Ph.D. in Computer Engineering, Department of Electrical Engineering and Computer Science,
Case Western Reserve University, 2018
M.S. in Electrical and Computer Engineering, Department of Electrical and Computer
Engineering, Mississippi State University, 2015
B.S. in Information Engineering, School of Telecommunications Engineering, Xidian
University, 2012
Big data analytics, cybersecurity, and networking in cyber physical systems and IoT.
Dr. Liao is currently an Assistant Professor with the Department of Computer and Information Sciences, Towson University. He received the Ph.D. degree in Computer Engineering from Case Western Reserve University, Cleveland, OH, in Aug. 2018, the M.S. degree in Electrical and Computer Engineering from Mississippi State University, Mississippi State, MS, in Dec. 2015, and the B.S. degree in Information Engineering, Xi鈥檃n, China, in Jun. 2012, respectively. His research interests include big data analytics, cybersecurity, and networking in cyber physical systems and IoT.
Weixian Liao, Sergio Salinas, Ming Li, Pan Li, and Kenneth A. Loparo, 鈥淐ascading Failure Attacks in the Power System: A Stochastic Game Perspective,鈥� IEEE Internet of Things Journal, Vol. 4, No. 6, pp. 2247- 2259, Dec. 2017.
Weixian Liao, Changqing Luo, Sergio Salinas, and Pan Li, 鈥淓fficient Secure Outsourcing of Large-scale Separable Programming for Big Data,鈥� to appear in IEEE Transactions on Big Data.
Weixian Liao, Ming Li, Sergio Salinas, Pan Li, and Miao Pan, 鈥淓nergy-Source-Aware Cost Optimization for Green Cellular Networks with Strong Stability鈥�, IEEE Transactions on Emerging Topics in Computing, Vol. 4, No. 4, pp. 541- 555, Dec. 2016.
Yifan Guo, Weixian Liao, Qianlong Wang, Lixing Yu, Tianxi Ji, and Pan Li, 鈥溾�橫ultidi- mensional Time Series Anomaly Detection: A Gaussian Mixture Variational Autoencoder Approach,鈥� Asian Conference on Machine Learning (ACML鈥�18), Beijing, China, Nov. 14- Nov. 16. (Acceptance ratio: 57/230=24.8%)
Weixian Liao, Ming Li, Sergio Salinas, Pan Li, and Miao Pan, 鈥淥ptimal Energy Cost for Strongly Stable Multi-hop Green Cellular Networks鈥�, IEEE International Conference on Dis- tributed Computing Systems (ICDCS鈥�14), Madrid, Spain, June 30- July 3, 2014. (Acceptance ratio: 66/500 = 13%)
