Siyuan Liu
AI Researcher | Multimodal Specialist
The Hong Kong Polytechnic University
About
Specialization
AI Engineer specializing in machine learning with focus on NLP and computer vision.
Current Focus
Making AI systems more interpretable and accessible.
Skills
Technical
Python
PyTorch
TensorFlow
NLP
Computer Vision
LLMs
Research
Multimodal AI
Benchmarking
Dataset Creation
Medical AI
Spatial Reasoning
Qualifications
Academic Qualifications
- 2027 (expected), BSc in Computing and AI, The Hong Kong Polytechnic University
- Jun.–Aug. 2025, Summer School Program in Computer Science, Stanford University
Work Experience
- 2025-Present, Research Assistant, ReaLLM‑Labs, PolyU
- 2024-Present, Undergraduate Researcher, RAIDS Lab, PolyU
- 2024, Research Intern, NLP Lab, THU (w/ ModelBest Inc.)
- 2023, Research Assistant, HTI Lab, PolyU
Awards
- Talent Development Scholarship – HKSAR Government Scholarship Fund (2025)
- Most Outstanding Academic Achievement Award, PolyU (2024, 2025)
- IEEE BigData 2024 Cup – 1st place (47 teams)
- China International College Students' Innovation Competition National Silver & HK Gold (2024)
Research Focus
Multimodal AI research spanning medical imaging, vision‑language model evaluation, and robotic assembly. Contributions include LEGOBench dataset for VLM spatial reasoning, ReaLLM‑Med‑Eval for medical LLM benchmarking, and cross‑modal sensing algorithms for teleoperated robot hands.
Selected Publications
- Liu Z., et al. (2025). Infi‑Med: Low‑Resource Medical MLLMs with Robust Reasoning Evaluation. arXiv preprint (under review at NeurIPS 2025)
- Zheng S., et al. (2024). Enhancing Suicide Risk Detection with MDF‑FOF. IEEE Big Data
Projects
AI Text Analysis
Scalable NLP pipeline for document classification
Python • TensorFlow • BERT
Medical Imaging AI
Deep learning for X-ray abnormality detection
PyTorch • OpenCV • DICOM
