Liu, Haosen (刘灏森)

PhD Student, Imaging Systems Lab, Department of Electrical and Electronic Engineering, The University of Hong Kong. Supervisor: Prof. Edmund Y. Lam E-mail: hsliu@eee.hku.hk

About me

My name is Haosen Liu, currently a second-year PhD student in the department of Electrical and Electronic Engineering of the University of Hong Kong, supervised by Prof. Edmund Y. Lam.

I got the B.Eng. degree and M.Eng. degree (supervisor: Prof. Shan Tan) from the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology in 2016 and 2019, respectively.

My research interest includes image processing and machine learning. I am now studying the weakly supervised learning for image restoration.

Experience

• Research Assistance | Imaging Systems Laboratory, The University of Hong Kong | Feb. 2022 – Aug. 2022
  Supervisor: Edmund Y. Lam
• Research Intern | SmartMore Co., Ltd. | Jan. 2021 – Jan. 2022
  Mentor: Jiangbo Lu
• Research Assistance | Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology | Sep. 2020 – Dec. 2020
  Supervisor: Shan Tan

Publication [Google Scholar]

• Neuromorphic Imaging With Joint Image Deblurring and Event Denoising
  Pei Zhang, Haosen Liu, Zhou Ge, Chutian Wang, Edmund Y. Lam.
  IEEE Transactions on Image Processing (IEEE TIP), 2024.
  

• Towards Robust Image Denoising via Flow-based Joint Image and Noise Model
  Lanqing Guo, Siyu Huang, Haosen Liu, Bihan Wen.
  IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2023.
  

• Joint Optimization of Splitter Pattern and Image Reconstruction for Metasurface-based Color Imaging Systems
  Haosen Liu, Edmund Y. Lam.
  Optics and Laser Technology, 2023.
  [Code].
  

• Group Sparsity Mixture Model and Its Application on Image Denoising
  Haosen Liu, Laquan Li, Jiangbo Lu, Shan Tan.
  IEEE Transactions on Image Processing (IEEE TIP), 2022.
  [Code].
  

• Self-Supervised Image Prior Learning With GMM From a Single Noisy Image
  Haosen Liu, Xuan Liu, Jiangbo Lu, Shan Tan.
  IEEE International Conference on Computer Vision (ICCV, Oral 3% acceptance rate), 2021.
  [Code].
  

• Image regularizations based on the sparsity of corner points
  Haosen Liu, Shan Tan.
  IEEE Transactions on Image Processing (IEEE TIP), 2018
  [Code].
  

• Fast, long-term, super-resolution imaging with Hessian structured illumination microscopy
  Xiaoshuai Huang*, Junchao Fan*, Liuju Li*, Haosen Liu, Runlong Wu, Yi Wu, Lisi Wei, Heng Mao, Amit Lal,
  Peng Xi, Liqiang Tang, Yunfeng Zhang, Yanmei Liu, Shan Tan & Liangyi Chen.
  Nature Biotechnology, 2018.
  

Honor and Award

HKU Presidential PhD Scholarship Award, 2022 - 2026
National Scholarship for Postgraduate, 2018
National Scholarship for Undergraduate, 2015.