The 7th International Conference on Image and Graphics Processing (ICIGP 2024)   Beijing, China | January 19-21, 2024

Invited Speakers

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.