About Me
I am currently a joint Ph.D. student in Data Science at USTC and CityU, supervised by Prof. Enhong Chen and Prof. Tong Xu at BDAA Lab, and Prof. Xiangyu Zhao at AML Lab. Prior to starting my doctoral studies, I received my B.S. degree in Intelligent Science and Technology from XDU in 2021.
My research interests include Agent Memory, Retrieval-Augmented Generation, Knowledge Graphs, and Multimodal Learning.
Links: Email, Google Scholar, GitHub.
π Selected Publications
* indicates equal contribution.
- From Single to Multi-Granularity: Toward Long-Term Memory Association and Selection of Conversational Agents
- Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval
- Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
- MLLM-I2W: Harnessing Multimodal Large Language Model for Zero-Shot Composed Image Retrieval
- Tong Bao, Che Liu, Derong Xu, Zhi Zheng, Tong Xu (COLING 2025, Outstanding Paper Award, 5/1922)
- Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation
- Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding
- Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models
- Large Language Models for Generative Information Extraction: A Survey
- Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models
- Multimodal Biological Knowledge Graph Completion via Triple Co-attention Mechanism
- Relation-enhanced Negative Sampling for Multimodal Knowledge Graph Completion
π Honors and Awards
- Peter Ho Conference Scholarships (Top 10), 2025β2026
- National Scholarship, 2023
- Third Prize, CCKS 2022: Multimodal E-commerce Knowledge Graph Link Prediction, 2022
- Shaanxi Provincial Outstanding Graduate (Top 1%), 2021
- Goodix Scholarship & First-Class Scholarship, 2021
- National Scholarship (Undergraduate), 2018 and 2020
- Gold Prize, China International College Studentsβ Innovation Competition, 2020
- Finalist (Top 1%), Mathematical Contest in Modeling (MCM/ICM), 2020
π» Internships
- 2023/09β2024/09 Tencent Youtu Lab, Tianyuan Research Center, Shenzhen β Research Intern
- Worked on Retrieval-Augmented Generation and LLM Hallucination in Medical.
- 2022/10β2023/02 Microsoft Research Asia, Social Computing Group, Beijing β Research Intern
- Worked on Knowledge-empowered News Recommendation.
- 2021/03β2021/10 Baidu Research, Business Intelligence Lab, Beijing β Research Intern
- Worked on Multimodal Knowledge Graph Completion.
Services
Conference Reviewer
- 2026: ICLR, ICML, ACL, KDD, CVPR, AAAI, SIGIR, ECCV, WSDM
- 2025: ACL, KDD, SIGIR, ACMMM, EMNLP
- 2024: ACL, ACMMM
Journal Reviewer
- IEEE Transactions on Big Data (TBD)
- IEEE Transactions on Knowledge and Data Engineering (TKDE)