基本信息

个人简介

陈俊颖，教授，博士生导师，国家卓越工程师学院导师，广东省软件开发与服务工程技术研究中心副主任，大数据与智能机器人教育部重点实验室主任助理，多模态信息处理及机器人研究室负责人，软件学院教职工代表大会执行委员会副主任，具备学术型和专业型硕博士研究生导师资格；中国图象图形学学会（CSIG）石青云女科学家（全国5位），中国计算机学会（CCF）杰出会员，ACM杰出演讲者，CCF杰出演讲者，CCF YOCSEF优秀分论坛学术秘书（全国4位），CSIG科普先进工作者，广东省优秀青年基金获得者，广东省高等学校青年创新人才；CCF YOCSEF广州副主席，CSIG广州副秘书长，国际学术期刊Pattern Recognition（影响因子7.6）Associate Editor。

主持国家自然科学基金重点项目课题、广东省自然科学基金优秀青年基金、工信部制造业高质量发展专项子任务、深圳市科技重大专项课题等十多个项目和课题；以第一作者或通讯作者在TPAMI、TNNLS、TMI、TUFFC、JBHI等学术期刊和CVPR、SMC、IROS等学术会议上发表相关论文，单篇论文最高他引超过700次；研究成果入选CCF技术公益年度案例，获得CSIG石青云女科学家奖、广东省计算机学会青年科技奖、广东省人工智能产业协会科学技术奖青年科技创新奖、广东省计算机学会科学技术奖科技进步一等奖（1/14）、广东省精准医学科学技术奖科技创新一等奖（1/15）、深圳人工智能科技进步奖（1/9）、广东高校最具转化价值知识产权奖（1/2）、CCF科学技术奖技术发明二等奖（4/8）、广东省计算机学会优秀论文奖一等奖（唯一通讯作者）等奖励；主讲超过50次特邀学术报告，包括中国模式识别与计算机视觉大会、中国智能机器人学术年会、CSIG青年科学家会议、CCF走进国际高校、CCF走进高校、海峡两岸暨港澳女科学家论坛等，多次学术报告活动被人民日报报道。

学历

2007-2013 香港大学电机电子工程博士，导师：李安国（Victor O.K. Li）教授（香港工程科学院院士、长江学者讲席教授） & 苏国希（Hayden K.-H. So）副教授

2003-2007 浙江大学电子信息工程学士（优秀毕业生）

教学经历

本科生课程：

数字逻辑（全英课程） 大一下学期

计算机组成与体系结构 大二上学期

智能软件项目实训 大三下学期

嵌入式系统软件设计 大三下学期

嵌入式软件项目实训 大三下学期

本科毕业设计 大四

研究生课程：

软硬件协同设计 研一下学期

工作经历

2025至今广东省软件开发与服务工程技术研究中心副主任

2023至今华南理工大学软件学院教授

2019至今多模态信息处理及机器人研究室负责人

2019至今大数据与智能机器人教育部重点实验室主任助理

2017-2023 华南理工大学软件学院副教授

2014-2017 华南理工大学软件学院讲师

研究方向

1、人工智能算法与模型架构：大模型、扩散模型、Transformer、轻量化神经网络、神经架构搜索、自适应动态网络、生成对抗网络、胶囊网络、图神经网络、自监督学习、对比学习、多源多模态特征融合、性能评测基准

2、智能临床辅助诊疗软件及机器人：医学视频分析与诊断决策、多模态临床医疗信息融合分析、机器视觉引导手术软件、具身智能、机器人精细操作、医学图像处理、超声成像与图像生成、超声数据滤波

发表文章

[1] Zhigang Dai, Bolun Cai, Yugeng Lin, Junying Chen*. Unsupervised Pre-training for Detection Transformers, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. (Impact Factor: 24.314, JCR Q1) (https://doi.org/10.1109/TPAMI.2022.3216514)

[2] Jiachen Zhong, Junying Chen*, Ajmal Mian. DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. (Impact Factor: 14.255, JCR Q1) (https://doi.org/10.1109/TNNLS.2022.3151138)

[3] 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, 522-529. (https://doi.org/10.1109/SMC53654.2022.9945500)

[4] 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, 3099-3106. (https://doi.org/10.1109/SMC53654.2022.9945315)

[5] 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, 462–470. (https://doi.org/10.1007/978-3-031-20309-1_41)

[6] 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, 26(9): 4486-4496. (Impact Factor: 7.021, JCR Q1) (https://doi.org/10.1109/JBHI.2022.3184870)

[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.

(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)

(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)