Jun Lyu

According to our database, Jun Lyu authored at least 33 papers between 2020 and 2025.

Collaborative distances:

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

2025

Robust algorithms for spherical angle-of-arrival source localization.

Tianyu Zhang, Pengxiao Teng, Jun Lyu, Jun Yang

Signal Process., 2025

Double kernel and minimum variance embedded broad learning system based autoencoder for one-class classification.

Ningxia He, Junwei Duan, Jun Lyu

Neurocomputing, 2025

2024

Development and validation of a nomogram for predicting in-hospital mortality in ICU patients with infective endocarditis.

Dongyang Che, Jinlin Hu, Jialiang Zhu, Jun Lyu, Xiaoshen Zhang

BMC Medical Informatics Decis. Mak., December, 2024

A prelinary investigation on using multi-task learning to predict change performance in code reviews.

Lanxin Yang, He Zhang, Jinwei Xu, Jun Lyu, Xin Zhou, Dong Shao, Shan Gao, Alberto Bacchelli

Empir. Softw. Eng., November, 2024

Multicontrast MRI Super-Resolution via Transformer-Empowered Multiscale Contextual Matching and Aggregation.

Jun Lyu, Guangyuan Li, Chengyan Wang, Qing Cai, Qi Dou, David Zhang, Jing Qin

IEEE Trans. Neural Networks Learn. Syst., September, 2024

DBGAN: Dual Branch Generative Adversarial Network for Multi-Modal MRI Translation.

Jun Lyu, Shouang Yan, M. Shamim Hossain

ACM Trans. Multim. Comput. Commun. Appl., August, 2024

Iterative Temporal-spatial Transformer-based Cardiac T1 Mapping MRI Reconstruction.

Jun Lyu, Guangming Wang, M. Shamim Hossain

ACM Trans. Multim. Comput. Commun. Appl., June, 2024

Cross co-teaching for semi-supervised medical image segmentation.

Fan Zhang, Huiying Liu, Jinjiang Wang, Jun Lyu, Qing Cai, Huafeng Li, Junyu Dong, David Zhang

Pattern Recognit., 2024

Towards Efficient Build Ordering for Incremental Builds with Multiple Configurations.

Jun Lyu, Shanshan Li, He Zhang, Lanxin Yang, Bohan Liu, Manuel Rigger

Proc. ACM Softw. Eng., 2024

STADNet: Spatial-Temporal Attention-Guided Dual-Path Network for cardiac cine MRI super-resolution.

Jun Lyu, Shuo Wang, Yapeng Tian, Jing Zou, Shunjie Dong, Chengyan Wang, Angelica I. Avilés-Rivero, Jing Qin

Medical Image Anal., 2024

Multi-modality MRI fusion with patch complementary pre-training for internet of medical things-based smart healthcare.

Jun Lyu, Xiudong Chen, Salman A. AlQahtani, M. Shamim Hossain

Inf. Fusion, 2024

Variational Bayesian approach for analyzing interval-censored data under the proportional hazards model.

Wenting Liu, Huiqiong Li, Niansheng Tang, Jun Lyu

Comput. Stat. Data Anal., 2024

CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI.

Zi Wang, Fanwen Wang, Chen Qin, Jun Lyu, Ouyang Cheng, Shuo Wang, Yan Li, Mengyao Yu, Haoyu Zhang, Kunyuan Guo, Zhang Shi, Qirong Li, Ziqiang Xu, Yajing Zhang, Hao Li, Sha Hua, Binghua Chen, Longyu Sun, Mengting Sun, Qin Li, Ying-Hua Chu, Wenjia Bai, Jing Qin, Xiahai Zhuang, Claudia Prieto, Alistair A. Young, Michael Markl, He Wang, Lianming Wu, Guang Yang, Xiaobo Qu, Chengyan Wang

CoRR, 2024

Dual-space high-frequency learning for transformer-based MRI super-resolution.

Haoneng Lin, Jing Zou, Kang Wang, Yidan Feng, Cheng Xu, Jun Lyu, Jing Qin

Comput. Methods Programs Biomed., 2024

An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation.

Qing Li, Yizhe Zhang, Yan Li, Jun Lyu, Meng Liu, Longyu Sun, Mengting Sun, Qirong Li, Wenyue Mao, Xinran Wu, Yajing Zhang, Yinghua Chu, Shuo Wang, Chengyan Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Detecting Build Dependency Errors in Incremental Builds.

Jun Lyu, Shanshan Li, He Zhang, Yang Zhang, Guoping Rong, Manuel Rigger

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Spherical Pseudo-Cylindrical Representation for Omnidirectional Image Super-resolution.

Qing Cai, Mu Li, Dongwei Ren, Jun Lyu, Haiyong Zheng, Junyu Dong, Yee-Hong Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Adaptive feature aggregation based multi-task learning for uncertainty-guided semi-supervised medical image segmentation.

Jun Lyu, Bin Sui, Chengyan Wang, Qi Dou, Jing Qin

Expert Syst. Appl., December, 2023

Adaptive channel-modulated personalized federated learning for magnetic resonance image reconstruction.

Jun Lyu, Yapeng Tian, Qing Cai, Chengyan Wang, Jing Qin

Comput. Biol. Medicine, October, 2023

Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction.

Jun Lyu, Guangyuan Li, Chengyan Wang, Chen Qin, Shuo Wang, Qi Dou, Jing Qin

Medical Image Anal., April, 2023

HIPA: Hierarchical Patch Transformer for Single Image Super Resolution.

Qing Cai, Yiming Qian, Jinxing Li, Jun Lyu, Yee-Hong Yang, Feng Wu, David Zhang

IEEE Trans. Image Process., 2023

CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction.

Chengyan Wang, Jun Lyu, Shuo Wang, Chen Qin, Kunyuan Guo, Xinyu Zhang, Xiaotong Yu, Yan Li, Fanwen Wang, Jianhua Jin, Zhang Shi, Ziqiang Xu, Yapeng Tian, Sha Hua, Zhensen Chen, Meng Liu, Mengting Sun, Xutong Kuang, Kang Wang, Haoran Wang, Hao Li, Ying-Hua Chu, Guang Yang, Wenjia Bai, Xiahai Zhuang, He Wang, Jing Qin, Xiaobo Qu

CoRR, 2023

Temporal Super-Resolution for Fast T1 Mapping.

Xunkang Zhao, Jun Lyu, Fanwen Wang, Chengyan Wang, Jing Qin

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Multi-level Temporal Information Sharing Transformer-Based Feature Reuse Network for Cardiac MRI Reconstruction.

Guangming Wang, Jun Lyu, Fanwen Wang, Chengyan Wang, Jing Qin

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Dual Arbitrary Scale Super-Resolution for Multi-contrast MRI.

Jiamiao Zhang, Yichen Chi, Jun Lyu, Wenming Yang, Yapeng Tian

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

End-to-End Network for Pedestrian Detection, Tracking and Re-Identification in Real-Time Surveillance System.

Mingwei Lei, Yongchao Song, Jindong Zhao, Xuan Wang, Jun Lyu, Jindong Xu, Weiqing Yan

Sensors, 2022

A Review of Image Super-Resolution Approaches Based on Deep Learning and Applications in Remote Sensing.

Xuan Wang, Jinglei Yi, Jian Guo, Yongchao Song, Jun Lyu, Jindong Xu, Weiqing Yan, Jindong Zhao, Qing Cai, Haigen Min

Remote. Sens., 2022

Individual Wave Propagations in Ionosphere and Troposphere Triggered by the Hunga Tonga-Hunga Ha'apai Underwater Volcano Eruption on 15 January 2022.

Chieh-Hung Chen, Xuemin Zhang, Yang-Yi Sun, Fei Wang, Tien-Chi Liu, Chi-Yen Lin, Yongxin Gao, Jun Lyu, Xiaobing Jin, Xiaoli Zhao, Xiang Cheng, Pengyu Zhang, Qiyu Chen, Dixin Zhang, Zhiqiang Mao, Jann-Yenq Liu

Remote. Sens., 2022

Deep transfer learning to quantify pleural effusion severity in chest X-rays.

Tao Huang, Rui Yang, Longbin Shen, Aozi Feng, Li Li, Ningxia He, Shuna Li, Liying Huang, Jun Lyu

BMC Medical Imaging, 2022

Semi-supervised Distillation Learning Based on Swin Transformer for MRI Reconstruction.

Yuanyuan Tan, Jun Lyu

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging.

Jun Lyu, Bin Sui, Chengyan Wang, Yapeng Tian, Qi Dou, Jing Qin

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

WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-contrast MRI Super-Resolution.

Guangyuan Li, Jun Lyu, Chengyan Wang, Qi Dou, Jing Qin

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

2020

Terrain Hazard Risk Analysis for Flood Disaster Management in Chaohu Basin, China, Based on Two-Dimensional Cloud.

Jun Lyu, Xianfu Cheng, Peter Shaw

J. Adv. Comput. Intell. Intell. Informatics, 2020