ICFEEIE 2025 WS4:计算机视觉和自然语言处理中的深度学习模型和算法

WS4 Title: Deep Learning Models and Algorithms in Computer Vision and Natural Language Processing

Summary: Recently, deep learning models and algorithms have become hot topics and could effectively deal with a wide range of real applications, such as computer vision and natural language processing. We believe this trend will continue in the future. Thus, this workshop aims to promote discussions among researchers investigating innovative deep learning technologies from perspectives of fundamental models and algorithms in computer vision and natural language processing. Furthermore, researchers from multiple disciplines including artificial intelligence and mathematics fields are encouraged to join the workshop to discuss the challenging problems and future research directions.

Keywords: Machine learning, deep learning, hyperspectral images, model-driven and data-driven algorithms, videos and medical images

Chair 1

Jinshan Zeng, Jiangxi Normal University, China

Jinshan Zeng is currently a Professor with the School of Computer and Information Engineering, and serves as the associated dean of this school and the director of Jiangxi Provincial Key Laboratory for High Performance Computing. He has authored more than 70 papers in high-impact journals and conferences such as IEEE TPAMI, JMLR, IEEE TSP/TKDE, ICML and AAAI. He has coauthored two papers with collaborators that received the International Consortium of Chinese Mathematicians (ICCM) Best Paper Award in 2018 and 2020). He was twice invited as the Fourty-Five Speakers in ICCM. His current research interests include machine learning (in particular deep learning), computer vision, and natural language processing.

Chair 2

Sumei Li, Tianjin University, China

Dr. Li Sumei received her PHD degree from Nankai University, China, in school of information engineering. She is currently an associate professor at the school of electrical and information engineering , Tianjin University, China. Her research interests are in the areas of (3D) image/video quality assessment and super resolution, object detection, image segmentation, multimedia communication. Her team have produced more than one hundred publications in well-known international journals and conferences. She chaired some conferences. She is a volunteer reviewer with different peer-review outstanding journals.