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, Reinforcement Learning, Retrieval-Augmented Generation.

Links: Email, Google Scholar, GitHub.

📝 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]
• Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory
  • Derong Xu, Shuochen Liu, Pengfei Luo, Pengyue Jia, Yingyi Zhang, Yi Wen, Yimin Deng, Wenlin Zhang, Enhong Chen, Xiangyu Zhao, Tong Xu (ACL 2026) [Paper|Code]
• ProEchoMem: Enhancing Long Video Understanding via Multi-Trace Probe-Echo Memory
  • Derong Xu*, Yanxin Chen*, Wanyu Wang, Pengyue Jia, Chao Zhang, Maolin Wang, Yiqi Wang, Jipeng Qiang, Xuetao Wei, Hongzhi Yin, Tong Xu, Xiangyu Zhao (SIGIR 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]
• 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]
• 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]
• 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)
• More Edits, More Stable: Understanding the Lifelong Normalization in Sequential Model Editing
  • Xin Ma, Wei Chen, Qi Liu, Derong Xu, Zhi Zheng, Tong Xu, Enhong Chen (ICML 2026)
• 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)
• Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
  • Yingyi Zhang, Pengyue Jia, Derong Xu, Yi Wen, Xianneng Li, Yichao Wang, Wenlin Zhang, Xiaopeng Li, Weinan Gan, Huifeng Guo, Yong Liu, Xiangyu Zhao (AAAI 2026)
• To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention
  • Wenlin Zhang, Kuicai Dong, Junyi Li, Yingyi Zhang, Xiaopeng Li, Pengyue Jia, Yi Wen, Derong Xu, Maolin Wang, Yichao Wang, Yong Liu, Xiangyu Zhao (WWW 2026)
• SAGE: Global Semantic Alignment with LLMs for Long-Tail Sequential Recommendation
  • Maolin Wang, Tongshu Bian, Ziyan Wang, Xiaotong Jiang, Binhao Wang, Derong Xu, Wanyu Wang, Ruocheng Guo, Xiangyu Zhao (WWW 2026)
• A Survey of Personalization: From RAG to Agent
  • Xiaopeng Li, Pengyue Jia, Derong Xu, Yi Wen, Yingyi Zhang, Wenlin Zhang, Wanyu Wang, Yichao Wang, Zhaocheng Du, Xiangyang Li, Yong Liu, Huifeng Guo, Ruiming Tang, Xiangyu Zhao (TOIS 2026)
• AdapTime: Enabling Adaptive Temporal Reasoning in Large Language Models
  • Yimin Deng, Yejing Wang, Zhenxi Lin, Zichuan Fu, Guoshuai Zhao, Derong Xu, Yefeng Zheng, Xiangyu Zhao, Xian Wu, Li Zhu, Xueming Qian (ACL 2026)
• MultiDx: A Multi-Source Knowledge Integration Framework towards Diagnostic Reasoning
  • Yimin Deng, Zhenxi Lin, Yejing Wang, Guoshuai Zhao, Pengyue Jia, Zichuan Fu, Derong Xu, Yefeng Zheng, Xiangyu Zhao, Li Zhu, Xian Wu, Xueming Qian (ACL 2026)
• Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
  • Wenlin Zhang, Xiangyang Li, Kuicai Dong, Yichao Wang, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Derong Xu, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Xiangyu Zhao (NeurIPS 2025)
• A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs
  • Yimin Deng, Yuxia Wu, Yejing Wang, Guoshuai Zhao, Li Zhu, Qidong Liu, Derong Xu, Zichuan Fu, Xian Wu, Yefeng Zheng, Xiangyu Zhao, Xueming Qian (ACL 2025)
• Measure Domain’s Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation
  • Yi Wen, Yue Liu, Derong Xu, Huishi Luo, Pengyue Jia, Yiqing Wu, Siwei Wang, Ke Liang, Maolin Wang, Yiqi Wang, Fuzhen Zhuang, Xiangyu Zhao (KDD 2025)
• LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration
  • Yingyi Zhang, Pengyue Jia, Xianneng Li, Derong Xu, Maolin Wang, Yichao Wang, Zhaocheng Du, Huifeng Guo, Yong Liu, Ruiming Tang, Xiangyu Zhao (KDD 2025)
• Visualization Recommendation with Prompt-based Reprogramming of Large Language Models
  • Xinhang Li, Jingbo Zhou, Wei Chen, Derong Xu, Tong Xu, Enhong Chen (ACL 2024)
• Alignment before Awareness: Towards Visual Question Localized-Answering in Robotic Surgery via Optimal Transport and Answer Semantics
  • Zhihong Zhu, Yunyan Zhang, Xuxin Cheng, Zhiqi Huang, Derong Xu, Xian Wu, Yefeng Zheng (LREC-COLING 2024)
• TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing
  • Zhihong Zhu, Xianwei Zhuang, Yunyan Zhang, Derong Xu, Guimin Hu, Xian Wu, Yefeng Zheng (IJCAI 2024)
• When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications
  • Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng (SIGIR 2024)
• Large Language Model based Long-tail Query Rewriting in Taobao Search
  • Wenjun Peng, Guiyang Li, Yue Jiang, Zilong Wang, Dan Ou, Xiaoyi Zeng, Derong Xu, Tong Xu, Enhong Chen (WWW 2024)
• Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement
  • Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen (CIKM 2023)
• Unified QA-aware Knowledge Graph Generation Based on Multi-modal Modeling
  • Penggang Qin, Jiarui Yu, Yan Gao, Derong Xu, Yunkai Chen, Shiwei Wu, Tong Xu, Enhong Chen, Yanbin Hao (ACM MM 2022)

🎖 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

💻 Internships

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