现任北京师范大学珠海校区讲师、硕士生导师，2025年于北京大学获得理学博士学位，2021年于中国科学院信息工程研究所获得硕士学位，2016年于中南大学获得学士学位。研究方向主要包括自然语言处理、知识图谱构建及推理、大规模语言模型预训练等相关领域。在ACL、EMNLP、Nature子刊等国际会议期刊发表文章30余篇，申请授权发明专利9项。长期担任ACL ARR领域主席，并为TKDE、KBS、IPM、Neurocomputing、Information Sciences、JMIR系列等期刊及ACL、SIGIR、NAACL、EMNLP、AAAI、IJCAI、ICLR等会议担任审稿人或程序委员，多次担任IJCAI等国际会议Session Chair/Track Chair。

教育背景

2012.09-2016.06  中南大学 粉末冶金研究院，粉体材料科学与工程专业，工学学士

2018.09-2021.06  中国科学院 信息工程研究所，计算机技术专业，工程硕士

2021.09-2025.06  北京大学 王选计算机研究所，计算机应用技术专业，理学博士

工作经历

2016.06-2018.09  北京博洛尼公司  软件工程师

2026.07-至今    北京师范大学珠海校区 讲师

研究方向

自然语言处理，大规模语言模型，知识图谱，AI4Med

科研项目

1.广东省重点领域研发计划，面向真实场景的多模态交通大模型研发与应用示范，2026.01-2028.12，参与

2.国家自然科学基金重点项目，大规模图的复杂性分析与高效计算，2020.01-2024.12，参与

3.国家重点研发计划项目，图计算软件支撑环境，2023.12-2026.11，参与

4.北京通用人工智能研究院 - 通用人工智能“学-研-产”联合任务，时空域多模态知识库构建及应用，2021.09-2023.12，主要参与人

5.国家任务，网络探测分析技术研究，2020.1-2020.12，参与

6.中科院先导，协同检测与分析关键技术研究，2020.1-2020.12，参与

7.中科院先导，协同检测与分析关键技术研究，2019.1-2019.12，参与

8.中科院先导，信息聚合分析技术研究，2019.1-2019.12，参与

代表论文

1.Hao Wang, Jialun Zhong, Changcheng Wang, Zhujun Nie, Zheng Li, Shunyu Yao, Yanzeng Li^*, Xinchi Li. SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs. In Neurocomputing (2026).

2.Sairan Li^†, Yanzeng Li^†, Shuya Zhou, Xinge Tao, Changjie Yu, Muzi Shen, Wangyue Chen, En Meng, Boyou Wu, Qirui Huang, Frances S Mair, Jinchao Zhang, Jie Zhou, Lei Zou, Shasha Han. A community-codesigned LLM-powered chatbot for primary care: a randomized controlled trial. In Nature Health 1, 238–250 (2026).

3.Xinge Tao, Shuya Zhou, Kai Ding, Sairan Li, Yanzeng Li, Boyou Wu, Qirui Huang, Wangyue Chen, Muzi Shen, En Meng, Xiaowang Chen, Hong Hu, Jinchao Zhang, Jie Zhou, Lei Zou, Libing Ma, Shasha Han. An LLM chatbot to facilitate primary-to-specialist care transitions: a randomized controlled trial. In Nature Medicine 32, 934–942 (2026).

4.Jialun Zhong, Yanzeng Li, Sen Hu, Yang Zhang, Teng Xu, Lei Zou. GAP: Graph-Assisted Prompts for Dialogue-based Medication Recommendation. In Proc. of APWeb-WAIM 2026, Danang, Vietnam.

5.Jianpeng Hu, Yanzeng Li, Jialun Zhong, Wenfa Qi, Lei Zou. Detecting Hallucinations in Retrieval-Augmented Generation via Semantic-level Internal Reasoning Graph. In Findings of ACL 2026, San Diego, California, United States.

6.Jialun Zhong, Jiayang Yu, Yanzeng Li, Meng Qin, Lei Zou, Yuqian Wang, Ying Zhang, Hanna Li, Liying Yan, Jie Qiao. RareDASH: A Dynamic Multi-Agent System for Holistic Rare Disease Care. In Proc. of IJCAI 2026, Bremen, Germany.

7.Yanzeng Li, Cheng Zeng, Jinchao Zhang, Jialun Zhong, Ruoyu Zhang, Minhao Zhang, Lei Zou. MedDiT: A Knowledge-Controlled Diffusion Transformer Framework for Dynamic Medical Image Generation in Virtual Simulated Patient. In Proc. of IJCAI 2025 Demo Track, Montreal, Canada.

8.Yirui Zhan^†, Yanzeng Li^†, Minhao Zhang, Lei Zou. A Progressive Question Answering Framework Adaptable to Multiple Knowledge Sources. In Proc. of APWeb-WAIM 2024 Demo Track, Jinhua.

9.Yanzeng Li, Sen Hu, Wenjuan Han and Lei Zou. CORD: A Three-Stage Coarse-to-Fine Framework for Relation Detection in Knowledge Base Question Answering. In Proc. of CIKM 2023, Birmingham, UK.

10.Ruoyu Zhang, Yanzeng Li, Yongliang Ma, Ming Zhou, Lei Zou. LLMaAA: Making Large Language Models as Active Annotators. In Findings of EMNLP 2023, Singapore.

11.Ruoyu Zhang, Yanzeng Li, Lei Zou. A Novel Table-to-Graph Generation Approach for Document-Level Joint Entity and Relation Extraction. In Proc. of ACL 2023, Toronto, Canada.

12.Yanzeng Li, Bingcong Xue, Ruoyu Zhang, Lei Zou. AtTGen: Attribute Tree Generation for Real-World Attribute Joint Extraction. In Proc. of ACL 2023, Toronto, Canada.

13.Ruoyu Zhang, Yanzeng Li, Minhao Zhang, Lei Zou. Exploiting Ubiquitous Mentions for Document-Level Relation Extraction. In Proc. of SIGIR 2023, Taipei.

14.Yanzeng Li, Zilong Zheng, Wenjuan Han, Lei Zou. VGStore: A Multimodal Extension to SPARQL for Querying RDF Scene Graph. In Proc. of ISWC 2022 P&D Track, Hangzhou, China.

15.Yanzeng Li^†, Jiangxia Cao^†, Xin Cong, Zhenyu Zhang, Bowen Yu, Hongsong Zhu, Tingwen Liu. Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph. In Proc. of ACL 2022, Dublin.

16.Li Zhang, Yanzeng Li^*, Ruoyu Zhang, Wenjie Li. Semi-Open Attribute Extraction from Chinese Functional Description Text. In Proc. of ACML 2021, Online.

17.Jiapeng Zhao, Panpan Zhang, Tingwen Liu, Zhenyu Zhang, Yanzeng Li, Jinqiao Shi. Relation Extraction based on Data Partition and Representation Integration. In Proc. of IEEE DSC 2021, ShenZhen.[Best Paper Runner Up]

18.Yanzeng Li, Bowen Yu, Li Quangang, Tingwen Liu. FITAnnotator: A Flexible and Intelligent Text Annotation System. In Proc. of NAACL-HLT 2021 Demo Track, Online.

19.Yanzeng Li, Bowen Yu, Mengge Xue, Tingwen Liu. Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention. In Proc. of ACL 2020, Seattle, Washington.

20.Yanzeng Li, Tingwen Liu, Diying Li, Quangang Li, Jinqiao Shi, Yanqiu Wang. Character-based BiLSTM-CRF Incorporating POS and Dictionaries for Chinese Opinion Target Extraction. In Proc. of ACML 2018, Beijing.

教学工作

本科生： 算法与程序设计（Python）

研究生： 深度学习前沿

社会工作

ACL ARR Area Chair；

IEEE TKDE、Knowledge-Based Systems、Information Processing and Management、Neurocomputing、Information Sciences、JMIR series等期刊审稿人；

ACL、EMNLP、NAACL、AACL、EACL、SIGIR、MM、AAAI、IJCAI、ICLR 、COLM、CIKM、ICAASP、NLPCC等会议程序委员会成员。