Prof. Yue Huang, Xiamen University, China
Yue Huang, is a full professor at the School of Information, Xiamen University. She also served as the vice director of the Department of Information and Communication Engineering. She received a doctorate in engineering from Tsinghua University and a bachelor's degree in engineering from Xiamen University. Her research interests include machine learning theory and its application in biomedical image and radar signal analysis. She is the primary investigator many National Natural Science Foundation of China. He won the China Computer Federation-Tencent Rhino-Bird Fund twice (11% selection rate) and won an Outstanding Achievement Award. As one of the main contributors, she won the third prize of the Wu Wenjun Artificial Intelligence Natural Science Award in 2019, the third prize of the Fujian Provincial Science and Technology Progress Award in 2017 and the third prize of the Fujian Provincial Natural Science Award in 2020. She has published many papers in important journal conferences including IEEE Transactions, CVPR/ICCV/ECCV/ICASSP and other fields. She served as the associate editor of IEEE Trans. Neural Networks and Learning Systems. She is the organizing committee member of the IEEE MMSP2015, IEEE ISIMCT 2021, and IEEE ICCC 2021.
黄悦，厦门大学信息学院教授，博士生导师，信息与通信工程系副主任，分获清华大学工学博士学位和厦门大学工学学士学位。研究兴趣是机器学习理论及其在生物医学图像、雷达信号分析中的应用。主持国自然科学基金重点项目子课题、面上及青年项目，以及教育部省级等纵向项目多项，两次获得中国计算机学会-腾讯犀牛鸟基金(11%入选率)并获得一次优秀成果奖，主持中电14所、腾讯公司以及其他企事业单位委托的横向项目多项。作为主要完成人之一2019年获得吴文俊人工智能自然科学三等奖，作为主要完成人之一获得2017年福建省科技进步三等奖、2020年福建省自然科学三等奖。在包括IEEE汇刊、CVPR/ICCV/ECCV/ICASSP等领域重要期刊会议上发表论文多篇。担任IEEE Trans. Neural Networks and Learning Systems副主编，担任多个IEEE汇刊、CVPR/ICCV/ECCV/Neurips/ICML等CCF A类会议的审稿人，是IEEE MMSP2015、IEEE ISIMCT 2021、IEEE ICCC 2021组委会成员。