I am currently a PhD student at University of Oxford, working to decipher the secret recipe of artificial intelligence.
Outside research, I teach, travel and hunt for good restaurants.
I also care very much about the environment and would love to promote diversity & equality in our society.
Yijing Liu*, Shuyu Lin*, Ronald Clark (*equal contribution)
AAAI Conference on Artificial Intelligence Student Abstract, 2020
We introduce a novel consistency loss that directly requires the encoding of the reconstructed data point to match the encoding of the original data, leading to better representations.
Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen Roberts
International Conference on Learning Representations (ICLR) Deep Generative Models Workshop, 2019
We consider an auto-encoding process w.r.t. the entire dataset, instead of a sample-wise auto-encoding process. We demonstrate that the representation (latent embedding) learnt under such procedure has enhanced reconstruction quality.