Cheng Jin

According to our database, Cheng Jin authored at least 16 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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 Cheong Kin Chan, Herui Yao, Hao Chen

CoRR, June, 2025

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning.

Haoxuan Che, Haibo Jin, Zhengrui Guo, Yi Lin, Cheng Jin, Hao Chen

CoRR, June, 2025

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

CoRR, May, 2025

HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification.

Cheng Jin, Luyang Luo, Huangjing Lin, Jun Hou, Hao Chen

IEEE Trans. Medical Imaging, April, 2025

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

CoRR, February, 2025

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 Trans. Medical Imaging, January, 2025

GameGen-X: Interactive Open-world Game Video Generation.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

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

CoRR, 2024

2023

WYTIWYR: A User Intent-Aware Framework with Multi-modal Inputs for Visualization Retrieval.

Shishi Xiao, Yihan Hou, Cheng Jin, Wei Zeng

Comput. Graph. Forum, June, 2023

Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions.

Cheng Jin, Zhengrui Guo, Yi Lin, Luyang Luo, Hao Chen

CoRR, 2023

2022

Laplacian pyramid networks: A new approach for multispectral pansharpening.

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

Inf. Fusion, 2022

SIT: A Bionic and Non-Linear Neuron for Spiking Neural Network.

Cheng Jin, Rui-Jie Zhu, Xiao Wu, Liang-Jian Deng

CoRR, 2022

SpanConv: A New Convolution via Spanning Kernel Space for Lightweight Pansharpening.

Zhi-Xuan Chen, Cheng Jin, Tian-Jing Zhang, Xiao Wu, Liang-Jian Deng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Detail Injection-Based Deep Convolutional Neural Networks for Pansharpening.

Liang-Jian Deng, Gemine Vivone, Cheng Jin, Jocelyn Chanussot

IEEE Trans. Geosci. Remote. Sens., 2021

Progressive Band-Separated Convolutional Neural Network for Multispectral Pansharpening.

Shishi Xiao, Cheng Jin, Tian-Jing Zhang, Ran Ran, Liang-Jian Deng

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Weighted Shallow-Deep Feature Fusion Network for Pansharpening.

Zi-Rong Jin, Tian-Jing Zhang, Cheng Jin, Liang-Jian Deng

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021