ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services · 2024
Cited
3
Resume (English only)
Academic Achievements
Published 8 papers in peer-reviewed conferences and journals, including NeurIPS, CVPR Workshop, ICML Workshop, IEEE Access, MobiSys, CoNEXT Workshop, and EWSN Workshop. Featured publication: HydraViT: Stacking Heads for a Scalable ViT, a novel approach to scaling Vision Transformers (ViTs) by stacking multiple attention heads.
Research Experience
Has 4 years of experience, primarily focusing on the design of efficient deep learning methods.
Education
PhD student in Computer Science at Kiel University
Background
Research interests include the design of efficient deep learning methods in resource-constrained environments, spanning Edge AI, dynamic vision transformers, federated learning, and progressive image compression. Passionate about advancing machine learning technologies and collaborating on impactful projects.