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2020 – today
- 2023
[j10]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)- 2022
- [j9]Nan Zhu, Zhiqin Liu:
Recaptured image forensics based on local ternary count of high order prediction error. Signal Process. Image Commun. 104: 116662 (2022) - [c19]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 - [c18]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 - [c17]Jingyu Hu, Zhiqin Liu, Qingfeng Wang:
Breast Density Segmentation in Mammograms Based on Dual Attention Mechanism. ISAIMS 2022: 430-435 - [c16]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 - 2020
- [j8]Zhiqin Liu, Evgeniy M. Dorozhkin, Nataliia N. Davydova, Nadezhda Sadovnikova:
Effectiveness of the Partial Implementation of a Cloud-Based Knowledge Management System. Int. J. Emerg. Technol. Learn. 15(13): 155-171 (2020) - [j7]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) - [j6]Wei-Li Liu, Yue-Jiao Gong, Wei-Neng Chen, Zhiqin Liu, Hua Wang, Jun Zhang:
Coordinated Charging Scheduling of Electric Vehicles: A Mixed-Variable Differential Evolution Approach. IEEE Trans. Intell. Transp. Syst. 21(12): 5094-5109 (2020) - [c15]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 - [c14]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
2010 – 2019
- 2019
- [j5]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) - [j4]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) - [c13]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 - [c12]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
- [j3]Wangfei Zhang, Erxue Chen, Zengyuan Li, Lei Zhao, Yongjie Ji, Yahong Zhang, Zhiqin Liu:
Rape (Brassica napus L.) Growth Monitoring and Mapping Based on Radarsat-2 Time-Series Data. Remote. Sens. 10(2): 206 (2018) - [c11]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 - [c10]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 - [c9]Deqing Bu, Yaobin Wang, Ling Li, Zhiqin Liu, Wenxin Yu, Manasah Musariri:
Exploring Parallelism in MiBench with Loop and Procedure Level Speculation. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 141-146 - 2016
- [c8]Yaobin Wang, Hong An, Zhiqin Liu, Tao Liu, Dongmei Zhao:
Parallelizing Back Propagation Neural Network on Speculative Multicores. ICPADS 2016: 902-907 - [c7]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 - 2015
- [j2]Yaobin Wang, Hong An, Zhiqin Liu, Li Li, Liang Yu, Yilu Zhen:
Speculative Parallelism Characterization Profiling in General Purpose Computing Applications. J. Comput. Sci. Eng. 9(1): 20-28 (2015) - [c6]Yaobin Wang, Hong An, Zhiqin Liu, Lei Zhang, Qingfeng Wang:
Parallelizing Block Cryptography Algorithms on Speculative Multicores. ICA3PP (1) 2015: 3-15 - [c5]Yaobin Wang, Pingping Tang, Hong An, Zhiqin Liu, Kun Wang, Yong Zhou:
Optimization and Analysis of Parallel Back Propagation Neural Network on GPU Using CUDA. ICONIP (3) 2015: 156-163 - 2014
- [j1]Yaobin Wang, Zhiqin Liu, Huarong Chen, Xia Luo, Guotang Bi, Hong An:
Exploring speculative procedure and loop level parallelism in SPLASH2. Int. J. High Perform. Syst. Archit. 5(2): 84-92 (2014) - 2011
- [c4]Yaobin Wang, Hong An, Zhiqin Liu, Kang Xu, Wanli Dong:
Accelerating Block Cryptography Algorithms in Procedure Level Speculation. CIS 2011: 874-877 - [c3]Zhiqin Liu, Zhaoguo Sun, Haonan Chen, Tao Liu:
Numerical Simulation of Low-Speed Combustion Using OpenFOAM on Multi-core Cluster Systems. ICICA (1) 2011: 150-157
2000 – 2009
- 2009
- [c2]Zhiqin Liu, Xiufeng Jiang, Haihao Wang, Kai Zhang:
An On-line Monitor System on Off-Gases of Vehicles with WSN's Design Based on Zigbee Technology. DASC 2009: 758-763 - 2002
- [c1]Wenke Li, Dongshan Cheng, Zhiqin Liu:
Agricultural resources assessment and monitoring with remote sensing and spatial information systems in Shanxi Province, China. IGARSS 2002: 2781-2783
Coauthor Index
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