01
Deepfake Detection
Understanding and detecting increasingly realistic synthetic media, with an emphasis on cross-domain generalization and data-centric learning.
PhD Student · The Hong Kong Polytechnic University
Wentang Song
Building reliable AI systems for trustworthy media and medical intelligence.
I am a first-year PhD student at The Hong Kong Polytechnic University (PolyU). Before joining PolyU, I received my bachelor's and master's degrees from Shenzhen University (SZU). My research interests span Deepfake Detection, Large Language Models, and AI for Medicine.
WS
Currently
First-year PhD
Previously
B.Sc. & M.Sc.
01
About Me
I am currently a first-year PhD student at The Hong Kong Polytechnic University. Prior to this, I studied at Shenzhen University, where I completed both my undergraduate and master's education.
I am interested in developing AI methods that are robust, generalizable, and useful in real-world settings. My current research directions include trustworthy visual intelligence, foundation models, and medical AI.
01Deepfake DetectionGeneralization · Forensics · Trustworthy AI
02Large Language ModelsReasoning · Foundation Models · AI Agents
03AI4MedicalMedical Imaging · Segmentation · Clinical AI
02
Research
02
Large Language Models
Exploring how LLMs and foundation models can support intelligent perception, reasoning, and trustworthy AI applications.
03
AI4Medical
Developing computer vision and multimodal learning methods for medical imaging, with a focus on robust and clinically meaningful AI.
03
Selected Publications
A selection of my research. For the complete and most up-to-date list, please visit Google Scholar.
2026
2024
2024
2024
04
Education
2026 — Present
The Hong Kong Polytechnic University
PhD Student
Before 2026
Shenzhen University
Master's Degree
Before Master's
Shenzhen University
Bachelor's Degree
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