Yihang SU

PhD Student, Information Engineering

Embedded AI & IoT Lab (AIoT Lab)
The Chinese University of Hong Kong

I am a first-year PhD student advised by Prof. Zhenyu Yan and Prof. Guoliang Xing. My research sits at the intersection of multimodal large language models and embedded AI for the Internet of Things — building intelligent systems that sense, reason about, and act in the physical world.

Research Interests

Multimodal LLMs

Evaluating and improving large language models that reason across text, images, and clinical data.

Embedded & Edge AI

Bringing efficient machine intelligence to resource-constrained IoT and sensing devices.

AI for Healthcare

Applying machine learning to medical data mining and trustworthy clinical decision support.

Publications

MobiSys 2026

NunaPin: Automatic Scenario Recognition and Intent Extraction for Wearable Audio First author

Yihang Su, M. Yuan, R. Xie, Z. Yan, Z. Xie, G. Xing

24th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys)

ACM DL
npj Digital Medicine 2026

Interpretable Agentic AI System with Localized Reasoning for Radiology

W. Chen, et al., Yihang Su, et al.

arXiv preprint (RadFabric)
NeurIPS 2026

MedChain: Bridging the Gap Between LLM Agents and Clinical Practice through Interactive Sequential Benchmarking

J. Liu, W. Wang, Z. Ma, G. Huang, Yihang Su, et al.

arXiv / DOI
ACL 2025 · Main Conference

Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models

J. Liu, W. Wang, Yihang Su, et al. (second author)

arXiv / DOI

Education & Experience

Education

2025 – Present

PhD in Information Engineering

The Chinese University of Hong Kong · AIoT Lab

Advised by Prof. Zhenyu Yan and Prof. Guoliang Xing. Fully funded by a Postgraduate Studentship Award.
2021 – 2025

BSc in Computer Science

The Chinese University of Hong Kong

First Class Honors · ELITE Stream student, Faculty of Engineering.

Experience

2023 – 2025

Research Assistant

The Chinese University of Hong Kong

Research on LLMs and medical multimodal AI, collaborating within Prof. Michael R. Lyu's group. Second author of Asclepius (ACL 2025) and co-author of MedChain (NeurIPS 2026). Served as a peer reviewer for the ACL Rolling Review (ARR).
2024

Summer Intern — Curriculum Team

CUHK Jockey Club AI for the Future Project

Developed course materials (code and slides) on advanced AI topics including RAG and prompt engineering; helped run workshops for teachers and students. Best Project Award.

Selected Awards & Scholarships

2023–25 Dean's List (×3)
2024 Summer Research Internship — Best Project Award
2023–25 CW Chu College Scholarship for Academic Excellence (×3)
2022 & 25 Faculty of Engineering Scholarship for ELITE Stream Students (×2)
2023 Yasumoto International Exchange Scholarship
2023 CW Chu College Reaching Out Award

Beyond Research

Selected activities outside the lab.

2023 Exchange Student, University of Leeds, UK (Summer)
2023 Service Volunteer — Aberdeen Kai-Fong Association elderly community center: designed and ran educational workshops.
2022 Voluntary Teacher — Three Heart Voluntary Teaching Club: led a week of classes at a primary school in Ningxia, Mainland China.

Languages: Mandarin (native) · Cantonese (fluent) · English (fluent, IELTS 8.0)