: An Empirical Study Junbin Xiao, Nanxin Huang, Hangyu Qin, Dongyang Li, Yicong Li, Fengbin Zhu, Zhulin Tao, Jianxing Yu, Liang Lin, Tat-Seng Chua, Angela Yao IJCV

pdf	Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua EMNLP 2024 (Findings)

pdf	Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs Fengbin Zhu, Chao Wang, Fuli Feng, Zifeng Ren, Moxin Li, Tat-Seng Chua LREC-COLING 2024 (Poster)

pdf	SoarGraph: Numerical Reasoning over Financial Table-Text Data via Semantic-Oriented Hierarchical Graphs Fengbin Zhu, Moxin Li, Junbin Xiao, Fuli Feng, Chao Wang, Tat Seng Chua WWW 2023 (Workshop)

pdf	Towards Complex Document Understanding By Discrete Reasoning Fengbin Zhu, Wenqiang Lei, Fuli Feng, Chao Wang, Haozhou Zhang, Tat-Seng Chua ACM MM 2022 (Poster)

pdf	RDU: A Region-based Approach to Form-style Document Understanding Fengbin Zhu, Chao Wang, Wenqiang Lei, Ziyang Liu, Tat Seng Chua Arxiv 2022

pdf	Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning Moxin Li, Fuli Feng, Hanwang Zhang, Xiangnan He, Fengbin Zhu, Tat-Seng Chua ACL 2022 (Poster)

pdf	TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua ACL 2021 (Oral)

pdf	Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering Fengbin Zhu, Wenqiang Lei, Chao Wang, Jianming Zheng, Soujanya Poria, Tat-Seng Chua Arxiv 2021

Professional Services

Local Chair of ACM International Conference on AI in Finance (ICAIF 2025) Co-Organizer of ACM SIGIR (2025) Financial Information Retrieval (FinIR) Workshop Session Chair of ACM International Conference on AI in Finance (ICAIF 2024) Program Committee Member of ACM SIGIR (2025) Program Committee Member of ICCV (2025) Program Committee Member of ACL ARR (2024, 2025) Program Committee Member of COLING (2025) Program Committee Member of ACM MM (2022, 2023, 2024) Program Committee Member of AAAI (2023, 2024) Invited Reviewer for IEEE TKDE, TMM, TIP, TBD, TCSVT Invited Reviewer for ACM TOIS, TOMM

Education

National University of Singapore (NUS) Ph.D. in Computer Science                   Aug 2019 - Jun 2024, Singapore Advisor: Prof. Tat-Seng Chua Mentors: Prof. Fuli Feng, Prof. Wenqiang Lei and Dr. Chao Wang

Experiences

Postdoc Research Fellow, National University of Singapore, Jul 2024 - Present Advisior: Prof. Tat-Seng Chua (NExT++: NUS-Tsinghua-Southampton Extreme Search Center)

Technology Director, 6Estates Pte Ltd, Mar 2015 - Jun 2024

Research Assistant, National University of Singapore, Mar 2012 - Mar 2015 Advisior: Prof. Tat-Seng Chua (NExT: NUS-Tsinghua Extreme Search Center)

Selected Awards

Research Achievement Award,    2022    - School of Computing, National University of Singapore

Winner of 1st Competition on Chinese Machine Reading Comprehension (CMRC),   2017    - 16th China National Conference on Computational Linguistics (CCL)