Mr Yao Ni

Yao Ni received his Bachelor degree and Master degree from Beijing Institute of Technology (BIT) in July 2016 and July 2019, respectively.

He is currently pursuing a PhD degree at Australian National University (ANU).

image generation, semi-supervised learning, unsupervised learning and few-shot learning.

CAGAN: Consistent Adversarial Training Enhanced GANs
Yao Ni, Dandan Song, Xi Zhang, Hao Wu, Lejian Liao. IJCAI, 2018.

Manifold Learning Benefits GANs
Yao Ni*, Piotr Koniusz*, Richard Hartley, Richard Nock. CVPR 2022.

● Excellent Master Thesis, July 2019, BIT.

● Outstanding Graduate, July 2019, BIT.

● Chinese National Scholarship, Nov 2018. 


Updated:  10 August 2021/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing