Li Xinke
Scholar

Li Xinke

Google Scholar ID: l4LPBs0AAAAJ
City University of Hong Kong
Deep Learning3D VisionGeometry Learning
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Citations & Impact
All-time
Citations
420
 
H-index
7
 
i10-index
5
 
Publications
15
 
Co-authors
0
 
Contact
Emailxinkeli@cityu.edu.hkGitHubOpen ↗LinkedInOpen ↗
Publications
15 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
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
Co-authors
0 total
Co-authors: 0 (list not available)