I am Ka Lung Cheung. My research focuses on deep learning for ophthalmology research and building technologies. I have contributed to leading AI conferences, workshops, and journals, as detailed in Publication.
News
- 2024.12: One paper is accepted by Applied Energy.
- 2024.06: Two accepted papers were presnted in The IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop 2024 on Jun 17th, 2024, in Seattle, USA.
- 2024.04: I will be presenting two accepted papers in The IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop 2024 on Jun 17th, 2024, in Seattle, USA.
- 2024.04: One paper (Oral) is accepted by CVPRW 2024.
- 2024.04: One paper (Oral) is accepted by CVPRW 2024.
Publications
1:Co-first authors
*:Corresponding authors
Integrating microclimate modelling with building energy simulation and solar photovoltaic potential estimation: The parametric analysis and optimization of urban design. Chenhang Bian, Ka Lung Cheung, Xi Chen, Chi Cung Lee. Applied Energy.
ARCH2S: Dataset, Benchmark and Challenges for Learning Exterior Architectural Structures from Point Clouds. (Oral) Ka Lung Cheung, Chi Chung Lee. The IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) 2024.
Towards Automating the Retrospective Generation of BIM Models: A Unified Framework for 3D Semantic Reconstruction of the Built Environment. (Oral) Ka Lung Cheung, Chi Chung Lee. The IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) 2024.
Awards,Fellowships & Grants
- 2024, Research Postgraduate Student Grant for Overseas Academic Activities, The Chinese University of Hong Kong
- 2023, Champion, Postgraduate Group, Professor Charles K. Ko Student Creativity Award, The Chinese University of Hong Kong
- 2023, Bronze Medal, International Exhibition of Invention Geneva
- 2023, Gold Award, Chun Wo Innovation Student Awards
- 2023, The Best Business Potential Award , Chun Wo Innovation Student Awards
- 2023, The Best Business Idea Award, YDC Dare to Change Business Pitch Competition, Young Entrepreneurs Development Council
- 2023, Tuition Waiver for Local Research Postgraduate Students, University Grants Committee
Talks & Presentations
- 2024, “3D Architectural Models Dataset, Benchmark and Challenges” (Poster & Oral), Computer Vision in the Built Environment. (CV4AEC-CVPR2024)
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2024, “Automating the Retrospective Generation of BIM Models” (Poster & Oral), Computer Vision in the Built Environment. (CV4AEC-CVPR2024)
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2023, “Drone and AI-Based Digital Platform for Outdoor Built Asset Inspection and Information Management”, 48th Geneva International Exhibition of Inventions, Geneva, Switzerland
- 2023, “Drone and AI-Based Digital Platform for Outdoor Built Asset Inspection and Information Management”, Professor Charles K. Kao Student Creativity Awards, The Chinese University of Hong Kong
Teaching:
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Spring 2023, MAEG 4999 Final Year Project II: Automatic Construction of BIM Models with Geometric and Semantically Rich Elements and Subtypes From 3D Point Cloud Data
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Fall 2023, MAEG 4998 Final Year Project I: Automatic Construction of BIM Models with Geometric and Semantically Rich Elements and Subtypes From 3D Point Cloud Data
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Spring 2022, EEEN 4999 Final Year Project II: Estimating the impact of microclimate on building energy performances in high density urban contexts
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Fall 2022, EEEN 4998 Final Year Project I: Estimating the impact of microclimate on building energy performances in high density urban contexts
Mentoring Students:
- Ho Ting Chan, Undergraduates major in Mechanical and Automation Engineering (2023)
- Kai Long Ng, Undergraduates major in Mechanical and Automation Engineering (2022)
Educations
- 2025-Present, Ph.D. in Ophthalmology, The University of Hong Kong
- 2022-2024, M.Phil. in Mechanical and Automation Engineering, The Chinese University of Hong Kong
- 2018-2022, B.Eng. in Mechanical Engineering, City University of Hong Kong
Reviewer
- 2024, IEEE International Conference on Control and Automation (ICCA)