Education
Prof. Jinshuo Liu holds an impressive academic background in computer science, which has been instrumental in shaping his research career. He earned his Ph.D. in Computer Software and Theory from Wuhan University, China, in 2006, building on his foundational knowledge and research skills. Prior to that, he completed a Master’s degree in Computer Science from Leiden University, Netherlands, in 2003, where he further honed his expertise in computing theories and applications. Prof. Liu began his academic journey at Wuhan University, where he obtained his Bachelor’s degree in Computer Science in 1997. His academic pursuits also include international experience as a Visiting Associate Professor at the University of Virginia, USA, in 2017, and as a Visiting Scholar at Konkuk University, Korea, in 2012. These experiences have enriched his global perspective and contributed to his leadership in data mining and high-performance computing.
Experience
Prof. Jinshuo Liu has an extensive professional background, with over 27 years at Wuhan University, one of China’s top universities. Currently, he is a Professor in the School of Cyber Science and Engineering, where he leads a specialized research group in web mining. His leadership extends to an international collaboration lab between Wuhan University and the University of Edinburgh, UK, highlighting his role in fostering global research initiatives. Throughout his career, Prof. Liu has led 41 major projects, including three funded by the National Natural Science Foundation of China and three from the National Key Research and Development Program of China. He has also supervised the academic progress of six Ph.D. students and 101 master’s students. His contributions to the field are further underscored by his impressive record of over 50 publications and more than 30 invention patents, which reflect his commitment to advancing research in data mining and high-performance computing.
Research Interests
Prof. Jinshuo Liu’s research interests are centered on data mining and high-performance computing, with a focus on cutting-edge challenges in web mining and information processing. His work involves developing advanced techniques to address complex issues in identity disambiguation, network security, and critical information dissemination within cyberspace. Leading research at the intersection of computing theory and practical application, Prof. Liu also collaborates internationally to explore topics such as entity identification, public opinion monitoring, and efficient parallel computation for large-scale Earth system models. His research aims to innovate solutions for high-impact applications in both cybersecurity and the analysis of large data sets.
Skills
Prof. Jinshuo Liu possesses a robust skill set in advanced data mining, high-performance computing, and cybersecurity. His expertise includes web mining, identity disambiguation, and malicious information tracing, utilizing cutting-edge algorithms and frameworks for efficient data processing. He is highly skilled in developing and applying high-efficiency identification and recovery methods, particularly in areas involving network supervision and public opinion analysis. With significant experience leading national projects, Prof. Liu is adept at managing complex research collaborations, including his leadership role in a collaborative lab between Wuhan University and the University of Edinburgh. His skills extend to fostering innovation in computational methods for large-scale Earth system models, making significant contributions to both national and international projects.
Prof. Jinshuo Liu has received several prestigious awards in recognition of his contributions to research and technology. Notably, he was honored with the China Earthquake Administration Scientific and Technological Achievement Award for Earthquake Prevention and Disaster Reduction, receiving the 2nd Class Award in 2017. In the same year, he was awarded the China State Grid Science and Technology Progress Award, earning the 3rd Prize. These accolades highlight his significant contributions to both the advancement of scientific knowledge and practical applications in critical fields, including cybersecurity and disaster management. Prof. Liu’s recognition underscores his leadership and innovative contributions to technology and research.
Title: Collaborate SLM and LLM with latent answers for event detection
- Authors: Yan, Y., Liu, J., Ji, D., Wang, X., Pan, J.Z.
- Journal: Knowledge-Based Systems
- Volume: 305
- Article Number: 112684
- Year: 2024
- Citations: 0
Title: Construction of Disaster Event Evolutionary Graph Based on Spatiotemporal Relationship
- Authors: Ning, H., Sui, H., Wang, J., Liu, J.
- Journal: Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University
- Volume: 49
- Issue: 5
- Pages: 831–843
- Year: 2024
- Citations: 1
Title: Knowledge-Enhanced Prompt Learning for Few-Shot Text Classification
- Authors: Liu, J., Yang, L.
- Journal: Big Data and Cognitive Computing
- Volume: 8
- Issue: 4
- Article Number: 43
- Year: 2024
- Citations: 0
Title: Intelligent load balancing in data center software-defined networks
- Authors: Gilliard, E., Liu, J., Aliyu, A.A., Jing, H., Wang, M.
- Journal: Transactions on Emerging Telecommunications Technologies
- Volume: 35
- Issue: 4
- Article Number: e4967
- Year: 2024
- Citations: 0
Title: Knowledge graph reasoning for cyber attack detection
- Authors: Gilliard, E., Liu, J., Aliyu, A.A.
- Journal: IET Communications
- Volume: 18
- Issue: 4
- Pages: 297–308
- Year: 2024
- Citations: 2
Title: Inhomogeneous Interest Modeling via Hypergraph Convolutional Networks for Social Recommendation
- Authors: Luo, L., Wang, M., Liu, J., Huang, J.
- Conference: Proceedings of the International Joint Conference on Neural Networks
- Year: 2024
- Citations: 0
- Title: Content-Biased and Style-Assisted Transfer Network for Cross-Scene Hyperspectral Image Classification
- Authors: Shi, Z., Lai, X., Deng, J., Liu, J.
Title: An efficient blockchain-based approach to improve the accuracy of intrusion detection systems
- Authors: Abubakar, A.A., Liu, J., Gilliard, E.
- Journal: Electronics Letters
- Volume: 59
- Issue: 18
- Article Number: e12888
- Year: 2023
- Citations: 2
Conclusion
Prof. Jinshuo Liu’s career reflects a commitment to pioneering research, impactful mentorship, and substantial contributions to technology and society. His leadership in national and collaborative projects, international research ties, numerous publications, and innovation patents underscore his status as a top researcher. Prof. Liu is well-suited for the Top Researcher Award, given his groundbreaking achievements in data mining, high-performance computing, and digital security advancements.