Prof. Xingbo Wang
Foshan University, China
Dr. & Prof. Xingbo Wang got his Master and Doctor’s degrees at National University of Defense Technology (NUDT) of China. Since 1994, he had worked at NUDT on CAD/CAM/CNC technologies till 2010. Since 2010, he has been a professor in Foshan University with research interests in intelligent manufacturing system and computer applications. Prof. Wang is now in charge of Guangdong Engineering Center of Information Security for Intelligent Manufacturing System, where a lot of cryptography problems have to be dealt with the elementary number theory. He then set up a new method to study odd integers by means of perfect full binary tree and derived out many new properties of the odd integers, including genetic property that makes it easier to factorize an odd integer. Now Prof. Wang is devoting himself to developing a fast algorithm to integer factorization and intending to solve the hard problem of integer factorization.
Speech Title: "Progress in Applying Valuated Binary Tree to Factorize Big Integers"
Abstract: Finding new methods to solve the hard problem of integer factorization has gone on for tens of years in cryptography but better methods are still in need. Even in the era of quantum computing, conventional approaches are necessary as a part of science researches. The method derived from valuated binary tree, which was raised in 2016, has revealed rigorous power in studying odd integers. This paper overviews the method from its origination to its achievements so as to make people know the method well. Four characteristics of symmetric property, genetic property, boundary property and connection property are introduced with their main traits. Achievements are exhibited briefly in integer factorization of both general purpose and special purpose. The paper shows that, the new method might be rigorous and prosperous in the future.
Assoc. Prof. Xiaolong Li
University of Electronic Science and Technology of China, China
Xiaolong Li was born in Jiangxi, China. He received the B.S. and the Ph.D. degrees from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2011 and 2017, respectively. Since 2017, he has been a Faculty at the School of Information and Communication Engineering, UESTC. From 2018 to 2019, he was a Visiting Researcher with the Department of Electrical and Computer Engineering, National University of Singapore, Singapore. He is currently an Associate Professor at UESTC. His research interests include radar moving target detection, weak signal parameter estimation, and MIMO radar signal processing and radar imaging, with an emphasis on coherent integration technique for high speed maneuvering target detection. He was the recipient of the Prize for Excellent Ph.D. degree dissertation of the Chinese Institute of Electronics in 2017. In 2020, he was selected in the Young Talents Program of the China Association for Science and Technology. He was the Section Chair of the 2019 ICCAIS, 2020 IET International Radar Conference, and 2021 CIE International Conference on Radar. He is the Guest Editor of the Journal of Radars and frequently a Reviewer of IEEE TSP, IEEE TGRS, IEEE GRSL, SP, DSP, and many international conferences.
Speech Title: "Signal Integration Processing Method for Radar High Speed Moving Target Detection"
Abstract: With the development of science technology, more and more moving objects with high speed appear in the radar detection filed. These moving targets are often with fast flight velocity, long attack range and strong stealth ability, which bring great challenges to modern radar signal processing field. How to improve the radar detection ability for the high-speed moving targets also attracts much attentions in the recent years. It is well-known that the signal-to-noise ratio (SNR) of radar returns and detection performance could be enhanced significantly via long-time signal integration of different sampling pulses. However, because of the target’s high velocity and maneuverability, some issues, such as range migration and Doppler spread, should be addressed within the l signal integration processing. Otherwise, the integration performance of traditional moving target detection (MTD) algorithm will be severely degraded. In this presentation, we will analyze the problems of high-speed target coherent integration processing and establish the corresponding target echo signal model. At the same time, we will introduce the research progress of our group in signal coherent integration processing area.