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.
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.
Yijing Liu*, Shuyu Lin*, Ronald Clark (*equal contribution)
AAAI Conference on Artificial Intelligence Student Abstract, 2020
to be released
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.