Hao Huang has expertise in fraud detection, early warning/anomaly detection, time series data analysis and learning, online/streaming data learning including concept drift and change point detection. Hao Huang received his Ph.D. and Masters degree from Stony Brook University. His Bachelor's degree was received at Sun Yat-sen University, China.
The more I learn, the more I realize how much I don't know. –Socrates
Yoo, S., Huang, H. and Kasiviswanathan, S.P., 2016, May. Streaming spectral clustering. In Data Engineering (ICDE), 2016 IEEE 32nd International Conference on (pp. 637-648). IEEE.
Huang, H. and Kasiviswanathan, S.P., 2015. Streaming anomaly detection using randomized matrix sketching. Proceedings of the VLDB Endowment, 9(3), pp.192-203.