Soupy twist!

I am Ching Lam, a Year 2 undergraduate from CUHK studying AIST. Since 2019, I have been working with Professor Hongsheng Li at CUHK’s Multimedia Laboratory (MMLab). From 2020 - 2021, I was a research intern at NVIDIA; in 2022, I have been interning with Professor Jiajun Wu at the Stanford AI Lab (SAIL). At present, I am working with Professor Farzan Farnia at CUHK on theoretical machine learning, with a focus on adversarial attacks and robust learning. My idols in work and life are Professor Andrew Zisserman and Hugh Laurie; nothing brings me more joy than A Bit of Fry and Laurie.

Academic Interests

I am fascinated by the intersections between ML and CV, including reconciling the various definitions of “robustness”. I enjoy researching the properties of adversarial attack algorithms (Nash equilibrium, semantic locality, transferability/universality). In the future, I hope to further explore the notion of “robustness” by investigating different kinds of noisy learning (especially label noise, distributional shifts and federated settings).

Future Aspirations

Upon graduation in 2024, I am determined to pursue a PhD in Computer Science in the US/UK, delving deep into CV and ML research. During my PhD studies, I aim hone my instincts as a researcher, developing an intuition for ideas with great potential and the skills necessary to transform ideas into influential research.