B.S. in Computer Science and Technology
Jilin University, Jilin, China

M.S. in Computer Application
Jilin University, Jilin, China

Ph.D. in Computer Science
University of Arkansas at Little Rock, AR, USA

OBJ ORIENTED ANAL & DESIGN

COMPUTER PROGRAMMING

Prof. Zhao Yue was born in 1982 with his PhD degree in computer science received from University of Arkansas - Little Rock in 2015. Prof. Zhao Yue joined the Department of Computer Science at Wenzhou Kean University in February 2024 as an assistant professor. Previously, He worked at the National Institutes of Health (NIH) in the United States, the School of Computer Engineering and Science at Shanghai University, and the School of Software at Northwestern Polytechnical University, respectively. His research focuses on big data analysis, distributed computing, and bioinformatics, etc. In recent years, He has worked as Principal Investigator (PI) in a couple of scientific research fundings, such as a construction project of the Ministry of Education's industry university collaborative education joint laboratory, a Shanghai excellent young teacher funding project, a Northwest Polytechnical University Taicang Yangze River Delta Research Institutes' major project, a horizontal project commissioned by enterprise. As the first/corresponding author Prof. Zhao Yue has published 10+ papers in important journals and international conferences in his field such as Information Sciences, IEEE Transactions on Big Data, IEEE Transactions on Consumer Electronics, IEEE Journal of Biomedical and Health Informatics, AJP Renal, etc.

Yue’s research focuses on Big data analytics, Bioinformatics, Medical informatics

Zhao, Yin-Ping, Xiangfeng Dai, Yongyong Chen, Chuanbin Zhang, Long Chen, and Yue Zhao*. "Bilevel fuzzy clustering via adaptive similarity graphs fusion." Information Sciences (2024): 120281.

Farhan Ullah, Gautam Srivastava, Shamsher Ullah, Kenji Yoshigoe, and Yue Zhao* "NIDS-VSB: Network intrusion detection system for VANET using spark-based big data optimization and transfer learning" IEEE Transactions on Consumer Electronics. SCI Indexed. (Q1, IF=4.305) 2023. (overall acceptance rate = 15%)

Farhan Ullah, Gautam Srivastava, Jerry Chun-Wei Lin, and Yue Zhao* "A Scalable Federated Learning Approach for Collaborative Smart Healthcare System with Intermittent Clients using Medical Imaging", IEEE Journal of Biomedical and Health Informatics. SCI Indexed. (Q1, IF=7.021) 2023. DOI: 10.1109/JBHI.2023.3282955

Li X, Zhao Y (co-first author), Zhao C. Applications of Capillary Action in Drug Delivery[J]. iScience (series of Cell), SCI Indexed. (Q1, IF=6.107) 2021. https://doi.org/10.1016/j.isci. 2021.102810

Y.Zhao, K. Yoshigoe, J. Bian, M. Xie, Y. Feng, and Z. Xue. “A Distributed Graph-Parallel Computing System with Lightweight Communication Overhead”, IEEE Transactions on Big Data (IEEE TBD). DOI: 10.1109/TBDATA.2016.2532907. SCI Indexed. (Q1, IF=4.271) (overall acceptance rate = 12%)

Y. Zhao, C. Yang, V. Raghuram, J. Parulekar, and M. Knepper. "BIG: A large-scale data integration tool for renal physiology", American Journal of Physiology - Renal Physiology (AJP - Renal). DOI: 10.1152/ajprenal.00249.2016. SCI Indexed. (Q1,  IF=4.097)  (overall acceptance rate = 25%)

Y.Zhao, K. Yoshigoe, M. Xie, R. Seker, and J. Bian, “L-PowerGraph: A Lightweight Distributed Graph-Parallel Communication Mechanism” The Journal of Supercomputing (TJSC). SCI Indexed (Q1, IF=2.557) (2018). https://doi.org/10.1007/s11227-018-2359-9 .

Zhao Y, Yoshigoe K, Li H, et al. Reducing the synchronizing communication overhead for distributed graph-parallel computing[J]. Intelligent Data Analysis （IDA）, 2019, 23(2): 313-332. SCI Indexed. (Q1, IF=1.321)

Y. Zhao, K. Yoshigoe, and M. Xie, "Pre-execution Data Prefetching with I/O Scheduling," The Journal of Supercomputing (TJSC),  SCI Indexed. (Q1, IF=2.557) 10.1007/s11227-013-1060-2.