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

A genetic algorithm enabled similarity-based attack on cancellable biometrics

Dong, Xingbo, Zhe Jin, and Andrew Teoh Beng Jin. "A genetic algorithm enabled similarity-based attack on cancellable biometrics." In 2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS), pp. 1-8. IEEE, 2019.

Open-set face identification with index-of-max hashing by learning

Dong, Xingbo, Soohyung Kim, Zhe Jin, Jung Yeon Hwang, Sangrae Cho, and Andrew Beng Jin Teoh. "Open-set face identification with index-of-max hashing by learning." Pattern Recognition 103 (2020): 107277.

Towards Generating High Definition Face Images from Deep Templates

Dong, Xingbo, Zhe Jin, Zhenhua Guo, and Andrew Beng Jin Teoh. "Towards Generating High Definition Face Images from Deep Templates." In 2021 International Conference of the Biometrics Special Interest Group (BIOSIG), pp. 1-11. IEEE, 2021.

Recurring the Transformer for Video Action Recognition

Jiewen Yang, Xingbo Dong, Liujun Liu, Chao Zhang, Jiajun Shen,Dahai Yu. "Recurring the Transformer for Video Action Recognition". In CVPR 2022 : IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Abandoning the Bayer-Filter to See in the Dark

Xingbo Dong*, Wanyan Xu*, Zhihui Miao, Lan Ma, Chao Zhang, Jiewen Yang, Zhe Jin, Andrew Beng Jin Teoh, Jiajun Shen, "Abandoning the Bayer-Filter to See in the Dark". In CVPR 2022 : IEEE/CVF Conference on Computer Vision and Pattern Recognition.