Scholar
Dezhong Yao
Google Scholar ID: SFBHGr0AAAAJ
Huazhong University of Science and Technology
Citations & Impact
Citations
1,027
H-index
15
i10-index
20
Publications
20
Co-authors
5
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published numerous papers, including 'AdapCP: Collaborative Inference with Adaptive CNN Partition on Distributed Edge Servers', 'FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization', among others, covering areas such as adaptive CNN partition collaborative inference, efficient federated learning for heterogeneous models, etc.
Research Experience
- Was a visiting student at Carnegie Mellon University from 2010 to 2012; before joining HUST in 2019, he was a research fellow at Nanyang Technological University; now serving as an associate professor at HUST.
Education
- Obtained his BS in computer science from HUST in 2006 and his Ph.D. in the same field from HUST in 2016.
Background
- Currently an associate professor at the School of Computer Science and Technology, Huazhong University of Science and Technology (HUST), and a member of the National Engineering Research Center for Big Data Technology and System at HUST. His research interests include distributed machine learning, federated learning, and distributed optimization systems in ubiquitous environments. Specific topics cover edge intelligence, edge container & edge native, and distributed machine learning and systems.
Miscellany
- Open for research positions (including PhD students) on machine learning systems and optimization. Interested candidates are encouraged to send an email.
