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’an, 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, “Cascading Failure
Attacks in the Power System: A Stochastic Game Perspective,” IEEE Internet of Things
Journal, Vol. 4, No. 6, pp. 2247- 2259, Dec. 2017.
Weixian Liao, Changqing Luo, Sergio Salinas, and Pan Li, “Efficient Secure Outsourcing
of Large-scale Separable Programming for Big Data,” to appear in IEEE Transactions
on Big Data.
Weixian Liao, Ming Li, Sergio Salinas, Pan Li, and Miao Pan, “Energy-Source-Aware
Cost Optimization for Green Cellular Networks with Strong Stability”, 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, “’Multidi-
mensional Time Series Anomaly Detection: A Gaussian Mixture Variational Autoencoder
Approach,” Asian Conference on Machine Learning (ACML’18), Beijing, China, Nov. 14-
Nov. 16. (Acceptance ratio: 57/230=24.8%)
Weixian Liao, Ming Li, Sergio Salinas, Pan Li, and Miao Pan, “Optimal Energy Cost
for Strongly Stable Multi-hop Green Cellular Networks”, IEEE International Conference
on Dis- tributed Computing Systems (ICDCS’14), Madrid, Spain, June 30- July 3, 2014.
(Acceptance ratio: 66/500 = 13%)