Zhiqin Liu

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 23

Top Topics

Back Propagation Neural Network

Mesh Refinement

Top Venues

Publications

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 (2023)
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)
Nan Zhu, Zhiqin Liu
Recaptured image forensics based on local ternary count of high order prediction error. Signal Process. Image Commun. 104 (2022)
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)
Jingyu Hu, Zhiqin Liu, Qingfeng Wang
Breast Density Segmentation in Mammograms Based on Dual Attention Mechanism. ISAIMS (2022)
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)
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)
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)
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. (14) (2020)
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) (2020)
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)
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 (2019)
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 (2019)
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)
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)
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)
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)
Wangfei Zhang, Erxue Chen, Zengyuan Li, Lei Zhao, Yongjie Ji, Yahong Zhang, Zhiqin Liu
L.) Growth Monitoring and Mapping Based on Radarsat-2 Time-Series Data. Remote. Sens. 10 (2) (2018)
Yaobin Wang, Hong An, Zhiqin Liu, Ling Li, Jun Huang
A Flexible Chip Multiprocessor Simulator Dedicated for Thread Level Speculation. Trustcom/BigDataSE/ISPA (2016)
Yaobin Wang, Hong An, Zhiqin Liu, Tao Liu, Dongmei Zhao
Parallelizing Back Propagation Neural Network on Speculative Multicores. ICPADS (2016)
Yaobin Wang, Hong An, Zhiqin Liu, Lei Zhang, Qingfeng Wang
Parallelizing Block Cryptography Algorithms on Speculative Multicores. ICA3PP (1) (2015)
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)
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) (2015)
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) (2014)
Yaobin Wang, Hong An, Zhiqin Liu, Kang Xu, Wanli Dong
Accelerating Block Cryptography Algorithms in Procedure Level Speculation. CIS (2011)
Wenke Li, Dongshan Cheng, Zhiqin Liu
Agricultural resources assessment and monitoring with remote sensing and spatial information systems in Shanxi Province, China. IGARSS (2002)