Personal Profile

Guolin Shao is an Associate Professor and a Master's Supervisor at Nanchang University. He serves as the Deputy Director of the Jiangxi Provincial Key Laboratory of Data Security Technology, the Deputy Director (on secondment) of the Educational Technology and Teaching Resources Center at Nanchang University. He holds a bachelor's, master's, and doctoral degree from Sichuan University and completed his postdoctoral research at Alibaba Group. Shao is a member of the Jiangxi Computer Society Council, the Jiangxi Urban Safety Informatization Society Council, and serves as a young editorial board member for journals such as Engineering Science and Technology and Frontiers of Data and Computing Development.

In recent years, he has led multiple national and provincial-level projects, including the National Natural Science Foundation of China, the National 242 Information Security Plan Project, the Jiangxi Provincial Key Research and Development Plan Project, the Jiangxi Provincial Natural Science Foundation's Youth Project and General Project, the Jiangxi Provincial Social Science Fund Project, the Open Project of the Key Laboratory of the Ministry of Education, and the Zhejiang Provincial Postdoctoral Preferential Funding Project. His relevant research findings have been applied in significant scenarios such as CNCERT, State Grid, China Unicom, Alipay, and Jiangxi Financial Development Group. He has published over 20 academic papers in top-tier international conferences and journals such as IEEE TIFS and DASFAA, and has applied for 21 patents.

Shao has received several awards, including the "Outstanding Young Teacher Award in Computer Education" at the 5th China IT Education Boao Forum, the Second Prize for Excellent Experimental Teaching Cases in National Computer Courses at the 10th National Conference, the Special/Second Prize for Teaching Achievement at Nanchang University, the titles of "Outstanding Class Advisor," "Outstanding Communist Party Member," and "Outstanding Supervisor for Undergraduate Theses" at Nanchang University. During his graduate studies, he received over ten national and university-level awards, including the "Top Ten Academic Stars" for graduate students at Sichuan University, the Excellent Paper Award at the Conference on Advanced Computing and Defense Technologies, the National Cybersecurity Scholarship from the China Internet Development Foundation in 2016 and 2018 (twice), the 2018 National Scholarship, the Sichuan University Academic Excellence Scholarship (consecutive from 2013 to 2018), the titles of Outstanding Master's and Doctoral Graduate at Sichuan University, and the Outstanding Contribution Award (twice) from the Network and Trustworthy Computing Research Institute at Sichuan University. During his postdoctoral tenure, he received honors such as Alibaba's Outstanding Postdoctoral Fellow, the Best Individual Award, and the Best Team Award at the 2019 Ant Group Campus Recruitment Newcomer Training.

He has long served as a reviewer for internationally renowned SCI journals such as Artificial Intelligence Review, International Journal of Machine Learning and Cybernetics, The Journal of Supercomputing, Journal of King Saud University, IEEE Access, and China Communications.

Academic Positions

• Deputy Director, Jiangxi Provincial Key Laboratory of Data Security Technology

• IEEE Member

• Member, China Computer Federation

• Council Member, Jiangxi Computer Society

• Council Member, Jiangxi Urban Safety Informatization Society

• Young Editorial Board Member, Engineering Science and Technology

• Young Editorial Board Member, Frontiers of Data and Computing Development

Research Interests

• Machine Learning

• Deep Learning

• Cybersecurity

• Data Security

• Financial Business Security

Academic and Work Experience

1. September 2009 - June 2013 Bachelor's Degree in Computer Science and Technology, Sichuan University

2. September 2013 - December 2018 Ph.D. in Computer Science and Technology (Direct Ph.D. Program), Sichuan University

3. April 2019 - January 2022 Postdoctoral Researcher, Alibaba Group Postdoctoral Research Station

4. January 2022 - April 2023 Security Expert, Ant Group's Feigong Security Lab

5. May 2023 - December 2025 Associate Researcher (Master's Supervisor), Department of Cyberspace Security, School of Software, Nanchang University
   

6. December 2025 - Present Associate Professor (Master's Supervisor), Department of Cyberspace Security, School of Software, Nanchang University

Leading Research Projects

1. National Natural Science Foundation of China, 62402205 Research on Adaptive Detection Methods for Network Attacks Based on Multi-scale Spatiotemporal Data Representation Learning, January 2025 - December 2027, 300,000 RMB, Ongoing, Principal Investigator.

2. National Natural Science Foundation of China, 62362049 Research on Self-supervised Pre-training Methods for Network Behavior Semantic Learning, January 2024 - December 2027, 320,000 RMB, Ongoing, Principal Investigator.

3. National 242 Information Security Plan Project, 2024A049 December 2024 - December 2025, 930,000 RMB, Completed, Principal Investigator.

4. Jiangxi Provincial Key Research and Development Plan Project (Young Scientist Project), 20252BCE310020 Research and Demonstration Application of Key Technologies for Intelligent Network Behavior Identification and Threat Detection, March 2025 - December 2027, 1,200,000 RMB, Ongoing, Second Principal Investigator.

5. Jiangxi Provincial Natural Science Foundation, General Project, 20242BAB25065 Research on Full-link Blockchain Trusted Traceability Technology for Preventing Confidential Document Leaks, July 2024 - June 2027, 100,000 RMB, Ongoing, Principal Investigator.

6. Jiangxi Provincial Natural Science Foundation, Youth Project, 20232BAB212009 Research on Novel Deep Learning Mechanisms for the Small Sample Dilemma in Cybersecurity, July 2023 - June 2026, 100,000 RMB, Ongoing, Principal Investigator.

7. Jiangxi Provincial Social Science Fund Project, 23ZXWX06 Analysis of the Current Development Status of Cybersecurity and Informatization Talents in Jiangxi Province, November 2023 - April 2024, 30,000 RMB, Completed, Principal Investigator.

8. Open Project of the Key Laboratory of the Ministry of Education on Data Security Protection and Intelligent Governance, SCUSAKFKT202307Y Research on Key Technologies for Full-link Data Flow Tracking and Trusted Traceability, October 2023 - September 2025, 40,000 RMB, Ongoing, Principal Investigator.

9. Zhejiang Provincial Postdoctoral Preferential Funding Project, ZJ2020056 Analysis and Application of Social Risk Behaviors Behind Capital Flows on Big Data-based Third-Party Payment Platforms, April 2019 - December 2021, 50,000 RMB, Completed, Principal Investigator.

Participating Research Projects

1. National Natural Science Foundation, Regional Project, 62266032 Research on Streaming Dynamic Knowledge Measurement and Reasoning Based on Three-Way Decisions, January 2023 - December 2026, 340,000 RMB, Ongoing, Participant (Ranked Second).

2. Jiangxi Provincial Leading Talents Cultivation Plan for Major Disciplines, Academic and Technological Leaders Project, 20225BCJ22016 Research and Development of AI-assisted Medical Technologies Based on Medical Consortium Big Data, January 2022 - December 2024, 5,000,000 RMB, Ongoing, Participant (Ranked Third).

3. Jiangxi Provincial Key Research and Development Project (Open Competition), 20243BBG71035 Development and Demonstration Application of a Security Control Platform for Financial Big Data Risk Control, January 2025 - December 2027, 1,200,000 RMB, Ongoing, Participant.

Published Papers

1. Shao G, Chen X, Zeng X, et al. Deep Learning Hierarchical Representation From Heterogeneous Flow-Level Communication Data[J]. IEEE Transactions on Information Forensics and Security, 2020, 15:1525-1540. (CCF A, JCR Q1)

2. Sheng Z, Xu Z, Rao H, Shao G*. Self-optimized fuzzy comprehensive evaluation for real-world webrobot detection[J]. Applied Soft Computing, 2025: 113481. (JCR Q1)

3. Shao G, Lu Y, Rao H, et al. Enhanced Communication Behavior Recognition in Small Sample Contexts via Multicenter Domain Adaptation[J]. Tsinghua Science and Technology, 2025

4. Shao G, Xu Z, He X, et al. Novel UGA Homologous URL Recognition in Real-World Financial Cybercrimes: Self-supervised Deep Learning of URL Semantics[100]//International Conference on Database Systems for Advanced Applications. Singapore: Springer Nature Singapore, 2024: 300-312. (CCF B)

5. Shao G, Chen X, Zeng X, et al. Labeling malicious communication samples based on semi-supervised deep neural network[J]. China Communications, 2019, 16(11):183-200. (Excellent Paper Award)

6. Chen Y, Pang B, Shao G*, et al. DGA-Based Botnet Detection Toward Imbalanced Multiclass Learning[J]. Tsinghua Science and Technology, 2021, 26(4):387-402.

7. Shao G, Chen X, Yin X, et al. A fuzzy detection approach toward different speed port scan attacks based on Dempster–Shafer evidence theory[J]. Security & Communication Networks, 2016, 9(15):2627-2640. (CCF C)

8. Shao G, Chen X, Yang L. Research and implementation of a high performance parallel computing digital down converter on graphics processing unit[J]. Concurrency & Computation Practice & Experience, 2016, 29(8):e4042. (CCF C)

9. Shao G, Chen X, Zeng X, et al. The Analysis of Malicious Group Based on Suspicious Communication Behavior Aggregation[J]. Springer, Singapore, 2017.

10. Zeng X, Chen X, Shao G, et al. Flow Context and Host Behavior Based ShadowSocks's Traffic Identification[J]. IEEE Access, 2019, 7:41017-41032.

11. Zeng X, Chen X, Shao G, et al. DTA-HOC: Online HTTPS traffic service identification using DNS in large-scale networks[J]. Tsinghua Science & Technology, 2020, 25(2):239-254.

12. Chen L, Chen X, Jiang J, Yin X, Shao G, et al. Research and Practice of Dynamic Network Security Architecture for IaaS Platforms[J]. Tsinghua Science & Technology, 2014, 19(5):496-507.

13. Ye X, Chen X, Wang H, Zeng X, Shao G, et al. An anomalous behavior detection model in cloud computing[J]. Tsinghua Science and Technology, 2016, 21(3):322-332.

14. Ye X, Chen X, Wang H, Liu D, Wang W, Liang G, Shao G. Efficient Feature Extraction Using Apache Spark for Network Behavior Anomaly Detection[J]. Tsinghua Science and Technology, 2018.