Jun Huang

According to our database, Jun Huang authored at least 15 papers between 2016 and 2023.

Collaborative distances:

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

2023

Constraints Maintaining Mesh Refinement Method for Solving Whole Trajectory of Discontinuous Aerodynamics.

Jun Huang, Qingfeng Wang, Wenyou Qiao, Zhiqin Liu, Yaobin Wang

IEEE Access, 2023

2022

Rgs-SpMM: Accelerate Sparse Matrix-Matrix Multiplication by Row Group Splitting Strategy on the GPU.

Mingfeng Guo, Yaobin Wang, Jun Huang, Qingfeng Wang, Yaqing Zhang, Mu Xu, Fang Lu

Proceedings of the Network and Parallel Computing, 2022

SNU-Net: a self-supervised deep learning method for pneumothorax segmentation on chest CT.

Bo Xue, Zhiqin Liu, Qingfeng Wang, Qin Tang, Jun Huang, Ying Zhou

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Hybrid-Supervised Network for 3D Renal Tumor Segmentation in Abdominal CT.

Bo Xue, Zhiqin Liu, Qingfeng Wang, Qin Tang, Jun Huang, Ying Zhou

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Local-Whole-Focus: Identifying Breast Masses and Calcified Clusters on Full-Size Mammograms.

Jun Huang, He Xiao, Qingfeng Wang, Zhiqin Liu, Bo Chen, Yaobin Wang, Ping Zhang, Ying Zhou

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2020

Automated segmentation and diagnosis of pneumothorax on chest X-rays with fully convolutional multi-scale ScSE-DenseNet: a retrospective study.

Qingfeng Wang, Qiyu Liu, Guoting Luo, Zhiqin Liu, Jun Huang, Yuwei Zhou, Ying Zhou, Weiyun Xu, Jie-Zhi Cheng

BMC Medical Informatics Decis. Mak., 2020

CSABlock-based Cascade RCNN for Breast Mass Detection in Mammogram.

He Xiao, Qingfeng Wang, Zhiqin Liu, Jun Huang, Yuwei Zhou, Ying Zhou, Weiyun Xu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Hierarchical Attention-Based Multiple Instance Learning Network for Patient-Level Lung Cancer Diagnosis.

Qingfeng Wang, Ying Zhou, Jun Huang, Zhiqin Liu, Ling Li, Weiyun Xu, Jie-Zhi Cheng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

WGAN-Based Synthetic Minority Over-Sampling Technique: Improving Semantic Fine-Grained Classification for Lung Nodules in CT Images.

Qingfeng Wang, Xuehai Zhou, Chao Wang, Zhiqin Liu, Jun Huang, Ying Zhou, Changlong Li, Hang Zhuang, Jie-Zhi Cheng

IEEE Access, 2019

A pk-Adaptive Mesh Refinement for Pseudospectral Method to Solve Optimal Control Problem.

Jun Huang, Zhigui Liu, Zhiqin Liu, Qingfeng Wang, Jie Fu

IEEE Access, 2019

Higher-order Transfer Learning for Pulmonary Nodule Attribute Prediction in Chest CT Images.

Qingfeng Wang, Jun Huang, Zhiqin Liu, Jie-Zhi Cheng, Ying Zhou, Qiyu Liu, Yaobin Wang, Xuehai Zhou, Chao Wang

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Fully Convolutional Multi-Scale ScSE-DenseNet for Automatic Pneumothorax Segmentation in Chest Radiographs.

Guoting Luo, Zhiqin Liu, Qingfeng Wang, Qiyu Liu, Ying Zhou, Weiyun Xu, Jun Huang, Jie Fu, Jie-Zhi Cheng

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Low-Shot Multi-label Incremental Learning for Thoracic Diseases Diagnosis.

Qingfeng Wang, Jie-Zhi Cheng, Ying Zhou, Hang Zhuang, Changlong Li, Bo Chen, Zhiqin Liu, Jun Huang, Chao Wang, Xuehai Zhou

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Multi-order Transfer Learning for Pathologic Diagnosis of Pulmonary Nodule Malignancy.

Qingfeng Wang, Jie-Zhi Cheng, Zhiqin Liu, Jun Huang, Qiyu Liu, Ying Zhou, Weiyun Xu, Chao Wang, Xuehai Zhou

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2016

A Flexible Chip Multiprocessor Simulator Dedicated for Thread Level Speculation.

Yaobin Wang, Hong An, Zhiqin Liu, Ling Li, Jun Huang

Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016