We are recruiting research interns in reinforcement learning, federated learning, sparse learning, etc. Want to publish AI top conference papers but have no idea? Don't worry, welcome to join Huawei Noah's Ark Lab! I'd love your feedback!
Internship requirements: 1) PhD candidates in well-known universities; 2) Familiar with AI; 3) Internship duration greater than 6 months.
Internship advantage: We will provide detailed one-on-one mentoring and high salary.
Please email me your CV with the title "Internship Application - Name"
Xiaofeng Liu received his B.Eng. from Tianjin University, Tianjin, China, in 2018. From Dec. 2020 to Set. 2021, he was a member of the Huawei Noah's Ark Lab for Advanced Study. He is currently working toward the Ph.D. degree in information and communication engineering with the School of Electrical and Information Engineering, Tianjin University, Tianjin, China. His research interests include federated learning, model compression, and intelligent signal processing.
Haozhi Wang received the B.S. degree in electronic engineering from Tianjin university, Tianjin, China. He is currently pursuing the Ph.D. degree in the School of Information and Electronics, Tianjin university, Tianjin, China. His research interests include machine learning, reinforcement learning and wireless communications.
Yaoyu Zhang is current a PhD student in the Institute for Interdisciplinary Information Sciences at Tsinghua University. During the internship in Noah's Ark Lab, his research focused on continuous learning and federated learning. He received the undergraduate degree in Electronic Engineering from Tsinghua University in 2019.
Wenqian Li is current a PhD student in the Institution of Operation Research and Analytics (IORA) at National University of Singapore. Her research generally centers around federated learning and machine learning. Prior to NUS, she received the undergraduate degree in Management from Harbin Institute of Technology in 2020.
Didi Zhu received the B.S. degree in computer science with the highest honor from Beijing University of Chemical Technology, Beijing, China. She is currently pursuing the Ph.D. degree in the School of Computer and Science, Zhejiang university, Hangzhou, China. Her research interests include domain adaptation, federated learning.
Shuang Luo is currently a PhD student at Zhejiang University. Her research interests include multi-agent learning, reinforcement learning, and social simulation.