Cheng Jin (金诚, Peter Kam) Ph.D. Student, HKUST Email: Cheng.Jin@connect.ust.hk / /

Hi, welcome to my corner of the Internet!

I was born in Dongguan, China. After spending eighteen years of my life there, I was admitted to University of Electronic Science and Technology of China (UESTC, 电子科技大学) when I was 18 years old. Thereafter, I’ve spent three years at the Innovation Center of UESTC, discovering my research interest with Prof. Liang-Jian Deng. In 2022, I was admitted to the Hong Kong University of Science and Technology (HKUST, 香港科技大學) under Dr. Hao Chen’s supervise in the HKUST SMART (Scalable Medical Analysis, Reasoning and Treatment) Lab. Now I am focusing on Medical Image Analysis.

News

• 1 first-author paper submitted to the Proceedings of the IEEE!
• 1 paper submitted to the 2024 Computer Vision and Pattern Recognition Conference.
• 1 paper submitted to the 2024 International Conference on Learning Representations.
• Started my Ph.D. life. E-mail now changed to Cheng.Jin@connect.ust.hk.
• 1 paper accepted at the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence on SpanConv: A New Convolution via Spanning Kernel Space for Lightweight Pansharpening.

Selected Publications

Note: The asterisk(*) sign denotes the Corresponding Author identity.

• Shapley Values-enabled Progressive Pseudo Bag Augmentation for Whole Slide Image Classification
  Renao Yan, Qiehe Sun, Cheng Jin, Yiqing Liu, Yonghong He, Tian Guan, Hao Chen*
  arXiv preprint, 2023.
  

  [paper] [code will be available] [project page]

  
  

• SpanConv: A New Convolution via Spanning Kernel Space for Lightweight Pansharpening
  Zhi-Xuan Chen, Cheng Jin, Tian-Jing Zhang, Xiao Wu, Liang-Jian Deng*
  IJCAI-ECAI, 2022, Long Oral Acceptance (3.75%).
  

  [paper] [supplementary] [code] [project page]

  
  

• Laplacian pyramid networks: A new approach for multispectral pansharpening
  Cheng Jin, Liang-Jian Deng*, Ting-Zhu Huang, Gemine Vivone
  Information Fusion, 2021, Impact Factor: 17.564.
  

  [paper] [code] [project page]

  
  

• Detail Injection-Based Deep Convolutional Neural Networks for Pansharpening
  Liang-Jian Deng, Gemine Vivone*, Cheng Jin and Jocelyn Chanussot
  IEEE Transactions on Geoscience and Remote Sensing,
  ESI Highly Cited Paper, ESI Hot Paper, 2020.
  

  [paper] [code] [project page]

  
  

Talks

• Dialyzer Modeling for Computer Fluid Dynamics Analysis
  PM3 Workshop, 2021.
  This talk reports on the progress of my Mitacs GRI Internship focused on dialyzer modeling for computer fluid dynamics analysis. The project aims to construct an effective mathematical module for substance transfer between the dialyzer and blood.

  [YouTube video]

  
  

Professional Services

Membership

IEEE Graduate Student Member

Regular Journal Reviewer

• Information Fusion
• IEEE Transactions on Neural Networks and Learning Systems
• International Journal of Computer Vision
• IEEE Transactions on Geoscience and Remote Sensing
• IEEE Journal of Biomedical and Health Informatics
• IEEE Geoscience and Remote Sensing Letters

Conference Reviewer

• Medical Imaging with Deep Learning (MIDL) 2024

Teaching

• 2022-2023 Spring HKUST COMP 2711
  Discrete Mathematical Tools for Computer Science
  
  
• 2023-2024 Fall HKUST COMP 3211
  Fundamentals of Artificial Intelligence

Miscellaneous

PGP Signature

BA8D F912 5DE6 EFE8 9540 0AB0 9D5A D561 9E27 B262