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Prof. Yang Can

Associate professor ,

Tel:

Email: cscyang@scut.edu.cn

Department: School of Computer Science and Engineering

Office Location:

Research Interests: AI and Multimedia

Biography

Professor Yang Can is From Yiyang, Hunan, holds a Ph.D. in engineering and is a postdoctoral researcher. He is a graduate advisor, a member of the China Democratic League, and the vice-chairman of the Democratic League of Huagong. He is an Associate Professor and Xianshang Gang Professor at the School of Computer Science and Engineering, South China University of Technology (SCUT), Director of the Cloud Intelligent Service/Cloud Media Lab, and the founder of three major technologies: the Cross-Layer Neural Network Net95, the Best Adaptive Network Application Layer Multicast BANACAST, and the General Web Data Intelligence GWDI. Professor Yang participated in the development of China's first digital laser 3D scanner and the XY-20 trajectory planning system. He obtained his Bachelor's, Master's, and Ph.D. degrees in 1994, 1997, and 2002 from Huazhong University of Science and Technology (HUST), respectively, and completed his postdoctoral research in Computer Science and Technology at HUST from 2002 to 2004. In 2003, he was appointed as a graduate advisor at HUST. In 2005, he was appointed Associate Professor and graduate advisor at SCUT, and in 2012, he was promoted to Xianshang Gang Professor. Professor Yang was a visiting scholar at New York University (NYU) from 2013 to 2014. From 2017 to 2022, he served as a non-executive director and head of the Strategic Development Committee of New Media Co. (300770). His research and technology development primarily focus on multimedia, artificial intelligence, cloud computing, big data, and software engineering. He has led over 20 national and provincial-level research projects, as well as commissioned research and development projects from enterprises and institutions. Professor Yang has received the Second Prize of the National Radio and Television Administration's Science and Technology Innovation Award, the First and Second Prizes of the Guangdong Province Science and Technology Progress Award, and the Provincial-level Science and Technology Progress Award. He has also won the Chinese Postdoctoral Fund and the Excellent Paper Awards from the Guangdong Computer Society. He holds over 60 national patents, of which 35 have been granted, and 3 international PCT patents. Additionally, he has 11 software copyrights and has led the drafting of 7 international and domestic standards. He has published over 80 academic papers in prestigious journals and conferences, including IEEE Trans. on Information Forensics and Security, IEEE Trans. on Multimedia, IEEE Transactions on Biometrics, Behavior, and Identity Science, IEEE Transactions on Circuits and Systems for Video Technology, Chinese Journal of Electronics, Journal of Computer Science and Technology, ACM MMSys, and CVPR. He teaches courses such as Operating Systems, Software Engineering, Multimedia Communication Technology, Principles and Applications of Distributed Computing, and Network Media. Over 100 graduate students have been trained under his guidance, and his students have won multiple awards, including the Special Prize at the Guangdong Province Challenge Cup.


Email: cscyang@scut.edu.cn  WeChat: banacast


Team Overview:

The Cloud Intelligent Service Lab focuses on the research and development of core theories and key technologies for big data intelligence, cloud ecosystem service software, and large-scale multimedia communication network applications. Recent research directions include big data, artificial intelligence, recommendation systems, cloud engineering, P2P networks, coding, IPTV, and live video streaming. The lab is an interdisciplinary, internationally-oriented self-organizing research team initiated by core members of the former Multimedia and Graphics/Image Group (Prof. Hwang Kiang) at South China University of Technology. It is one of the top research teams in the Greater Bay Area, with a strong reputation in the academic community, consistently ranked on the China Scholars Network homepage. The lab has undertaken more than 20 national and provincial-level major projects, as well as international collaboration projects. It is a member of the national video encoding technology standards body and has an advanced in-house DevOps software R&D and operations management platform.

The team includes one IEEE Fellow, five professors, and five associate professors, with over 300 graduate and undergraduate students. They have published over 300 academic papers in prestigious journals and international conferences, including IEEE Transactions, Journal of Computer Science and Technology, CVPR, and InfoCom. More than 85% of their graduates have gone on to work at global Fortune 500 companies such as Huawei, Tencent, Alibaba, ByteDance, State Grid, and Southern Power Grid. The team has won numerous awards, including the Guangdong Province Excellent Graduate Thesis Award, the National Radio and Television Administration Science and Technology Innovation Award, and multiple Best Paper awards at international conferences like InfoCom. They hold over 100 authorized invention patents and 30+ software copyrights. The lab has contributed to the formulation of five Chinese national standards, two IETF international standards, and has published three international academic monographs.

The core technology of the Banacst Cloud Intelligent Adaptive Network Transmission developed by the lab has achieved international leading levels through national technical identification, with over 200 million visits and more than 20 million downloads. It once covered over 2,000 university campuses and was one of the most influential self-developed software in Chinese universities at the time. From 2010 to 2015, the lab developed and launched mobile multimedia live video service terminals and established related technical standards, marking the prototype system for today’s internet celebrity live streaming technology and playing a pioneering role in the development of personal video streaming services.

The lab has also developed the next-generation non-programming SAAS cloud service platform GWDI since 2011, which is one of the earliest low-code platforms for web intelligent learning model construction and reasoning experimentation. This technology has become one of the undisputed directions of modern software engineering development and is widely used in domestic and international software system development.

In terms of social service, the lab has provided high-quality technical services to organizations such as the Guangdong Provincial Government, State Grid, China Telecom, Guangdong Postal Service, Guangdong Provincial People's Hospital, Guangzhou TV Station, Guangzhou Technical Quality Supervision Bureau, Macau Polytechnic Institute, and others. It has also cooperated with Tsinghua University, Zhejiang University, the Institute of Automation of the Chinese Academy of Sciences, Shenzhen University, Guangdong University of Technology, Inspur, and Jinpeng in undertaking several national and provincial-level key research projects. Today, the Cloud Intelligent Service Lab continues to focus on the open ecosystem and passionately adheres to its original mission of exploring the future of science and serving social progress. The lab works hand-in-hand with industry elites to actively contribute to the development of big data-driven artificial intelligence in industries such as telecommunications, broadcasting, power, and finance by providing consulting and software system development services.


Education

Postdoctoral 

2002–2004, Huazhong University of Science and Technology (HUST), Computer Science and Technology

Doctor

1998–2002, Huazhong University of Science and Technology (HUST), Electronic Science and Technology

Master

1994–1997, Huazhong University of Science and Technology (HUST), Image Recognition and Artificial Intelligence

Bachelor

1990–1994, Huazhong University of Science and Technology (HUST), Electronic Science and Technology



Admission Information

WorkExperience

Social Position

Research Areas

Multimedia Communication

Software Engineering

Cloud Computing and Big Data Engineering

Pattern Recognition and Artificial Intelligence

Courses Taught

Operating Systems

Software Engineering

Distributed Computing Systems

Principles and Technologies of Multimedia Communication (Graduate Course)

Research Project

Selected Publications

  • Yang, Can*, Zhu, Yingying, Cheong, Ngai,Behavioral Fingerprints for User Identification via Unsupervised Matching, Supervised Learning of Data Augmentation, and Their Fusion,IEEE Transactions on Biometrics, Behavior, and Identity Science,2025
  • Can Yang, Junjie Zhai, Helong Li.,The upper bound of cumulative return of a trading series.,PLOS ONE , Public Library of Science (PLoS),2022
  • Chaojun Zhao, Can Yang, Ran Zhao. ,The Model of Cross-Tenant Information Access Control in SAAS Cloud. ,2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT) , IEEE,,2022
  • Zijian Zhang, Can Yang, Junshuai Wang, Gaoze Hou, Yaqing Yang.,Scalable Resource Provisioning For Multi-tenant SaaS With Cloud Functions.,2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT) , IEEE,,2022
  • Li, Guangyu;Qiu, Lina;Yu, Chenguang;Cao, Houwei;Liu, Yong;Yang, Can,IPTV Channel Zapping Recommendation With Attention Mechanism,IEEE Transactions on Multimedia,2021
  • Yang, Can;Wang, Lan;Cao, Houwei;Yuan, Qihu;Liu, Yong,User Behavior Fingerprinting With Multi-Item-Sets and Its Application in IPTV Viewer Identification,IEEE Transactions on Information Forensics and Security,2021
  • Shiying Pan, Can Yang, Runmin Li,GIP3: Make Privacy Preserving be Easier on Cloud.,EAI Endorsed Transactions on Security and Safety,2021
  • Yang, Can;Zhai, Junjie;Tao, Guihua,Deep Learning for Price Movement Prediction Using Convolutional Neural Network and Long Short-Term Memory,Mathematical Problems in Engineering,2020
  • Yang, Can;Pan, Shiying;Li, Runmin;Liu, Yu;Peng, Lizhang,A Coding-Free Software Framework for Developing Lightweight Web Data Management Systems,Applied Sciences-Basel,2020
  • 吴颂涛;王意;王澜;杨灿,网络电视用户行为计算建模与统计分析,计算机科学与应用,2019
  • Yang, Can;Sun, Tianli;Guan, Yunan,On Fast Channel Switching With a Parallel Multiple Channels Streaming in P2P Systems,2019
  • Yang Can*, Zhai Junjie, Zhang Xing,FAT: A Fractal-Assisted Technical Trade Method in Stock Markets,2019 International Conference on Social Science, Economics and Management Research (SSEMR 2019),2019
  • Yang, Can;Ren, Sixuan;Liu, Yong;Cao, Houwei;Yuan, Qihu;Han, Guoqiang,Personalized Channel Recommendation Deep Learning From a Switch Sequence,IEEE Access,2018
  • Lv, Jianming;Chen, Weihang;Li, Qing;Yang, Can,Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns,CVPR,2018
  • Zheng, Yuanhuan;Wu, Di;Ke, Yihao;Yang, Can;Chen, Min;Zhang, Guoqing,Online Cloud Transcoding and Distribution for Crowdsourced Live Game Video Streaming,IEEE Transactions on Circuits and Systems for Video Technology,2017
  • Yu, Chenguang;Ding, Hao;Cao, Houwei;Liu, Yong;Yang, Can,Follow me: Personalized IPTV channel switching guide,2017
  • Yang, Can;Liu, Yong,On Achieving Short Channel Switching Delay and Playback Lag in IP-Based TV Systems,IEEE Transactions on Multimedia,2015
  • Lv Jianming*;Zhu Chaoyun;Tang Shaohua;Yang Can;Lv J.*;Zhu C.;Tang S.;Yang C.,Deepflow: Hiding anonymous communication traffic in P2P streaming networks,Wuhan University Journal of Natural Sciences,2014
  • Lv, Jianming*;Chen, Jianwen;Yang, Can,PACS: Parasitic anonymous communication in peer-to-peer streaming network,Journal of Computational Information Systems,2014
  • Lv Jianming;Yang Can;Liang Kaidong,GRACE: A Gradient Distance-Based Peer-to-Peer Network Supporting Efficient Content-Based Retrieval,2014
  • Lv Jianming;Lin Haibiao;Yang Can;Yu Zhiwen;Chen Yinghong;Deng Miaoyi,Identify and Trace Criminal Suspects in the Crowd Aided by Fast Trajectories Retrieval,2014
  • 杨灿;符航宇;刘侃,基于Flex的网络电视互动平台的设计与实现,计算机工程与科学,2011
  • 杨灿;祁特立,新媒体和三网融合的技术突破——面向互联网的新媒体业务融合平台,中国科技成果,2011
  • Yang Can;Li Yongyan;Chen Jinglong,A New Mobile Streaming System Base-on Http Live Streaming Protocol,2011
  • 杨灿;李丹;黄辉泽,Banacast:基于三网融合的新媒体内容承载平台,广播与电视技术,2010
  • 李旭光;阮伟明;杨灿,广视网P2P网络电视系统研究,有线电视技术,2010
  • 刘继忠;杨灿,网络视频服务接入控制及计费的研究与实现,计算机工程与设计,2010
  • Yang, Can;Liang, Shang-Tao;Chen, Xin-Xin;Chen, Ye-Wei,Design and implementation of intelligent acquisition and fast processing recording system for IPTV platform,2010
  • 黄宝雄;李建光;陈智聪;杨灿,网络电视自动化EPG系统设计与实现,广播与电视技术,2010
  • 杨灿;彭利章;黄辉泽,Banacast技术突破:自主可控的新媒体平台,广播与电视技术,2010
  • 陈业伟;杨灿;陈新新;黄辉泽,手机短信在IPTV后台监视中的应用,计算机应用与软件,2010
  • Yang, Can;Zhuang, Xuda;Lei, Zhiming,A method of geographic information acquirement based on subdivision coloration for a zone,2010
  • 黄辉泽;雷志明;杨灿,基于分布式架构的IP电视用户行为分析系统,有线电视技术,2009
  • Yang Can;Chen Yuanqiong;Shen Yilong,The Research on a P2P Transcoding System Based on Distributed Farming Computing Architecture,2009
  • 黄辉泽;黄宝雄;李建光;詹新明;杨灿;阮伟明,P2P网络新媒体平台运行维护与信息安全管理,有线电视技术,2009
  • 张冲;杨灿;杨泽铨;黄辉泽,RTMP协议在P2P流媒体系统中的应用,电视技术,2009
  • Chen, Xin Xin;Yang, Can;Chen, Ye Wei,Banacast: A fast adaptive application layer multicast network for P2P live streaming,2009
  • 李建光;黄宝雄;陈业伟;杨灿,基于网络电视的互动平台设计,有线电视技术,2009
  • 王锋;胡开明;杨灿;邬鹏翚,面向教育网消费群体的邮政电子商务研究,邮政研究,2009
  • 黄宝雄;李建光;黄辉泽;陈新新;陈业伟;杨灿,P2P网络电视系统,广播与电视技术,2009
  • 黄辉泽;黄宝雄;杨灿,面向互联网的新媒体业务融合平台,广播与电视技术,2009
  • Chen Ye Wei;Yang Can;Chen Xin Xin;Huang Hui Ze,DESIGN AND IMPLEMENTATION OF INTEGRATED MONITORING SYSTEM FOR IPTV PLATFORM,2009
  • 黄辉泽;沈一龙;杨灿,广州电视台网络新媒体平台运行支撑系统设计与实现,有线电视技术,2009
  • 黄宝雄;李建光;陈智聪;杨灿,时移网络电视TSEPG系统的设计与实现,有线电视技术,2009
  • 杨灿;陈新新;梁尚韬;胡劲松,混合型时移网络电视系统设计与实现,华中科技大学学报(自然科学版),2009
  • Yang Can;Chen Zhi Cong;Lian Bin Xiong;Huang Hui Ze,DESIGN AND IMPLEMENTATION OF A NOVEL ROBOTICIZED EPG SYSTEM OF NETWORK TV,2009
  • 黄辉泽;雷志明;杨灿,基于分布式架构的IP电视用户行为分析系统,有线电视技术,2009
  • Yang Can;Chen Yuanqiong;Shen Yilong,The Research on a P2P Transcoding System Based on Distributed Farming Computing Architecture,2009
  • 黄辉泽;黄宝雄;李建光;詹新明;杨灿;阮伟明,P2P网络新媒体平台运行维护与信息安全管理,有线电视技术,2009
  • 张冲;杨灿;杨泽铨;黄辉泽,RTMP协议在P2P流媒体系统中的应用,电视技术,2009
  • 杨灿;张冲;杜玮;黄辉泽,基于新型P2P与CDN融合技术的流媒体系统设计,电视技术,2009
  • 李建光;黄宝雄;陈业伟;杨灿,基于网络电视的互动平台设计,有线电视技术,2009
  • 王锋;胡开明;杨灿;邬鹏翚,面向教育网消费群体的邮政电子商务研究,邮政研究,2009
  • 黄辉泽;黄宝雄;杨灿,面向互联网的新媒体业务融合平台,广播与电视技术,2009
  • 黄宝雄;李建光;陈智聪;杨灿,时移网络电视TSEPG系统的设计与实现,有线电视技术,2009
  • Lin Yu Heng;Yang Can;Chen Xin Xin,DESIGN AND IMPLEMENTATION OF EMBEDDED P2P STREAMING MEDIA SYSTEM,2009
  • 杨灿;汤圣博;黄辉泽,企业级P2P视频会议系统设计与实现,计算机技术与发展,2009
  • 詹新明;杨灿,基于MATLAB和BP网络的语音识别系统,微计算机信息,2009
  • 杨灿;陈新新;梁尚韬;胡劲松,混合型时移网络电视系统设计与实现,华中科技大学学报(自然科学版),2009
  • Yang Can;Chen Zhi Cong;Lian Bin Xiong;Huang Hui Ze,DESIGN AND IMPLEMENTATION OF A NOVEL ROBOTICIZED EPG SYSTEM OF NETWORK TV,2009
  • Yang, Can;Chen, Xinxin;Liang, Shangtao;Hu, Jingsong,Implementation and design of hybrid time-shifted network television,Journal of Huazhong University of Science and Technology (Natural Science Edition),2009
  • 胡开明;杨灿;汤圣博;Chen Xiaoling,面向教育网消费群体邮政电子商务的研究,现代邮政,2009
  • 詹新明;黄南山;杨灿,语音识别技术研究进展,现代计算机(专业版),2008
  • Tang Jing;Yang Can;Chen Xinxin,Explore new profiting method for TV based on P2P streaming media technology,2006
  • 杨灿;卢正鼎;邹雪城,可伸缩分布式VOD系统的设计与实现,华中科技大学学报(自然科学版),2005
  • 杨灿,邹雪城,卢正鼎,大规模交互式视频服务系统研究综述 ,广播与电视技术,2004
  • 杨灿,一种基于移动数据通信的新型VoD系统,电视技术,2004
  • 杨灿,邹雪城等,基于.NET的分布式VOD系统设计与实现,有线电视技术,2004
  • 杨灿, 卢正鼎.,基于排队模型的视频点播系统设计与分析,电视技术,2004
  • 张科峰,杨灿,邹雪城,徐重阳,媒体服务器的体系结构与性能分,电视技术,2003
  • 杨灿, 卢正鼎.,交互式VOD视频源非线性智能分段算法,计算机学报,2003
  • 杨灿,徐重阳,刘政林,VOD系统批处理调度策略优化研究,计算机学报,2002
  • 孙燕,徐重阳,杨灿,基于因特网的流式媒体技术,电视技术,2002
  • Can Yang*, Xu Chongyang, Liu Zhenglin, Liu Weizhong, An unequal segmentation algorithm for video in video-on-demand system,Chinese Journal of Electronics,2002
  • 刘政林;徐重阳;刘卫忠;杨 灿;雷 旭,基于DOCSIS协议的HFC网络的性能仿真,计算机工程,2002
  • 杨灿;徐重阳;代胜利;张勇,基于专网IP电话技术构建集中式呼叫中心,电信科学,2001
  • 杨灿,徐重阳,刘政林,交互式VOD系统差速同步控制策略,华中科技大学学报(自然科学版),2001
  • 杨灿,徐重阳,刘为忠,刘政林,杜江红,VOD系统多点广播调度策略研究,电视技术,2001
  • 杨灿 , 刘斌,广东邮政185客户服务中心系统,中国邮政, 2001,(6):22-23,2001
  • 李德华,杨灿,胡昌赤,地形匹配区选择准则研究,华中理工大学学报,1996
  • Yang Can*, Li Dehua, Zhu Yanwen,A car shape classification based on neural networks with non-adjacent layer connection,Proc. IEEE Int. Conf. Neural Netw. Signal Process. ICNNSP95,1995

Achievements

Patent

Honor

Software achievement