Siyu Huang

Siyu Huang is an Assistant Professor in the School of Computing at Clemson University, leading the Vision and Learning Lab (ViL). His research focuses on 2D/3D vision, generative models, and data-efficient learning with applications in biomedical and AI-driven systems. Huang holds a Ph.D. from Zhejiang University (2014–2019), a visiting scholar position at Carnegie Mellon University (2018–2019), and prior industry experience at Baidu Research and Harvard University's Visual Computing Group. He teaches advanced courses like Machine Learning-based Image Synthesis and Applied Computer Vision.

Education:

• Ph.D., Information Science & Electronic Engineering, Zhejiang University (2014–2019)
• Visiting Scholar, Carnegie Mellon University (2018–2019)
• Bachelor's, Zhejiang University (2010–2014)

Research Interests: Generative AI, 3D reconstruction, biomedical image analysis, and scalable unpaired translation. His work bridges vision and generative models for small-data scenarios.

Publications: Over 30+ peer-reviewed papers in top venues like CVPR, ICCV, ICLR, and TPAMI, focusing on generative models, active learning, and medical imaging.

Awards: Includes Baidu Research’s Outstanding Research Award (2020), ACM MM Travel Award (2018), and multiple scholarships from China’s Ministry of Education.

Lab & Team: The ViL lab emphasizes interdisciplinary research, with current students focusing on 3D vision and generative models. Collaborations include Harvard, NTU, and industry partnerships.