Professor

Jaehong Yoon

Jaehong Yoon

Assistant Professor
Adaptive Machine Intelligence Lab @ NTU Singapore

Jaehong Yoon is an Assistant Professor in the College of Computing and Data Science (CCDS) at Nanyang Technological University. Prior to joining NTU, he was a Postdoctoral Research Associate at the University of North Carolina at Chapel Hill, working with Prof. Mohit Bansal. He received his Ph.D. from KAIST, advised by Prof. Sung Ju Hwang.






Postdocs

Yujin Choi

Ph.D., Seoul National University, 2026 B.S., Yonsei University, 2021 Trustworthy AI, Generative AI



Ph.D. Students

Yangfan He

Fall 2026 B.S., University of Minnesota, Twin City, 2025 Trustworthy AI

Yuxuan Fan

Fall 2026 M.S., HKUST-GZ, 2026 Multimodal AI

Gyusik Seo

Fall 2026 B.S., Yonsei University, 2025 Embodied AI, Representation Learning

Jinya Sakurai

Fall 2026 M.S., University of Tokyo, 2026 Diffusion Models

Yirui Qi

Visiting PhD Student (Fall 2026 - Fall 2027) Ph.D.ing, Beihang University, 2023 - Current Multi-Agent Systems



M.S. Students

Yunhao Liu

Fall 2025 B.S., Tsinghua University, 2025 Coding Agents



Interns

  â€˘ Jewoo Park, Undergrad., Sungkyunkwan University, from Fall 2025

  â€˘ Jeongwon Yoo, Undergrad., Yonsei University, from Fall 2025

  â€˘ Hong Phuc Pham, Undergrad., Nanyang Technological University, from Fall 2025 (URECA)

  â€˘ Murali Prithvi Teekaa, Undergrad., Nanyang Technological University, from Fall 2025 (URECA)

  â€˘ Changgyu Boo, Undergrad., Korea University, From Winter 2026




Openings

We are actively recruiting highly self-motivated candidates for PhD positions in the Adaptive Machine Intelligence Lab at NTU Singapore.

Due to the volume of applications, I may not be able to respond to everyone individually. Thank you for your understanding.

Prospective PhD students

Fall 2026 intake

If you are interested in pursuing a PhD under my supervision, I typically expect applicants to have at least one first-authored paper at a top-tier conference in ML, AI, NLP, such as ICML, ICLR, NeurIPS, ICCV, ECCV, CVPR, EMNLP, ACL, or NAACL.

Applicants should also demonstrate a strong background in machine learning and deep learning. I am particularly interested in candidates who are excited about timely and impactful research in CV, NLP, and multimodal AI, including Continual Learning, Embodied AI, World Models, Coding Agents, Medical AI, and Trustworthy AI (not limited to these areas).

Prospective interns

We welcome applications from highly motivated undergraduate or master’s students looking for research internship experience. Ideal candidates have strong programming skills (Python, PyTorch) and solid ML, AI, CV, and/or NLP background.