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.
一、会议信息
会议简称：ICFEEIE 2025
会议全称：第二届电子电气与信息工程前沿国际会议（The 2nd International Conference on the Frontiers of Electronic, Electrical and Information Engineering）
大会官网: http://www.icfeeie.org
官方邮箱：[email protected]
会议地点：中国·宜宾
会议时间：2025年6月13日-15日
截稿时间：2025年4月14日
出版检索：IEEE出版，提交EI&Scopus数据库
主办单位：宜宾学院
协办单位：湖南文理学院、ESBK国际交流中心、AC学术中心
二、征稿主题
集中但不限于"电子电气与信息工程"等其他相关主题。
电子、电气工程：
电路与电子学、智能芯片、半导体器件、数字信号处理、遥感，雷达和传感、射频技术、微电子技术与电子信息、电子工程中的计算智能、电力领域的数据科学技术、智能电力设备、智能电网的信息与通信技术、电力系统信息安全
信息工程：
信息检索与信息安全、通信技术、信息光学、信息与通信工程、知识发现与数据挖掘、图像处理与采集、语义网格与自然语言处理、神经网络和遗传算法、数字图像的传输、人工智能、计算机与信息科学、计算机建模与仿真技术、计算机辅助设计、测控技术、密码学和信息安全
三、往届已检索
