Assoc.
Prof. Peixian Zhuang
University of Science and Technology Beijing, China
Peixian Zhuang is currently an Associate Professor in
the Key Laboratory of Knowledge Automation for
Industrial Processes, Ministry of Education, the School
of Automation and Electrical Engineering, University of
Science and Technology Beijing, Beijing, China. From
2020 to 2022, he was a Postdoctoral Fellow and an
Assistant Research Fellow with the Department of
Automation, Tsinghua University, Beijing, China. He
received the Ph.D. degree from Xiamen University,
Xiamen, China, in 2016. From 2017 to 2020, he was a
Lecturer with Nanjing University of Information Science
and Technology, Nanjing, China.
His research interests include sparse representation,
Bayesian machine learning, and deep learning. He has
published more than 40 research papers (IEEE TIP, TCVST,
TGRS, etc.) in Image Processing and Computer Vision,
with more than 1200 times of Google citations and 4
papers of highly cited ESI. He was a recipient of the
Outstanding Doctoral Dissertations of Fujian province in
2017, and a winner of IFAC Engineering Applications of
Artificial Intelligence Paper Prize Award-Application in
2023. He has served as a Reviewer for International
Journal of Computer Vision, IEEE Transactions on Image
Processing, IEEE Transactions on Geoscience and Remote
Sensing, IEEE Transactions on Circuits and Systems for
Video Technology, IEEE Transactions on Computational
Imaging, IEEE Transactions on Cybernetics, etc. He also
served as the Session Chair for IEEE International
Conference on Signal and Image Processing in 2019, the
Guest Editor for Journal of Electronics and Information
Technology in 2021, the Top 25% reviewer of Association
for the Advancement of Artificial Intelligence (AAAI) in
2021, the Outstanding Reviewer of Journal of Electronics
and Information Technology in 2022, etc.
Assoc.
Prof. Guangyu Gao
Beijing Institute of Technology, China
Gao Guangyu, Ph.D., Associate Professor in Beijing
Institute of Technology, IBM Faculty Award Scholar. He
is the vice director of the Institute of Data Science
and Knowledge Engineering at Beijing Institute of
Technology. He also serves as the Secretary of the China
Engineering Education Accreditation Association (CEEAA).
Previously, he served as the assistant director of the
Economic and Information Commission of Shunyi District,
Beijing.
He obtained his Ph.D. in Engineering jointly from
Beijing University of Posts and Telecommunications and
the National University of Singapore in 2013, and in
2016, he was a visiting scholar at IBM China Systems
Development Center.
His main research interests include deep learning,
computer vision, and multimedia analysis. He was awarded
as the IBM Faculty Award in 2016, 2017 and 2019, which
is highly competitive and recognizes the quality of his
research and program as well as its importance to the
industry. His work won the IEEE Nominate Video Award at
the 12th IEEE International Conference on Ubiquitous
Intelligence and Computing (UIC 2015). He also directed
his students to win the Honorable Mention in ``Vision
Meets Drone: A Challenge-Task-2: object detection in
videos" of ICCV 2019.
Assoc.
Prof. Ye Yu
Hefei University of Technology, China
Ye Yu is currently an Associate Professor in the School
of Computer Science and Information Engineering/ School
of Artificial Intelligence, Hefei University of
Technology (HFUT), Hefei, China. She received her Ph.D.
Degree in Computer Science and Technology from HFUT in
May 2010. In June 2010, she joined the School of
Computer Science and Information Engineering, HFUT. She
was a Visiting Scholar with the University of North
Texas, and the State University of New York at Buffalo.
Her research interests include computer vision,
artificial intelligence, and machine learning. She is a
member of the China Computer Federation (CCF) and the
China Society of Image and Graphics (CSIG). She has
published more than 40 research papers (IEEE ITSs,
TCVST, Acta Automatica Sinica, etc.), and has obtained
18 national invention patents, 2 national utility model
patents, more than 20 software copyright registration.
She participated in the "Research on Key Technologies of
Intelligent Identification and Correlation Comparison of
Operating Vehicles and Drivers" and won the first prize
of Anhui Provincial Transportation Science and
Technology Progress Award; She won the titles of
challenges such as ECCV 2022, CVPR2021 and ICME2020,
CCF-CV service contribution award in 2020, special prize
for college teaching and excellent class teacher.
Assoc. Prof. Yang Wei
Nottingham Trent University, UK
Dr Yang Wei is the Associate Professor in Wearable
Technologies, Department of Engineering, School of
Science and Technology. Dr Wei is the Head of Smart
Wearable Research group and also the lead of smart
medical textile in Medical Technologies Innovation
Facility (MTIF), a £23M medical device accelerator. His
research focuses on smart textile innovations that
enable real time early detection, prevention and
treatments which would benefit both patients and
healthcare professionals. He has published more than 60
research papers in the field of printing technologies,
smart materials and healthcare technologies. Dr Wei has
been the PI and Co-I on a number of grants with a total
award of £3M. He is the steering group committee member
of EPSRC e-textile network and the member of EPSRC
e-future network. He is a regular reviewer, introducer
of EPSRC, MRC and NIHR, and sit on EPSRC Digital Health
and Care Hub/Digital healthcare panels and NIHR fast
track panel.
Dr. Hongzhi Chen
Tianyi Cloud, China Telecom, China
Dr. Hongzhi Chen received his PhD degree in 2011 from
the University of Central Lancashire in the UK. He is
currently the AI technology product manager of Tianyi
Cloud, China Telecom. He has received support from
multiple China NSFC funding and key research and
development programs for his research and implementation
in the fields of CV, NLP, acoustic signal processing, as
well as AIGC integrated applications. He has served in
multiple Fortune 500 companies including China Aerospace
Science and Industry Corporation, Lenovo, and China
Telecom, with over a decade of productization experience
in various vertical fields. He has provided intelligent
product and services to dozens of well-known enterprises
and public organizations in the areas of multi-objective
collaborative optimization, digital twin, prediction and
decision-support, cognitive intelligence engineering,
and the integration of various - scale AI models with
business systems for CRM, supply chain, intelligent
asset management, and human resources management.
Chinese
Chinese