Chengjin Yu

According to our database, Chengjin Yu authored at least 17 papers between 2017 and 2025.

Collaborative distances:

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

2025

Synthetic oversampling with Mahalanobis distance and local information for highly imbalanced class-overlapped data.

Yuanting Yan, Lei Zheng, Shuangyue Han, Chengjin Yu, Peng Zhou

Expert Syst. Appl., 2025

2024

Embedding Tasks Into the Latent Space: Cross-Space Consistency for Multi-Dimensional Analysis in Echocardiography.

Zhenxuan Zhang, Chengjin Yu, Heye Zhang, Zhifan Gao

IEEE Trans. Medical Imaging, June, 2024

PercepLIE: A New Path to Perceptual Low-Light Image Enhancement.

Cong Wang, Chengjin Yu, Jie Mu, Wei Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Progressive Local and Non-Local Interactive Networks with Deeply Discriminative Training for Image Deraining.

Cong Wang, Liyan Wang, Jie Mu, Chengjin Yu, Wei Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks.

Cong Wang, Wei Wang, Chengjin Yu, Jie Mu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Distilling sub-space structure across views for cardiac indices estimation.

Chengjin Yu, Huafeng Liu, Heye Zhang

Medical Image Anal., April, 2023

Multi-level multi-type self-generated knowledge fusion for cardiac ultrasound segmentation.

Chengjin Yu, Shuang Li, Dhanjoo N. Ghista, Zhifan Gao, Heye Zhang, Javier Del Ser, Lin Xu

Inf. Fusion, April, 2023

A relative motion model for myocardial infarction detection.

Runzhou Shi, Fuyan Wang, Chengjin Yu, Cailing Pu, Gaoning Ning, Huafeng Liu, Hongjie Hu

Proceedings of the Medical Imaging 2023: Image Processing, 2023

A deep learning method for localizing the origin of ventricular tachycardia using 12-lead ECG.

Ao Ran, Chengjin Yu, Huafeng Liu

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

STPDnet: Spatial-Temporal Convolutional Primal Dual Network for Dynamic Pet Image Reconstruction.

Rui Hu, Jianan Cui, Chengjin Yu, Yunmei Chen, Huafeng Liu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Pixel-Correlation-Based Scar Screening in Hypertrophic Myocardium.

Bin Lu, Cailing Pu, Chengjin Yu, Yuanting Yan, Hongjie Hu, Huafeng Liu

Proceedings of the Image and Graphics - 12th International Conference, 2023

2022

Augmented Semi-Supervised Learning for Salient Object Detection with Edge Computing.

Chengjin Yu, Yanping Zhang, Mithun Mukherjee, Jaime Lloret

IEEE Wirel. Commun., 2022

LDAS: Local density-based adaptive sampling for imbalanced data classification.

Yuan-Ting Yan, Yifei Jiang, Zhong Zheng, Chengjin Yu, Yiwen Zhang, Yanping Zhang

Expert Syst. Appl., 2022

Physiological Model Based Deep Learning Framework for Cardiac TMP Recovery.

Xufeng Huang, Chengjin Yu, Huafeng Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Multitask Learning for Estimating Multitype Cardiac Indices in MRI and CT Based on Adversarial Reverse Mapping.

Chengjin Yu, Zhifan Gao, Weiwei Zhang, Guang Yang, Shu Zhao, Heye Zhang, Yanping Zhang, Shuo Li

IEEE Trans. Neural Networks Learn. Syst., 2021

2020

Pyramid feature adaptation for semi-supervised cardiac bi-ventricle segmentation.

Chengjin Yu, Yuan-Ting Yan, Shu Zhao, Yanping Zhang

Comput. Medical Imaging Graph., 2020

2017

Hierarchical Community Detection Based on Multi Degrees of Distance Space and Submodularity Optimization.

Shu Zhao, Chengjin Yu, Yanping Zhang

Proceedings of the Social Media Processing - 6th National Conference, 2017