HE Shengfeng
Full-time Faculty
Associate Professor of Computer Science; College of Graduate Research Studies (CGRS) Faculty Fellow; Lee Kong Chian Fellow
School of Computing and Information Systems
SCIS
Qualification
- PhD, City University of Hong Kong, 2015
Research Advisor/Co-Research Advisor to
Research Areas and Areas of Expertise
Strategic Priorities
HighlightsHE Shengfeng is an internationally recognized computer scientist specializing in generative AI, computer vision, and image processing, with impactful contributions across academia, industry, and research leadership.
Combines methodological innovation in generative and vision models with practical impact in privacy, copyright protection, and interpretable AI; recognized among the world's top 2% scientists; recipient of multiple best paper and teaching awards; leads large-scale funded projects and holds patents in advanced image processing; bridges academic research with real-world applications and industry collaborations.
Focused research areas include Interpretability and robustness of generative models; cross-domain and multimodal visual understanding; 3D scene analysis and reconstruction; efficient and scalable image/video segmentation; human pose estimation; privacy-preserving and copyright-protected AI; creative AI for content generation and editing.
Combines methodological innovation in generative and vision models with practical impact in privacy, copyright protection, and interpretable AI; recognized among the world's top 2% scientists; recipient of multiple best paper and teaching awards; leads large-scale funded projects and holds patents in advanced image processing; bridges academic research with real-world applications and industry collaborations.
Focused research areas include Interpretability and robustness of generative models; cross-domain and multimodal visual understanding; 3D scene analysis and reconstruction; efficient and scalable image/video segmentation; human pose estimation; privacy-preserving and copyright-protected AI; creative AI for content generation and editing.
Areas of Expertise
Visual ComputingGenerative ModelsComputer VisionComputational PhotographyComputer Graphics
Past Awarded Grant
- AntiGen: Safeguarding Artistic and Personal Visual Data from Generative AI, AI Governance Research, AI Singapore, PI: HE Shengfeng, 2023, S$249,999.1
- DenseMan3D: Collision-Aware Multi-Human 3D Reconstruction with Dense Geometry, SMU Internal Grant, Ministry of Education (MOE) Tier 1, PI: HE Shengfeng, 2025, S$150,000
- Towards Interpretable Latent Spaces of Generative Models, SMU Internal Grant, Ministry of Education (MOE) Tier 1, PI: HE Shengfeng, 2023, S$120,000
- Exploring the Interpretability of Generative Networks, Distinguished Young Scholars, Guangdong Natural Science Funds, PI: HE Shengfeng, 2022, CNY1,000,000
- Unstructured Scenes Multi-Robot Scheduling via Unsupervised Image Understanding, International Science and Technology Cooperation Project, Guangdong Natural Science Funds, PI: HE Shengfeng, 2021, CNY500,000
Latest Publications
Showing up to 6 latest publications from the past 5 years.
- Y Xu, W Shao, Y Du, H Zhu, Y Zhou, J Xie, P Luo, S HeInternational Journal of Computer Vision 134 (4), 163, 2026
- J Wang, H Tang, Y Sun, S He, Z LiInternational Journal of Computer Vision 134 (4), 145, 2026
- Y Xu, S He, KYK Wong, P LuoComputational Visual Media, 2026
- Z Yang, Y Du, S He, Y Li, X Li, Y Xu, J Dong, J YangarXiv preprint arXiv:2602.14552, 2026
- H Yu, J Wang, J Yang, K Huang, Y Zhou, F Deng, G Lu, S HePattern Recognition 170, 111931, 2026
- H Tang, Y Liu, S Yan, F Shen, S He, J QinarXiv preprint arXiv:2601.08476, 2026
This highlights are AI-generated content using the faculty's CV.
Qualification
- PhD, City University of Hong Kong, 2015