Born in Bengbu, China and raised in Zhumadian, China, Qi Xia received his Bachelor's Degree of Statistics from University of Science and Technology of China in 2016. Now he is pursuing his Ph.D Degree of Computer Science in The College of William and Mary advised by Prof. Qun Li.
B.S. in Statistics, University of Science and Technology of China
Ph.D. in Computer Science, The College of William and Mary
Auto-placement.
Built an auto bidding system for LinkedIn Audience Network.
Present FABA: An Algorithm for Fast Aggregation against Byzantine Attacks in Distributed Neural Networks.
Built an uplift random forest model on spark for advertisement targeting.
Present A Privacy-Preserving Deep Learning Approach for Face Recognition with Edge Computing.
Teaching Assistant for Algorithms.
Present eSGD: Communication Efficient Distributed Deep Learning on the Edge.
Teaching Assistant for Discrete Structure.
Teaching Assistant for Computational Methods.
Research Intern
Teaching Assitant for Linear Algebra.
Under submission