Resume
Academic Achievements
- - Published papers in distinguished conferences and journals including CVPR, ICCV, NeurIPS, ACM MM, IJCAI, AAAI, IJCV, IEEE TITS, and IEEE JSTSP
- - Specific papers include:
- - "Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity" (IEEE JSTSP, 2025)
- - "Enhancing Sampling Protocol for Point Cloud Classification Against Corruptions" (IJCAI 2025)
- - "Deep Hierarchical Learning for 3D Semantic Segmentation" (IJCV, 2025)
- - "Pyramid Diffusion for Fine 3D Large Scene Generation" (ECCV 2024, Oral Presentation)
- - "PointCVaR: Risk-optimized Outlier Cleanse for Robust Point Cloud Classification" (AAAI 2024, Oral Presentation)
- - "A Railway Accident Prevention System Using An Intelligent Pilot Vehicle" (IEEE TITS, 2023)
- - "Primitive3D: 3D Object Dataset Synthesis From Randomly Assembled Primitives" (CVPR 2022)
- - "Directed Graph Contrastive Learning" (NeurIPS 2021)
- - "PointBA: Towards Backdoor Attacks in 3D Point Cloud" (ICCV 2021)
- - "Campus3D: A photogrammetry point cloud benchmark for hierarchical understanding of outdoor scene" (ACM MM 2020, Oral Presentation)
Research Experience
- - Research Assistant at IORA, NUS, working on several innovative projects of deep learning visual applications
- - Global Research Assistant Professor at City University of Hong Kong
Education
- - Ph.D.: Faculty of Engineering, National University of Singapore, Supervisor: Prof. Chee Yeow Meng
- - M. Sc: Electrical & Computer Engineering, National University of Singapore
Background
- - Research Interests: Deep Learning on 3D Geometry, Trustworthy AI, Deep Learning for Healthcare
- - Professional Field: Data Science, Computer Vision, Machine Learning
- - Introduction: Global Research Assistant Professor at the College of Computing (Data Science) at City University of Hong Kong
Miscellany
- - Seeking motivated students or postdoctoral researchers to join his research team at CityU