姓名：杨佳
职称：讲师
方向：图像处理、视频编码与传输、机器视觉
系别：通信工程系
团队：智能信息处理
邮箱：yangjia@cuit.edu.cn; YJ_cuit@163.com
【个人简介】
杨佳，女，讲师，中共党员，博士研究生学历，博士学位。主要研究方向包括图像处理、视频编码与传输、计算机视觉。近年来，她的研究主要集中于基于机器学习的视频编码。研究成果发表在国内外高水平期刊和重要学术会议上。主持或参与了多项国家自然科学基金项目、中央引导地方科技发展基金面上项目、中央高校基础研究基金项目、四川省教育厅科研项目、企业横向合作等项目。
【讲授课程】
讲授的课程包括《互联网程序设计》、《高级程序设计语言》、《嵌入式系统设计》、《数据结构与算法》、《软件综合设计》、《数据通信与计算机网络》等课程。
【科研项目】
1. 四川省中央引导地方科技发展基金面上项目, 深部储层弱信息提取的量子分析理论和估计方法研究，2021ZYD0030，2021-06至2022-06，主研。
2. 国家自然科学基金委员会，国际（地区）合作与交流项目，61881330160，信息与通信技
术在山区自然灾害救援中的应用，2018-01至2018-12，参与。
3. 省教育厅，青年基金，16ZB0220，基于云转码的低功耗视频编解码关键技术研究，2016-07
至2018-12，主持。
4. 国家自然科学基金委员会，面上项目，61471248，结合超分辨率重建的图像及视频新型压缩编码技术研究，2015-01至2018-12，参与。
5. 四川大学优秀青年学者科研基金项目，2015SCU04A11，基于云转码的低功耗隐私保护视频通信关键技术研究，2015-01至2017-12，主研。
6. 国家自然科学基金委员会，青年科学基金项目，61201388，面向WMSN的分布式多视点视频编码及鲁棒传输关键技术研究，2013.01至2015.12，参与。
7. 企业合作项目，半导体器件参数测试系统，2019.08-2019.12，主持。
8. 企业合作项目，半导体芯片注量耐受性能测试系统，2020.05-2020.12，主持。
【论文】
1. Jia Yang, Pi-Yan He, Hong Yang, Ya-Juan Xue. Yan-Hua Jin. Machine Learning-Based Fast
Transcoding for Low-power Video Communication in Internet of Things. Signal, Image and
Video Processing, 2022. https://doi.org/10.1007/s 11760-022-02182-7. (SCI)
2. Jia Yang, Linbo Qing, Wenjun Zeng, Xiaohai He. High-Order Statistical Modeling Based on a
Decision Tree for Distributed Video Coding. IEEE Transactions on Circuits and Systems for Video Technology, 2019, 29(5):1488-1502. (SCI)
3. Jia Yang, Linbo Qing, Xiaohai He, Ling Hua, Song Rong. A Fast DVC to HEVC Transcoding
for Mobile Video Communication. In Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC 2019), Chengdu, March 15-17, 2019.
4. Jia Yang, Xiaohai He, Linbo Qing, Shuhua Xiong, Yonghong Peng. A New Progressively
Refined Wyner-Ziv Video Coding for Low-Power Human-Centered Telehealth. IEEE Access, 2018, 6(1): 38315-38325. (SCI)
5. Piyan, He, Jia Yang*. Adaptive Group-of-Picture Size Control Based on Side Information
Quality Analysis for Distributed Video Coding, Solid State Technology, 2021,64(2):3348-3357.
6. Hong Yang, Linbo Qing, Jia Yang, Xiaohai He. Progressively Refined Scheme for Wireless
Video Sensor Networks. Signal, Image and Video Processing, 2022, https://doi.org/10.1007/s11760-021-02064-4. (SCI)
英文简介
Name：Jia Yang
Degrees: PhD degree in Communication and Information Systems
Title：Lecturer
Department：College of Communication Engineering
Research interests：Image Processing, Video Coding and Transmission,
and Computer Vision
Research team：Intelligent Information Processing
E-mail：yangjia@cuit.edu.cn; YJ_cuit@163.com
【Biography】
Jia Yang’s main research includes image processing, video coding and transmission, and computer vision, particularly on the low-power video coding which is related to the work in human-centred computing, smart infrastructure groups, and with the emerging areas of green computing for enabling sustainability. She has involved in and contributed to a number of research projects funded by the National Natural Science Foundation of China, Central Government Funds, Sichuan Education Department Funds, etc. She has published high quality papers and made contribution to the field.
【Courses &Teaching】
Undergraduate course："Internet Programming", "Advanced Programming Language", "Embedded System Design", "Data Structure and Algorithm", "Software Integrated Design Projects", "Data Communication and Computer Network" and other courses.
【Projects】
1. Research on Quantum Analysis Theory and Estimation Method for Weak Information Extraction in Deep Reservoir, Central Government Funds of Guiding Local Scientific and Technological Development, Sichuan Province (Grant No.2021ZYD0030), 2021.06-2022.06. (Co-investigator)
2. Application of Information and Communication Technology in Mountain Natural Disaster Rescue, National Natural Science Foundation of China (Grant No. 61881330160), 2018.01-2018.12. (Project Team member)
3. Research on Key Technology of Low-Power Video Coding and Decoding Based on Cloud Transcoding, Sichuan Education Department Funds (Grant No. 16ZB0220), 2016.06-2018.12. (Principal Investigator)
4. Research on New Image and Video Compression Coding Technology Combined with Super Resolution Reconstruction, National Natural Science Foundation of China (Grant No.61471248), 2015.01-2018.12. (Project Team member)
5. Research on Key Technologies of Low-Power Privacy Protection Video Communication Based on Cloud Transcoding, Research Foundation for Outstanding Young Scholars of Sichuan University, (Grant No. 2015SCU04A11), 2015.06-2017.06. (Co-Investigator)
6. Key Technologies of Distributed Multi-View Video Coding and Robust Transmission for Wireless Multimedia Sensor Networks, National Natural Science Foundation of China (Grant No. 61201388), 2013.01-2015.12. (Project Team member)
7. Semiconductor Device Parameter Test System. Cooperation project with the enterprise. 2019.08-
2019.12. (Principal Investigator)
8. Semiconductor Chips Radiation Tolerance Test System. Cooperation project with the enterprise. 2020.05-2020.12. (Principal Investigator)
【Publications & Presentations】
1. Jia Yang, Pi-Yan He, Hong Yang, Ya-Juan Xue. Yan-Hua Jin. Machine Learning-Based Fast
Transcoding for Low-power Video Communication in Internet of Things. Signal, Image and
Video Processing, 2022. https://doi.org/10.1007/s 11760-022-02182-7.
2. Jia Yang, Linbo Qing, Wenjun Zeng, Xiaohai He. High-Order Statistical Modeling Based on a
Decision Tree for Distributed Video Coding. IEEE Transactions on Circuits and Systems for Video Technology, 2019, 29(5):1488-1502.
3. Jia Yang, Linbo Qing, Xiaohai He, Ling Hua, Song Rong. A Fast DVC to HEVC Transcoding
for Mobile Video Communication. In Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC 2019), Chengdu, March 15-17, 2019.
4. Jia Yang, Xiaohai He, Linbo Qing, Shuhua Xiong, Yonghong Peng. A New Progressively
Refined Wyner-Ziv Video Coding for Low-Power Human-Centered Telehealth. IEEE Access, 2018, 6(1): 38315-38325.
5. Piyan, He, Jia Yang*. Adaptive Group-of-Picture Size Control Based on Side Information
Quality Analysis for Distributed Video Coding, Solid State Technology, 2021,64(2):3348-3357.
6. Hong Yang, Linbo Qing, Jia Yang, Xiaohai He. Progressively Refined Scheme for Wireless
Video Sensor Networks. Signal, Image and Video Processing, 2022, https://doi.org/10.1007/s11760-021-02064-4.
