I received my Ph.D. degree in Computer Science from Fudan University and joined Sun Yat-sen University in November 2025. Prior to that, I served as a faculty member at East China University of Science and Technology.

My research focuses on large language model training and inference, LLM-based agents, and natural language processing. I have led several competitive research projects, including the National Natural Science Foundation of China (NSFC) Young Scientists Fund and the Shanghai Basic Research Special Zone Program, and was selected for the Shanghai Young Science and Technology Talent Program (“Yangfan Program”).

I have also led multiple industry- and hospital-sponsored collaborative projects with leading partners such as Huawei, Meituan, and Ruijin Hospital, and have participated as a technical lead in research collaborations with Ant Group, Huawei, Meituan, and Alibaba. Many of my research成果 have been successfully deployed in real-world systems and published in top-tier conferences and journals. Over the past five years, I have published more than 70 papers in these venues, including nearly 30 papers as first or corresponding author in CCF A and CAS Q1 venues.

My representative works have appeared in AI Journal, IEEE Transactions on Knowledge and Data Engineering (TKDE), AAAI, ICDE, SIGIR, ACM Multimedia (ACM MM), WWW, KDD, ACL, and Information Processing & Management (IPM). I received the AAAI 2025 Deploy Application Award and the CIKM 2022 Best Short Paper Award. My publications have accumulated 2,600+ Google Scholar citations.

💡 Research Interests

• Large Language Model Training and Inference
• LLM-based Agents
• Natural Language Processing
• Knowledge Graphs

📖 Admissions

Each year, I recruit:

• 2–3 Master’s students (recommended admission or national entrance examination)
• 1–2 PhD students

Outstanding postdoctoral researchers are also welcome to join the group.

Prospective students who plan to apply to the School of Software Engineering at Sun Yat-sen University are welcome to contact me. Please include your CV and undergraduate transcript in your email. Highly motivated undergraduate students (sophomore or junior) at Sun Yat-sen University are also encouraged to join the group and participate in cutting-edge research.

Contact 📧 Email: liujp68@mail.sysu.edu.cn

💻 Projects

Principal Investigator

• 2024–2026 National Natural Science Foundation of China (NSFC) – Young Scientists Fund

• 2023–2025 Shanghai Basic Research Special Zone Program
• 2023–2026 Shanghai Young Science and Technology Talent Program (“Yangfan Program”)
• 2025–2026 Huawei Collaborative Research Project
• 2025–2026 Meituan Collaborative Research Project
• 2023–2024 Ruijin Hospital Collaborative Research Project
• 2023–2024 DiAis Collaborative Research Project
• 2022–2024 Telecom Institute No.5 Collaborative Research Project

📝 Publications

IEEE/CAA Journal of Automatica Sinica 2023

A brief overview of ChatGPT: the history, status quo and potential future development

Tianyu Wu, Shizhu He, Jingping Liu, Siqi Sun, Kang Liu, Qing-Long Han, and Yang Tang

CCF A

1. ACL main 2025 Jingping Liu, Ziyan Liu, Zhedong Cen, Yan Zhou, Yinan Zou, Weiyan Zhang, Haiyun Jiang, and Tong Ruan. Can Multimodal Large Language Models Understand Spatial Relations?
2. AAAI 2025 Qi Ye, Guangya Yu, Jingping Liu, Erzhen Chen, Chenjie Dong, Xiaosheng Lin, Zelei Liu, Han Yu, and Tong Ruan. IMQC: A Large Language Model Platform for Medical Quality Control
3. ACL main 2025 Dongge Xue, Zhili Pu, Zhentao Xia, Hongli Sun, Ruihui Hou, Guangya Yu, Yupian Lin, Yongqi Fan, Jingping Liu, and Tong Ruan. Text-to-ES Bench: A Comprehensive Benchmark for Converting Natural Language to Elasticsearch Query
4. WWW 2025 Xianyang Tian, Xiang Xu, Chao Wang, Tong Ruan, Baohua Wu, Maofei Que, Shenghua Ni, Zhuoran Zhuang, and Jingping Liu. Towards Explainable Search Results in E-commerce
5. ACM MM 2025 Ziyan Liu, Junwen Li, Kaiwen Li, Tong Ruan, Chao Wang, Xinyan He, Zongyu Wang, Xuezhi Cao, and Jingping Liu. I2CR: Intra- and Inter-modal Collaborative Reflections for Multimodal Entity Linking
6. AAAI 2024 Jingping Liu, Mingchuan Zhang, Weichen Li, Chao Wang, Shuang Li, Haiyun Jiang, Sihang Jiang, Yanghua Xiao, and Yunwen Chen. Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding
7. TKDE 2024 Jingping Liu, Tao Chen, Hao Guo, Chao Wang, Haiyun Jiang, Yanghua Xiao, Xiang Xu, and Baohua Wu. Exploiting Duality in Aspect Sentiment Triplet Extraction with Sequential Prompting
8. AI Journal 2024 Jingping Liu, Lihan Chen, Sihang Jiang, Chao Wang, Sheng Zhang, Jiaqing Liang, Yanghua Xiao, and Rui Song. A Crossword Solving System Based on Monte Carlo Tree Search
9. ACL Findings 2024 Yongqi Fan, Yansha Zhu, Kui Xue, Jingping Liu, and Tong Ruan. RR-Norm: A Novel Framework for Chinese Disease Diagnoses Normalization via LLM-Driven Terminology Component Recognition and Reconstruction
10. ACL Findings 2024 Weiyan Zhang, Wanpeng Lu, Jiacheng Wang, Yating Wang, Lihan Chen, Haiyun Jiang, Jingping Liu, and Tong Ruan. Unexpected Phenomenon: LLMs' Spurious Associations in Information Extraction
11. TKDE 2024 Weiyan Zhang, Jiacheng Wang, Chuang Chen, Wanpeng Lu, Wen Du, Haofen Wang, Jingping Liu, and Tong Ruan. A Bidirectional Extraction-then-Evaluation Framework for Complex Relation Extraction
12. TKDE 2023 Jingping Liu, Juntao Liu, Lihan Chen, Jiaqing Liang, Yanghua Xiao, Huimin Xu, Fubao Zhang, Zongyu Wang, and Rui Xie. Noun Compound Interpretation with Relation Classification and Paraphrasing
13. SIGIR Short 2023 Zhiang Yue, Jingping Liu, Cong Zhang, Chao Wang, Haiyun Jiang, Yue Zhang, Xianyang Tian, Zhedong Cen, Yanghua Xiao, and Tong Ruan. MA-MRC: A Multi-answer Machine Reading Comprehension Dataset
14. ACM MM 2023 Tinghui Zhu, Jingping Liu, Jiaqing Liang, Haiyun Jiang, Yanghua Xiao, Zongyu Wang, Rui Xie, and Yunsen Xian. Towards Visual Taxonomy Expansion
15. AAAI 2023 Zhouhong Gu, Sihang Jiang, Jingping Liu, Yanghua Xiao, Hongwei Feng, Zhixu Li, Jiaqing Liang, and Jian Zhong. GANTEE: Generative Adversarial Network for Taxonomy Enterance Evaluation
16. KDD 2023 Jian Xie, Yidan Liang, Jingping Liu, Yanghua Xiao, Baohua Wu, and Shenghua Ni. QUERT: Continual Pre-training of Language Model for Query Understanding in Travel Domain Search
17. TKDE 2023 Yupian Lin, Tong Ruan, Jingping Liu, and Haofen Wang. A Survey on Neural Data-to-Text Generation
18. WWW 2023 Sheng You, Chao Wang, Baohua Wu, Jingping Liu, Quan Lu, Guanzhou Han, and Yanghua Xiao. What Image do You Need? A Two-stage Framework for Image Selection in E-commerce
19. KDD 2023 Jingsong Yang, Guanzhou Han, Deqing Yang, Jingping Liu, Yanghua Xiao, Xiang Xu, Baohua Wu, and Shenghua Ni. M3PT: A Multi-Modal Model for POI Tagging

CAS Q1

1. IEEE/CAA Journal of Automatica Sinica 2025 Luolin Xiong, Haofen Wang, Xi Chen, Lu Sheng, Yun Xiong, Jingping Liu, Yanghua Xiao, Huajun Chen, Qing-Long Han, and Yang Tang. DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models
2. Knowledge-Based Systems 2025 Ruihui Hou, Shencheng Chen, Yongqi Fan, Guangya Yu, Lifeng Zhu, Jing Sun, Jingping Liu, and Tong Ruan. MSDiagnosis: A Benchmark and Framework for Evaluating Large Language Models in Multi-Step Clinical Diagnosis
3. Information Processing & Management 2024 Jingping Liu, Xianyang Tian, Hanwen Tong, Chenhao Xie, Tong Ruan, Lin Cong, Baohua Wu, and Haofen Wang. Enhancing Chinese Abbreviation Prediction with LLM Generation and Contrastive Evaluation