Jaedong Hwang

About

I am a PhD student at MIT EECS advised by Ila Fiete. I recently graduated from Seoul National University where I had a wonderful experience with Bohyung Han. From June 2020 to March 2021, I did an internship at Adobe Research under the guidance of Joon-Young Lee and Seoung Wug Oh. During undergraduate study, I worked as a research intern at the lab and T-Brain. I also have spent great time with Joseph Lim at the University of Southern California and Byoung-Tak Zhang at BioIntelligence Lab, SNU.

My research interests align with understanding intrinsic motivation for human learning and answering the question, "How humans can learn from small amounts of data or coarse data such as noisy or weak-labeled data and why machines cannot?" My goal is to reduce the gap between human and machine intelligence by deeply understanding human intelligence and to build robust machines for these coarse data insipired by neuroscience and cognitive science. Shortly, I am interested in these fields:

• Computer Vision: weakly-/self-supervised learning, open-set/long-tailed recognition
• Reinforcement Learning: exploration, dynamics randomization
• Psychology: curiosity, intuitive concepts (e.g., intuitive physics), child development
• Neuroscience: spatial memory, visual pathway, procedural memory

I am participating in MIT EECS GAAP (The Graduate Application Assistance Program)! Feel free to apply it. The deadline is November 15th.

I wrote personal notes about how I applied for graduate school written in Korean. Note that the note was written in 2021 and never updated (it can be wrong)!