Keynote Speaker

Prof. Yang Yue, SPIE Fellow, IEEE/Optica Senior Member

Xi'an Jiaotong University, China

Yang Yue received the Ph.D. degree in electrical engineering from the University of Southern California, USA, in 2012. He is a Professor with the School of Information and Communications Engineering, Xi'an Jiaotong University, China. Dr. Yue’s current research interest is intelligent photonics, including optical communications, optical perception, and optical chip. He has published over 260 journal papers (including Science) and conference proceedings with >10,000 citations, six edited books, two book chapters, >60 issued or pending patents, >200 invited presentations (including 1 tutorial, >30 plenary and >50 keynote talks). Dr. Yue is a Fellow of SPIE, a Senior Member of IEEE and Optica. He is an Associate Editor for IEEE Access and Frontiers in Physics, Editor Board Member for four other scientific journals, Guest Editor for >10 journal special issues. He also served as Chair or Committee Member for >100 international conferences, Reviewer for >70 prestigious journals.

Prof. Chao Zuo, SPIE/Optica Fellow

Nanjing University of Science and Technology, China

Dr. Chao Zuo is a professor in optical engineering, Nanjing University of Science and Technology (NJUST), China. He leads the Smart Computational Imaging Laboratory (SCILab: www.scilaboratory.com) at the School of Electronic and Optical Engineering, NJUST, and is also the founder and director of the Smart Computational Imaging Research Institute of NJUST. He has long been engaged in the development of novel Computational Optical Imaging and Measurement technologies, with a focus on Phase Measuring Imaging Metrology such as Holographic Interferometric Microscopy, Noninterferometic Quantitative Phase Imaging (QPI), Fringe Projection Profilometry (FPP), and Structured Illumination Microscopy (SIM). He has authored > 200 peer-reviewed publications in prestigious journals (e.g., Light, Optica, Adv. Photon.) with over 12,000 citations. These researches have been featured on journal cover over 20 times and highlighted by Nature, Light. Sci. Appl., SPIE Newsroom, CLP Newsroom, and Optica Image of the Week. He is a Clarivate Highly Cited Researcher and a Fellow of SPIE and Optica. He also serves as an Associate Editor of Optics and Lasers in Engineering and PhotoniX.

Prof. Tao Lei,IEEE/CCF/CSIG Senior Member,Vice Dean

Shaanxi University of Science & Technology, China

Speech Title: Consistency Learning for Semi-supervised Image Segmentation

Speech Abstract: Image segmentation is a key technology in the field of computer vision. At present, a large number of research results on image segmentation have been reported and used for many fields such as industry, agriculture, entertainment, and medicine. In this report, we focus on medical image segmentation using consistency learning methods. At present, the mainstream medical image segmentation methods face the following challenges. Firstly, accurate segmentation of medical images is difficult due to high noise and low contrast. Secondly, mainstream medical image segmentation models have a large number of parameters and slow inference speed, making it difficult to deploy on low-resource devices. Finally, pixel-level annotation of medical images is very expensive and requires professional knowledge. To address these problems, we have proposed some novelty semi-supervised network models for medical image segmentation under limited labeling samples, and these models show better performance than SOTA methods.

Prof. Mingguang Shan

Harbin Engineering University, China

Dr. Shan, professor, doctoral supervisor, head of photoelectric information intelligent processing technology team, director of the provincial "Advanced Intelligent Perception Technology Collaborative Innovation Center", director of Instrumentation Society of Mechanical Measurement Test Instrumentation Branch, member of Optical Society of China Holography and Optical Information Processing Specialized Committee, member of Optical Society of China Optical Testing Specialized Committee, member of China Instrumentation Society Youth Working Committee, member of the First Advanced Optical Manufacturing Youth Expert Committee of Optical Engineering Society of China. He is also a member of the Youth Working Committee of the Chinese Society of Instrumentation and Instrumentation, and a member of the First Advanced Optical Manufacturing Youth Expert Committee of the Optical Engineering Society of China. His main research interests are in the field of optoelectronic detection and instrumentation, computational imaging technology, and high-speed image/video processing technology. At present, he has been awarded two second prizes of Provincial Natural Science Award (ranked 1 and 4), authorized more than 40 invention patents, and published more than 100 academic papers in SCI source journals.