Scholar
Weiming Zhuang
Google Scholar ID: lLuLAzEAAAAJ
Sony AI
Citations & Impact
Citations
1,055
H-index
14
i10-index
18
Publications
20
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- June 2025: Sony Outstanding Engineer Award; June 2025: One paper accepted by ICCV'25; May 2025: One paper accepted by ICML'25; February 2025: Two papers accepted by CVPR'25; August 2024: Best Paper Award at FL@FM-IJCAI'24; July 2024: One paper accepted by ECCV'24; April 2024: One paper accepted by ICML'24 and one by ICS'24; January 2024: One paper accepted by CVPR'24 and one by ICLR'24; December 2023: One paper accepted by AAAI'24; September 2023: One paper accepted by NeurIPS'23; July 2023: Two papers accepted by ICCV'23, one on federated multiple-task learning and another on federate continual learning; July 2023: Best Industry Paper Award at FL4Data-Mining’ KDD23; February 2022: One paper accepted by ICLR'22; January 2022: One paper published by IEEE Internet of Things Journal; July 2021: One paper accepted by ICCV'21 and one by ACMMM'21.
Research Experience
- Before joining Sony AI, he was an algorithm researcher at SenseTime. Prior to that, he gained several years of experience in software engineering, focusing on building large-scale distributed systems.
Education
- Ph.D. from Nanyang Technological University (2019-2022), advised by Prof. Yonggang Wen; BSc(Hons) in Information System from National University of Singapore (2013-2016).
Background
- A senior research scientist at Sony AI, focusing on multimodal foundation model and federated learning. As one of the technical leads, he collaborates with a global team to drive key projects forward and works with business units, including Sony Semiconductor Solutions, to translate AI research into products.
Miscellany
- Interests include multimodal foundation model, vision foundation model, federated learning, machine learning system, and efficient on-device ML.
