Zhongfeng Kang

Political Affiliation: Member of the Communist Party of China (CPC)
Academic Title: Associate Professor, Master’s Supervisor
Affiliated Institution: Institute of Computer Application Technology
Office Address: Room 412, Feiyun Building
Educational Background
2017.09-2022.06 Ph.D. in Engineering, Computer Science and Technology, University of Electronic Science and Technology of China
2020.12-2022.06 Joint Ph.D. Program, Computer Science, University of Copenhagen
Professional Experience
2023.07-Present Associate Professor, School of Information Science and Engineering, Lanzhou University
2022.06-2023.06 Postdoctoral Researcher, Department of Computer Science, University of Copenhagen
2021.01-2022.06 Research Assistant, Department of Computer Science, University of Copenhagen
Research Interests
- Machine Learning
- Computer Vision
- Biomedical Image Analysis
Projects
- “Research on SAF-based Recommendation Model for Online Learning” (Grant No. 61977013), General Program of the National Natural Science Foundation of China, 500,000 RMB, 2020.01-2023.12, Principal Researcher, Ongoing
- “Research on Recommendation System in Online Education Platform Based on Gradient Boosting Deep Forest” (Grant No. 2019YJ0164), Sichuan Provincial Department of Science and Technology, 100,000 RMB, 2019.01-2021.01, Principal Researcher, Completed
- “Research on Key Technologies for Intelligent Push of Public Service Policies and Development of Prototype System” (Grant No. 190241), CETC Big Data Research and Engineering Corporation, 750,000 RMB, 2019.05-2020.10, Principal Researcher, Completed
Publications (Papers and Books)
More than 10 SCI/EI-indexed papers published. Selected publications in the past five years:
[1] Zhongfeng Kang, Mads Nielsen, Bo Yang, Mostafa Mehdipour Ghazi. Partial feedback online transfer learning with multiple source domains. Information Fusion, vol. 89, pp. 29-40, 2023. DOI: 10.1016/j.inffus.2022.07.025 (CAS Region 1, Top Journal, IF: 18.6)
[2] Zhongfeng Kang, Mads Nielsen, Bo Yang, Lihui Deng, Stephan Sloth Lorenzen. Online transfer learning with partial feedback. Expert Systems with Applications, vol. 212, Article No. 118738, 2023. DOI: 10.1016/j.eswa.2022.118738 (CAS Region 1, Top Journal, IF: 8.665)
[3] Zhongfeng Kang, Bo Yang, Zesong Li, Peng Wang. OTLAMC: An online transfer learning algorithm for multi-class classification. Knowledge-Based Systems, vol. 176, pp. 133-146, 2019. DOI: 10.1016/j.knosys.2019.03.024 (CAS Region 1, Top Journal, IF: 8.139)
[4] Zhongfeng Kang, Bo Yang, Shantian Yang, Xiaomei Fang, Changjian Zhao. Online transfer learning with multiple source domains for multi-class classification. Knowledge-Based Systems, vol. 190, Article No. 105149, 2020. DOI: 10.1016/j.knosys.2019.105149 (CAS Region 1, Top Journal, IF: 8.139)
[5] Zhongfeng Kang, Bo Yang, Mads Nielsen, Lihui Deng, Shantian Yang. A buffered online transfer learning algorithm with multi-layer networks. Neurocomputing, vol. 488, pp. 581-597, 2022. DOI: 10.1016/j.neucom.2021.11.066 (CAS Region 2, IF: 5.981)
[6] Zhongfeng Kang, Bo Yang. A study of optimal multi-server system configuration with variate deadlines and rental prices in cloud computing. In Proceedings of International Conference on Human Centered Computing (HCC), 2017, Kazan, Russia, pp. 215-231. DOI: 10.1007/978-3-319-74521-3_25
[7] Shantian Yang, Bo Yang, Zheng Zeng, Zhongfeng Kang. Causal inference multi-agent reinforcement learning for traffic signal control. Information Fusion, vol. 94, pp. 243-256, 2023. DOI:10.1016/j.inffus.2023 (CAS Region 1, Top Journal, IF: 18.6)
[8] Lihui Deng, Bo Yang, Zhongfeng Kang, Shantian Yang, Shihu Wu. A noisy label and negative sample robust loss function for DNN-based distant supervised relation extraction. Neural Networks, vol. 139, pp. 358-370, 2021. DOI: 10.1016/j.neunet.2021.03.030 (CAS Region 1, IF: 8.050)
[9] Shantian Yang, Bo Yang, Zhongfeng Kang, Lihui Deng. IHG-MA: Inductive heterogeneous graph multi-agent reinforcement learning for multi-intersection traffic signal control. Neural Networks, vol. 139, pp. 265-277, 2021. DOI: 10.1016/j.neunet.2021.03.015 (CAS Region 1, IF: 8.050)
[10] Zixuan Deng, Yanping Xiang, Zhongfeng Kang. Build complementary models on human feedback for simulation to the real world. Knowledge-Based Systems, vol. 217, Article No. 106854, 2021. DOI: 10.1016/j.knosys.2021.106854 (CAS Region 1, IF: 8.139)
[11] Bo Yang, Jing Chen, Zhongfeng Kang, Dongsheng Li. Memory-aware gated factorization machine for top-N recommendation. Knowledge-Based Systems, vol. 201-202, Article No. 106048, 2020. DOI: 10.1016/j.knosys.2020.106048 (CAS Region 1, IF: 8.139)
[12] Shantian Yang, Bo Yang, Hau-San Wong, Zhongfeng Kang. Cooperative traffic signal control using multi-step return and off-policy asynchronous advantage actor-critic graph algorithm. Knowledge-Based Systems, vol. 183, Article No. 104855, 2019. DOI: 10.1016/j.knosys.2019.07.026 (CAS Region 1, IF: 8.139)
[13] Qinghua Zhao, Yuxuan Lei, Qiang Wang, Zhongfeng Kang, Junfeng Liu. Enhancing text representations separately with entity descriptions. Neurocomputing, vol. 552, Article No. 126511, 2023. DOI: 10.1016/j.neucom.2023.126511 (CAS Region 2, IF: 5.981)
External Cooperation
The research group maintains long-term and sound cooperative relationships with domestic and international research institutions, including the University of Copenhagen, the University of Washington, the University of Electronic Science and Technology of China, SenseTime, Southwestern University of Finance and Economics, Sichuan Agricultural University, and Southwest Petroleum University.
Social Work
Serves as a reviewer for multiple journals, including Information Fusion, IEEE Transactions on Cybernetics, Knowledge-Based Systems, Applied Intelligence, International Journal of Machine Learning and Cybernetics, and Mathematical Biosciences and Engineering.