Arjun Rao

I am a third-year undergraduate student at The Chinese University of Hong Kong majoring in Financial Technology and Data Analytics.

I am interested in adversarial robustness in deep learning with a focus on how natural or adversarial data shifts can affect generalization and loss landscapes. I am also interested in studying how robustness can create better representations in neural networks.

As of September 2020, I am working at the Chinese University of Hong Kong as an Undergraduate Research Intern under Professor Bei Yu, where our work includes studying stereo vision from an adversarial robustness perspective.

I’ve worked as a research intern at Asiabots, where I was tasked with work on latent-space comprehension in Variational Autoencoders applied to Asiabot’s Voice AI department. I had my first exposure to research at LSCM R&D Centre during my undergraduate freshman year where I learnt about sequence models for neural machine translation.