Chen Junying

Time:2018-11-30

Contact Information

Office: B7-213A, South Campus, South China University of Technology

E-mail: jychense@scut.edu.cn 

Brief Introduction

Junying Chen is a member of IEEE-HKN, China Computer Federation and China Society of Image and Graphics. She is a core member of the Key Laboratory of Big Data and Intelligent Robot of the Ministry of Education, and a core member of the research team of intelligent software and robots in South China University of Technology. She mainly engages in scientific research in medical ultrasound imaging, intelligent image processing, deep learning fundamental research, high-performance computing, etc. She is the principal investigator of 1 National Natural Science Foundation of China project, 4 Guangdong Natural Science Foundation projects, 1 Guangzhou Science and Technology Program project, 1 National Key Laboratory open project, and 3 Fundamental Research Funds for Central Universities projects, and participates in a number of national, ministerial, and provincial research projects. She published more than 30 papers in academic journals and conferences, applied for 8 invention patents (including 4 PCT patents), authorized more than 20 software copyrights, published 2 books, and received the Second Prize for Technological Invention from China Computer Federation Science and Technology Awardand other awards.

Updated information: https://yanzhao.scut.edu.cn/open/ExpertInfo.aspx?zjbh=HRJQ8eUH0dc2JnsxzoCyLg==

Education Background

2007.12-2013.11  Ph.D. in Electrical and Electronic Engineering, The University of Hong Kong

2003.09-2007.07  B.E. in Electronic Information Engineering (Outstanding Graduates), Zhejiang University

Working Experience

Since 2017.09 Associate Professor with School of Software Engineering, South China University of Technology

2014.02-2017.08 Assistant Professor with School of Software Engineering, South China University of Technology

Teaching Courses

Undergraduate Courses:

Digital Logic (EMI course) for 1st year students

Computer Organization and Architecture for 2nd year students

Postgraduate Course:

Hardware/software Co-design for 1st year students

Academic Services

[1] APWeb-WAIM 2021 Publication Chair and Local Arrangement Chair

[2] Reviewers: IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Image Processing, etc.

Research Interests

Medical ultrasound imaging, Medical image segmentation and intelligent diagnosis, Multi-modal image data fusion, Deep learning algorithms and models, Multi-modal text and image data analysis, Heterogeneous parallel acceleration and analysis.

Publications

[1] Zhigang Dai, Bolun Cai, Yugeng Lin, Junying Chen*. UP-DETR: Unsupervised Pre-Training for Object Detection with Transformers, in Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 1601-1610.

[2] Junying Chen, Zhan Liu. Mask Dynamic Routing to Combined Model of Deep Capsule Network and U-Net, IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(7): 2653-2664. (2020 Impact Factor: 10.451, JCR Q1)

(https://doi.org/10.1109/TNNLS.2020.2984686)

[3] Junying Chen, Jinhui Chen, Renxin Zhuang, Huaqing Min. Multi-operator Minimum Variance Adaptive Beamforming Algorithms Accelerated with GPU, IEEE Transactions on Medical Imaging, 2020, 39(9): 2941-2953. (2020 Impact Factor: 10.048, JCR Q1)

(https://doi.org/10.1109/TMI.2020.2982239)

[4] Junying Chen, Haijun You, Kai Li. A Review of Thyroid Gland Segmentation and Thyroid Nodule Segmentation Methods for Medical Ultrasound Images, Computer Methods and Programs in Biomedicine, 2020, 185(105329): 1-18. (2020 Impact Factor: 5.428, JCR Q1)

(https://doi.org/10.1016/j.cmpb.2020.105329)

[5] Da Ren, Pengfei Zhang, Qing Li, Xiaohui Tao, Junying Chen, Yi Cai. A Hybrid Representation-based Simile Component Extraction, Neural Computing and Applications, 32: 14655-14665. (2020 Impact Factor: 5.606, JCR Q1)

(https://doi.org/10.1007/s00521-020-04818-6)

[6] Zhiwei Wu, Changmeng Zheng, Yi Cai, Junying Chen, Ho-fung Leung, Qing Li. Multimodal Representation with Embedded Visual Guiding Objects for Named Entity Recognition in Social Media Posts, in Proceedings of ACM International Conference on Multimedia (ACM MM), 2020, 1038-1046.

(https://doi.org/10.1145/3394171.3413650)

[7] Qingbao Huang, Jielong Wei, Yi Cai, Changmeng Zheng, Junying Chen, Ho-fung Leung, Qing Li. Aligned Dual Channel Graph Convolutional Network for Visual Question Answering, in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020, 7166-7176.

(https://doi.org/10.18653/v1/2020.acl-main.642)

[8] Renxin Zhuang, Junying Chen*. Deep Learning Based Minimum Variance Beamforming for Ultrasound Imaging, in Proceedings of MICCAI Workshop on Smart Ultrasound Imaging (MICCAI-SUSI), 2019, 83-91.

(https://doi.org/10.1007/978-3-030-32875-7_10)

[9] Renxin Zhuang, Junying Chen*. High Contrast Minimum Variance Beamforming Combined with Convolutional Neural Network, in Proceedings of IEEE International Ultrasonics Symposium (IUS), 2019, 564-567.

(https://10.1109/ULTSYM.2019.8925661)

[10] Junying Chen, Feng Li, Yixuan Fu, Qun Liu, Jiajun Huang, Kai Li. A Study of Image Segmentation Algorithms Combined with Different Image Preprocessing Methods for Thyroid Ultrasound Images, in Proceedings of IEEE International Conference on Imaging Systems and Techniques (IST), 2017, 49-53.

(https://10.1109/IST.2017.8261449)

[11] Jinhui Chen, Junying Chen*, Huaqing Min. An Evolutionary Algorithm Using Multi Strategy Combination for Single Objective Optimization Problem, in Proceedings of IEEE International Conference on Computational Science and Engineering (CSE), 2017, 655-658.

(https://10.1109/CSE-EUC.2017.123)

[12] Junying Chen, Shunfeng Zhou, Huaqing Min. Implementation of Parallel Medical Ultrasound Imaging Algorithm on CAPI Enabled FPGA, in Proceedings of International Conference on Field-Programmable Technology (FPT), 2016, 311-314.

(https://10.1109/FPT.2016.7929569)

[13] Junying Chen, Shunfeng Zhou, Huaqing Min. Parallel Delay-and-sum Algorithm Implemented on SuperVessel Cloud with High-performance FPGA, in Proceedings of IEEE International Conference on High Performance Computing and Communications (HPCC), 2016, 1015-1020.

(https://10.1109/HPCC-SmartCity-DSS.2016.0144)

[14] Junying Chen, Hayden K.-H. So, Alfred C. H. Yu. Towards Establishing A Design Rule for Aperture Parameters in Minimum-variance Beamforming, in Proceedings of IEEE International Ultrasonics Symposium (IUS), 2013, 589-592.

(https://10.1109/ULTSYM.2013.0152)

[15] Junying Chen, Alfred C. H. Yu, Hayden K.-H. So. Design Considerations of Real-time Adaptive Beamformer for Medical Ultrasound Research using FPGA and GPU, in Proceedings of International Conference on Field-Programmable Technology (FPT), 2012, 198-205.

(https://10.1109/FPT.2012.6412134)

[16] Junying Chen, Billy Y. S. Yiu, Hayden K.-H. So, Alfred C. H. Yu. Real-time GPU-based Adaptive Beamformer for High Quality Ultrasound Imaging, in Proceedings of IEEE International Ultrasonics Symposium (IUS), 2011, 474-477.

(https://10.1109/ULTSYM.2011.0114)

[17] Hayden So, Junying Chen, Billy Yiu, Alfred Yu. Medical Ultrasound Imaging: To GPU or Not to GPU?, IEEE Micro, 2011, 31(5): 54-65. (2020 impact factor: 4.175, JCR Q1)

(https://doi.org/10.1109/MM.2011.65)

[18] Junying Chen, Billy Y.S. Yiu, Brandon K. Hamilton, Alfred C.H. Yu, Hayden K.-H. So. Design Space Exploration of Adaptive Beamforming Acceleration for Bedside and Portable Medical Ultrasound Imaging, SIGARCH Computer Architecture News, 2011, 39(4): 20–25.

(https://doi.org/10.1145/2082156.2082162)

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