Cheng Jin
Cheng Jin (金诚, Peter Kam)
Ph.D. Student in Computer Science and Engineering
The Hong Kong University of Science and Technology (HKUST)

Recent News

About

I am a Ph.D. student in the Department of Computer Science and Engineering at The Hong Kong University of Science and Technology (HKUST), working under the supervision of Dr. Hao Chen in the HKUST SMART (Scalable Medical Analysis, Reasoning and Treatment) Lab. My research focuses on pathology image analysis and the application of artificial intelligence in healthcare, with particular emphasis on developing foundation models for medical image understanding.

Prior to joining HKUST, I completed my undergraduate studies at the University of Electronic Science and Technology of China (UESTC), where I worked with Prof. Liang-Jian Deng at the Innovation Center, focusing on remote sensing image processing and pansharpening techniques.

Research Interests

  • Healthcare AI & Pathology
  • Computer Vision & Foundation Models
  • Medical Image Analysis
  • Machine Learning Applications

Selected Publications

Preprints

Notation: # indicates co-first authorship, ^ indicates co-second authorship, * denotes corresponding author.

PathLUPI

Genome-Anchored Foundation Model Embeddings Improve Molecular Prediction from Histology Images

Cheng Jin#, Fengtao Zhou#, Yunfang Yu#, Jiabo Ma, Yihui Wang, Yingxue Xu, Huajun Zhou, Hao Jiang, Luyang Luo, Luhui Mao, Zifan He, Xiuming Zhang, Jing Zhang, Ronald Chan, Herui Yao*, Hao Chen*

arXiv preprint, 2025

PathBench

PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology

Jiabo Ma#, Yingxue Xu#, Fengtao Zhou#, Yihui Wang^, Cheng Jin^, Zhengrui Guo^, Jianfeng Wu, On Ki Tang, Huajun Zhou, Xi Wang, Luyang Luo, Zhengyu Zhang, Du Cai, Zizhao Gao, Wei Wang, Yueping Liu, Jiankun He, Jing Cui, Zhenhui Li, Jing Zhang, Feng Gao*, Xiuming Zhang*, Li Liang*, Ronald Cheong Kin Chan*, Zhe Wang*, Hao Chen*

arXiv preprint, 2025

mSTAR

A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model

Yingxue Xu#, Yihui Wang#, Fengtao Zhou#, Jiabo Ma, Cheng Jin, Shu Yang, Jinbang Li, Zhengyu Zhang, Chenglong Zhao, Huajun Zhou, Zhenhui Li, Huangjing Lin, Xin Wang, Jiguang Wang, Anjia Han, Ronald Cheong Kin Chan, Li Liang, Xiuming Zhang, Hao Chen*

arXiv preprint, 2024

Smart-CCS

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation

Hao Jiang#, Cheng Jin#, Huangjing Lin#, Yanning Zhou, Xi Wang, Jiabo Ma, Li Ding, Jun Hou, Runsheng Liu, Zhizhong Chai, Luyang Luo, Huijuan Shi, Yinling Qian, Qiong Wang, Changzhong Li, Anjia Han*, Ronald Cheong Kin Chan*, Hao Chen*

arXiv preprint, 2025

Conference Papers

GameGen-X

GameGen-X: Interactive Open-world Game Video Generation

Haoxuan Che#, Xuanhua He#, Quande Liu*, Cheng Jin, Hao Chen*

ICLR 2025 (Poster Acceptance)

SpanConv

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, Top 3.75%)

Journal Papers

GPFM

Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation

Jiabo Ma#, Zhengrui Guo#, Fengtao Zhou, Yihui Wang, Yingxue Xu, Jinbang Li, Fang Yan, Yu Cai, Zhengjie Zhu, Cheng Jin, Yi Lin, Xinrui Jiang, Anjia Han, Zhenhui Li, Ronald Cheong Kin Chan, Jiguang Wang, Peng Fei, Kwang-Ting Cheng, Shaoting Zhang*, Li Liang*, Hao Chen*

Nature Biomedical Engineering (Impact Factor: 26.3), 2025

PMIL

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 (Impact Factor: 9.8), 2024

LPPN

Laplacian pyramid networks: A new approach for multispectral pansharpening

Cheng Jin, Liang-Jian Deng*, Ting-Zhu Huang, Gemine Vivone

Information Fusion (Impact Factor: 15.5), 2021

FusionNet

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, 2020

ESI Highly Cited Paper, ESI Hot Paper

Talks

PM3 Workshop

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.

Professional Services

Membership

  • IEEE Graduate Student Member

Journal Reviewer

Conference Reviewer

Teaching

Teaching Assistant

  • COMP 2711 - Discrete Mathematical Tools for Computer Science (Spring 2023, Fall 2024)
  • COMP 3211 - Fundamentals of Artificial Intelligence (Fall 2023)

Supervised Students

Miscellaneous

PGP Signature

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