KEYNOTE SPEAKERS

 

Ce Zhu, University of Electronic Science & Technology of China
IEEE/Optica/IET/AAIA Fellow, ChangJiang Distinguished

Dean, Glasgow College, University of Electronic Science and Technology of China (UESTC), China

 

Ce ZHU is a ChangJiang (Cheung Kong) Distinguished Professor at the University of Electronic Science and Technology of China (UESTC), China, and serves as the Dean of Glasgow College, a joint school between the University of Glasgow, UK and UESTC, China. He is also an affiliate professor of James Watt School of Engineering, University of Glasgow, UK (https://www.gla.ac.uk/schools/engineering/staff/index.html/staffcontact/person/33dceded8494). He has been leading the Lab of Advanced Visual Communication & Computing, UESTC, as the Founding Director since 2012. He was with Nanyang Technological University (NTU), Singapore, for 14 years from 1998 to 2012, where he was a Research Fellow, a Program Manager, an Assistant Professor and then promoted to an Associate Professor in 2005. Additionally, he held visiting positions at Queen Mary University of London (UK) in 2008, and Nagoya University (Japan) in 2011. Previously, he pursued postdoctoral research at the Chinese University of Hong Kong, Hong Kong, in 1995, City University of Hong Kong, Hong Kong, and the University of Melbourne, Australia, from 1996 to 1998. He received his B.S. degree from Sichuan University, Chengdu, China, in 1989, and his M.Eng and Ph.D. degrees from Southeast University, Nanjing, China, in 1992 and 1994, respectively, all in electronic and information engineering.

His research interests lie in the general areas of visual information processing, multimedia signal processing and systems, specializing in image/video coding and processing, 3D video, (AI-enabled) visual analysis, perception and applications. He has authored or co-authored over 350 publications, which have received 13,200+ citations (H-index: 61) in Google Scholar. As the lead editor, he has edited three books and contributed five book chapters. He co-authored a book entitled “Tensor Computation for Data Analysis” (Springer) released in 2021. He has filed more than 120 patents (97 granted with 4 transferred and 10 PCT). He has contributed 88 proposals (37 adopted) to the JVET, JCT-3V, MPEG IVC, and AVS2 video coding standardizations (mainly on encoding optimization, with proposed techniques adopted in the standard reference software). He is one of the principal drafters of a certified industrial standard in China, namely Video mezzanine coding – Part 1: Scalable ultra high-definition video coding (GY/T 398.1—2024).

Prof. Zhu has served on the editorial boards of a dozen journals, including as an Associate Editor of  IEEE Transactions on Image Processing,  IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Broadcasting, IEEE Signal Processing Letters, an Editor of IEEE Communications Surveys and Tutorials, an Area Editor of Signal Processing: Image Communication (Elsevier), an Associate Editor of Multidimensional Systems and Signal Processing (Springer), an Editorial Board Member of Multimedia Tools and Applications (Springer), and an Associate Editor of Frontiers in Signal Processing – Image Processing. He has also served as a Guest Editor of five special issues in international journals, including IEEE Journal of Selected Topics in Signal Processing. He has been involved in organizing numerous international conferences, including serving as a General Chair of IEEE BMSB 2021 and a Technical Program Chair of IEEE ICME 2017, at both of which he received Outstanding Leadership Award. He has also delivered three-hour tutorials at international conferences, including at the IEEE ISCAS 2015, IEEE VCIP 2014, PCM 2014, and has also been invited to deliver keynote speeches at a dozen of international conferences, including the most recent keynote at the APSIPA ASC 2024.

He is now serving as the Chair of IEEE ICME Steering Committee (2024-2025), and the Chair of IEEE Chengdu Section (2024-2028). He has served as a Co-Chair of the Interest Group of Multimedia Processing for Communications (MPCIG) of Technical Committee on Multimedia Communications (MMTC), IEEE ComSoc, and a Chair of Special Interest Group on Big Multimedia of Technical Committee on Multimedia Computing, IEEE Computer Society. He was an elected member of the Multimedia Signal Processing Technical Committee (MMSP-TC, 2015-2020), the Chair of Webmaster Subcommittee of MMSP-TC, IEEE SPS, and an elected member of the Multimedia Systems and Applications Technical Committee (MSA-TC, 2004-2012, 2015-2023), IEEE CASS.

He is a Fellow of IEEE (2017, “for contributions to video coding and communications”), a Fellow of Optica (formerly OSA, 2024, “For pioneering and sustained contributions to visual information coding and processing”), a Fellow of IET (2014), a Fellow of AAIA (2021), and a Fellow of AIIA (2024). He was a Distinguished Lecturer of IEEE Circuits and Systems Society (2019-2020), IEEE Broadcast Technology Society (2012-2019), and an APSIPA Distinguished Lecturer (2021-2022). He has received 8 (best) paper awards, including three Best Paper Awards (IEEE HPCC 2022, IEEE BMSB 2014, IIH-MSP 2013), a Best Paper Runner Up Award (IEEE ICME 2020), and three Best Student Paper Awards (IEEE BMSB 2018, IEEE ICME 2017, MobiMedia 2011), and a Best Demo Award (IEEE MMSP 2022). He has been ranked among the Most Cited Chinese Researchers by Elsevier each year in the latest eight years since 2017. He has also been ranked as one of the World’s Top 2% Scientists since 2020, released by Stanford University.

 

 

Yefeng Zheng, Westlake University, China

IEEE Fellow, AIMBE Fellow

Prof. Yefeng Zheng was born in Jiangshan, Zhejiang, in 1975. He is a fellow of the Institute of Electrical and Electronics Engineers (IEEE), and a fellow of the American Institute for Medical and Biological Engineering (AIMBE). He received his bachelor's and master's degrees from the Department of Electronic Engineering, Tsinghua University, China in 1998 and 2001, respectively, and a Ph.D. degree from the Department of Electrical and Computer Engineering, University of Maryland, College Park, U.S.A. in 2005. From 2006 to 2017, he worked at Siemens Corporate Research in Princeton, New Jersey, U.S.A. on medical image analysis. From 2018 to 2024, he was a distinguished scientist and director of the Tencent Jarvis Lab, leading the company's initiative on medical artificial intelligence. He joined Westlake University in July 2024 as a tenured full professor.  He serves as an associate editor of IEEE Transactions on Medical Imaging and worked as the program co-chair of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2021, as well as an area chair for various top conferences in artificial intelligence (including NeurIPS, AAAI, IJCAI, and MICCAI).

 

 

Hongyan Zhang, China University of Geosciences, Wuhan, China

Dean, School of Computer Science, CUG (Wuhan)

Hongyan Zhang, male, born in 1983, Ph.D., professor and doctor of Wuhan University, young scholar of the “Changjiang Scholars Award Program” of the Ministry of Education. Mainly engaged in high-resolution remote sensing, intelligent remote sensing information processing and agricultural remote sensing research. He has presided over 4 national natural science fund projects and 2 provincial and ministerial level scientific research projects. More than 90 papers have been published/received in academic journals and conferences at home and abroad, including 48 SCI papers, 26 EI search papers, 2 ESI hot papers (0.1% globally in geosciences), and 5 high-cited ESI papers ( The world's top 1% of the field of geology and Elsevier's annual hot papers, published 1 academic monograph, applied for / approved 5 national invention patents, the paper has been cited more than 2,300 times. The research results have won the first prize of the 2017 National Surveying and Mapping Science and Technology Progress Award, the second prize of the 2018 Hubei Natural Science Award and the 2019 IEEE Earth Science and Remote Sensing Data Fusion Competition. He has been selected into the “Changjiang Scholars Award Program” of the Ministry of Education, the first batch of “Future Scientist Program” by the China Scholarship Council, and the “351 Plan” of Wuhan University. Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) is invited to serve as the deputy editor of SCI journals such as PE & RS, Computers & Geosciences, IEEE Access, and the chair of the international conferences such as IEEE IGARSS and IEEE WHISPERS, and serves as IEEE TIP, IEEE TGRS, and IEEE. Reviewers of 38 international SCI journals such as TCYB and IEEE JSTARS.

 

 

iNVITED SPEAKERS

 

 

Yao Lu

Sun Yat-sen University, China

Yao Lu is a full professor at the School of Computer Science and Engineering, Sun Yat-sen University in Guangzhou, China. He is a director of the Institute of Scientific Computing, and a member of the Standing Committee of the 10th Guangdong Provincial Association for Science and Technology. Prof. Yao Lu studied at the University of Science and Technology of China, the Institute of Mathematics and Systems Science of the Chinese Academy of Sciences, and Syracuse University. After graduating with a Ph.D., he conducted research on breast cancer medical imaging at the University of Michigan. He was a Postdoctoral Research Fellow and Research Investigator at the University of Michigan Medical School. His research interests are in medical imaging, image processing and medical image analysis. His research has been supported by 16 grants, including the National Science Foundation of China, the Department of Education of China, and the Department of Science and Technology of Guangdong Province, China. He has published above 140 journal papers and conference proceeding papers. He has been selected by the National Talent Plan Youth Project and "Yixian Outstanding Scholar" of Sun Yat-sen University.

Invited Speech Title: TBA

 

Hongyuan Jing

Beijing Union University, China

Hongyuan Jing is currently an Associate Professor at the School of Artificial Intelligence, Beijing Union University, China. He received his Ph.D. in Engineering from the Communications and Embedded Systems Laboratory at the University of Leicester, UK in 2019. He serves as a technical program committee member and session chair for several international conferences such as ICGIP and ICCCS. His research interests include computer vision, deep learning, object detection, image restoration, and multi-sensor fusion. He has published more than 30 papers in SCI-indexed journals including IEEE TIM and IoT. He has led or participated in multiple research projects funded by the EU FP7 program, China's National Key R&D Program, the Beijing Natural Science Foundation, and industry partners. He won the championship in the CVPR-NTIRE Multi-Scenario Raindrop Removal Challenge. He also serves as a reviewer for journals such as MS and TVC et.al.

Invited Speech Title: TBA

 

Philippe Durand

CNAM- Paris, France

Durand is Senior Lecturer in the Mathematics and Statistics Department of the National Conservatory of Arts and Crafts in the Mathematical and Numerical Modeling Department (M2N), and he works on the interaction between mathematical engineering and theoretical tools of mathematics like algebraic topology which usage has been increasing since the introduction of modern mathematics in the early sixties. He is interested in the mathematization of gauge theories in physics and string theory, and the application of topological and statistical methods to image processing. In the past, he invested in different methods of pattern recognition, and in particular the tools of mathematical morphology for the extraction of texture information. His recent works currently concern the use of topological data analysis and different approaches to applying classical or quantum neural networks to image processing. He published his results in various journals of applied mathematics, mathematic engineering, computer science and various proceedings of image processing conferences.

Invited Speech Title: Prediction of meteoric phenomena by a Quantum Neural and TDA approach

In this presentation, we propose original methods to predict the evolution of an exceptional storm disturbance, evolving in the form of Arcus between 6 a.m. and 8 a.m. and having caused a lot of damage on the west coast of Corsica on August 18, 2022. We compare the results combining a hybrid architecture consisting of a LSTM neural network and a classical CNN and a quantum neural network (QNN) which exploits quantum circuits on a series of Eumetstat satellite data from METEO France and C.A.P.E. data. The prediction in the case of the hybrid quantum neural network is of better quality than those given by the classical approach and above all faster. This approach is intended to be crossed by previous works from the topological data analysis (TDA) and persistence diagrams.

 

Shuaifeng Zhi

National University of Defense Technology (NUDT), China

Homepage: https://shuaifengzhi.

Shuaifeng Zhi currently a Lecturer (Assistant Professor) at the Department of Electronic Science and Technology, National University of Defense Technology (NUDT), China. He is selected for the 10th Youth Talent Support Program of China Association for Science and Technology (CAST) and the grantee of Hunan Provincial Natural Science Foundation for the Excellent Young Scientists Fund. He received the PhD degree in computing research from the Dyson Robotics Laboratory, Imperial College London in 2021, supervised by Prof. Andrew J. Davison and Prof. Stefan Leutenegger. He obtained the MSc.Eng and B.Eng from NUDT in 2017 and 2015, respectively. He was also a CSC-funded 6-month visiting student in 5GIC, University of Surrey in 2015. His current research interests focus on robot vision, particularly on scene understanding, neural scene representation, and semantic SLAM. He has published more than 10 papers from ICCV (Oral), CVPR, ICLR, IEEE T-PAMI, IEEE RA-L, etc.

Invited Speech Title: TBA