Jin Xiongnan, PhD, Assistant Professor, Shenzhen University
English Homepage: https://jinxiongnan.github.io
Education Background:
2013-2019, Yonsei University (ranked 50th in QS 2026), South Korea, PhD in Computer Science (combined Master's and PhD program);
2008-2012, Zhejiang University, Bachelor's Degree in Software Engineering
Work Experience:
2024.07-Present: Assistant Professor, School of Artificial Intelligence & National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University;
2021.11-2024.06: Senior Researcher, Institute of Artificial Intelligence, Zhejiang Lab;
2020.01-2021.09: Postdoctoral Fellow, National Institute of Standards and Technology (NIST), USA
Research Interests: Knowledge Augmentation Models, Intelligent Agents, RAG, Multimodal Computing, Semantic Computing, etc.
Research Achievements:
Leaded 1 national-level (youth) project, 2 provincial/ministerial-level projects, and 1 university-level project; participated in over 10 research projects in China, the United States, and South Korea. Published over 30 papers in top international conferences and journals such as AAAI, IJCAI, and IEEE TKDE, with over 700 citations and an h-index of 13. Granted 4 foreign invention patents, over 10 domestic invention patents, and 3 domestic and international software copyrights. Serves as a member of the Language and Knowledge Computing Committee of the Chinese Language and Literature Association of China, and a reviewer for conferences and journals such as AAAI, KDD, WSDM, KBS, and Information Fusion. The main papers and projects are as follows (for all papers, please visit https://scholar.google.com/citations?user=xqEmRngAAAAJ&hl=zh-CN&oi=ao):
Paper 1. Lijia Ma, Haoyang Fu, Zhijie Cao, Xiongnan Jin* (corresponding author), Qiuzhen Lin, Jianqiang Li, STLSP: Integrating Structure and Text with Large Language Models for Link Sign Prediction of Networks, Proc. of IJCAI, 2025. (CCF-A, CS Rankings)
Paper 2. Xiongnan Jin, Zhilin Wang, Jinpeng Chen, Liu Yang, Byungkook Oh, Seung-won Hwang, Jianqiang Li. HLMEA: Unsupervised Entity Alignment based on Hybrid Language Models. Proc. of AAAI, 2025. (CCF-A, CS Rankings)
Paper 3. Xiongnan Jin, Sangjin Shin, Eunju Jo, Kyong-Ho Lee. Collective keyword query on a spatial knowledge base. IEEE Transactions on Knowledge and Data Engineering, 31(11), 2051-2062, 2018. (CCF-A, Top of Region 1, Chinese Academy of Sciences)
Paper-4. Xiongnan Jin, Sungkwang Eom, Sangjin Shin, Kyong-Ho Lee, Chaoqun Hong. DORIC: discovering topological relations based on spatial link composition. Knowledge and Information Systems (KAIS), 63(10), 2645-2669, 2021. (CCF-B)
Paper-5. Xiongnan Jin, Byungkook Oh, Sanghak Lee, Dongho Lee, Kyong-Ho Lee, Liang Chen. Learning region similarity over spatial knowledge graphs with hierarchical types and semantic relations. Proc. of CIKM, pp. 669-678, 2019. (CCF-B)
Project 1. National Natural Science Foundation of China (NSFC) Youth Project: Research on Few-Sample Graph Fusion Based on Hybrid Spatial Knowledge Representation (Principal Investigator, 62306287, 300,000 RMB, January 2024 - December 2026);
Project 2. Independent Project of the National Key Laboratory of Radio Frequency Heterogeneous Integration: Research on Multimodal Knowledge Enhancement Generation for Radio Frequency Electronic System Design (Principal Investigator, 2025006, 150,000 RMB, July 2025 - June 2027);
Project 3. Zhejiang Provincial Natural Science Foundation Exploration Project: Research on Representation Learning and Pre-training Models for Knowledge Extraction from Structured Big Data (Principal Investigator, LY23F020012, 100,000 RMB, January 2023 - December 2025);
Project 4. Shenzhen University Young Faculty Research Start-up Fund: Research on Unsupervised Entity Alignment Based on Large Models and Riemannian Space (Principal Investigator, 868-000001032902, 200,000 RMB, September 2024 - April 2027);
