Cheng Jin (金诚, 金誠, 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 Whole-slide Image Analysis.

News

• 1 first-author paper submitted to IEEE Transactions on Medical Imaging!
• 1 paper submitted to the The Thirteenth International Conference on Learning Representations (ICLR 2025).
• 1 paper accepted in IEEE Transactions on Medical Imaging!
• 1 paper submitted to Nature Biomedical Engineering!
• 1 first-author paper submitted to IEEE Transactions on Medical Imaging!
• 1 paper submitted to IEEE Transactions on Medical Imaging.

Selected Publications

Preprints

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

• HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification
  Cheng Jin, Luyang Luo, Huangjing Lin, Jun Hou, Hao Chen*
  arXiv preprint, 2024.
  

  [paper] [code] [project page]

  
  

• GameGen-X: Interactive Open-world Game Video Generation
  Haoxuan Che, Xuanhua He, Quande Liu, Cheng Jin, Hao Chen*
  arXiv preprint, 2024.
  

  [paper] [code] [project page]

  
  

• Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation
  Jiabo Ma, Zhengrui Guo, Fengtao Zhou, Yihui Wang, Yingxue Xu, Yu Cai, Zhengjie Zhu, Cheng Jin, Yi Lin, Xinrui Jiang, Anjia Han, Li Liang, Ronald Cheong Kin Chan, Jiguang Wang, Kwang-Ting Cheng, Hao Chen*
  arXiv preprint, 2024.
  

  [paper] [code] [project page]

  
  

Conference Papers

• 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]

  
  

Journal Papers

• 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*
  IEEE Transactions on Medical Imaging, 2024, Impact Factor: 10.6.
  

  [paper] [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: 14.7.
  

  [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 2024 (MIDL 2024)
• 2024 International Workshop on Multiscale Multimodal Medical Imaging (MMMI 2024) and Workshop on Machine Learning for Multimodal/-sensor Healthcare Data (ML4MHD 2024)
• The Thirteenth International Conference on Learning Representations (ICLR 2025)
• Medical Imaging with Deep Learning 2025 (MIDL 2025)

Teaching

• 2022-2023 Spring HKUST COMP 2711
  Discrete Mathematical Tools for Computer Science

• 2023-2024 Fall HKUST COMP 3211
  Fundamentals of Artificial Intelligence

• 2024-2025 Fall HKUST COMP 2711
  Discrete Mathematical Tools for Computer Science

Supervised Students

• LIANG Yan

Miscellaneous

PGP Signature

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