CV

Education

• B.S. in GitHub, GitHub University, 2012
• M.S. in Jekyll, GitHub University, 2014
• Ph.D in Version Control Theory, GitHub University, 2018 (expected)

Work experience

• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Where to go? Predicting next location in IoT environment

Lin, Hao, et al. "Where to go? Predicting next location in IoT environment." Frontiers of Computer Science 15.1 (2020): 1-13.

Matching Neural Network for Extreme Multi-Label Learning

Zhao, Zhiyun, et al. "Matching Neural Network for Extreme Multi-Label Learning." Journal of Physics: Conference Series. Vol. 1642. No. 1. IOP Publishing, 2020.

BoostXML: Gradient Boosting for Extreme Multi-Label Learning with Tail Labels

Modeling Evolution on Temporal Graphs via Continuous Neighbors Aggregation

Talks

Talk 1 on Relevant Topic in Your Field

March 01, 2012

Talk at UC San Francisco, Department of Testing, San Francisco, California

Tutorial 1 on Relevant Topic in Your Field

March 01, 2013

Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA

Talk 2 on Relevant Topic in Your Field

February 01, 2014

Talk at London School of Testing, London, UK

Conference Proceeding talk 3 on Relevant Topic in Your Field

March 01, 2014

Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA

Teaching

Teaching experience 1

Teaching experience 2

Service and leadership

• Currently signed in to 43 different slack teams