31 citations · 74 across the 13 of their papers we have counts for
5 papers · 1 filter
Rethinking Importance Weighting for Transfer Learning
Nan Lu, Tianyi Zhang, Tongtong Fang +2
A key assumption in supervised learning is that training and test data follow the same probability distribution. However, this fundamental assumption is not always satisfied in pra…
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records
Tianyi Zhang, Shirui Zhang, Ziwei Chen +1
Federated machine learning is a versatile and flexible tool to utilize distributed data from different sources, especially when communication technology develops rapidly and an unp…
When Cyber-Physical Systems Meet AI: A Benchmark, an Evaluation, and a Way Forward
Jiayang Song, Deyun Lyu, Zhenya Zhang +3
Cyber-physical systems (CPS) have been broadly deployed in safety-critical domains, such as automotive systems, avionics, medical devices, etc. In recent years, Artificial Intellig…
Learning Cross-Scale Visual Representations for Real-Time Image Geo-Localization
Tianyi Zhang, Matthew Johnson-Roberson
Robot localization remains a challenging task in GPS denied environments. State estimation approaches based on local sensors, e.g. cameras or IMUs, are drifting-prone for long-rang…
Learning to Stop with Surprisingly Few Samples
Daniel Russo, Assaf Zeevi, Tianyi Zhang
We consider a discounted infinite horizon optimal stopping problem. If the underlying distribution is known a priori, the solution of this problem is obtained via dynamic programmi…