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Jun Huang 0005
Person information
- affiliation: China Academy of Engineering Physics, Institute of Electronic Engineering, Minayang, China
- affiliation: Southwest University of Science and Technology, School of Computer Science and Technology, Minyang, China
Other persons with the same name
- Jun Huang — disambiguation page
- Jun Huang 0001 — Peking University, School of EECS, Center for Energy-Efficient Computing and Applications, China (and 1 more)
- Jun Huang 0002 — Northwestern Polytechnical University, School of Cybersecurity, Xian, China (and 3 more)
- Jun Huang 0003 — University of Chinese Academy of Sciences, School of Computer and Control Engineering, Beijing, China (and 1 more)
- Jun Huang 0004 — Jiangsu University, National Research Center of Pumps, Research Center of Fluid Machinery Engineering and Technology, Zhenjiang, China (and 1 more)
- Jun Huang 0006 — Soochow University, School of Mechanical and Electrical Engineering, Suzhou, China
- Jun Huang 0007 — Alibaba Group, Hangzhou, China
- Jun Huang 0008 — Wuhan University, Electronic Information School, Wuhan, China
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Journal Articles
- 2023
- [j4]Jun Huang, Qingfeng Wang, Wenyou Qiao, Zhiqin Liu, Yaobin Wang:
Constraints Maintaining Mesh Refinement Method for Solving Whole Trajectory of Discontinuous Aerodynamics. IEEE Access 11: 110086-110101 (2023) - 2020
- [j3]Qingfeng Wang, Qiyu Liu, Guoting Luo, Zhiqin Liu, Jun Huang, Yuwei Zhou, Ying Zhou, Weiyun Xu, Jie-Zhi Cheng:
Automated segmentation and diagnosis of pneumothorax on chest X-rays with fully convolutional multi-scale ScSE-DenseNet: a retrospective study. BMC Medical Informatics Decis. Mak. 20-S(14): 317 (2020) - 2019
- [j2]Qingfeng Wang, Xuehai Zhou, Chao Wang, Zhiqin Liu, Jun Huang, Ying Zhou, Changlong Li, Hang Zhuang, Jie-Zhi Cheng:
WGAN-Based Synthetic Minority Over-Sampling Technique: Improving Semantic Fine-Grained Classification for Lung Nodules in CT Images. IEEE Access 7: 18450-18463 (2019) - [j1]Jun Huang, Zhigui Liu, Zhiqin Liu, Qingfeng Wang, Jie Fu:
A pk-Adaptive Mesh Refinement for Pseudospectral Method to Solve Optimal Control Problem. IEEE Access 7: 161666-161679 (2019)
Conference and Workshop Papers
- 2022
- [c11]Jun Huang, He Xiao, Qingfeng Wang, Zhiqin Liu, Bo Chen, Yaobin Wang, Ping Zhang, Ying Zhou:
Local-Whole-Focus: Identifying Breast Masses and Calcified Clusters on Full-Size Mammograms. BIBM 2022: 3815-3817 - [c10]Bo Xue, Zhiqin Liu, Qingfeng Wang, Qin Tang, Jun Huang, Ying Zhou:
Hybrid-Supervised Network for 3D Renal Tumor Segmentation in Abdominal CT. ICONIP (6) 2022: 588-597 - [c9]Bo Xue, Zhiqin Liu, Qingfeng Wang, Qin Tang, Jun Huang, Ying Zhou:
SNU-Net: a self-supervised deep learning method for pneumothorax segmentation on chest CT. ISCAS 2022: 60-64 - [c8]Mingfeng Guo, Yaobin Wang, Jun Huang, Qingfeng Wang, Yaqing Zhang, Mu Xu, Fang Lu:
Rgs-SpMM: Accelerate Sparse Matrix-Matrix Multiplication by Row Group Splitting Strategy on the GPU. NPC 2022: 61-66 - 2020
- [c7]Qingfeng Wang, Ying Zhou, Jun Huang, Zhiqin Liu, Ling Li, Weiyun Xu, Jie-Zhi Cheng:
Hierarchical Attention-Based Multiple Instance Learning Network for Patient-Level Lung Cancer Diagnosis. BIBM 2020: 1156-1160 - [c6]He Xiao, Qingfeng Wang, Zhiqin Liu, Jun Huang, Yuwei Zhou, Ying Zhou, Weiyun Xu:
CSABlock-based Cascade RCNN for Breast Mass Detection in Mammogram. BIBM 2020: 2120-2124 - 2019
- [c5]Qingfeng Wang, Jun Huang, Zhiqin Liu, Jie-Zhi Cheng, Ying Zhou, Qiyu Liu, Yaobin Wang, Xuehai Zhou, Chao Wang:
Higher-order Transfer Learning for Pulmonary Nodule Attribute Prediction in Chest CT Images. BIBM 2019: 741-745 - [c4]Guoting Luo, Zhiqin Liu, Qingfeng Wang, Qiyu Liu, Ying Zhou, Weiyun Xu, Jun Huang, Jie Fu, Jie-Zhi Cheng:
Fully Convolutional Multi-Scale ScSE-DenseNet for Automatic Pneumothorax Segmentation in Chest Radiographs. BIBM 2019: 1551-1555 - 2018
- [c3]Qingfeng Wang, Jie-Zhi Cheng, Zhiqin Liu, Jun Huang, Qiyu Liu, Ying Zhou, Weiyun Xu, Chao Wang, Xuehai Zhou:
Multi-order Transfer Learning for Pathologic Diagnosis of Pulmonary Nodule Malignancy. BIBM 2018: 2813-2815 - [c2]Qingfeng Wang, Jie-Zhi Cheng, Ying Zhou, Hang Zhuang, Changlong Li, Bo Chen, Zhiqin Liu, Jun Huang, Chao Wang, Xuehai Zhou:
Low-Shot Multi-label Incremental Learning for Thoracic Diseases Diagnosis. ICONIP (7) 2018: 420-432 - 2016
- [c1]Yaobin Wang, Hong An, Zhiqin Liu, Ling Li, Jun Huang:
A Flexible Chip Multiprocessor Simulator Dedicated for Thread Level Speculation. Trustcom/BigDataSE/ISPA 2016: 2127-2132
Coauthor Index
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