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.

πŸ“ Selected Publications

* indicates equal contribution.

  • From Single to Multi-Granularity: Toward Long-Term Memory Association and Selection of Conversational Agents
    • Derong Xu, Yi Wen, Pengyue Jia, Yingyi Zhang, Wenlin Zhang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao, Enhong Chen, Tong Xu (ICLR 2026)
      [Paper|Code]
  • Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval
    • Yingyi Zhang, Junyi Li, Wenlin Zhang, Pengyue Jia, Xianneng Li, Yichao Wang, Derong Xu, Yi Wen, Huifeng Guo, Yong Liu, Xiangyu Zhao (ICLR 2026)
      [Paper|Code]
  • Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
    • Pengyue Jia*, Derong Xu*, Xiaopeng Li*, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Yichao Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang (ACL Findings 2025)
      [Paper|Code]
  • 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
    • Derong Xu, Xinhang Li, Ziheng Zhang, Zhenxi Lin, Zhihong Zhu, Zhi Zheng, Xian Wu, Xiangyu Zhao, Tong Xu, Enhong Chen (AAAI 2025)
      [Paper|Code]
  • Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding
    • Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen (EMNLP Findings 2024)
      [Paper|Code]
  • Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models
    • Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Enhong Chen, Yefeng Zheng (CIKM 2024)
      [Paper|Code]
  • Large Language Models for Generative Information Extraction: A Survey
    • Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu, Yefeng Zheng, Enhong Chen (FCS 2024)
      [Paper|Code]
  • Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models
    • Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu*, Xiangyu Zhao, Yefeng Zheng, Enhong Chen (COLING 2024)
      [Paper|Code]
  • Multimodal Biological Knowledge Graph Completion via Triple Co-attention Mechanism
    • Derong Xu, Jingbo Zhou, Tong Xu*, Yuan Xia, Ji Liu, Enhong Chen, Dejing Dou (ICDE 2023)
      [Paper|Code]
  • Relation-enhanced Negative Sampling for Multimodal Knowledge Graph Completion
    • Derong Xu, Tong Xu*, Shiwei Wu, Jingbo Zhou, Enhong Chen (ACM MM 2022)
      [Paper|Code]

πŸŽ– Honors and Awards

  • Peter Ho Conference Scholarships (Top 10), 2025–2026
  • 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 Students’ Innovation Competition, 2020
  • Finalist (Top 1%), Mathematical Contest in Modeling (MCM/ICM), 2020

πŸ’» Internships

  • 2023/09–2024/09 Tencent Youtu Lab, Tianyuan Research Center, Shenzhen β€” Research Intern
    • Worked on Retrieval-Augmented Generation and LLM Hallucination in Medical.
  • 2022/10–2023/02 Microsoft Research Asia, Social Computing Group, Beijing β€” Research Intern
    • Worked on Knowledge-empowered News Recommendation.
  • 2021/03–2021/10 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)