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.
Hard work beats talent when talent doesn't work hard.
Xing Zhao,
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,
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,
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.
Scene Classification in Indoor Environments for Robots using Word Embeddings
in ICRA Workshop on Multimodal Robot Perception, 2018.
pdf
 
York University, Toronto
Lassonde School of Engineering
Department of Electrical Engineering and Computer Science
Thesis:
Elastic Synchronization for Efficient and Effective Distributed Deep Learning
York University, Toronto
Lassonde School of Engineering
Department of Electrical Engineering and Computer Science
Big Data Research, Analytics, and Information Network (BRAIN)
Developed Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning
Toronto, Canada
Data Mining Lab, York University
Developed A utility-based news recommendation system
Toronto, Canada
TA of
EECS 1022 -
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EECS 1021 -
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MATH 1019 -
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EECS 2031 -
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EECS 1012 -
IEEE ICDM 2019
Lassonde School of Engineering, York University
Lassonde School of Engineering, York University