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.