Dr. Yinglong Li | Fuzzy Decision | Research Excellence Award

Zhejiang University of Technology | China

Yinglong Li is an associate professor in the school of computer science and technology at Zhejiang University of Technology, specializing in intelligent privacy protection, deep learning, computer vision, and fuzzy intelligence. He earned his Ph.d. in computer science from Renmin university of China and previously served as a senior lecturer at the University of Bristol. As an active researcher, he has authored more than 20 high-quality papers in leading journals and conferences such as IEEE TFS, IEEE TVT, fuzzy set syst, ieee iwqos, ieee mass, fuzzy decision and applied soft computing. His academic impact is reflected in 211 citations, documented in 204 citing documents, along with 33 published documents and an h-index of 7. he has completed or is undertaking nine research projects, published ten patents. With industry collaborations including Ningbo Bodao Co., Ltd. On marine ai systems and China mobile Hangzhou research institute on privacy-preserving surveillance, his work bridges academic innovation and real-world application. He is also a member of IEEE, ACM, and CCF, actively contributing as a journal reviewer and mentor to graduate researchers.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Chen, T., Jiang, Q., Li, Y., Chen, T., & Li, J. (2025). Privacy-aware edge intelligent parking recommendation using intuitionistic fuzzy sets. IEEE Transactions on Industrial Informatics.

Li, Y., Chen, T., Li, J., Liu, W., & Chen, T. (2025). QoS-aware fuzzy decision-based data forwarding in edge-centric vehicular networks. Applied Soft Computing.

Chen, T., Tian, X., Li, Y., Jiang, Q., & Liu, Z. (2024). FuzzyFollow: A novel privacy-aware intelligent vehicle-following scheme for safe driving on risky roads using fuzzy sets. In 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD).

Li, Y., Huang, Z., Chen, T., Xu, X., Liu, W., & Lv, M. (2023). TCFP: A novel privacy-aware edge vehicular trajectory compression scheme using fuzzy Markovian prediction. In 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Li, Y., Meng, D., Xu, X., Chen, T., Li, Y., Wang, T., & Li, Y. (2023). fuzzyForward: A novel multi-hop data forwarding scheme using fuzzy decision for edge VANETs. In 2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM).

Mr. Chenglong Xu | Computer Science and Technology | Editorial Board Member

China University of Mining and Technology | China

Mr. Xu Chenglong, born in Weifang, Shandong, is currently pursuing his master’s degree in information and communication engineering at the China university of mining and technology, with an expected graduation. His research interests focus on computer vision, particularly human behaviour recognition, human pose estimation, and video understanding. He has developed strong foundations in artificial intelligence, machine learning, computer science and technology, digital image processing, graph theory, matrix theory, and probability theory. During his postgraduate studies, he has contributed to forty-four sci papers, including one published at a top-tier ccf a-level ai conference and several under review in cas q1 and q2 journals. He demonstrates excellent english proficiency, independent scientific research ability, and programming skills, especially in python. Previously, he completed his undergraduate studies in communication engineering at the shandong university of science and technology, where he earned multiple scholarships and competition honours. His scholarly impact includes 10 documents, 2 documents, and an h-index of 1.

Profile: Scopus