Xing (Shane) Zhao Xing's picture

Electrical Engineering and Computer Science (EECS)
Lassonde School of Engineering
York University

xing[last name][at]eecs[dot]yorku[dot]ca

ABOUT ME

I completed the Master of Science degree at Lassonde School of Engineering, York University (2017 - 2020) under the supervision of Professor Aijun An. My focus was on elastic distributed training for Deep Learning. My current research interests are in the areas of Machine Learning (ML) and its applications on cancer genomics diagnosis and treatment (e.g., early stage cancer detection and precision medicine). I am open to collaboration in the ML research, and currently looking for ML Engineer job opportunities in industries.

Xing's picture
DOWNLOAD CV

Hard work beats talent when talent doesn't work hard.

PUBLICATIONS

Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, and Yonggang Hu
ZipLine: An Optimized Algorithm for Elastic Bulk Synchronous Parallel Model
in Machine Learning, 2021, pp. 1-37, doi: 10.1007/s10994-021-06064-w.
    talk@DSAA'21

Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, and Yonggang Hu
Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning
in 19th IEEE International Conference on Data Mining (ICDM), 2019, pp. 1504-1509. [Acceptance Rate 18.6%]
pdf  

Xing Zhao, Aijun An, Junfeng Liu, and Bao Xin Chen
Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning
in 39th IEEE International Conference on Distributed Computing Systems (ICDCS), 2019, pp. 1507-1517. [Acceptance Rate 19.6%]
pdf  

Morteza Zihayat, Anteneh Ayanso, Xing Zhao, Heidar Davoudi, and Aijun An
A Utility-based News Recommendation System
in Decision Support Systems (Online), Vol. 117, February 2019, pp 14-27.

Bao Xin Chen, Raghavender Sahdev, Dekun Wu, Xing Zhao, Manos Papagelis, and John K. Tsotsos
Scene Classification in Indoor Environments for Robots using Word Embeddings
in ICRA Workshop on Multimodal Robot Perception, 2018.
pdf  



EDUCATION

M.Sc. Computer Science
York University, Toronto
Lassonde School of Engineering
Department of Electrical Engineering and Computer Science
Thesis:
Elastic Synchronization for Efficient and Effective Distributed Deep Learning

OCTOBER 2020

B.Sc., Spec. Hons. Computer Science
York University, Toronto
Lassonde School of Engineering
Department of Electrical Engineering and Computer Science

APRIL 2017



WORK

APRIL 2017 - APRIL 2021
Toronto, Canada

Research Assistant
Data Mining Lab, York University

Worked on news recommendation systems using high utility pattern mining with The Globe and Mail
Developed A utility-based news recommendation system

SEPTEMBER 2015 - APRIL 2017
Toronto, Canada



TEACHING

TA of EECS 1022 - Programming for Mobile Computing

WINTER 2019, York University

TA of EECS 1021 - Object Oriented Programming from Sensors to Actuators

WINTER 2018, York University

TA of MATH 1019 - Discrete Math for Computer Science

FALL 2018 & FALL 2017, York University

TA of EECS 2031 - Software Tools

WINTER 2017, York University

TA of EECS 1012 - Net-Centric Introduction to Computing

FALL 2016, York University



AWARDS

ICDM Student Travel Award, Oral Presentation
IEEE ICDM 2019

NOVEMBER 2019

Top 15% of all students in Lassonde School of Engineering Faculty 2016
Lassonde School of Engineering, York University

2016

Lassonde Undergraduate Research Award 2015
Lassonde School of Engineering, York University

APRIL 2015