oct. 23, 2021 - oct. 25, 2021 huizhou · guangdong

Oct. 23, 2021 - Oct. 25, 2021

Huizhou · Guangdong

CON

TENTS

Committee 03

Presentation Instructions 10

Agenda Overview 12

Detailed Agenda 14

Keynote Speech 16

Paper Session 38

Venue 46

Conference Committee

SAGC 2021

> General ChairsSong Guo The Hong Kong Polytechnic University

Ning Zhang University of Windsor

Hongman Wang Beijing University of Posts and Telecommunications

Jianqing Lee Macau University of Science and Technology

> Program Chairs

Rongke Liu Beihang University

Baoling Liu Beijing University of Posts and Telecommunications

Suzhi Cao Technology and Engineering Center for Space Utilization

Hui Jiang Huizhou University

Guoming Lai Huizhou University

> Vice General Chairs

Ao Zhou Beijing University of Posts and Telecommunications

Jianzhong Cao Huizhou University

Kwok L. Chung Alan Huizhou University

> Honorary ChairPing Zhang Beijing University of Posts and Telecommunications

3

> Publicity ChairsXiaobin Xu Beijing University of Technology

Kok-Seng Wong Vin University

Changhee Joo Korea University

Yuben Qu Shanghai Jiao Tong University

Wei Jin Huizhou University

> Publication ChairsLingyan Zhang Central South University

Hua Jiang Huizhou University

> Vice Program ChairsMengwei Xu Beijing University of Posts and Telecommunications

Gang Peng Huizhou University

> Local ChairsLu Chen Huizhou University

Zhen Wang Huizhou University

Huabin Wang Huizhou University

Tao Xu Huizhou University

Xiaohuan Zhang Huizhou University

Haiyang Yu Huizhou University

> Register ChairsXiao Ma Beijing University of Posts and Telecommunications

Yue Ma Huizhou University

4

> TPC MemberXianfu Chen VTT Technical Research Centre of Finland

Suzhi Cao Chinese Academy of Sciences

Kaijun Ren National Univ. of Defense Technology

Celimuge Wu University of Electro-Communications

Nan Zhao Dalian University of Technology

Tingting Zhang Harbin Institute of Technology, Shenzhen

Mohamed Mahmoud Tennessee Technological University

Dajiang Chen University of Electronic Science and Technology of China

Kok-Seng Wong Vin University

Sai Mounika Errapotu University of Texas at El Paso

Zhi Liu Shizuoka University

Hassan Aboubakr Omar Huawei Inc., Ottawa, Canada

Xuanli Wu Harbin Institute of Technology

Khalid Aldubaikhy Qassim University

Tao Huang James Cook University

Muhammad Ismail Tennessee Tech University

Huaqing Wu University of Waterloo

Tao Han University of North Carolina at Charlotte

> Web ChairsQingyuan Jiang Beijing University of Posts and Telecommunications

Jun Chen Huizhou University

> Steering CommitteeShangguang Wang Beijing University of Posts and Telecommunications

Ching-Hsien Hsu Asia University

5

Conference CommitteeDataCom 2021

> General ChairsShangguang Wang Beijing University of Posts and Telecommunications

Jack Dongarra University of Tennessee

> Program Chairs

Ao Zhou Beijing University of Posts and Telecommunications

Hui Lei IBM T. J. Watson Research Center

> Workshop ChairMengwei Xu Beijing University of Posts and Telecommunications

> Demo/Poster ChairXiao Ma Beijing University of Posts and Telecommunications

> Award ChairLingyan Zhang Central South University

> Publicity ChairsSotiris Moschoyiannis University of Surrey

Bahman Javadi University of Western Sydney

Sergii Stirenko Igor Sikorsky Kyiv Polytechnic Institute

Sian Lun Lau Sunway University

6

> Local ChairsLu Chen Huizhou University

Zhen Wang Huizhou University

Huabin Wang Huizhou University

Tao Xu Huizhou University

Xiaohuan Zhang Huizhou University

Haiyang Yu Huizhou University

> Advisory CommitteeAnna Kobusinska Poznan University of Technology

Beniamino Di Martino Second University of Naples

Christophe Cérin Université Paris 13

Cho-Li Wang The University of HongKong

Song Guo The Hong Kong Polytechnic University

Wenguang Chen Tsinghua University

Xiaolin Li University of Florida

Yeh-Ching Chung The Chinese University of HongKong

> Steering CommitteeSanjay Ranka University of Florida

Robert Hsu Chung Cheng University

Manish Parashar Rutgers University

Hai Jin HUST

Jie Li University of Tsukuba

Yuanyuan Yang Stony Brook University

7

> TPC Member

Jiwei Huang China University of Petroleum - Beijing

Guosheng Kang Hunan University of Science and Technology

Chanying Huang Nanjing University of Science and Technology

Li Duan Beijing Jiaotong University

Chuntao Ding Beijing Jiaotong University

Kai Peng Huaqiao University

Jialei Liu Anyang Normal University

Binxiao Xu Beijing University of Technology

Shunmei Meng Nanjing University of Science and Technology

Guiyang Luo Beijing University of Posts and Telecommunications

Xiaojuan Wei Beijing University of Posts and Telecommunications

Yujiong Liu Henan University of Economics and Law

Junna Zhang Henan Normal University

Zigui Jiang Sun Yat-sen University

Xiangping Chen Sun Yat-sen University

Qian He Guilin University of Electronic Technology

Dongxiao He Tianjin University

Weilong Ding North China University of Technology

Xiaoxiao Sun Hangzhou Dianzi University

Yanmei Zhang Central University of Finance and Economics

Dionisis Margaris University of Athens

Michal Boron Poznan University of Technology

Prem Prakash Jayaraman Swinburne University of Technology

Slobodan Petrovic Norwegian University of Science and Technology

8

> TPC Member

Neeraj Singh University of Toulouse

Florin Pop University Politehnica of Bucharest

Shiyan Hu Michigan Technological University

Weifa Liang The Australian National University

Alireza Ghasempour University of Applied Science and Technology

Bahman Javadi Western Sydney University

Larbi Boubchir University of Paris 8

Asma Abboura Hassiba Benbouali Chlef University

Jiangling Yin University of Central Florida

Xiaoming Li University of Delaware

Da Zhang University of Miami

Christophe Cerin University of Paris XIII

Xunchao Chen University of Central Florida

Alberto Cano Virginia Commonwealth University

Peter T. Breuer University of Birmingham

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u Registration Guide• Inform the Conference Staff of Your Paper ID → Sign Your Name on the Participants List →

Collect Your Conference Kits

u Devices Provided by the Conference Organizer• Laptop Computer (MS Windows Operating System with MS PowerPoint and Adobe Acrobat

Reader) • Digital Projectors and Screen • Laser Sticks

u Materials Provided by the Presenters• PowerPoint or PDF Files (Files should be copied to the Conference laptop at the beginning of

each Session.) • Duration of each Presentation (Tentatively): • Regular Oral Presentation: about 12 Minutes of Presentation and 3 Minutes of Question and

Answer • Keynote Speech: about 30-35 Minutes of Presentation and 5 Minutes of Question and Answer• We would appreciate if all presenters can adhere strictly to this time limit.

u Dress Code • Please wear formal clothes or national representative of clothing.

u Health Code Collection • This link and QR code is the form of health code collection, please kindly fill it. Thank you for

your cooperation.https://iconf.mike-x.com/Ort6a

Presentation InstructionsOnsite Attendance

10

u Zoom Guidance• The instructions about Zoom, please visit:

https://support.zoom.us/hc/en-us/articles/201362033-Getting-Started-on-Windows-and-Mac

u Join Zoom Meeting Room• Test Session on Oct. 22, 2021 (Friday)

ZOOM ID: 99414036156

ZOOM Link: https://zoom.us/j/99414036156

• Formal Session on Oct. 23, 2021 (Saturday) and Oct. 24, 2021 (Sunday)

ZOOM ID: 99840261029


u How to Access the Zoom Meeting• Open Zoom app and create account firstly, then log in with your account. • Choose “JOIN A MEETING”, and copy the Meeting ID directly and then click “JOIN” button. • Rename your name with this format (Paper ID + Name) entering the Zoom meeting room.

u Environment Requirement• Quiet Location • Stable Internet Connection • Proper lighting

u Equipment Needed • A computer with an internet connection (wired connection recommended) • USB plug-in headset with a microphone (recommended for optimal audio quality) • Webcam: built-in or USB plug-in

Presentation Instructions

Online Attendance

11

AGENDA OVERVIEW

<Lobby of Kande International Hotel>

10:00-17:00 Registration & Conference Kits Collection

09:30-12:20 Zoom Test for Online Attendees

Room: Multi Functional Conference Room, 4F | Zoom ID: 99840261029

09:00-09:20Opening Ceremony

Prof. Jianzhong Cao, Huizhou University, China

09:20-09:40 Group Photo

09:40-10:20 Keynote Speech 1: Prof. Mengchu Zhou

10:20-11:00 Keynote Speech 2: Prof. Jian Weng

11:00-11:20 Coffee Break

11:20-12:00 Keynote Speech 3: Prof. Nong Xiao

12:00-12:20 Keynote Speech 4: Mr. Kaigang Wu

12:20-14:00 Lunch

14:00-14:15 2021 IEEE TCCLD Award Announcement

14:15-14:50 Keynote Speech 5: Dr. Hui Lei

14:50-15:25 Keynote Speech 6: Prof. Song Guo

15:25-16:00 Keynote Speech 7: Prof. Rongke Liu


16:20-16:55 Keynote Speech 8: Prof. Dong Li

Oct. 23, 2021 | Saturday

Oct. 22, 2021 | Friday

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16:55-17:30 Keynote Speech 9: Prof. Shangguang Wang

17:30-18:05 Keynote Speech 10: Dr. Muhammed Basheer Jasser

18:05-18:40 Keynote Speech 11: Prof. Mengwei Xu

18:40 Dinner Banquet

<Beijing Room, 4F>

09:00-10:15 Onsite Session 1


<Banquet Room I, 4F>

09:00-12:00 National Key R&D Program of China（Private Session）

13:30-15:00 Poster Session

ZOOM ID: 99840261029

13:30-15:30 Online Session 1




09:00-17:00 Private Session

Oct. 25, 2021 | Monday

Oct. 24, 2021 | Sunday

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Onsite Venue:4F Multi Functional Conference Room (多功能厅)4F Banquet Room I (国宴厅I)4F Banquet Room II (国宴厅II)4F Beijing Room (北京厅)2F Italian Restaurant (意大利餐厅)

Online Venue:Test SessionZOOM ID: 99414036156Formal SessionZOOM ID: 99840261029

Oct. 22, 2021 | Friday

10:00-17:00 Registration & Conference Kits Collection<Lobby of Kande International Hotel>

Zoom Test for Online Attendees

09:30-10:00 Test Speakers

10:10-10:50 Online Session 1 Test




Chair: Prof. Hui Jiang, Huizhou University, China

09:00-09:20 Opening CeremonyProf. Jianzhong Cao, Huizhou University, China

09:20-09:40 Group Photo

Chair: Prof. Shangguang Wang, Beijing University of Posts and Telecommunications, China

09:40-10:20

Keynote Speech 1Prof. Mengchu Zhou, New Jersey Institute of Technology, USA Title“A Latent Factor Analysis-Based Framework for High-Dimensional and Incomplete Data Representation Learning”

10:20-11:00Keynote Speech 2Prof. Jian Weng, Jinan University, ChinaTitle“Quantum-Resistant Cryptography”


11:20-12:00Keynote Speech 3Prof. Nong Xiao, Sun Yat-sen University, China Title“High Performance Network Computing Technology”

DETAILED AGENDA

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12:00-12:20

Keynote Speech 4Mr. Kaigang Wu, UNIONMAN, ChinaTitle “Analysis of Smart City Construction Scheme Led by Urban Transportation Center”

12:20-14:00 Lunch <Banquet Room II, 4F>

14:00-14:15 2021 IEEE TCCLD Award Announcement

Chair: Prof. Mengwei Xu, Beijing University of Posts and Telecommunications, China

14:15-14:50Keynote Speech 5Dr. Hui Lei, Futurewei Technologies, USATitle “Crossing the Chasm of AI”

14:50-15:25

Keynote Speech 6Prof. Song Guo, The Hong Kong Polytechnic University, Hong Kong, China Title “TinyML Systems for Edge Intelligence: Theory, Algorithm and System Design”

15:25-16:00

Keynote Speech 7Prof. Rongke Liu, Beihang University, ChinaTitle “Thoughts on the Integration of Communication Perception for Satellite Internet”


Chair: Prof. Huawei Huang, Sun Yat-sen University, China

16:20-16:55

Keynote Speech 8Assoc. Prof. Dong Li, Macau University of Science and Technology (MUST), ChinaTitle “Backscatter Radio: A New Paradigm for Passive Communication and Green Internet-of-Things”

16:55-17:30

Keynote Speech 9Prof. Shangguang Wang, Beijing University of Posts and Telecommunications, ChinaTitle “Space Service Computing”

17:30-18:05

Keynote Speech 10Dr. Muhammed Basheer Jasser, Sunway University, MalaysiaTitle “Optimized Dragonfly Algorithm for Improving Transportation and Prediction Systems in Smart Cities”

18:05-18:40

Keynote Speech 11Prof. Mengwei Xu, Beijing University of Posts and Telecommunications, China Title “The Way towards Ubiquitous Learning: a System Perspective”

18:40 Dinner Banquet <Italian Restaurant, 2F>

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Mengchu Zhou

Keynote Speech 1

A Latent Factor Analysis-Based Framework for High-Dimensional and Incomplete Data Representation Learning

Mengchu Zhou, New Jersey Institute of Technology, USA

09:40-10:20, Oct. 23, 2021 (Saturday)-Online

Mengchu Zhou (Fellow, IEEE) received his B.S. degree in Control Engineering from Nanjing University of Science and Technology, Nanjing, China in 1983, M.S. degree in Automatic Control from Beijing Institute of Technology, Beijing, China in 1986, and Ph. D. degree in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, NY in 1990. He joined New Jersey Institute of Technology (NJIT), Newark, NJ in 1990, and is now Distinguished Professor in Electrical and Computer Engineering. His research interests are in Petri nets, intelligent automation, Internet of Things, big data, web services, and intelligent transportation. He has over 900 publications including 12 books, 600+ journal papers (500+ in IEEE transactions), 29 patents and 29 book-chapters. He is the founding Editor of IEEE Press Book Series on Systems Science and Engineering, Editor-in-Chief of IEEE/CAA Journal of Automatica Sinica, and Associate Editor of IEEE Internet of Things Journal, IEEE Transactions on Intelligent Transportation Systems, and IEEE Transactions on Systems, Man, and Cybernetics: Systems. He is a recipient of Humboldt Research Award for US Senior Scientists from Alexander von Humboldt Foundation, Franklin V. Taylor Memorial Award and the Norbert Wiener Award from IEEE Systems, Man and Cybernetics Society, Excellence in Research Prize and Medal from NJIT, and Edison Patent Award from the Research & Development Council of New Jersey. His Google citation count is over 45, 000 with h-index being106. He is a life member of Chinese Association for Science and Technology-USA and served as its President in 1999. He is a Fellow of International Federation of Automatic Control (IFAC), American Association for the Advancement of Science (AAAS), Chinese Association of Automation (CAA) and National Academy of Inventors (NAI).

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One of most critical and important big data issues is how to deal with High-Dimensional and Incomplete (HDI) data from user-item interactions in recommender systems, user-user interactions in social network services, computational terminal interactions in telecommunication systems, and transaction interactions in financial systems. They are highly incomplete due to the exploding number of involved nodes and impossibility of observing their full interactions. Despite their extreme sparsity, they contain massive knowledge regarding various desired patterns like user potential preferences in recommender systems and fraud tendencies in financial systems. To extract such patterns, it becomes vital to perform appropriate representation learning to HDI data, which can be well achieved through latent factor analysis (LFA). This talk focuses on the origin, extension, challenges, progress, and future development of an LFA-based framework for HDI data representation learning. We hope that it would be highly enlightening for researchers and practitioners, especially young researchers and Ph.D. students in the important and rapidly evolving field of big data analytics.

Keynote Speech 1




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周孟初

周孟初，IEEE会士，1983年在南京理工大学控制工程专业毕业并获得学士学位，

1986年在北京理工大学自动控制专业毕业并获得硕士学位，1990年在美国伦斯勒

理工学院计算机系统工程专业毕业并获得博士学位。1990年至今在新泽西理工学院

工作，现在是电气和计算机工程方面的杰出教授。他目前的研究领域是Petri网、智

能自动化、物联网、大数据、web服务和智能交通等。

他发表过超过900种出版物，包括12本书、600多篇期刊论文（IEEE transactions

500多篇）、29项专利和29本书的章节。他是IEEE系统科学与工程出版社系列丛书

的创始编辑，IEEE/CAA Journal of Automatica Sinica主编，IEEE Internet of

Things Journal, IEEE Transactions on Intelligent Transportation Systems, 和IEEE

Transactions on Systems, Man, and Cybernetics: Systems等杂志的副主编。他是

洪堡研究奖、Franklin V. Taylor纪念奖和诺伯特维纳奖获得者，新泽西理工学院研

究奖和奖章获得者，以及新泽西州研发委员会颁发的爱迪生专利奖。他的谷歌引文

数超过45000，h-index指数为106。他是中国旅美科技协会终身会员，并于1999年

担任会长。他是国际自动控制联合会（IFAC）、美国科学促进会（AAAS）、中国

自动化协会（CAA）和国家发明家学会（NAI）的会员。

Keynote Speech 1




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Keynote Speech 2

Quantum-Resistant Cryptography

Jian Weng, Jinan University, China 10:20-11:00, Oct. 23, 2021 (Saturday)-Onsite

Professor Weng Jian is a Ph.D. supervisor and vice-president of Jinan

University. His main research area includes cryptography and information

security.

Jian Weng


With the development of quantum computers, traditional cryptography are facing severe challenges against quantum computers. This report first introduces security impacts of public key and symmetrical key cryptography within quantum computers, and then introduces several mainstream techniques that can resist quantum computing attacks in present cryptography community, especially focusing on the progress of lattice-based cryptography. This report also introduces the standard development of quantum-resistant cryptography and presents a prospect of its future.

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Keynote Speech 2


Jian Weng, Jinan University, China 10:20-11:00, Oct. 23, 2021 (Saturday)-Onsite

翁健

暨南大学教授、博士生导师、副校长。主要研究方向为密码学与信息安全。

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Keynote Speech 3

High Performance Network Computing Technology

Nong Xiao, Sun Yat-sen University, China 11:20-12:00, Oct. 23, 2021 (Saturday)-Onsite

Nong Xiao , Ph.D., professor and doctoral director of School of computer

science, Sun Yat sen University, CCF fellow. His research interests are

network computing and cloud computing, new storage and system architecture.

Nong Xiao


Network computing technology is not only an important computing mode in the development of computer technology, but also the supporting system technology of big data and intelligent computing. We will focus on a variety of network computing modes and characteristics, as well as our work and development trend.

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Keynote Speech 3


Nong Xiao, Sun Yat-sen University, China 11:20-12:00, Oct. 23, 2021 (Saturday)-Onsite

肖侬

博士、中山大学计算机学院教授、博导，CCF Fellow。研究方向为网络计算与

云计算、新型存储和系统结构。

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Keynote Speech 4

Analysis of Smart City Construction Scheme Led by Urban Transportation Center

Kaigang Wu, UNIONMAN, China 12:00-12:20, Oct. 23, 2021 (Saturday)-Onsite

吴开钢，2008年毕业于惠州学院电子信息工程专业，同年入职广东九联科技股

份有限公司，现任研发中心副总经理。毕业至今，一直从事软件开发和团队管理

等相关工作，在音视频解码、网络技术、Web软件平台和Linux、Android操作系

统等领域具有扎实的理论基础及丰富的实践经验，申请已获受理的发明专利10

几项。自参加工作以来，一直承担着公司运营商市场等产品线的产品研发设计工

作，多次负责项目难点问题分析和关键技术攻关，为公司在项目交付方面提供了

有力的保障。

以城运中心为牵引的智慧城市建设方案浅析

智慧城市通过物联网基础设施、云计算基础设施、地理空间基础设施等新一代信息技术以及维基、

社交网络、网动全媒体融合通信终端等工具和方法的应用，实现全面透彻的感知、宽带泛在的互

联、智能融合的应用以及以用户创新、开放创新、大众创新、协同创新为特征的可持续创新。从

技术发展的视角，智慧城市建设要求通过以移动技术为代表的物联网、云计算等新一代信息技术

应用实现全面感知、泛在互联、普适计算与融合应用。本报告以感知设备互联接入为基础，从数

据应用中台、大数据支撑平台、应用业务平台构建等方面着眼，探讨城市信息化向智慧化演进的

智慧城市建设方案。

吴开钢

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Keynote Speech 5

Crossing the Chasm of AI

Hui Lei, Futurewei Technologies, USA 14:15-14:50, Oct. 23, 2021 (Saturday)-Online

Dr. Hui Lei is Vice President of AI and Data Infrastructure at Futurewei

Technologies. Previously he was CTO of Watson Health Cloud at IBM, an IBM

Distinguished Engineer, and an IBM Master Inventor. His research interests lie

in the broad areas of data engineering and distributed systems, spanning the

domains of cloud computing, mobile computing, and enterprise computing. He

is a Fellow of the IEEE, a member of the IEEE Computer Society Board of

Governors, Chair of the IEEE Computer Society Transactions Operations

Committee, a past Editor-in-Chief of the IEEE Transactions on Cloud

Computing, and an inventor of over 80 patents. He has been recognized with

the IEEE Computer Society Technical Achievement Award for his pioneering

work on big data engineering. He received the B.S. degree from Sun Yat-sen

University, an M.S. degree from New York University, and a Ph.D. degree from

Columbia University, all in Computer Science.

Hui Lei


We are witnessing a great awakening of AI, thanks to advances in computer hardware, breakthroughs in machine learning techniques, and the explosion of digital data. Although many enterprises are committed to using AI to deliver real business value, the adoption of AI for production use has been very slow and only a small portion of companies have revenue-generating AI systems running today. Surprisingly, difficulties in enterprise AI have little to do with core machine learning algorithms and techniques. Instead, they have a lot to do with the chasm between the machine learning prototypes in lab settings and large-scale production-grade AI systems. To adopt AI at scale and reap its full benefits, enterprises must solve problems in a wide variety of areas including infrastructure, data, insights, skills, trust, and operationalization. In this talk, I will discuss some challenges in the areas of application infrastructure and data infrastructure for production AI, and share our experience in tackling those challenges.

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Keynote Speech 5


Hui Lei, Futurewei Technologies, USA 14:15-14:50, Oct. 23, 2021 (Saturday)-Online

IEEE会士，Futurewei Technologies(华为在美国的子公司)的人工智能和数据基

础设施副总裁。在此之前他在IBM公司工作，是Watson Health Cloud首席技术

官、IBM卓越工程师和发明大师。他因在大数据工程方面的开创性工作而获得

IEEE计算机学会技术成就奖。他从中山大学获得学士学位，纽约大学获得硕士

学位，哥伦比亚大学获得博士学位。他目前的研究集中在数据工程和分布式系统

方向，涵盖云计算、移动计算和企业计算等领域。他是 IEEE会士、IEEE计算机

协会理事会成员、IEEE计算机协会会刊业务委员会主席、 IEEE Transactions

on Cloud Computing的前任主编，以及80多项专利的发明人。

雷晖

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Keynote Speech 6

TinyML Systems for Edge Intelligence: Theory, Algorithm and System Design

Song Guo, The Hong Kong Polytechnic University, Hong Kong, China


Song Guo is a Full Professor at the Department of Computing, The Hong Kong

Polytechnic University. Prof. Guo is a Fellow of the Canadian Academy of

Engineering, Fellow of the IEEE, and ACM Distinguished Member. Prof. Guo’s

research interests are mainly in edge AI, big data and machine learning, mobile

computing, and distributed systems. He published many papers in top venues

with wide impact in these areas and was recognized as a Highly Cited

Researcher (Clarivate Web of Science). He is the recipient of over 12 Best

Paper Awards from IEEE/ACM conferences, journals and

technical committees. Prof. Guo has served as an IEEE ComSoc Distinguished

Lecturer, Director of ComSoc Membership Services, member of IEEE ComSoc

Board of Governors, and the current Chair of IEEE Communications Society

Space and Satellite Communications Technical Committee. He has also served

for IEEE Computer Society on Fellow Evaluation Committee, the inaugural

Editor-in-Chief of IEEE Open Journal of the Computer Society, and on editorial

board of a number of prestigious IEEE Transactions and Journals. He has

served as chair of organizing and technical

committees of numerous international conferences.

Song Guo


This talk will focus on the field of Edge Learning. Specifically, learning paradigms, fundamental theories, and enabling technologies for Edge Learning consist the main components of this tutorial. We will first explain the background and motivation for ML running at the network edge. Then, we will review the challenge issues existing in Edge Learning. Furthermore, we will provide an overview of the overarching architectures, frameworks, and emerging key technologies for learning performance, security, privacy, and incentive issues toward training/inference at the network edge. Finally, we will discuss future research opportunities on Edge Learning.

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Keynote Speech 6


Song Guo, The Hong Kong Polytechnic University, Hong Kong, China


郭嵩郭嵩，IEEE会士，加拿大工程学院院士，ACM杰出会员，香港理工大学计算机

系教授。郭嵩教授目前的研究领域集中在边缘人工智能、大数据和机器学习、移

动计算和分布式系统。他在顶级期刊发表了许多论文，并在这些领域产生了广

泛影响，被Web of Science认定为被高引用的研究者。他获得了IEEE/

ACM会议、期刊和技术委员会颁发的12项最佳论文奖。

郭嵩教授曾担任IEEE通信协会杰出讲师、IEEE通信学会会员服务总监、IEEE

通信协会理事会成员以及IEEE通信学会空间和卫星通信技术委员会现任主席。

他还曾为IEEE计算机学会担任同行评估委员会成员、计算机学会IEEE开放期刊

的首任主编，以及许多著名IEEE会刊和期刊的编辑委员会成员。他曾担任许多

国际会议的组织和技术委员会主席。

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Keynote Speech 7

Thoughts on the Integration of Communication Perception for Satellite Internet

Rongke Liu, Beihang University, China 15:25-16:00, Oct. 23, 2021 (Saturday)-Onsite

Rongke Liu is a long-term professor and doctoral supervisor of the school of

electronic information engineering, Beihang University, and the president of

Shenzhen Research Institute of Beihang University. Senior visiting scholar at

the University of Tokyo, Japan and the University of Edinburgh, UK. He has

long been engaged in teaching and scientific research in wireless

communication (5G / 6G), satellite measurement and control communication

and navigation, integrated circuit design, etc., published more than 200 papers,

applied for more than 50 patents and published 6 works. He is an IET fellow, a

senior member of IEEE.Rongke Liu


As the key technology of cross domain integration of 5.5g/6g standard, communication perception integration technology has attracted extensive attention in academia and industry. This report first introduces the concept and connotation of communication perception integration, analyzes the challenges and opportunities of synaesthesia integration based on Satellite Internet by focusing on the major needs of Satellite Internet, and briefly introduces the recent work progress of Beihang future communication and network promotion group.

28

Keynote Speech 7


Rongke Liu, Beihang University, China 15:25-16:00, Oct. 23, 2021 (Saturday)-Onsite

刘荣科

北京航空航天大学电子信息工程学院长聘教授、博士生导师，北航深圳研究院院

长，IET fellow, IEEE 高级会员。日本东京大学、英国爱丁堡大学高级访问学

者。长期从事无线通信（5G/6G）、卫星测控通信导航、集成电路设计等方向的

教学科研工作，发表论文200余篇，申请专利50余项，出版著作6部。

29

Keynote Speech 8

Backscatter Radio: A New Paradigm for Passive Communication and Green Internet-of-Things

Dong Li, Macau University of Science and Technology (MUST), China


Dong Li received the Ph.D. degree in electronics and communication

engineering from Sun Yat-sen University, Guangzhou, China, in 2010. Since

2010, he has been with the Faculty of Information Technology, Macau

University of Science and Technology (MUST), Macau, China, where he is

currently an Associate Professor. He held a visiting position with the Institute

for Infocomm Research, Singapore, in 2012. His current research interests

focus on Backscatter Communications, Intelligent Reflecting Surface-Assisted

Communications, and Machine Learning for Communications. He is a recipient

of the 2011, 2016, and 2019 MUST Bank of China (BoC) Excellent Research

Award. He is currently an Executive Board Member of IEEE Macau Section. Dong Li


Ambient backscatter (AmBack) has emerged as a promising technology for various communication and Internet of Things (IoT) applications due to the recent advances in the hardware implementation. In contrast to traditional wireless systems, no carrier generation and power supply are needed for AmBack, and the dedicated reader and round-trip path loss can be avoided compared to the radio frequency identification (RFID) technology. In this talk, we begin with the fundamentals of AmBack, and then highlights several interesting topics in signal transmission schemes including frequency division multiple access (FDMA)-based interference free transmission, hybrid active and passive transmission, and opportunistic AmBack-assisted relay transmission.

30

Keynote Speech 8


Dong Li, Macau University of Science and Technology (MUST), China


李东, 博士，现任澳门科技大学资讯科技学院副教授，IEEE澳门分会执行委员

会理事和IEEE高级会员。2010年7月毕业于中山大学通信与信息系统专业，获

工学博士学位。2012年7月至8月访问新加坡科技局资讯通信研究院。研究领域

包括反向散射通信、智能反射表面通信和和智能通信。2011年、2016年和

2019年先后3次获得澳门科技大学中国银行优秀学术研究奖。

李东

31

Keynote Speech 9

Space Service Computing

Shangguang Wang, Beijing University of Posts and Telecommunications, China

16:55-17:30, Oct. 23, 2021 (Saturday)-Onsite

Shangguang Wang is a Professor at the School of Computer Science , Beijing

University of Posts and Telecommunications, China. He received his Ph.D.

degree at Beijing University of Posts and Telecommunications in 2011. He has

published more than 150 papers, and his research interests include service

computing, mobile edge computing, cloud computing, and Space-air-ground

Computing. He served as General Chairs or TPC Chairs of IEEE EDGE 2020,

IEEE CLOUD 2020, IEEE SAGC 2020, IEEE EDGE 2018, and IEEE ICFCE

2017, etc., and Vice-Chair of IEEE Technical Committee on Services

Computing (2015-2018). Shangguang Wang


Space Service Computing: 6G core network system. As a kind of system software to realize signaling control and data bearer, 6G core network will provide important support for 6G's requirements towards the space-air-ground-sea, Internet of everything and recognizing the world. In 6G core network, service computing and related technologies will play an important role. This report first explores the cognitive service-oriented architecture of 6G core network. Then, we introduce the main challenges and solutions it faces. Finally, we report our preliminary explorations in space service computing, including satellite service coverage, space service coordination, satellite 5G core network system.

32

Keynote Speech 9


Shangguang Wang, Beijing University of Posts and Telecommunications, China


王尚广

北京邮电大学计算机学院教授、博士生导师、IET Fellow。研究方向包括：服

务计算、边缘计算、5/6G核心网系统、分布式AI系统、星际网络等，发表高水平

学术论文150余篇，担任10多个IEEE国际会议大会主席/程序委员会主席(含共同

主席)。目前担任IEEE Technical Committee on Services

Computing主席、IEEE Technical Committee on Cloud Computing 副主

席。

33

Keynote Speech 10

Optimized Dragonfly Algorithm for Improving Transportation and Prediction Systems in Smart Cities

Muhammed Basheer Jasser, Sunway University， Malaysia


Muhammed Basheer Jasser obtained his Ph.D and Master’s degree in software

engineering from University Putra Malaysia (UPM). He was granted the Malaysian

Technical Cooperation Program scholarship (MTCP) from the ministry of higher

education (Malaysia) for his postgraduate studies. He is currently a lecturer at

Sunway University. Prior to that, Dr. Basheer was a research assistant at UPM

and a lecturer at Aleppo University. Dr. Basheer’s major research interests

include optimization algorithms, evolutionary computation, model-driven software

engineering, formal specification, verification and theorem proving, artificial

intelligence, and machine learning. He is also a member of several professional

academic bodies including IEEE and the Institute of Electronics, Information and

Communication Engineers (IEICE). He is also working on several fundamental

and industrial research projects in the area of artificial intelligence and software

engineering funded by companies and universities.

Muhammed Basheer Jasser

Optimized Dragonfly Algorithm for Improving Transportation and Prediction Systems in Smart Cities

Optimization algorithms are essential for numerous optimization applications in smart cities, such as intelligent transportation and prediction systems. Swarm intelligence is a discipline that is utilized for solving optimization problems by producing low-cost, fast, and robust solutions. Its technique consists of making use of a number of agents, thereby forming a population in which individuals interact among themselves and with their environment, to give rise to a global intelligent behavior.The Dragonfly Algorithm (DA) is a swarm intelligence algorithm that is inspired by the behavior of dragonflies in nature. It has been found to have a higher performance than some of the most popular evolutionary algorithms. However, it still has some limitations in terms of suitability in some application domains, effectiveness, and efficiency. This talk presents how the original dragonfly algorithm is optimized and adapted to make it suitable, effective, and efficient in several application domains in smart cities (e.g. Prediction and intelligent transportation systems).

34

Keynote Speech 11

The Way towards Ubiquitous Learning: a System Perspective

Mengwei Xu, Beijing University of Posts and Telecommunications, China


Mengwei Xu is an assistant professor, doctoral advisor with Computer Science

Department, Beijing University of Posts and Telecommunications (BUPT). He

obtained his PhD and Bachelor degrees both from Peking University. He was a

visiting scholar in Purdue University during Nov.2018-Nov.2019. He joined the

“Star-track” visiting professor program of Microsoft Research Asia (MSRA)

from Dec. 2020 to Mar. 2021. Dr. Mengwei Xu’s research interests lie in the

intersection of edge systems and machine learning, with a recent focus on

enabling state-of-the-art deep learning techniques on the resource-constrained

edge devices. His work has been published on premier CS conferences like

Usenix ATC, MobiCom, MobiSys, UbiComp, and WWW.

Mengwei Xu


We are witnessing the emergence of ubiquitous learning, where each device (smartphones, wearables, IoTs, etc) can learn from their environments either alone or collaboratively. Such a new paradigm is fueled by deep learning techniques, or more specifically, on-device training. Given its popularity in the machine learning community, unfortunately, there are no systematic understandings of a critical question: how much cost does it take to train typical deep models on commodity end devices? In this talk, Dr. Mengwei Xu will share his recent thoughts and research efforts in this new field.

35

Keynote Speech 11


Mengwei Xu, Beijing University of Posts and Telecommunications, China


徐梦炜

北京邮电大学计算机学院副研究员，博士生导师。于北京大学获得博士与本科学

位，微软亚洲研究院“铸星计划”访问学者，普渡大学访问学者。主要研究领域

为移动/边缘计算和系统软件，近些年专注于边缘设备上的人工智能系统构建与

优化工作，相关成果发表于Usenix ATC/MobiCom/MobiSys/UbiComp/

IEEETMC等国际顶级会议期刊，受邀担任UbiComp/ICWS/IEEETMC等会议期刊

审稿人，并参与多项国家级重点项目的研发工作。

36

Onsite Venue:4F Multi Functional Conference Room (多功能厅)4F Banquet Room I (国宴厅I)4F Banquet Room II (国宴厅II)4F Beijing Room (北京厅)2F Italian Restaurant (意大利餐厅)

Online Venue:Test SessionZOOM ID: 99414036156Formal SessionZOOM ID: 99840261029

Oct. 24, 2021 | Sunday< Beijing Room, 4F >




11:50-13:30 Lunch < Banquet Room II, 4F>

< Banquet Room I, 4F >

09:00-12:00 National Key R&D Program of China（Private Session）

12:00-13:30 Lunch < Banquet Room II, 4F>

13:30-15:00 Poster Presentation

ZOOM ID: 99840261029ZOOM Link: https://zoom.us/j/99840261029






Oct. 25, 2021 | Monday09:00-17:00 Private Session

DETAILED AGENDA

37

PAPER SESSION (ONSITE)

Onsite Session 1Session Chair: Xiaohuan Zhang, Huizhou University, China

09:00-10:15 on Oct. 24, 2021 (Sunday)

<Beijing Room, 4F>

ID:21 (SAGC)09:00-09:15

WSpeed: Drone Energy Optimization for Multiple-Package Delivery Considering Weight ChangesMingyue Zhao, Zimo Ma, Zhuyang Zhou, Kuangyu ZhengBeihang University, China

ID:19 (SAGC)09:15-09:30

Dynamic Monitoring Urban Expansion of Huizhou from 2000 to 2020 Using the Google Earth EngineShuhong Peng, Jing Qian, Zhen Wang, Zhipan Wu, Jiayu Sun, Shujie WeiHuizhou University, China

ID:29 (SAGC)09:30-09:45

E-Cube : Energy-Efficient UAV Trajectory Scheduling with Height and Speed OptimizationZhuyang Zhou, Zimo Ma, Mingyue Zhao, Kuangyu ZhengBeihang University, China

ID:3 (SAGC)09:45-10:00

A Building Network Security Monitoring and Management System Based on the Internet of ThingsShiliang LuoHuizhou University, China

ID:30 (SAGC)10:00-10:15

Computation Offloading Strategy of Multi-Satellite Cooperative Tasks Based on Genetic Algorithm in Satellite Edge ComputingHoupeng Wang, Jiarong Han, Suzhi Cao, Xiaobo ZangChinese Academy and Sciences, China

38

Onsite Session 2Session Chair: Zhengrui Zhang, Huizhou University, China

10:35-11:50 on Oct. 24, 2021 (Sunday)

<Beijing Room, 4F>

ID:18 (SAGC)10:35-10:50

Efficient Single-Group Multicast Beamforming: A Determinantal Point Process ApproachJihang Jian, Lingya Liu, Cunqing Hua, Yiyin WangShanghai Jiao Tong University, China

ID:40 (SAGC)10:50-11:05

Review on Algorithms for Integrated Scheduling Problem of Single Piece and Small Batch ProductsXiaohuan Zhang, Zhen Wang, Dan ZhangHuizhou University, China

ID:31 (SAGC)11:05-11:20

Plane Wave's Spatial Property in Marine EnvironmentBing GuanHuizhou University, China

ID:12 (SAGC)11:20-11:35

Olive Branch Learning: A Novel Federated Learning Framework for Space-Air-Ground Integrated NetworkQingze Fang, Shuai Yu, Xu ChenSun Yat-sen University, China

ID:18(DATACOM)11:35-11:50

Learning Medical Image Segmentation via U-Net Based Positive and Unlabeled Learning MethodYan Zhang, Chenguang ZhangHainan University, China

PAPER SESSION (ONSITE)

39

PAPER SESSION (ONLINE)

Online Session 1Session Chair: Haiyang Yu, Huizhou University, China

Time: 13:30-15:30 on Oct. 24, 2021 (Sunday)

ZOOM ID: 99840261029


ID:27 (SAGC)13:30-13:45

Multi-State Energy Efficiency Improvement Strategy for DRX Functional DevicesTong Pei, Baoling Liu, Chen Dong, Bowen Cai, Fei XuBeijing University of Posts and Telecommunications, China

ID:33 (SAGC)13:45-14:00

Vision for Future Space-Air-Ground Integrated Radar NetworkDeng Dasong, Yang Yuhao, Li DashengNanjing Research Institute of Electronics Technology, China

ID:28 (SAGC)14:00-14:15

A Dependency-Aware Offloading Algorithm based on Deep Reinforcement Learning for Vehicular NetworksYujie Wang, Hongbo Zhao, Haoqiang Liu, Liwei GengBeihang University, China

ID:26 (SAGC)14:15-14:30

OpenAcc Parallel Schemes for Accelerating Asteroidal Period SearchYongxiong Zhang, Xiaoping LuMacau University of Science and Technology, China

ID:35 (SAGC)14:30-14:45

Application of Laser-Induced Acoustic Method on Air-Underwater CommunicationYang Zhao, Peng Li, Penghui Zhang, Zhiquan Zhou, Jianqing LiHarbin Institute of Technology (Weihai), China

ID:5 (SAGC)14:45-15:00

Cooperative Task Processing for the Internet of Remote Things through Ultra-Dense Satellite SystemsTianjiao Chen, Jiang Liu, Qinqin Tang, Tao Huang, Yunjie LiuBeijing University of Posts and Communications, China

ID:22 (SAGC)15:00-15:15

Collaborative Control and Optimization of QoS in 5G and Industrial SDN Heterogeneous Networks for Smart FactoryQibing Jin, Qing Guo, Yaxu Niu, Zeyu Wang, Mingshi LuoBeiJing University of Chemiacl Technology, China

ID:1 (SAGC)15:15-15:30

Simplified Models in Evaluating the Performance of the Non-Orthogonal Slotted Aloha ProtocolXiao Han, Qiwei Wang, Guangliang RenXidian University, China

40


Online Session 2Session Chair: Bing Guan, Huizhou University, China


ZOOM ID: 99840261029


ID:32 (SAGC)15:40-15:55

A Satellite Network Data Transmission Algorithm Based on Adaptive Fountain CodeXiaobin Xu, Qi Wang, Chang Liu, Cunqun FanBeijing University of Technology, China

ID:34 (SAGC)15:55-16:10

On Dynamic Routing Technology for Space NetworkHongcheng Yan, Liang Qiao, Jiaxiang Niu, Weisong Jia, Dong Zhou, Wei Wu, Lianlian Zeng, Yong XuChina Academy of Space Technology, China

ID:23 (SAGC)16:10-16:25

Efficient Edge Intelligence under Clustering for UAV Swarm NetworksYuben Qu, Chao Dong, Tao Wu, Yan Zhuang, Haipeng Dai, Fan WuShanghai Jiao Tong University, China

ID:15 (SAGC)16:25-16:40

Mixed Strategy PSO for Global OptimizationJinwei Pang, Xiaohui Li, Shuang HanYantai University, China

ID:44 (SAGC)16:40-16:55

Hybrid High-Speed Power Line and Wireless Communication for 5G NetworkMeihui Hua, Hui Tian, Debao WuBeijing University of Posts and Telecommunications, China

ID:37 (SAGC)16:55-17:10

Cloud-Edge Collaborative Intelligent Inference Based on Distributed Neural Networks in Power Distribution NetworksHao Luo, Hui Tian, Peng Zhang, Fang Zhao, Meng Zhou, Yong SunBeijing University of Posts and Telecommunications, China

ID:6 (SAGC)17:10-17:25

WinCross: Find the Energy-Efficient Crossing Window for UAV with Joint Optimization of Path and SpeedZimo Ma, Zhuyang Zhou, Mingyue Zhao, Kuangyu ZhengBeihang University, China

ID:25 (SAGC)17:25-17:40

The Research of New Crowd Sensing Computing in Space-Air-Ground Integrated NetworksYingjie Wang, Mingze Wang, Lingkang Meng, Qi Zhang, Xiangrong Tong, Zhipeng CaiYantai University, China

41


Online Session 3Session Chair: Yun Lu, Huizhou University, China


ZOOM ID: 99840261029


ID:10 (DATACOM)17:50-18:05

Supervised Learning and Unsupervised Learning on Music Data with Different GenresChunang Liu, Zehan ChaoJining Confucius International School, China

ID:12(DATACOM)18:05-18:20

Big Data Intelligent Solution for Health Analytics of COVID-19 Data with Spatial HierarchyCarson LeungUniversity of Manitoba, Canada

ID:15(DATACOM)18:20-18:35

A Display-Driven Anti-aliasing Visualization Method of Large-scale Vector Data in Real-timeZebang Liu, Luo Chen, Mengyu Ma, Anran YangNational University of Defense Technology, China

ID:16(DATACOM)18:35-18:50

Optimization of Text Generation Method for Task-based Human-machine Dialogue SystemZixuan Guo, Qibo SunState Key Laboratory of Networking and Switching Technology (BUPT), China

ID:17(DATACOM)18:50-19:05

A Function and Model Recommendation System for Mobile Application Xiangying Che, Qibo SunBeijing University of Posts and Telecommunications, China

ID:9(DATACOM)19:05-19:20

CDGE —A Community Detection Algorithm Based On Graph EmbeddingJie Zhang, Zhengyou XiaNanjing University of Aeronautics and Astronautics, China

42

PAPER SESSION (POSTER)



ID:16 (SAGC)A Graph Routing Algorithm Enhancing Wireless Sensor Networks LifetimeWang Yuxin, Nie Gaofeng, Tian HuiBeijing University of Posts and Telecommunications, China

ID:43 (SAGC)

Hurricane Damage Detection by Classic and Hybrid Classic-Quantum Neural NetworksYevhenii Trochun, Sergii Stirenko, Oleksandr Rokovyi, Oleg Alienin, Yuri Gordienko, Chaves WangHuizhou University, China

ID:38 (SAGC)Review on Space High Precision Time-Frequency Transfer TechnologyShuaihe Gao, Zhibing PanChinese Academy of Sciences, China

ID:13 (SAGC)Air-Ground Integrated Federated Learning: An Experimental ImplementYuqian Jing, Chao Dong, Yuben Qu, Fuhui ZhouShanghai Jiao Tong University, China

ID:14 (SAGC)

Experimental Results of Federated Learning in Unmanned Aerial Vehicle SwarmYun Shen, Chao Dong, Yuben Qu, Weiqing Ren, Xiaojun ZhuShanghai Jiao Tong University, China

ID:11 (SAGC)

Spatio-Temporal Transmission of COVID-19 Pandemic in Susceptible-Exposed of Small-World Network ModelShuhong Peng, Jing Qian, Zhen Wang, Zipan Wu, Shujie Wei, Jiayu SunHuizhou University, China

43

PAPER SESSION (POSTER)



ID:3(DATACOM)

Mitigating App Collusion using Machine LearningXuefei Duan, Hua Lu, Jinliang Yuan, Qiyang Zhang, Dongqi CaiGuangDong Communications & Networks Institute, China

ID:7(DATACOM)

The Digital Construction in Multinational Corporations: A Preliminary StudyZhengkai Zhang, Shengzhi XuState Grid International Development Co., Ltd., China

ID:6(DATACOM)

Elastic Service Provisioning for Mobile Edge ComputingXuefei Duan, Hua Lu, Sisi LiGuangDong Communications & Networks Institute, China

ID:42 (SAGC)Integration of Low Earth Orbit Satellites with Terrestrial Cloud-edge SystemsHua Lu, Xuefei Duan, Yanzi ChenGuangDong Communications & Networks Institute, China

ID:41 (SAGC)Review of Distributed Integrated Scheduling AlgorithmZhen Wang, Xiaohuan Zhang, Shuhong PengHuizhou University, China

ID:9 (SAGC)Collaborative Computing for Space-Air-Ground Integrated Vehicular NetworksHua Lu, Xuefei DuanGuangDong Communications & Networks Institute, China

44

VENUE

Phone0752-2688888

AddressNo.18 Huancheng West 1st Road Huicheng District Huizhou China

Kande International Hotel

46

CONFERENCE SPONSORSHIP

oct. 23, 2021 - oct. 25, 2021 huizhou · guangdong

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