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ORCIDFengbin Zhu
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2020 – today
- 2025
[j1]Junbin Xiao
, Nanxin Huang, Hangyu Qin, Dongyang Li, Yicong Li, Fengbin Zhu, Zhulin Tao, Jianxing Yu, Liang Lin, Tat-Seng Chua, Angela Yao:
VideoQA in the Era of LLMs: An Empirical Study. Int. J. Comput. Vis. 133(7): 3970-3993 (2025)- [c14]Boyi Deng, Wenjie Wang, Fengbin Zhu, Qifan Wang, Fuli Feng:
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG. AAAI 2025: 23760-23768 - [c13]Honghui Bao, Wenjie Wang, Xinyu Lin, Fengbin Zhu, Teng Sun, Fuli Feng, Tat-Seng Chua:
Heterogeneous User Modeling for LLM-based Recommendation. RecSys 2025: 145-154 - [c12]Zechao Hu, Zhengwei Yang, Hao Li, Yixiong Zou, Fengbin Zhu, Zheng Wang:
Unified Category and Style Generalization for Instance-Level Sketch Retrieval. SIGIR 2025: 864-873 - [c11]Xinze Li, Yushi Bai, Bowen Jin, Fengbin Zhu, Liangming Pan, Yixin Cao:
Long Context vs. RAG: Strategies for Processing Long Documents in LLMs. SIGIR 2025: 4110-4113 - [c10]Fengbin Zhu, Yunshan Ma, Fuli Feng, Chao Wang, Huanbo Luan, Guangnan Ye, Shuo Zhang, Dhagash Mehta, Pingping Chen, Bing Xiang, Tat-Seng Chua:
FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI. SIGIR 2025: 4184-4187 - [c9]Hongru Cai, Yongqi Li, Wenjie Wang, Fengbin Zhu, Xiaoyu Shen, Wenjie Li, Tat-Seng Chua:
Large Language Models Empowered Personalized Web Agents. WWW 2025: 198-215 - [c8]Chengbing Wang, Yang Zhang, Fengbin Zhu, Jizhi Zhang, Tianhao Shi, Fuli Feng:
Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation. WWW (Companion Volume) 2025: 1346-1350 - [i24]Yi Fang, Wenjie Wang, Yang Zhang, Fengbin Zhu, Qifan Wang, Fuli Feng, Xiangnan He:
Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment. CoRR abs/2502.02061 (2025) - [i23]Yan Weng, Fengbin Zhu, Tong Ye, Haoyan Liu, Fuli Feng, Tat-Seng Chua:
Optimizing Knowledge Integration in Retrieval-Augmented Generation with Self-Selection. CoRR abs/2502.06148 (2025) - [i22]Fengbin Zhu, Junfeng Li, Liangming Pan, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Tat-Seng Chua:
FinTMMBench: Benchmarking Temporal-Aware Multi-Modal RAG in Finance. CoRR abs/2503.05185 (2025) - [i21]Yiyan Xu, Wuqiang Zheng, Wenjie Wang, Fengbin Zhu, Xinting Hu, Yang Zhang, Fuli Feng, Tat-Seng Chua:
DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition. CoRR abs/2504.17349 (2025) - [i20]Zijie Lin, Yang Zhang, Xiaoyan Zhao, Fengbin Zhu, Fuli Feng, Tat-Seng Chua:
IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation. CoRR abs/2506.13229 (2025) - [i19]Honghui Bao, Wenjie Wang, Xilin Chen, Fengbin Zhu, Teng Sun, Fuli Feng, Tat-Seng Chua:
Heterogeneous User Modeling for LLM-based Recommendation. CoRR abs/2507.04626 (2025) - [i18]Yilun Qiu, Tianhao Shi, Xiaoyan Zhao, Fengbin Zhu, Yang Zhang, Fuli Feng:
Latent Inter-User Difference Modeling for LLM Personalization. CoRR abs/2507.20849 (2025) - [i17]Zhuangzhuang He, Zhou Kaiyu, Haoyue Bai, Fengbin Zhu, Yonghui Yang:
Understanding Embedding Scaling in Collaborative Filtering. CoRR abs/2509.15709 (2025) - [i16]Xiaoyan Zhao, Ming Yan, Yang Zhang, Yang Deng, Jian Wang, Fengbin Zhu, Yilun Qiu, Hong Cheng, Tat-Seng Chua:
Reinforced Strategy Optimization for Conversational Recommender Systems via Network-of-Experts. CoRR abs/2509.26093 (2025) - [i15]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 Li, Junfeng Li, Jingxian Zhu, Yang Zhang, Wenjie Wang, Fuli Feng, Richang Hong, Huanbo Luan, Ke-Wei Huang, Tat-Seng Chua:
FinDeepResearch: Evaluating Deep Research Agents in Rigorous Financial Analysis. CoRR abs/2510.13936 (2025) - 2024
- [c7]Fengbin Zhu, Chao Wang, Fuli Feng, Zifeng Ren, Moxin Li, Tat-Seng Chua:
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs. LREC/COLING 2024: 5119-5131 - [c6]Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua:
Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection. EMNLP (Findings) 2024: 11858-11875 - [c5]Fengbin Zhu, Ziyang Liu, Fuli Feng, Chao Wang, Moxin Li, Tat-Seng Chua:
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Financial Tabular and Textual Data. ICAIF 2024: 310-318 - [i14]Fengbin Zhu, Ziyang Liu, Fuli Feng, Chao Wang, Moxin Li, Tat-Seng Chua:
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data. CoRR abs/2401.13223 (2024) - [i13]Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua:
Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers. CoRR abs/2403.09972 (2024) - [i12]Boyi Deng, Wenjie Wang, Fengbin Zhu, Qifan Wang, Fuli Feng:
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG. CoRR abs/2406.11497 (2024) - [i11]Junbin Xiao, Nanxin Huang, Hangyu Qin, Dongyang Li, Yicong Li, Fengbin Zhu, Zhulin Tao, Jianxing Yu, Liang Lin, Tat-Seng Chua, Angela Yao:
VideoQA in the Era of LLMs: An Empirical Study. CoRR abs/2408.04223 (2024) - [i10]Hongru Cai, Yongqi Li, Wenjie Wang, Fengbin Zhu, Xiaoyu Shen, Wenjie Li, Tat-Seng Chua:
Large Language Models Empowered Personalized Web Agents. CoRR abs/2410.17236 (2024) - [i9]Fengbin Zhu, Ziyang Liu, Xiang Yao Ng, Haohui Wu, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Tat-Seng Chua:
MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding. CoRR abs/2410.21311 (2024) - [i8]Youcheng Huang, Fengbin Zhu, Jingkun Tang, Pan Zhou, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua:
Effective and Efficient Adversarial Detection for Vision-Language Models via A Single Vector. CoRR abs/2410.22888 (2024) - [i7]Zhiguang Wu, Fengbin Zhu, Xuequn Shang, Yupei Zhang, Pan Zhou:
Cooperative SQL Generation for Segmented Databases By Using Multi-functional LLM Agents. CoRR abs/2412.05850 (2024) - [i6]Chengbing Wang, Yang Zhang, Fengbin Zhu, Jizhi Zhang, Tianhao Shi, Fuli Feng:
Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation. CoRR abs/2412.17593 (2024) - 2023
- [c4]Fengbin Zhu, Moxin Li, Junbin Xiao, Fuli Feng, Chao Wang, Tat-Seng Chua:
SoarGraph: Numerical Reasoning over Financial Table-Text Data via Semantic-Oriented Hierarchical Graphs. WWW (Companion Volume) 2023: 1236-1244 - [i5]Fengbin Zhu, Chao Wang, Fuli Feng, Zifeng Ren, Moxin Li, Tat-Seng Chua:
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents with Semantic-Oriented Hierarchical Graphs. CoRR abs/2305.01938 (2023) - 2022
- [c3]Moxin Li, Fuli Feng, Hanwang Zhang, Xiangnan He, Fengbin Zhu, Tat-Seng Chua:
Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning. ACL (1) 2022: 57-69 - [c2]Fengbin Zhu, Wenqiang Lei, Fuli Feng, Chao Wang, Haozhou Zhang, Tat-Seng Chua:
Towards Complex Document Understanding By Discrete Reasoning. ACM Multimedia 2022: 4857-4866 - [i4]Fengbin Zhu, Chao Wang, Wenqiang Lei, Ziyang Liu, Tat-Seng Chua:
RDU: A Region-based Approach to Form-style Document Understanding. CoRR abs/2206.06890 (2022) - [i3]Fengbin Zhu, Wenqiang Lei, Fuli Feng, Chao Wang, Haozhou Zhang, Tat-Seng Chua:
Towards Complex Document Understanding By Discrete Reasoning. CoRR abs/2207.11871 (2022) - 2021
- [c1]Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua:
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance. ACL/IJCNLP (1) 2021: 3277-3287 - [i2]Fengbin Zhu, Wenqiang Lei, Chao Wang, Jianming Zheng, Soujanya Poria, Tat-Seng Chua:
Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering. CoRR abs/2101.00774 (2021) - [i1]Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua:
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance. CoRR abs/2105.07624 (2021)
Coauthor Index
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