Bryan Wong

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I am currently a Ph.D. candidate at the Graduate School of Data Science (GSDS), KAIST, advised by Prof. Mun Yong Yi. I am also an incoming visiting Ph.D. researcher at the Institute for Infocomm Research (I2R), A*STAR, under the supervision of Dr. Xun Xu.

I am grateful to be a recipient of the A*STAR Research Attachment Programme (ARAP), which supports my research for 14 months at I2R, A*STAR.

My recent research focuses on multimodal AI in the medical domain, especially VLMs, multimodal LLMs, and agentic AI for gigapixel medical images. I am also fortunate to collaborate closely with Dr. Huazhu Fu at IHPC, A*STAR.

news

Feb 2026 Awarded the A*STAR Research Attachment Programme (ARAP) to support my 14-month visiting Ph.D. research (Jun. 2026-Aug. 2027), under the supervision of Dr. Xun Xu!
Jan 2026 Awarded the Outstanding Award (Best Runner-up) from the Graduate School of Data Science (GSDS), KAIST, based on the 2025 annual research performance evaluation!
Dec 2025 Attending and presenting HiVE-MIL at NeurIPS 2025 in San Diego, California, USA :us:
Nov 2025 Awarded the Daewoong Foundation Global Scholarship Program (Nov. 2025-Feb. 2026), supporting outstanding international students in South Korea!
Sep 2025 One paper (HiVE-MIL) has been accepted at NeurIPS 2025!
Sep 2025 Attending and presenting MicroMIL at MICCAI 2025 in Daejeon, South Korea :kr:
Aug 2025 One paper (LOKT) has been accepted at EMNLP Findings 2025!
Aug 2025 One paper (MF2Vec) has been accepted at CIKM 2025!
Jul 2025 Selected as a student volunteer at MICCAI 2025, held in Daejeon, South Korea, from Sept 23 to 27, 2025.
Jun 2025 One paper (MicroMIL) has been accepted at MICCAI 2025!
May 2025 New preprint: Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling.
Jan 2025 One paper (RMTS) has been accepted at NAACL Findings 2025!
Jan 2025 Two papers (Rethinking MIL FE and Time Series MIL) have been accepted at IEEE ISBI 2025!
Jan 2024 A paper on predicted-loss active learning has been accepted at BMC Medical Imaging!
Aug 2023 Started the Ph.D. program at the Graduate School of Data Science (GSDS), KAIST.
Jun 2023 Successfully defended my Master’s thesis!
Jun 2022 A paper on gender pay-gap analysis has been accepted at IC2S2 2022 and KCC 2022!
Aug 2021 Started the M.S. program at the Graduate School of Data Science (GSDS), KAIST.
Jun 2021 Graduated one year early with a B.S. in Computer Science from NTUST! :taiwan: