IEEE-ASID’2018

2018 IEEE International Conference onAnti-Counterfeiting, Security, and Identification

2018 IEEE International Conference onAnti-Counterfeiting, Security, and Identification

Edited byProf. Huarong XuProf. Jiyang DongProf. Donghui Guo

Edited byProf. Huarong XuProf. Jiyang DongProf. Donghui Guo

Nov. 9-11, 2018 Xiamen, ChinaNov. 9-11, 2018 Xiamen, China

Final Program ScheduleFinal Program Schedule

1

Welcome from the Conference Chairman

On behalf of the 2018 ASID team, it is my great pleasure to extend you a warm

welcome to the pleasant coastal city Xiamen for the 2018 International Conference on

Anti-counterfeiting, Security, and Identification.

This conference is the 12th one of the series of International Conference on Anti-

counterfeiting, Security, and Identification(ASID). Within the eleven years of time, the

ASID conference has evolved into a unique forum for researchers from academia and

industry to exchange innovative ideas and share their findings in the frontiers of diverse

areas on information science. There were overwhelming responses to this conference

and more than 80 papers submitted over the world. At last, 55 papers were accepted to

be presented at the two-day conference and listed in the proceedings. All these papers

are grouped into the sessions as: Deep Learning and Recognition Computing，Big Data

and Information Security，Cloud Computing & Internet of Things (IoT)，Cryptographic

Algorithm and Security Management，IC Design and System Integration，Wearable

Electronics and Health & Leisure.

It is our great pleasure to invited Prof. Zhiping Yu, Prof. Tianrui Li and Prof.

Chunxiao Xing to be our keynote speakers. Prof. Zhiping Yu is a professor with the

Institute of Microelectronics, Tsinghua University. Prof. Tianrui Li is the director of

the Key Lab of Cloud Computing and Intelligent Technique of Sichuan Province,

Southwest Jiaotong University. Prof. Chunxiao Xing is an associate dean of

Information Technology Research Institute (RIIT), Tsinghua University, and director

of Web and Software R&D Center (WeST).

This conference is sponsored by Xiamen Institute of Electronics and Institute of

Modern Circuit & System Technology and co-sponsored by IEEE Beijing Section,

Xiamen University and Xiamen University of Technology. This conference is also co-

organized by IC Design Center of Fujian Province and Key Laboratory of IC Design

& Application Development (Xiamen University). All accepted papers are available at

IEEE Xplore.

The city of Xiamen is famous for its beautiful scenery and the beach of Taiwan

Strait. We wish that you will benefit from the technical programs and social events of

2018 ASID, as well as from your personal exploration of this coastal garden.

Huarong Xu Conference Chairman

November, 2018

6

2018 ASID Keynote Speakers

Prof. Zhiping Yu

IEEE Life Fellow

Professor of the Institute of Microelectronics, Tsinghua University, Beijing,

China

Title：

RF/mmW CMOS Circuits for 5G Wireless Communication

Abstract： Among prominent features of 5G cellular mobile communications are 1) higher data rate (as high as 20Gbps); 2)

massive device connectivity (106/km2); 3) less latency (1ms). One of the enablers is the allocation for the so-

called New Radio (NR): the carrier frequency is roughly in two ranges: sub-6GHz with bandwidth 100MHz and

mmW of 24-86GHz with bandwidth 400MHz.

This talk will use the design cases experienced in the speakers’ Tsinghua group to address the design issues of

CMOS circuits used in 5G communications, mainly broadband (up to 6GHz) LNAs and 60GHz transceivers. To

bridge the gap between 28GHz and 39GHz, which are two frequencies designated for the wireless data transfer

between base stations, a single PLL design with two VCOs is discussed.

Recent work on the phased-array transmitter using 28nm CMOS technology is finally briefed, which is at the core

circuitry for massive MIMO technology.

Biography：

Prof. Zhiping Yu graduated from Tsinghua University, Beijing, China, in 1967 with B.S. degree, he received M.S.

and Ph. D. degrees from Stanford University, CA, USA, in 1980, and 1985, respectively.

He is presently professor in the Institute of Microelectronics, Tsinghua University, Beijing, China, and an IEEE Life

Fellow. From 2008 to 2015 he is also a visiting professor in EE Dept. at Stanford University, and between 2006 and

2012 as the Novellus Microelectronics Professor in Tsinghua. He has been the project leader for several national

research programs on micro- and nano-electronics in China, including 973 and NSF major projects, and back in

1993 won “China’s First-Class National Science & Technology Progress Award” for his critical role in

developing Panda Design System, a first EDA software in China. His research interests include nano-scaled CMOS

and nanoelectronics, circuit design in RF CMOS, and semiconductor device compact modeling and simulation.

Dr. Yu has published more than 400 technical papers and is the co-author of a book on TCAD (Technology CAD)

in English. A co-authored book on RF CMOS circuit design (in Chinese) was published by Tsinghua University

Press in 2006.

Dr. Yu has served as the Associate Editor of IEEE Trans. CAD of IC & Systems (ICCAD) from 1996 to 2005. He was

also once a member in IEEE EDS Nanotechnology Committee, and Semiconductor-Manufacturing Committee,

respectively.

7

Prof. Tianrui Li

Professor/Director of the Key Lab of Cloud Computing and Intelligent

Technique of Sichuan Province, Southwest Jiaotong University, China

Title：

Data-Driven Intelligence: Challenges and our Solutions

Abstract： Data-Driven Intelligence has become a hot research topic in the area of information science. This talk aims to

outline the challengues on Data-Driven Intelligence. Then our solutions for Data-Driven Intelligence are provided,

which cover the following aspects. 1) A hierarchical entropy-based approach is demonstrated to evaluate the

effectiveness of data collection, the first step of Data-Driven Intelligence. 2) A multi-view-based method is

illustrated for filling missing data, the preprocessing step for Data-Driven Intelligence. 3) A unified framework is

outlined for Parallel Large-scale Feature Selection to manage Big Data with high dimension. 4) A MapReduce-

based parallel method together with three parallel strategies are presented to compute rough set approximations

for classification, which is a fundamental part in rough set-based data analysis similar to frequent pattern mining

in association rules. 5) Incremental learning-based approaches are shown for updating approximations and

knowledge in dynamic data environments, e.g., the variation of objects, attributes or attribute values, which

improve the computational efficiency by using previously acquired learning results to facilitate knowledge

maintenance without re-implementing the original data mining algorithm. 6) A deep-learning-based model to

deal with multiple different sources of data is developed.

Biography：

Tianrui Li received his B.S. degree, M.S. degree and Ph.D. degree from the Southwest Jiaotong University, China

in 1992, 1995 and 2002 respectively. He was a Post-Doctoral Researcher at Belgian Nuclear Research Centre (SCK

• CEN), Belgium from 2005-2006, a visiting professor at Hasselt University, Belgium in 2008, the University of

Technology, Sydney, Australia in 2009 and the University of Regina, Canada in 2014. And, he is presently a

Professor and the Director of the Key Lab of Cloud Computing and Intelligent Technique of Sichuan Province,

Southwest Jiaotong University, China. Since 2000, he has co-edited 6 books, 10 special issues of international

journals, 15 proceedings, received 5 Chinese invention patents and published over 300 research papers (e.g., AI,

IEEE TKDE, IEEE TEC, IEEE TFS, IEEE TIFS, IEEE ASLP, IEEE TIE, IEEE TC, IEEE TVT) in refereed journals and conferences

(e.g., KDD, IJCAI, UbiComp). 3 papers were ESI Hot Papers and 12 papers was ESI Highly Cited Papers. His Google

H-index is 36. He serves as the area editor of International Journal of Computational Intelligence Systems (SCI),

editor of Knowledge-based Systems (SCI) and Information Fusion (SCI), etc. He is an IRSS fellow, a distinguished

member of CCF, a senior member of ACM, IEEE, CAAI, ACM SIGKDD member, Chair of IEEE CIS Chengdu Chapter

(2013-2018), Treasurer of ACM SIGKDD China Chapter and CCF YOCSEF Chengdu Chair (2013-2014). Over fifty

graduate students (including 8 Post-Docs, 14 Doctors) have been trained. Their employment units include

Microsoft Research Asia, Sichuan University, Baidu, Alibaba, Tencent and Huawei. They have received 2 "Si Shi

Yang Hua" Medals, Best Papers/Dissertation Awards 15 times, Champion of Sina Weibo Interaction-prediction at

Tianchi Big Data Competition (Bonus 200,000 RMB), Second Place of Social Influence Analysis Contest of IJCAI-

2016 Competitions.

8

Prof. Chunxiao Xing

Professor/Associate dean of Information Technology Research Institute

(RIIT), Tsinghua University

Director of Web and Software R&D Center (WeST).

Title：

The Research and Development of Smart Health in the Era of Big Data and

AI

Abstract： With the implementation of the National 13th Five-Year Plan, “Healthy China” has been officially upgraded to

a national strategy, and smart health has become an important application of the national new generation of

artificial intelligence planning. How to use the next-generation information technology (Artificial Intelligence (A),

Blockchain (B), Cloud Computing (C), Big Data (D), Internet of Things (E), etc.) to integrate with medical

informatization to solve the prominent difficulties and main issues in medical reform such as graded diagnosis

and treatment, separation of medicine, multi-point medical practice, supervision of medical insurance payment,

and matching and balance of medical resources; how to realize real-time interaction between patients and

medical staff, medical institutions and medical equipment through wearable devices, home intelligent terminals

and service-oriented robots; how to establish a closed-loop process for pre-diagnosis, diagnosis, post-diagnosis

of balanced resources, universal coverage，and active services; how to build multi-objective, multi-dimensional,

whole-process and full-population real-time monitoring and intelligent quantitative management to gradually

promote disease prevention and disease diagnosis and treatment. This report mainly includes the following

contents：The Development Trend of Big Data and Artificial Intelligence（AI）,Latest Progress in Smart Health,

Smart Health Key Technology, Smart Health Research and Application.

Biography：

Dr. Chunxiao Xing was born in December 1967. He is a professor and associate dean of Information Technology

Research Institute (RIIT), Tsinghua University, and director of Web and Software R&D Center (WeST).

His research primarily focuses on the database and data warehouse, data and knowledge engineering, large-scale

digital media management, software engineering, digital library technology, and key technologies for e-

government.

He is the director of Big Data Research Center for Smart Cities, Tsinghua University. He is also the deputy director

of the Office Automation Technical Committee of China Computer Federation, a member of China Computer

Federation Technical Committee on databases, big data and software engineering. He is also the member of IEEE

and ACM.

He published more than 180 papers, including 40 SCI and 80 EI journal and conference articles. He has received

23 software copyrights, 40 patents of invention, and a technological achievement of Ministry of Education of

China. His research has been supported by a number of national programs of China, such as National Basic

Research Program (973), Natural Science Foundation of China, National High-Tech R&D Program (863), national

high-tech industrialization project of CNGI, National Science and Technology Support Program.

9

2018 ASID Program Schedule

Date：9-11th November, 2018

Location：Science and Arts Center, Xiamen University

Conference Program

Time Registration Open(FRI，9th November) Venue

14:30~17:00 Registration XMU

(Yifu Hotel)

Day1(SAT，10th November )

08:45~09:15 Opening Ceremony

Main Conference

Room

(The 4th hall of

the Science and

Art Center in

XMU on the 2nd

floor )

09:15~10:00 Keynote Speech 1: Prof. Zhiping Yu

Title: RF/mmW CMOS Circuits for 5G Wireless Communication

10:00~10:15 Tea Break

10:15~11:00 Keynote Speech 2: Prof. Tianrui Li

Title: Data-Driven Intelligence: Challenges and our Solutions

11:00~11:45

Keynote Speech 3: Prof. Chunxiao Xing

Title: The Research and Development of Smart Health in the Era

of Big Data and AI

12:00~14:00 Lunch

Cafeteria, the 3rd

floor of Qinye

Eatery

14:00~17:30 Oral Presentation Session /Post Session

Venue

The 4th Conference Room

of the Science and Art

Center on the 2nd floor

The 5th Conference Room

of the Science and Art

Center on the 2nd floor

Corridor of The 4th hall of

the Science and Art

Center on the 2nd floor

Grouping Group1/2 Group3/4/5 Post Session

17:45 ~ Banquet XMU

(Yifu Hotel)

Please every author in oral session prepares a 10 minus’s PPT in English to induce your paper for all

attendees.