| 2026 | ACL | PERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models. | Chengbing Wang, Wuqiang Zheng, Yang Zhang, Fengbin Zhu, Junyi Cheng, Yi Xie, Wenjie Wang, Fuli Feng |
| 2026 | ACL | TROJail: Trajectory-Level Optimization for Multi-Turn Large Language Model Jailbreaks with Process Rewards. | Xiqiao Xiong, Ouxiang Li, Zhuo Liu, Moxin Li, Wentao Shi, Fengbin Zhu, Qifan Wang, Fuli Feng |
| 2026 | MMM | 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, Tat-Seng Chua |
| 2026 | WWW | BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning. | Pengyang Shao, Naixin Zhai, Lei Chen, Yonghui Yang, Fengbin Zhu, Xun Yang, Meng Wang |
| 2026 | SIGIR | One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment. | Hongru Cai, Yongqi Li, Tiezheng Yu, Fengbin Zhu, Wenjie Wang, Fuli Feng, Wenjie Li |
| 2025 | AAAI | CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG. | Boyi Deng, Wenjie Wang, Fengbin Zhu, Qifan Wang, Fuli Feng |
| 2025 | EMNLP | Latent Inter-User Difference Modeling for LLM Personalization. | Yilun Qiu, Tianhao Shi, Xiaoyan Zhao, Fengbin Zhu, Yang Zhang, Fuli Feng |
| 2025 | RecSys | Heterogeneous User Modeling for LLM-based Recommendation. | Honghui Bao, Wenjie Wang, Xinyu Lin, Fengbin Zhu, Teng Sun, Fuli Feng, Tat-Seng Chua |
| 2025 | WWW | Large Language Models Empowered Personalized Web Agents. | Hongru Cai, Yongqi Li, Wenjie Wang, Fengbin Zhu, Xiaoyu Shen, Wenjie Li, Tat-Seng Chua |
| 2025 | WWW | Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation. | Chengbing Wang, Yang Zhang, Fengbin Zhu, Jizhi Zhang, Tianhao Shi, Fuli Feng |
| 2025 | SIGIR | Unified Category and Style Generalization for Instance-Level Sketch Retrieval. | Zechao Hu, Zhengwei Yang, Hao Li, Yixiong Zou, Fengbin Zhu, Zheng Wang |
| 2025 | SIGIR | Long Context vs. RAG: Strategies for Processing Long Documents in LLMs. | Xinze Li, Yushi Bai, Bowen Jin, Fengbin Zhu, Liangming Pan, Yixin Cao |
| 2025 | SIGIR | FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI. | Fengbin Zhu, Yunshan Ma, Fuli Feng, Chao Wang, Huanbo Luan, Guangnan Ye, Shuo Zhang, Dhagash Mehta, Pingping Chen, Bing Xiang, Tat-Seng Chua |
| 2024 | COLING | 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 |
| 2024 | EMNLP | 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 |
| 2023 | WWW | 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 |
| 2022 | ACL | Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning. | Moxin Li, Fuli Feng, Hanwang Zhang, Xiangnan He, Fengbin Zhu, Tat-Seng Chua |
| 2021 | ACL | 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 |