Workshops
Scope:  Electronics  Information  Computation technologies
Workshop 1 : Advanced Sensor Array Antenna and Signal Processing Techniques
Keywords: array antenna design, array signal processing, waveform diversity, multi-dimensional signal processing.
Summary: The sensor array antenna and signal processing technique plays an important role in electronic systems, including radar, sonar, navigation, medical imaging, et. al. Sensor array technique can be used for enhancing desired signal and mitigating nuisance signals. A great number of research groups are working on the related topics. Therein, the corresponding research topics are in the top-active and frontier all over the world. As the studied on the sensor array is developed, several novel sensor array frameworks are born, including the waveform diverse array, flying flexible array, massive multiple-input multiple-output, opportunistic array, and so on. 
In this session, we are open to any array antenna design topics as well as array signal processing studies, with the applications in radar, sonar, communication, navigation, et. al. Potential topics include but are not limited to the following:
  • Wideband and high-gain antenna design
  •  Array antenna miniaturization and decoupling technique
  •  Sensor array beamforming
  •  Wideband beamforming
  •  DOA or DOD estimation
  •  Waveform diversity
  •  Waveform optimization
  •  Multiple-dimensional signal processing
  •  Sparse signal recovery

Chair 1: Prof. YANHONG Xu, Xi’an University of Science and Technology, China
Biography:Yanhong Xu was born in Shandong Province, China, in 1989. She received the B.S. degree in electronic engineering and the Ph.D. degree in electromagnetic field and microwave technology from Xidian University, Xi’an, China, in 2012, and 2017, respectively. From 2018/01 to 2019/12, she was a Lecturer with the College of Communication and Information Technology, Xi’an University of Science and Technology, Xi’an, China. Since 2019/12, she was elected as an Associate Professor in the same institute. During a period from 2018/02 to 2020/02, she is a Postdoctoral Fellow in the State Key Laboratory of Terahertz and Millimeter Waves, City University of Hong Kong. Her research interests include array antenna theory, frequency diverse array, wideband antenna and millimeter wave antenna technology. She was elected as an expert of “Thousand Talents Plan” (Young) of Shaanxi Province in 2020. 

Chair 2: Dr. WEIWEI WANG, Institute of Space Radio Technology, China
Biography: Weiwei Wang was born in Shandong province, China. He received the B.S. degree in electronic engineering and the Master degree from China University of Petroleum in 2005 and 2008, respectively, and the Ph.D. degree in signal and information processing from Xidian University in 2013 in China. Since 2013, he serves in Xi’an Institute of Space Radio Technology where he is promoted as Senior Research Fellow. 
His research interests include spaceborne radar system design, synthetic aperture radar technique, multi-sensor array signal processing, and space-time adaptive processing.

Chair 3: Prof. JINGWEI Xu, Xidian University, China
Biography: Jingwei Xu was born in Shandong province, China.  He received the B.S. degree in electronic engineering, and the Ph.D. degree in signal and information processing, both from Xidian University, China, in 2010 and 2015, respectively.  He is currently an Associated Professor at School of Electronic Engineering, Xidian University.  From 2015 to 2017, he was a lecturer at National Lab of Radar Signal Processing in Xidian University.  From 2017 to 2019, he was a Postdoctoral Fellow under “Hong Kong Scholar Program” at Department of Electronic Engineering, City University of Hong Kong. From 2019 until now, he held the Associate Professor position in current institute. From 2021, he is selected as elite Professor in Xidian University. 
His research interests include radar system modeling, multi-sensor array signal processing, space-time adaptive processing, multiple-input multiple-output radar, and waveform diverse array radar. 
He received the prize for excellent Ph.D. dissertation of the Chinese Institute of Electronics in 2017, also the excellent Ph.D. dissertation of Shannxi Province in 2018. He received the Young Outstanding Talents of Shanxi Province in 2020 and Youth Science and Technology New Star of Shaanxi Province in 2021. He currently serves as Associate Editor for IEEE Transactions on Aerospace and Electronic Systems.
Scope:  Electronics; Information; Computation technologies
Workshop 2 : Machine Learning and Optimization for Edge Computing
Keywords: Edge Computing. Machine Learning. Network Optimization. Resource Allocation. Signal Processing. Content Delivery.
Summary: With the explosive of the global mobile traffic, how to improve network quality of service and end-user quality of experience by effectively allocating heterogeneous network resources is a key issue to be solved urgently in future wireless networks. AI-assisted edge computing can be studied to effectively overcome problems such as high latency and traffic load caused by cloud computing. However, realizing cooperative allocation and intelligent optimization of network resources in edge computing is challenging, and there are still many important open research problems.

This workshop aims to bring together the research accomplishments provided by researchers from academia and the industry. The other goal is to show the latest research results in the fields of edge computing and machine learning. The focus of the workshop will be on a broad range of edge computing such as resource allocation, content delivery, signal processing, machine learning, and network optimization involving the introduction and development of new advanced theoretical and practical algorithms. Original research and review articles are welcome.

Chair 1: Assoc. Prof. Chao Fang, Beijing University of Technology, China
Biography: Chao Fang received his B.S degree in Information Engineering from Wuhan University of Technology, Wuhan, China, in 2009, and the Ph.D. degree with the State Key Laboratory of Networking and Switching Technology in Information and Communication Engineering from Beijing University of Posts and Telecommunications, Beijing, China, in 2015. He joined the Beijing University of Technology in 2016 and now is an associate professor. From August 2013 to August 2014, he had been funded by China Scholarship Council to visit Carleton University, Ottawa, ON, Canada, as a joint doctorate. Moreover, he is the visiting scholar of University of Technology Sydney, Commonwealth Scientific and Industrial Research Organization, Hong Kong Polytechnic University, Kyoto University and Muroran Institute of Technology. Dr. Fang is the senior member of IEEE, and the vice chair of technical affairs committee in IEEE ComSoc Asia/Pacific Region (2022-2023). Moreover, he is the leading editors of Electronics and Symmetry special issues. He also served as the Session Chairs of ICC NGN’2015 and ICCC NMNRM’2021, and Poster Co-Chair of HotICN’2018. His current research interests include future network architecture design, information-centric networking (ICN), software-defined networking

Chair 2: Assoc. Prof. Zhuwei Wang, Beijing University of Technology, China
Biography: Zhuwei Wang received his B.S. and the Ph.D. degrees from the Beijing University of Posts and Telecommunications, Beijing, China, in 2005 and 2011, respectively. From 2008 to 2010, he was a Visiting Scholar with the Department of Electronic and Computer Engineering, University of California at San Diego, and from 2012 to 2014, he was a Postdoctoral Research Fellow with the Department of Electrical Engineering, Columbia University, New York City, NY, USA. He is currently an Associate Professor with the Beijing University of Technology, Beijing, China. 

His research interests include networked control systems, edge intelligence, optimization design, and real-time applications such as AIoT, UAV and CCC. He has authored or coauthored more than 70 research papers in international journals and conferences including IEEE TRANSACTIONS ON COMMUNICATIONS, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, IEEE INFOCOM, IEEE GLOBECOM, IEEE WCNC, IEEE ICC, and so on.


Chair 3: Dr. Hua-Min Chen, MediaTek Inc., China
Biography: Hua-Min Chen, received the B.S. in Electronic Information Engineering from Northeast University of China in 2005, and the Ph.D in Information and Communication Engineering from Southeast University of China in 2011, respectively.  From 2010 to 2016, Dr. Chen worked on physical layer design of 4G/5G system as a technical assistant manager in MediaTek Inc. (Beijing), and participated in 4G Rel-11, Rel-12, 5G standardization. 
Dr Chen’s research interests comprises physical layer design for wireless communication system, physical layer algorithm design of 5G system (channel estimation, MIMO design, beamforming and etc. ), and artificial IoT system development.

Chair 4: Assoc. Prof. Zhihao Qu, Hohai University, China
Biography: Zhihao Qu received his B.S degree from Nanjing University in 2009, and his Ph.D. degree from Nanjing University in 2018. He joined Hohai University in 2019 and now is an associate professor. Moreover, he was a visiting scholar of Hong Kong Polytechnic University from 2019 to 2020. Dr. Qu is a member of IEEE and a member of CCF. He served as the Publication Chair of ICPADS 2020, the Publicity Chair of DPCS 2022, the Workshop Chair of ICFEICT 2022. He also served as the Technical Program Committee of WASA’2022, GlobeCom’2022, ICA3PP’2021, WASA’2021, INFOCOM workshop ICCN’2021, and ICFC’2020. His current research interests include federated learning, edge computing, and distributed machine learning.


Scope:  Computation technologies
Workshop 3 : Image Processing and Pattern Recognition
Keywords: image processing, image segmentation, image analysis, pattern recognition, computer vision, machine learning, knowledge representation, deep learning, image retrieval
Summary: Image processing and pattern recognition use computer technology and mathematical methods to carry out scientific research on the representation of image or video information, encoding and decoding, image segmentation, image segmentation, image analysis, image quality evaluation, target detection and recognition and stereo vision. The main research contents include: pattern recognition and security monitoring of image or video, medical or material image processing, evolutionary algorithm, artificial intelligence, rough set and data mining. It is widely used in face recognition, fingerprint recognition, optical character recognition, natural language processing and information management systems in many fields. 
The aim of this workshop is to bring together the research accomplishments of image processing and pattern recognition provided by researchers from academia and the industry. The other goal is to show the latest research results in the field of image processing and pattern recognition. We encourage prospective authors to submit related distinguished research papers on the subject of both: theoretical approaches and practical case reviews. Please name the title of the submission email with “paper title_workshop title”.

Chair : Prof. Huimin Lu School of Computer Science and Engineering, Changchun University of Technology, China
Biography: Huimin Lu graduated from Xi'an Jiaotong University and obtained her master’s and doctor’s degree in Computer Science and Technology in 2005 and 2010 respectively. She completed her research at the Postdoctoral Programme in Computer Science and Technology of Jilin University in 2014, and she was a visiting scholar at the University of Missouri-Columbia, USA from 2016-2018. She is a professor and vice dean at the School of Computer Science and Engineering of Changchun University of Technology, and a doctoral supervisor in Statistics, Data Science and Artificial Intelligence, and a master supervisor in Computer Science and Technology, and Electronic Information. Her research interests include Artificial Intelligence and Application, Data Analysis and Mining, Biometrics, Computer Vision and other fields. She has participated in a number of National Natural Science Foundation, and National 863 Program projects, and she also has presided over a number of scientific research projects such as the National Natural Science Foundation of China, the Natural Science Foundation of Jilin Province, key R & D, major R & D, and industrial technology R & D of Jilin Province. On the basis of these projects, she has published more than 50 academic papers indexed by SCI and EI, and obtained more than 10 patents and software copyrights. Moreover, she also got the Jilin Provincial Science and Technology Progress Award and the State Federation of Commerce Science and Technology Progress Award.

Scope:  Electronics; 
Workshop 4 : Theory and technology of multi-domain cooperative localization of wireless signals in complex scenarios.
Keywords: Wireless positioning, Cooperative localization, Complex scenarios, Multi-domain cooperation.
Summary: Wireless signal positioning technology has been widely used in many industrial and information technology fields such as wireless communication, smart city, radio astronomy, aerospace, seismic survey, automatic driving, national defense security and so on, and is playing an increasingly important role in them. However, in actual physical scenarios, the electromagnetic signal and channel environment are extremely complex, and there are many factors that restrict the performance of wireless signal localization. Multi-domain cooperative processing is an important way to improve the performance of wireless signal localization in complex electromagnetic environment. 
This workshop is dedicated to publishing research papers related to "Theory and technology of multi-domain cooperative localization of wireless signals in complex scenarios", aiming at publishing innovative and cutting-edge theories and applications in this field. Potential topics include but are not limited to the following:
(1)Theory and technology of multi-system cooperative positioning. 
(2)Theory and technology of multiple-target cooperative localization. 
(3)Direct position determination technique by using signal waveform information. 
(4)Wireless signal positioning and detection integration technology. 
(5)Wireless signal positioning and identification integration technology. 
(6)Theory and technology of cooperative localization in wireless sensor networks. 
(7)Theory and technology of wireless cooperative positioning based on machine learning. 
(8)Theoretical performance analysis for wireless cooperative localization. 
(9) Wireless positioning based on machine learning.

Chair 1: Assoc. Prof. Ding Wang, PLA Strategic Support Force Information Engineering University, China
Biography: Ding Wang, received his bachelor's, master's and doctor's degrees from Information Engineering University in July 2004, July 2007 and December 2011 respectively. From January 2015 to January 2018, he worked as a postdoctoral researcher at Information Engineering University. He worked as an associate professor and doctoral supervisor in the School of Information Systems Engineering, Information Engineering University. He was supported from National Natural Science Foundation of China (Grant No. 62171469, Grant No. 62071029 and Grant No. 61772548), China Postdoctoral Science Foundation (Grant No. 2016M592989), Key Scientific and Technological Research Project in Henan Province (Grant No. 192102210092). His research interests include wireless signal cooperative localization and array signal processing. As the first/corresponding author, he published more than fifty papers in SCI source journal, and as the first author, he published five monographs. He won two second-class prizes and five third-class prizes for provincial and ministerial scientific and technological progress, and won the top article award in outstanding S&T Journals of China (F5000) in 2020.

Chair 2: Assoc. Prof. Yin Jiexin, PLA Strategic Support Force Information Engineering University, China
Biography: Yin Jiexin, received her bachelor's, master's and doctor's degrees from Information Engineering University in June 2011, June 2014 and June 2018 respectively. She worked as a member in the College of Information Systems Engineering, Information Engineering University, and as a postdoctoral researcher at Information Engineering University. She was supported from the National Natural Science Foundation of China (Grant No. 61901526), China Postdoctoral Science Foundation (Grant No. 2019M663997), and the military special projects. Her research interests include wireless signal cooperative localization and array signal processing. As the first/corresponding author, she published more than thirty papers in SCI source journal, and she published three monographs. She won one second-class prize and four third-class prizes for provincial and ministerial scientific and technological progress, and PLA excellent master's and doctoral dissertations. She won the 7th China Youth Scientific and Technological Innovation Award, and "Xiaoping Scientific and Technological Innovation Team" as the team leader.
Workshop 5 Artificial intelligence and its cross-domain applications
Keywords: Intelligent architecture, Agricultural crop phenomics, Medical rehabilitation robotics, Virtual reality and Intelligent product design,Art.
Summary: Artificial Intelligence is a new technical science that researches and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Research in this area includes robotics, speech recognition, image recognition, natural language processing and expert systems. Since the birth of artificial intelligence, its theory and technology are increasingly mature, with the development of&nb