Fengbin Zhu · National University of Singapore

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Academic lineage

Traced back 2 generations →

Advisors

Tat Seng Chua
PhD advisor · until 2024 · National University of Singapore
From a thesis record ↗

Works55 from public data

TitleCited by

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
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · 2021
652
Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering
arXiv · 2021
150
Towards Complex Document Understanding By Discrete Reasoning
Fengbin Zhu, Wenqiang Lei, Fu-Li Feng, Chao Wang, Haozhou Zhang, Tat-seng Chua
ACM International Conference on Multimedia (ACM MM) · 2022
121
Large Language Models Empowered Personalized Web Agents
Hongru Cai, Yongqi Li, Wenjie Wang, Fengbin Zhu, Xiaoyu Shen, Wenjie Li, Tat-Seng Chua
Proceedings of the ACM on Web Conference 2025 · 2025
90
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
Findings of the Association for Computational Linguistics: EMNLP 2024 · 2024
55
Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning
Mo-Xin Li, Fu-Li Feng, Hanwang Zhang, Xiang-Nan He, Fengbin Zhu, Tat-seng Chua
Annual Meeting of the Association for Computational Linguistics (ACL) · 2022
41
VideoQA in the Era of LLMs: An Empirical Study
Junbin Xiao, Nanxin Huang, Hangyu Qin, Dongyang Li, Yi-Cong Li, Fengbin Zhu, Zhulin Tao, Jianxing Yu, +3 more
International Journal of Computer Vision · 2025
39
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Financial Tabular and Textual Data
Fengbin Zhu, Ziyang Liu, Fu-Li Feng, Chao Wang, Mo-Xin Li, Seng-Chua Tat
ACM International Conference on AI in Finance (ICAIF) · 2024
35
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data
Fengbin Zhu, Zi-Yang Liu, Fu-Li Feng, Chao Wang, Mo-Xin Li, Tat-seng Chua
arXiv · 2024
25
MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding
Fengbin Zhu, Zi-Yang Liu, Xiang-Yao Ng, Hao Wu, Wenjie Wang, Fu-Li Feng, Chao Wang, Huan-Bo Luan, +1 more
arXiv · 2024
24
Reason4Rec: Deliberative User Preference Alignment of Large Language Models for Recommendation
Yi Fang, Wen-Jie Wang, Yang Zhang, Fengbin Zhu, Qi-Fan Wang, Fu-Li Feng, Xiang-Nan He
IEEE Transactions on Knowledge and Data Engineering · 2026
19
TROJail: Trajectory-Level Optimization for Multi-Turn Large Language Model Jailbreaks with Process Rewards
Xi-Qiao Xiong, Ouxiang Li, Zhuo Liu, Mo-Xin Li, Wen-Tao Shi, Fengbin Zhu, Qi-Fan Wang, Fu-Li Feng
Annual Meeting of the Association for Computational Linguistics (ACL) · 2026
15
DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition
Yi-Yan Xu, Wuqiang Zheng, Wen-Jie Wang, Fengbin Zhu, Xinting Hu, Yang Zhang, Fu-Li Feng, Tat-Seng Chua
ACM International Conference on Multimedia (ACM MM) · 2025
15
Fast vehicle detection based on evolving convolutional neural network
Feng-Bin Zhu, Youfei Lu, N. Ying, G. Giakos
IEEE International Conference on Imaging Systems and Techniques (IST) · 2017
15
SoarGraph: Numerical Reasoning over Financial Table-Text Data via Semantic-Oriented Hierarchical Graphs
Fengbin Zhu, Mo-Xin Li, Junbin Xiao, Fu-Li Feng, Chao Wang, Seng-Chua Tat
ACM Web Conference (WWW) · 2023
14
BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning
Pengyang Shao, Nai-Xin Zhai, Lei Chen, Yonghui Yang, Fengbin Zhu, Xun Yang, Meng Wang
ACM Web Conference (WWW) · 2026
13
Long Context vs. RAG: Strategies for Processing Long Documents in LLMs
Xinze Li, Yushi Bai, Bowen Jin, Fengbin Zhu, Liangming Pan, Yi-Xin Cao
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 2025
10
Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
Chengbing Wang, Yang Zhang, Fengbin Zhu, Jizhi Zhang, Tianhao Shi, Fuli Feng
Companion Proceedings of the ACM on Web Conference 2025 · 2025
10
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG
Proceedings of the AAAI Conference on Artificial Intelligence · 2025
9
Effective and Efficient Adversarial Detection for Vision-Language Models via A Single Vector
You-Cheng Huang, Fengbin Zhu, Jingkun Tang, Pan Zhou, Wenqiang Lei, Jian-Cheng Lv, T. Chua
arXiv · 2024
9
FinDeepForecast: A Live Multi-Agent System for Benchmarking Deep Research Agents in Financial Forecasting
Xiang-Yu Li, Xuan Yao, Guohao Qi, Fengbin Zhu, Kelvin J. L. Koa, Xiang-Yao Ng, Ziyang Liu, Xingyu Ni, +11 more
arXiv · 2026
8
Reinforced Strategy Optimization for Conversational Recommender Systems via Network-of-Experts
Xiao-Yan Zhao, Ming Yan, Yang Zhang, Yang Deng, Jian Wang, Fengbin Zhu, Yilun Qiu, Hong Cheng, +1 more
arXiv · 2025
8
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, Fu-Li Feng, Chao Wang, Huan-Bo Luan, +1 more
Lecture notes in computer science · 2026
7
Heterogeneous User Modeling for LLM-based Recommendation
Honghui Bao, Wenjie Wang, Xinyu Lin, Fengbin Zhu, Teng Sun, Fuli Feng, Tat-Seng Chua
Proceedings of the Nineteenth ACM Conference on Recommender Systems · 2025
7
SafeNeuron: Neuron-Level Safety Alignment for Large Language Models
Zhaoxin Wang, Jiaming Liang, Fengbin Zhu, Weixiang Zhao, Jun-Feng Fang, Jiayi Ji, Handing Wang, Tat-Seng Chua
arXiv · 2026
6
Herculean: An Agentic Benchmark for Financial Intelligence
Xue-Qing Peng, Zhuo-Han Xie, Yupeng Cao, Hao-Hang Li, Ling-Fei Qian, Yan Wang, V. Zhang, Huan He, +22 more
arXiv · 2026
6
Unified Category and Style Generalization for Instance-Level Sketch Retrieval
Ze-Chao Hu, Zhengwei Yang, Hao Li, Yi-Xiong Zou, Fengbin Zhu, Zheng Wang
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 2025
6
Towards Temporal-Aware Multi-Modal Retrieval Augemented Generation in Finance
Fengbin Zhu, Junfeng Li, Liangming Pan, Wenjie Wang, Fu-Li Feng, Chao Wang, Huan-Bo Luan, Tat-Seng Chua
ACM International Conference on Multimedia (ACM MM) · 2025
6
One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment
Hong-Ru Cai, Yong-Qi Li, Tiezheng Yu, Fengbin Zhu, Wen-Jie Wang, Fu-Li Feng, Wen-Jie Li
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 2026
5
Unified Data Selection for LLM Reasoning
Xiaoyuan Li, Yubo Ma, Cheng-Peng Li, Feng Zhu, Yi-Yao Yu, Ke-Qin Bao, Wen-Jie Wang, Fu-Li Feng, +1 more
arXiv · 2026
5
DiffuRank: Effective Document Reranking with Diffusion Language Models
Qi Liu, Kun Ai, Jiaxin Mao, Yanzhao Zhang, Mingxin Li, Dingkun Long, Peng-Jun Xie, Fengbin Zhu, +1 more
arXiv · 2026
4
Optimizing Knowledge Integration in Retrieval-Augmented Generation with Self-Selection
Y. Weng, Fengbin Zhu, Tong Ye, Hao-Yan Liu, Fu-Li Feng, Tat-Seng Chua
arXiv · 2025
4
Latent Inter-User Difference Modeling for LLM Personalization
Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2025
4
Controllable Value Alignment in Large Language Models through Neuron-Level Editing
Yonghui Yang, Junwei Li, Jilong Liu, Yi-Cheng He, Fengbin Zhu, Weibiao Huang, Le Wu, Richang Hong, +1 more
arXiv · 2026
3
Plant, Persist, Trigger: Sleeper Attack on Large Language Model Agents
Yong-Xiang Li, Mo-Xin Li, Zhi-Xin Ma, Fengbin Zhu, Dong-Rui Liu, Wen-Jie Wang, Fu-Li Feng
arXiv · 2026
2
RDU: A Region-based Approach to Form-style Document Understanding
Fengbin Zhu, Chao Wang, Wenqiang Lei, Ziyang Liu, Tat-Seng Chua
arXiv · 2022
2
MiniRec: Data-Efficient Reinforcement Learning for LLM-based Recommendation
Lin Wang, Yang Zhang, Jingfan Chen, Xiao-Yan Zhao, Fengbin Zhu, Qing Li, Tat-Seng Chua
arXiv · 2026
1
MURE: Hierarchical Multi-Resolution Encoding via Vision-Language Models for Visual Document Retrieval
Fengbin Zhu, Zi-Jing Cai, Yu-Zhe Wang, Pengyang Shao, Wen-Jie Wang, Fu-Li Feng, Richang Hong, Tat-Seng Chua
International Conference on Multimedia Retrieval · 2026
1
NextAds: Towards Next-generation Personalized Video Advertising
Yi-Yan Xu, Ruoxuan Xia, Wuqiang Zheng, Fengbin Zhu, Wen-Jie Wang, Fu-Li Feng
arXiv · 2026
1
FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI
Fengbin Zhu, Yunshan Ma, Fu-Li Feng, Chao Wang, Huan-Bo Luan, Guang-Nan Ye, Shuo Zhang, Dhagash Mehta, +3 more
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 2025
1
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs
Language Resources and Evaluation Conference (LREC) · 2024
1
PERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models
Underline Science Inc. · 2026
–
ResComEmb: Effective and Efficient Multimodal Embedding via Residual Homogeneity Compression
arXiv · 2026
–
Diagnosing Search Behavior and Failure Modes in Long-Horizon Search Agents
arXiv · 2026
–
Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents
arXiv · 2026
–
Trading Strategy Optimization via Textual Gradient
arXiv · 2026
–
Suppressing Forgery-Specific Shortcuts for Generalizable Deepfake Detection
Yihui Wang, Yonghui Yang, Jilong Liu, Fengbin Zhu, Le Wu, Tat-Seng Chua
arXiv · 2026
–
GenRubric: Self-Evolving Rubric Generation for Scalable LLM Evaluation
arXiv · 2026
–
Opening the Black Box: A Survey on the Mechanisms of Multi-Step Reasoning in Large Language Models
arXiv · 2026
–
FinDeepIndicator: Benchmarking Deep Research Agents in End-to-End Financial Indicator Construction
arXiv · 2026
–
Technical Report for Financial Deep Document (FinDDR) Competition @ ACM ICAIF 2025
Preprints.org · 2026
–
FinNextAssist: Towards Professional Financial Deep Research Assistant
arXiv · 2026
–
Composite Model Design for Detecting AI-Generated Audio-Text Based on Feature Fusion
Xiaodong Zhou, Kunpeng Zhang, Fengbin Zhu, Qingyue Cao, Dong Liu, Juncheng Hou
IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS) · 2025
–
Towards Temporal-Aware Multi-Modal Retrieval Augmented Generation in Finance
RePEc: Research Papers in Economics · 2025
–
IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation
neural information processing systems · 2025
–

Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-10. Citation counts may be lower than on Google Scholar, which indexes more sources.

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