Prof.
Licheng Jiao IEEE/IET/CAAI/CAA
/CCF/CIE Fellow, HuaShan Outstanding Professor
Xidian
University, China
Bio sketch: Licheng Jiao has been a full professor in Xidian
University since 1992. He is the member of the Academia
Europaea. He is the HuaShan Outstanding Professor of Xidian
University, the director of the Faculty of Computer Science
and Technology of Xidian University, International Research
Center for Intelligent Perception and Computation, Key
Laboratory of Intelligent Perception and Image Understanding
of Ministry of Education, Joint International Research
Laboratory of Intelligent Perception and Computation, and
National Base of Intelligent Information Processing. His
professional activities include IEEE/IET/CAAI/CAA /CCF/CIE
Fellow, the member of the International Division of
Scientific and Technological Committee of the Ministry of
Education in China, the vice board chairperson of Chinese
Association of Artificial Intelligence. He is the chairman
of IET Xi’an Network, the Xi’an Chapter of IEEE
Computational Intelligence Society, the Award Commission of
IEEE Xi’an Chapter, and the Xi’an Chapter of IEEE Geoscience
and Remote Sensing Society. He is the Associate Editor of
“IEEE Transactions on Geoscience and Remote Sensing” and
“IEEE Transactions on Cybernetics”, the Presiding Panelist
for the Innovative Team in the Ministry of Education, the
member of the Subject Consultative Group of the State
Council and the expert of the Undergraduate Teaching Level
Evaluation of the Ministry of Education, evaluation expert
of the National Natural Science Foundation Information
Division, member of the Assessment Panel of National
Postdoctoral Management Committees.
He has been receiving special government allowance from the
State Council since 1991. In 1996, he was included among the
first batch of in the New Century Talents Project (the first
and second classes) and the “Three Fives” Talent Project of
Shaanxi Province. He was selected as the National Model
Teacher by the Ministry of Human Resources and Social
Security of China, the Outstanding Contribution Expert of
Shaanxi Province, the Teacher Pacemaker of Ethics in Shaanxi
Province, and the deputy of the 8th National People’s
Congress.
The research direction of Prof. Jiao includes intelligent
perception and image understanding, image understanding and
object recognition, deep learning and brain-inspired
computation. More than 10 of his students have won the
National Excellent Doctoral Dissertation Award and
nomination, or the Shaanxi Province Excellent Doctoral
Dissertation Award. His research results have won the Youth
Science and Technology Award, the Second Prize of National
Natural Science Award and several provincial-level first
Prizes. More than 20 Academic monographs have been
published, which have won the National Scientific Book Award
6 times and the first “Three One-hundreds” Excellent Book
Award. Evaluated by the Google Scholar, the H-index of his
publication is 100.
Prof. Bo Ai IEEE Fellow, IET
Fellow,
IEEE VTS Beijing Chapter Vice Chair IEEE BTS Xi'an Chapter Chair
Bio sketch: Prof. Bo Ai is now working as a full Professor and Ph.D. supervisor at Beijing Jiaotong University, where he is a deputy director of State Key Lab. of Rail Traffic Control and Safety, and a deputy director of Research Institute of Modern Telecommunications. He is one of the main responsible people for Beijing "Urban rail operation control system" International Science and Technology Cooperation Base, and the backbone member of the Innovative Engineering Based jointly granted by Chinese Ministry of Education and the State Administration of Foreign Experts Affairs. He was a visiting professor at EE department, Standard University during March and September, 2015. During his visiting period, he has been invited by Stanford International Developing Center, UC Berkeley, University of South California, Harvard, University of Maryland, Georgia Tech. for academic presentations. He has authored 6 books and published over 300 scientific research papers in his research area. He has hold 26 invention patents. He is serving as an associate editor for IEEE transactions on Consumer Electronics and an editorial member of Wireless Personal Communications. He has been notified by Council of Canadian Academies (CCA) that, based on Scopus database, Prof. Ai Bo has been listed as one of the Top 1% authors in his field all over the world. Prof. Ai Bo has also been Feature Interviewed by IET electronics Letters. Recently, he has coauthored a book with European Union and North American scholars invited by Wiley John & Sons for a 5G book: Fundamentals for 5G Mobile Networks. Prof. Bo Ai was elected as IEEE fellow for contributions to channel modeling and wireless communications in high-speed railways.
Prof. Haiquan Zhao School of
Electrical Engineering
Bio sketch: Zhao Haiquan, Doctor of Engineering, professor, doctoral supervisor, He is also an IEEE Senior Member and CIE Senior Member, as well as an Elsevier Highly Cited Researcher and the top 2% of the world's top scientists, academic and technical leader in Sichuan Province, outstanding expert with outstanding contributions in Sichuan Province, winner of Sichuan Outstanding Youth Fund and core member of Sichuan Youth Science and Technology Innovation Team, Won the First Prize of Natural Science of CAA of Chinese Society of Automation in 2019 (ranked 3rd), the second Prize of Natural Science of CAA of Chinese Society of Automation in 2018 (ranked 1st), the second Prize of Science and Technology Progress of the Ministry of Education (ranked 3rd), and the 12th Jeme Tianyou Railway Science and Technology Award - Youth Award. The 9th Jeme Tianyou Science and Technology Award of Ministry of Railways - Jeme Tianyou Special Award of Southwest Jiaotong University, Tang Lixin Outstanding Scholar Award; Executive Director of Provincial Science and Youth Federation, member of Sichuan Youth Federation, Executive director of Chengdu Knowledge Association. Serves on the editorial board of international journals such as Signal Processing, IEEE TSMCA, IEEE Sensor Journal and IEEE Signal Processing Letters.
Title: Robustness of ITL-based Broad Learning System
Abstract: As an emerging machine learning model, BLS(broad
learning system) is renowned for its simple flattened
network structure and efficient retraining capabilities. In
this report, we mainly present some of our recent work on
its robustness.
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