I am a Postdoc Research Fellow at NExT Research Center National University of Singapore (NUS), working with Prof. Tat-Seng Chua. My research interests include Multimodal/Heterogeneous Retrieval, Understanding and Reasoning, LLM Evaluation, Agents and AI for Finance.

Collaboration Opportunities:

I am currently seeking highly motivated PhD, Master, and Undergraduate students who are interested in research collaboration on topics such as multimodal understanding and reasoning, LLM-based agents, information retrieval, and AI for finance.

If you are passionate about these areas and would like to join our team or collaborate, please feel free to reach out with your CV at [email protected].

🚀 Highlights

• OpenFinArena Platform: We have released the OpenFinArena Platform — A Premier Platform for Evaluating Professional Financial AI Assistants!
• New Survey Paper: Opening the Black Box: A Survey on the Mechanisms of Multi-Step Reasoning in LLMs — A comprehensive survey of implicit and explicit reasoning paradigms in large language models.

Publications Google Scholar

   #Equal Contribution    *Corresponding Author

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FinDeepForecast: A Live Multi-Agent System for Benchmarking Deep Research Agents in Financial Forecasting #Xiangyu Li, #Xuan Yao, #Guohao Qi, #*Fengbin Zhu, Kelvin J.L. Koa, Xiang Yao Ng, Ziyang Liu, Xingyu Ni, Chang Liu, Yonghui Yang, Yang Zhang, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Xiaofen Xing, Xiangmin Xu, Tat-Seng Chua, Ke-Wei Huang Arxiv 2026

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FinDeepResearch: Evaluating Deep Research Agents in Rigorous Financial Analysis *Fengbin Zhu, Xiang Yao Ng, Ziyang Liu, Chang Liu, Xianwei Zeng, Chao Wang, Tianhui Tan, Xuan Yao, Pengyang Shao, Min Xu, Zixuan Wang, Jing Wang, Xin Lin, Junfeng Li, Jingxian Zhu, Yang Zhang, Wenjie Wang, Fuli Feng, Richang Hong, Huanbo Luan, Ke-Wei Huang, Tat-Seng Chua Arxiv 2025

pdf	Understanding Embedding Scaling in Collaborative Filtering Yicheng He, Zhou Kaiyu, Haoyue Bai, Fengbin Zhu, Yonghui Yang TMLR (2025)

pdf	IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation Zijie Lin, *Yang Zhang, Xiaoyan Zhao, *Fengbin Zhu, Fuli Feng, Tat-Seng Chua NeurIPs 2025

pdf	Latent Inter-User Difference Modeling for LLM Personalization Yilun Qiu, Tianhao Shi, Xiaoyan Zhao, Fengbin Zhu, Yang Zhang, Fuli Feng EMNLP 2025 (Oral)

pdf	DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition Yiyan Xu, Wuqiang Zheng, Wenjie Wang, Fengbin Zhu, Xinting Hu, Yang Zhang, Fuli Feng, and Tat-Seng Chua MM 2025 (Oral)

pdf	Towards Temporal-Aware Multi-Modal Retrieval Augmented Generation in Finance #Fengbin Zhu, #Junfeng Li, Liangming Pan, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, and Tat-Seng Chua MM 2025 (Oral)

pdf	Heterogeneous User Modeling for LLM-based Recommendation Honghui Bao, Wenjie Wang, *Xinyu Lin,*Fengbin Zhu, Teng Sun, Fuli Feng and Tat-Seng Chua RecSys 2025 (Oral)

pdf	Unified Category and Style Generalization for Instance-Level Sketch Retrieval Zechao Hu, Zhengwei Yang, Hao Li, Yixiong Zou, Fengbin Zhu, and Zheng Wang SIGIR 2025 (Oral)

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 and Grounding Fengbin Zhu, Ziyang Liu, Xiang Yao NG, Haohui Wu, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, and Tat-Seng Chua MMM 2026

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	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 (Companion)

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

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)

Professional Services

Member of the Executive Committee of ACM International Conference on AI in Finance (ICAIF) Member of the Executive Committee of CCF Digital Finance Local Co-chair of ACM ICAIF (2025) Area Chair of ACL (2025, 2026) Area Chair of ACM ICMR (2026) PC Member of ACM WWW (2026) PC Member of ACM WSDM (2026) PC Member of ACM SIGIR (2025) PC Member of ICCV (2025) PC Member of ACL ARR (2024, 2025, 2026) PC Member of COLING (2025) PC Member of ACM MM (2022, 2023, 2024, 2025) PC Member of AAAI (2023, 2024, 2025, 2026) Invited Reviewer for IEEE TKDE, TMM, TIP, TBD, TCSVT Invited Reviewer for ACM CSUR, 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 - Advisior: Prof. Tat-Seng Chua (NExT++: NUS-Tsinghua-Southampton Extreme Search Center)

Technology Director, 6Estates Pte Ltd, Mar 2015 -

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)