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Qi Xia

Department of Computer Science
McGlothlin-Street Hall
College of William and Mary
Williamsburg, VA 23185-8795

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.

2012-2016

B.S. in Statistics, University of Science and Technology of China

2016-Now

The College of William and Mary

June 2020 - Aug. 2020

Machine learning engineer intern in LinkedIn Ads AI team, Sunnyvale, CA

Built an auto bidding system for LinkedIn Audience Network.

Aug. 2019

IJCAI 19 in Macau, China

Present FABA: An Algorithm for Fast Aggregation against Byzantine Attacks in Distributed Neural Networks.

May 2019 - Aug. 2019

Software engineer intern in Uber AdTech Targeting team, Palo Alto, CA

Built an uplift random forest model on spark for advertisement targeting.

Oct. 2018

SEC 18 in Bellevue, WA

Present A Privacy-Preserving Deep Learning Approach for Face Recognition with Edge Computing.

Aug. 2018 - May. 2019

William and Mary

Teaching Assistant for Algorithms.

Jul. 2018

HotEdge 18 in Boston, MA

Present eSGD: Communication Efficient Distributed Deep Learning on the Edge.

Sep. 2016 - May 2018

William and Mary

Teaching Assistant for Discrete Structure.

Aug. 2015 - Feb. 2016

University of Science and Techonology of China

Teaching Assistant for Computational Methods.

Jul. 2015 - Aug. 2016

Hong Kong University of Science and Technology

Research Intern

Feb. 2015 - Jun. 2015

University of Science and Technology of China

Teaching Assitant for Linear Algebra.

Mar. 2021

A Survey of Federated Learning for Edge Computing: Research Problems and Solutions

Qi Xia, Winson Ye, Zeyi Tao, Jindi Wu, Qun Li (High-Confidence Computing)

Feb. 2021

Privacy Issues in Edge Computing

Qi Xia, Zeyi Tao, Qun Li (Fog/Edge Computing For Security, Privacy, and Applications, Springer)

Oct. 2020

Defenses against Byzantine Attacks in Distributed Deep Neural Networks

Qi Xia, Zeyi Tao, Qun Li (Transactions on Network Science and Engineering)

Aug. 2019

FABA: An Algorithm for Fast Aggregation against Byzantine Attacks in Deep Neural Networks

Qi Xia, Zeyi Tao, Zijiang Hao, Qun Li (2019 International Joint Conferences on Artificial Intelligence)

July, 2019

A Survey of Virtual Machine Management in Edge Computing

Zeyi Tao, Qi Xia, Zijiang Hao, Cheng Li, Lele Ma, Shanhe Yi, Qun Li (Proceedings of the IEEE)

Defending Byzantine Attacks in Heterogeneous Distributed Machine Learning

Under submission

CE-SGD: Communication-Efficient Deep Learning Training in Edge Computing

Under submission

C/C++
Python
PyTorch
Scala
Spark
Matlab
Mathematica
Java
HTML
JavaScript
LaTeX
R
Unix