Chen Junying

Time:2022-11-25

Contact Information

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

E-mail: jychense@scut.edu.cn 

Brief Introduction

Junying Chen is a recipient of the Young Innovative Talent Program of Universities in Guangdong Province, an expert in the Digital Government of Guangdong Province, and an expert in the Chinese Association of Automation. She is the Assistant Director of the Key Laboratory of Big Data and Intelligent Robot (KLBDIR) of the Ministry of Education (MoE), the Principal Investigator of the Intelligent Medical Image Processing Laboratory of KLBDIR (MoE), the Core Member of the research team of intelligent software and robots in South China University of Technology, and the Associate Director of the Teaching Steering Committee of the School of Software Engineering.

She is the Distinguished Member of China Computer Federation, the Senior Members of IEEE, China Society of Image and Graphics, and Chinese Society of Biomedical Engineering. She is also the member of IEEE-HKN, IEEE-CIS, IEEE-WIE, ACM, ACM-W, AAAI, MICCAI, and ACL. She mainly engages in scientific research in pattern recognition, deep learning, intelligent image processing, medical ultrasound imaging, high-performance computing, etc. She is the principal investigator of research projects funded by National Natural Science Foundation of China, Guangdong Natural Science Foundation, Guangzhou Science and Technology Program, National Key Laboratory open project, and Fundamental Research Funds for Central Universities projects, and participates in a number of national, ministerial, and provincial key research projects. She published more than 40 papers in academic journals and conferences as the first author or corresponding author, is authorized 1 invention patent, 5 utility model patents, and 27 software copyrights, published 2 books, edited 3 conference proceedings, and received the Second Prize for Technological Invention from China Computer Federation Science and Technology Award and Second Prize of Excellent Papers of Guangdong Computer Academy.

The highest number of citations for a single paper is 220 (which is published in CVPR 2021), and the results of the paper were reported in the Quick Review column of the Chinese Society of Image and Graphics. The research results have been launched in the form of WeChat applets for nearly 2 years, have been promoted and applied in many hospitals in Guangdong Province, Jiangxi Province, etc., and have been selected into Technical Public Welfare Case Collection in China Computer Federation 2022.

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

 

Education Background

2007-2013  Ph.D. in Electrical and Electronic Engineering, The University of Hong Kong (Supervisors: Hayden K.-H. So & Victor O. K. Li)

2003-2007  B.E. in Electronic Information Engineering (Outstanding Graduates), Zhejiang University

 

Working Experience

Since 2019 Assistant Director of the Key Laboratory of Big Data and Intelligent Robot, Ministry of Education

Since 2017 Associate Professor with School of Software Engineering, South China University of Technology

2013-2017 Assistant Professor with School of Software Engineering, South China University of Technology

 

Teaching Courses

Undergraduate Courses:

Digital Logic (English-Medium Instruction course) for 1st year students

Computer Organization and Architecture for 2nd year students

Intelligent Software Project Training for 3rd year students

Embedded System Software Design for 3rd year students

Embedded Software Project Training for 3rd year students

Final Year Project for 4th year students

Postgraduate Course:

Hardware/software Co-design for 1st year students

 

Academic Services

[1] APWeb-WAIM 2021 Publication Chair, Local Arrangement Chair, Session Chair and Program Committee Member; ACM MM 2021 Session Chair; ICEBE 2021 Session Chair, ICEBE 2022 Program Committee Member; ICONIP 2020, 2021 and 2022 Program Committee Member; etc. 

[2] Reviewers: ACM Computing Surveys, IEEE TNNLS, IEEE TIP, IEEE TCYB, IEEE TSMC, IEEE TBME, IEEE THMS, IEEE TUFFC, Artificial Intelligence, Digital Communications and Networks, ISA Transactions, Biomedical Signal Processing and Control, NeurIPS 2022, ICME 2021 & 2022, MICCAI 2022, SMC 2022, ChinaMM 2022, PRCV 2022, WACV 2023, etc.


Research Interests

Deep learning algorithms and network architectures, Pattern recognition, Image processing, Medical image segmentation and intelligent diagnosis, Multi-modal image data fusion, Medical ultrasound imaging, Multi-modal text and image data analysis, Heterogeneous parallel acceleration and analysis.

 

Authorized Patents

[1] Junying Chen, Haijun You. An Automatic Segmentation Method of Thyroid Ultrasound Images Based on A Radial Basis Neural Network, Invention Patent, ZL201810277505.0, 2022.05.

[2] Guoyan Liang, Junying Chen, Yunbing Chang, Illness Monitoring Ankle Ring, Utility Model Patent, ZL202120995078.7, 2022.05.

[3] Guoyan Liang, Junying Chen, Yunbing Chang, Accompanying Frame for Lower Limb Motor Function Assessment, Utility Model Patent, ZL202120544388.7, 2022.05.

[4] Guoyan Liang, Junying Chen, Yunbing Chang, Hand Movement Testing Machine for Neurological Function Assessment, Utility Model Patent, ZL202120544681.3, 2022.01.

[5] Guoyan Liang, Junying Chen, Yunbing Chang, Multi-angle Detection Platform for Hand Grip Experiment, Utility Model Patent, ZL202120544631.5, 2022.01.

[6] Guoyan Liang, Junying Chen, Yunbing Chang, Detection Pad for Stepping Motion Experiment, Utility Model Patent, ZL202120545174.1, 2021.12.

 

Books

Writing (Translation):

[1] Junying Chen, Digital Design and Computer Architecture (Chinese Edition · ARM Edition), China Machine Press, 800,000 words, 2019.

[2] Junying Chen, Digital Design and Computer Architecture (Chinese Edition · 2nd Edition), China Machine Press, 774,000 words, 2016.

Editing:

[1] Leong Hou U, Marc Spaniol, Yasushi Sakurai, Junying Chen (Eds.), Web and Big Data, 5th International Joint Conference, APWeb-WAIM 2021, Proceedings, Part I, 2021.

(https://link.springer.com/book/10.1007/978-3-030-85896-4)

[2] Leong Hou U, Marc Spaniol, Yasushi Sakurai, Junying Chen (Eds.), Web and Big Data, 5th International Joint Conference, APWeb-WAIM 2021, Proceedings, Part II, 2021.

(https://link.springer.com/book/10.1007/978-3-030-85899-5)

[3] Yunjun Gao, An Liu, Xiaohui Tao, Junying Chen (Eds.), Web and Big Data. APWeb-WAIM 2021 International Workshops, Proceedings, 2021.

(https://link.springer.com/book/10.1007/978-981-16-8143-1)

 

Journal and Conference Papers

[1] Zhigang Dai, Bolun Cai, Yugeng Lin, Junying Chen*. Unsupervised Pre-training for Detection Transformers, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (Impact Factor: 24.314, JCR Q1)

(https://doi.org/10.1109/TPAMI.2022.3216514)

[2] Zhigang Dai, Junying Chen*, Ajmal Mian. Spatial Consistency and Feature Diversity Regularization in Transfer Learning for Fine-Grained Visual Categorization, in Proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2022.

[3] Zhigang Dai, Bolun Cai, Junying Chen*. UniMoCo: Unsupervised, Semi-Supervised and Fully-Supervised Visual Representation Learning, in Proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2022.

[4] Shuhao Zheng, Guoyan Liang, Junying Chen*, Yongyu Ye, Yunbing Chang, Yi Cai, Shaowu Peng. Diagnostic Prediction for Cervical Spondylotic Myelopathy Based on Multi-source Data in Electronic Medical Records, in Proceedings of International Conference on Web Information Systems and Applications (WISA), 2022.

[5] Shuhao Zheng#, Guoyan Liang#, Junying Chen*, Qifei Duan, Yunbing Chang. Severity Assessment of Cervical Spondylotic Myelopathy Based on Intelligent Video Analysis, IEEE Journal of Biomedical and Health Informatics (JBHI), 2022. (Impact Factor: 7.021, JCR Q1)

(https://doi.org/10.1109/JBHI.2022.3184870)

Reported by Guangdong Provincial People's Hospitalhttps://mp.weixin.qq.com/s/Zu6OywsgdTHhM3fMUWQcBA

[6] Jiachen Zhong, Junying Chen*, Ajmal Mian. DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022. (Impact Factor: 14.255, JCR Q1)

(https://doi.org/10.1109/TNNLS.2022.3151138)

Report by CSIGhttps://mp.weixin.qq.com/s/neWStSQZJUGSk9OHm678fw

[7] Ren Yang, Radu Timofte, ..., Yulin Huang, Junying Chen, ... NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results, in Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2022, 1221-1238.

[8] Longguang Wang, Yulan Guo, ..., Yulin Huang, Junying Chen. NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results, in Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2022, 906-919.

[9] Yulin Huang, Junying Chen*. Improved EDVR Model for Robust and Efficient Video Super-Resolution, in Proceedings of IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, 2022, 103-111.

(https://doi.org/10.1109/WACVW54805.2022.00016)

[10] Yixuan Fu, Junying Chen*, Kai Li. Structure-aware Loss Function for Ultrasound Image Segmentation, in Proceedings of IEEE International Ultrasonics Symposium (IUS), 2021.

(https://doi.org/10.1109/IUS52206.2021.9593773)

[11] Junzhao Liang, Junying Chen*. Data Augmentation of Thyroid Ultrasound Images Using Generative Adversarial Network, in Proceedings of IEEE International Ultrasonics Symposium (IUS), 2021.

(https://doi.org/10.1109/IUS52206.2021.9593403)

[12] 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.Oral Presentation, Cited 220 times (Data source: Google Scholar)

(https://doi.org/10.1109/CVPR46437.2021.00165)

[13] 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 (TNNLS), 2020, 31(7): 2653-2664. (Impact Factor: 14.255, JCR Q1)Second Prize of Excellent Papers of Guangdong Computer Academy 2021

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

[14] Junying Chen, Jinhui Chen, Renxin Zhuang, Huaqing Min. Multi-operator Minimum Variance Adaptive Beamforming Algorithms Accelerated with GPU, IEEE Transactions on Medical Imaging (TMI), 2020, 39(9): 2941-2953. (Impact Factor: 11.037, JCR Q1)

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

[15] 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 (CMPB), 2020, 185(105329): 1-18. (Impact Factor: 7.027, JCR Q1)

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

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

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

[17] 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)

[18] 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)

[19] Renxin Zhuang, Junying Chen*. Deep Learning Based Minimum Variance Beamforming for Ultrasound Imaging, in Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI) Workshops, 2019, 83-91.

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

[20] 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://doi.org/10.1109/ULTSYM.2019.8925661)

[21] 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://doi.org/10.1109/IST.2017.8261449)

[22] 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://doi.org/10.1109/CSE-EUC.2017.123)

[23] 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://doi.org/10.1109/FPT.2016.7929569)

[24] 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://doi.org/10.1109/HPCC-SmartCity-DSS.2016.0144)

[25] 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://doi.org/10.1109/ULTSYM.2013.0152)

[26] 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://doi.org/10.1109/FPT.2012.6412134)

[27] 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://doi.org/10.1109/ULTSYM.2011.0114)

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

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

[29] 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, ACM SIGARCH Computer Architecture News, 2011, 39(4): 20–25.

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



TOP