Bryan Wong

Visiting Ph.D. Researcher @ A*STAR IAIC | Ph.D. Candidate @ KAIST

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I am a Ph.D. candidate at the Graduate School of Data Science (GSDS), KAIST, advised by Prof. Mun Yong Yi, and a Visiting Ph.D. Researcher at the Institute of Advanced Intelligence and Computing (IAIC), A*STAR, supervised by Dr. Xun Xu and Dr. Huazhu Fu.

I am grateful to be a recipient of the A*STAR Research Attachment Programme (ARAP) fellowship (June 2026 – Aug 2027), which supports my time at A*STAR IAIC.

My research centers on multimodal AI for gigapixel medical images, including vision-language models, multimodal LLMs, and agentic AI.

news

Aug 2026 New preprint: Beyond Relevance: Bayesian Evidence Acquisition for Agentic Whole-Slide Image Reasoning.
Jun 2026 Moving to begin my A*STAR Research Attachment Programme (ARAP) in Singapore :singapore:!
Jun 2026 One paper (Reasoning Trace Divergence: An Empirical Signal for Trustworthy Black-Box MLLMs in Histopathology Classification) has been accepted at MICCAI 2026!
Feb 2026 Awarded the A*STAR Research Attachment Programme (ARAP) to support my 14.5-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: