Publications

Intelligent Communications and Industrial Internet-of-Things Networks

  • Na Li, Xiao Wang, Wanzhen Wang, Miaomiao Xin, Dongfeng Yuan, Mingqiang Zhang. “A multi-feature dataset of coated end milling cutter tool wear whole life cycle, ” Scientific Data, Vol. 12, No. 1, pp.1-10, 2025.

  • Mingqiang Zhang, Yanjuan Yang, Baokun Song, Zexin Chen, Xiaocong Ma, Dongyang Li, Na Li, Feng Cao, Yanping Zhang, Haixia Zhang. “Industrial Semantic Communications for Tool Wear Monitoring in Industrial IoT Networks, ” 2024 IEEE/CIC International Conference on Communications in China (ICCC Workshops). IEEE, 2024.

  • Haixia Hou, Daojun Liang, Mingqiang Zhang,, Dongfeng Yuan. “A Densely Stacked Attention Method for Cyberattack Detection, ” Journal of Information Science and Engineering, Vol. 39, No. 4, pp.935-950, 2023.

  • Mingqiang Zhang, Haixia Zhang, Chuanting Zhang, Dongfeng Yuan, “Communication-Efficient Quantized Deep Compressed Sensing for Edge-Cloud Collaborative Industrial IoT Networks, ” in IEEE Transactions on Industrial Informatics, vol. 19, no. 5, pp. 6613-6623, May 2023, doi: 10.1109/TII.2022.3202203. [Paper] [DataSet]

  • Mingqiang Zhang, Haixia Zhang, Yuguang Fang, Dongfeng Yuan, “Learning-Based Data Transmissions for Future 6G Enabled Industrial IoT: A Data Compression Perspective, ” in IEEE Network, vol. 36, no. 5, pp. 180-187, September/October 2022, doi: 10.1109/MNET.109.2100384. [Paper]

  • Mingqiang Zhang, Haixia Zhang, Dongfeng Yuan, Minggao Zhang. “Learning-Based Sparse Data Reconstruction for Compressed Data Aggregation in IoT Networks, ” in IEEE Internet of Things Journal,, vol. 8, no. 14, pp. 11732-11742, 15 July15, 2021, doi: 10.1109/JIOT.2021.3059735. [Paper] [DataSet]

  • Mingqiang Zhang, Haixia Zhang, Dongfeng Yuan, Minggao Zhang. “Compressive Sensing and Autoencoder Based Compressed Data Aggregation for Green IoT Networks, ” 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, 2019, pp. 1-6, doi: 10.1109/GLOBECOM38437.2019.9013373. [Paper]

  • Mingqiang Zhang, Hua Gao, Dongfeng Yuan, Haixia Zhang, Guangyuan Sun, Rui Ma, Huazhen Zhai, Xunzheng Zhang. “Design and Implementation of Cloud-Edge Collaborative System for Appearance Quality Detection with Artificial Intelligence, ” Computer Integrated Manufacturing Systems, 1-14 [2021-11-12]. [Paper][Chinese Journal]

  • Dongyang Li, Dongfeng Yuan, Daojun Liang, Zijun Di, Mingqiang Zhang, Feng Cao, Miaomiao Xin, Tengfei Lei, Mingyan Jiang. “Tool Fault Diagnosis Based on Improved Multiscale Network and Feature Fusion, ” 2021 IEEE International Conference on Prognostics and Health Management (ICPHM), Detroit (Romulus), MI, USA, 2021, pp. 1-6, doi: 10.1109/ICPHM51084.2021.9486491.. [Paper]

  • Miaomiao Xin, Feng Cao, Mingyan Jiang, Xiangbao Li, Dongyang Li, Mingqiang Zhang, Tengfei Lei, Dongfeng Yuan. “SDU-QIT End Milling Cutter Accelerated Life Test Datasets, ” Journal of Mechanical Engineering, Vol. 58, No. 9, pp. 166-171. DOI: 10.3901/JME.2022.09.166. [Paper][Chinese Journal]

Intelligent Medical Imaging and Genomics

  • Fangjun Li, Mu Yang, Yunhe Li, Mingqiang Zhang, Wenjuan Wang, Dongfeng Yuan,Dongqi Tang. “An Improved Clear Cell Renal Cell Carcinoma Stage Prediction Model Based on Gene Sets, ” in BMC Bioinformatics, 2020, 21: 1-15. [Paper]

  • Yidi Liu, Mu Yang, Weiwei Sun, Mingqiang Zhang, Jiao Sun, Wenjuan Wang, Dongqi Tang, Dongfeng Yuan, “Developing Prognostic Gene Panel of Survival Time in Lung Adenocarcinoma Patients Using Machine Learning, ” in Translational Cancer Research,, 2020, 9(6): 3860-+. [Paper]

  • Fangjun Li, Dongfeng Yuan, Mingqiang Zhang, Cong Liang, Xiaotian Zhou, Haixia Zhang. “Multi-scale Stepwise Training Strategy of Convolutional Neural Networks for Diabetic Retinopathy Severity Assessment, ” The 2019 International Joint Conference on Neural Networks(IJCNN), Budapest, Hungary on July 14-19, 2019. [Paper]

  • Shikun Zhang, Fengrong Sun, Naishun Wang, Cuicui Zhang, Qianlei Yu, Mingqiang Zhang, Paul Babyn, Hai Zhong. “Computer-aided diagnosis (CAD) of pulmonary nodule of thoracic CT image using transfer learning, ” Journal of digital imaging, 32, 995–1007 (2019). https://doi.org/10.1007/s10278-019-00204-4. [Paper]

  • Cuicui Zhang, Fengrong Sun, Mingqiang Zhang, Wei Liu, Qianlei Yu, Paul Babyn, Hai Zhong, “Design and implementation of a medical image knowledge base for pulmonary nodules diagnosis, ” 2017 3rd IEEE International Conference on Computer and Communications (ICCC), Chengdu, China, 2017, pp. 2071-2075, doi: 10.1109/CompComm.2017.8322901. [Paper]

  • Fengrong Sun, Paul Babyn, Tetsuya Yuasa, Mingqiang Zhang, Feng Qin, Naoki Sunaguchi, Khan A. Wahid, Masami Ando “An Iterative Image Reconstruction for Differential X-ray Phase-contrast Computed Tomography, ” Journal of Fiber Bioengineering and Informatics 8:3 (2015) 521-528. doi:10.3993/jfbim00125. [Paper]

  • Fengrong Sun, Mingqiang Zhang, Xiaobo Jia, Xiaojing Wang, Guihua Yao, Yun Zhang. “Region of Interest Tracking in Real-Time Myocardial Contrast Echocardiography, ” Journal of Medical Systems,35, 163-167 (2011). https://doi.org/10.1007/s10916-009-9353-y [Paper]

  • Fengrong Sun, Mingqiang Zhang, Xiaobo Jia, Xiaojing Wang, Guihua Yao, Yun Zhang. “Numerical Methods and Workstation for the Quantitative Analysis of Real-Time Myocardial Contrast Echocardiography, ” in IEEE Transactions on Information Technology in Biomedicine, vol. 14, no. 5, pp. 1204-1210, Sept. 2010, doi: 10.1109/TITB.2010.2040395. [Paper]

  • Fengrong Sun, Mingqiang Zhang, Xiaobo Jia, Guihua Yao, “A Workstation for the Quantitative Analysis of Real-Time Myocardial Contrast Echocardiography, ” 2009 2nd International Conference on Biomedical Engineering and Informatics, Tianjin, China, 2009, pp. 1-5, doi: 10.1109/BMEI.2009.5304896. [Paper]

  • Mingqiang Zhang, Fengrong Sun, Guihua Yao. “Development of A New Real-time MCE-based Quantitative Analysis System, ”in Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74972R (30 October 2009); https://doi.org/10.1117/12.831254 [Paper]

  • Mingqiang Zhang, Fengrong Sun, Guihua Yao. “Development of A New Real-time MCE-based Quantitative Analysis System for Myocardial Microcirculation, ” Journal of Biomedical Engineering, vol.25, No. 3, pp.708-711, June, 2008. [Chinese Journal]

  • Mingqiang Zhang, Fengrong Sun, Haohao Song, Li Liu, Liangmo Mei, Guangtao Zhai, Changyu Wang. “Design of the quantitative analysis software system for myocardial contrast echocardiography, ” in Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538792.