Biographical Sketch:

Zhenzhen Gu (Ph.D.) was born in July 1988. She currently serves as an Associate Research Professor (Special Research Fellow) and Master’s Supervisor at the School of Software, Nanchang University. She received her B.S. degree from Harbin Institute of Technology in 2010 and earned her Ph.D. in Computer Software and Theory from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences (CAS) in 2017 through a consecutive Master-PhD program. Following her doctoral studies, she conducted postdoctoral research at the Institute of Computing Technology, CAS, and the Free University of Bozen-Bolzano (Supervisor: Prof. Diego Calvanese, ACM/EurAI/AAIA Fellow), Italy, before joining Nanchang University in January 2024.

Dr. Gu’s research interests primarily encompass Knowledge Graphs (KG), Large Language Models (LLMs), and Big Data, with a particular focus on their synergistic integration, such as bidirectional enhancement between KGs and LLMs, and intelligent semantic integration and governance of big data. To date, she has published almost 20 papers in core international journals and conferences as the lead or corresponding author and holds 6 authorized invention patents. Her accolades include a Best Research Paper Award at a prestigious international conference in 2022 (ranked first). She has led or participated in 9 high-level research initiatives, including EU projects, the National Key R&D Program of China, and provincial-level projects. Currently, she serves as an editorial board member for an international journal, a program committee member for several international conferences, and a reviewer for multiple high-impact SCI journals.

Education and Professional Experience:  

1. 2024.01 – Present: Associate Research Professor (Special Research Fellow), School of Software, Nanchang University.

2. 2020.09 – 2023.12: Postdoctoral Researcher, Faculty of Computer Science, Free University of Bozen-Bolzano, Italy. (Supervisor: Prof. Diego Calvanese, ACM/EurAI/AAIA Fellow)

3. 2017.08 – 2020.08: Postdoctoral Researcher, Institute of Computing Technology, Chinese Academy of Sciences. (Supervisor: Prof. Cungen Cao)

4. 2010.08 – 2017.07: Ph.D. in Computer Software and Theory, Academy of Mathematics and Systems Science, Chinese Academy of Sciences. (Consecutive Master-PhD Program)

5. 2006.08 – 2010.07: B.S. in Mathematics and Applied Mathematics, Harbin Institute of Technology.

Academic Services & Memberships:

1. Member of the Chinese Association for Artificial Intelligence (CAAI).

2. Editorial Board Member of an international journal; Program Committee (PC) member for international conferences.

3. Peer Reviewer for multiple high-level SCI journals.

Research Interests: 

Artificial Intelligence, Knowledge Graphs (KGs), Large Language Models (LLMs), Big Data, and their integrated applications in downstream tasks, such as Bidirectional enhancement of KGs and LLMs, and KGs and LLMs dual-driven Big Date Integration.

Selected Publications

Journal Articles:

1. Zhenzhen Gu, Davide Lanti, Francesco Corcoglioniti, et al. Ontology-based Data Federation and Query Optimization. Knowledge-Based Systems, 2025: 114216. (SCIE, CAS Tier 1 Top Journal, IF: 7.6)

2. Jianfeng Xu, Xing Liu, Zhenzhen Gu*, Guohui Xiao. A rapid cross-validation computing for three-way decisions in imbalanced data. Information Sciences, 2025, 707: 122016. (Corresponding Author, SCIE, CAS Tier 1 Top Journal, IF: 6.8, JCR Q1, CCF B)

3. Zhenzhen Gu, Francesco Corcoglioniti, Davide Lanti, et al. A systematic overview of data federation systems. Semantic Web Journal, 2024, 15(1): 107-165. (SCI, CAS Tier 2, IF: 3.0)

4. Zhenzhen Gu, Songmao Zhang, Cungen Cao. Reasoning and querying web-scale open data based on DL-LiteA in a divide-and-conquer way. Journal of Web Semantics, 2019, 55: 122-144. (SCI, CCF B, IF: 2.7)

5. Zhenzhen Gu, Songmao Zhang. The more irresistible Hi(SRIQ) for meta-modeling and meta-query answering. Frontiers of Computer Science, 2018, 12(5): 1029-1031. (SCI, CCF B, IF: 4.6)

Conference Papers:

1. Zhenzhen Gu, Diego Calvanese, Marco Di Panfilo, et al. OBDF = OBDA + Data Federation. IEEE 40th International Conference on Data Engineering (ICDE) @ AreGraph, 2024.

2. Zhenzhen Gu, Diego Calvanese, Marco Di Panfilo, et al. Ontology-based Data Federation - A Framework Proposal. 31st Symposium on Advanced Database Systems (SEBD), 2023.

3. Zhenzhen Gu, Davide Lanti, Alessandro Mosca, et al. Ontology-based Data Federation. The 11th International Joint Conference on Knowledge Graphs (IJCKG), 2022. (Best Research Paper Award)

4. Zhenzhen Gu, Davide Lanti, Alessandro Mosca, et al. Ontology-based Data Federation. The 35th International Workshop on Description Logics (DL), 2022.

5. Jing Xiong, Guohui Xiao, Tahir Emre Kalayci, Marco Montali, Zhenzhen Gu, Diego Calvanese. Extraction of Object-Centric Event Logs through Virtual Knowledge Graphs. The 35th International Workshop on Description Logics (DL), 2022.

6. Jing Xiong, Guohui Xiao, Tahir Emre Kalayci, Marco Montali, Zhenzhen Gu, Diego Calvanese. A Virtual Knowledge Graph Based Approach for Object-Centric Event Logs Extraction. The 7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI), 2022.

7. Zhenzhen Gu, Songmao Zhang. DL-Lite Full: A Sub-language of OWL 2 Full for Powerful Meta-modeling. The 34th International Workshop on Description Logics (DL), 2021.

8. Zhenzhen Gu, Cungen Cao, Songmao Zhang. An expressive sub-language of OWL 2 Full for domain meta-modeling. The 32nd International Workshop on Description Logics (DL), 2019.

9. Zhenzhen Gu, Songmao Zhang, Cungen Cao. Reflections on: Reasoning and querying web-scale open data based on DL-LiteA in a divide-and-conquer way. The 18th International Semantic Web Conference (ISWC) - Journal Track, 2019.

10. Ya Wang, Zhenzhen Gu*, Yuefei Sui, Cungen Cao. Towards a modeling framework of social contexts, roles and relations for acquiring role-specific rules. The 10th International Conference on Intelligent Information Processing (IIP), 2018. (Corresponding Author)

11. Zhenzhen Gu. Meta-modeling extension of Horn-SROIQ and query answering. The 29th International Workshop on Description Logics (DL), 2016. (EI)

12. Zhenzhen Gu, Songmao Zhang. Querying large and expressive biomedical ontologies. The 17th IEEE International Conference on High Performance Computing and Communications (HPCC), 2015.

Research Projects (Selected)

1. Ganpo Talents Support Program – High-level Overseas Talent Project, Ongoing.

2. Jiangxi Provincial Natural Science Foundation – Youth Fund: Research on Virtual Integration and Access of Big Data based on Virtual Knowledge Graphs and Large Language Models, Ongoing.

3. Corporate Research Project (Horizontal Project): Construction of Pathological Knowledge Graphs, Ongoing.

4. Jiangxi Provincial Key R&D Program: Key Technology Research and Demonstration Application of Security Control Platforms for Financial Big Data Risk Management. (Ongoing, Co-Investigator)

5. European Union Project: Automated End-to-End Data Lifecycle Management for FAIR Data Integration, Processing and Re-use. (2023.01 – 2026.12)

6. European Union H2020 Project: Intelligent Open Data Exploration. (Budget: €765,500, 2019.11 – 2023.04)

7. FESR Project: Data Integration for Energy Efficiency. (Budget: €226,393, 2018.10 – 2021.09)

8. National Key R&D Program of China (No. 2017YFB1002300): Big Data-Driven Intelligent Auxiliary Diagnosis System for Traditional Chinese Medicine. (Budget: ¥17.94 Million, 2018.01 – 2021.07)

9. National Key R&D Program of China (No. 2017YFC1700300): Systematic Research on Key Technologies and Application Platforms for the Inheritance of Clinical Experience of Renowned TCM Practitioners. (Budget: ¥9.22 Million, 2017.01 – 2021.12)

10. National Key R&D Program of China (No. 2016YFB1000902): Research on Knowledge Evolution Laws Based on Provenance and Evaluation Theory. (Budget: ¥8.55 Million, 2016.07 – 2020.12)

11. Beijing Institute of City Planning and Design: Knowledge Management and Collaborative Work in Urban Planning. (Budget: ¥150,000, 2011.06 – 2013.06)

Authorized Invention Patents

1. A Forensic Method and System Based on Virtual Knowledge Graphs and Big Data, 2025.06, China, ZL 2024 1 1676050.1.

2. A Multi-institutional Collaborative Supervision and Filtering Method and System, 2025.03, China, ZL 2024 1 1795338.0.

3. A Monitoring Data Screening Method and System, 2025.03, China, ZL 2024 1 1793947.2.

4. A k-anonymous Trajectory Completion Method and System, 2024.08, China, ZL 2024 1 0692150.7.

Honors and Awards

1. Best Research Paper Award (Ranked 1st), The 11th International Joint Conference on Knowledge Graphs (IJCKG 2022), 2022.

2. Jiangxi Province's outstanding talents, 2024.

Student Recruitment

We are seeking highly motivated senior undergraduate and master’s students interested in research on Knowledge Graphs, Large Language Models (LLMs), and Big Data. Interested candidates are encouraged to send their CV to: zhenzhen.gu@ncu.edu.cn.