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

1 Multi-Sample Interpolation Training Method

less than 1 minute read

Liang, Daojun, Feng Yang, and Xiuping Wang. "Multi-Sample Interpolation Training Method." Proceedings of the 2018 International Conference on Machine Learning Technologies. 2018.

2 WPNets and PWNets: from the perspective of channel fusion

1 minute read

Liang, Daojun, et al. "Wpnets and pwnets: from the perspective of channel fusion." IEEE Access 6 (2018): 34226-34236.

3 Understanding mixup training methods

less than 1 minute read

Liang, Daojun, et al. "Understanding mixup training methods." IEEE Access 6 (2018): 58774-58783.

4 Multi-sample inference network

1 minute read

Liang, Daojun, et al. "Multi‐sample inference network." IET Computer Vision 13.6 (2019): 605-613.

5 Deeply Integrated Convolutional Neural Networks

less than 1 minute read

Liang, Daojun, et al. "Deeply Integrated Convolutional Neural Networks." Journal of Computers 31.1 (2020): 46-56.

6 STeP-UNet: Prediction of Moving and Communication Behaviors of Vehicles

1 minute read

Liang, Daojun, et al. "STeP-UNet: Prediction of Moving and Communication Behaviors of Vehicles." 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall). IEEE, 2021.

Talks

Teaching

Service and leadership

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