85 citations · 106 across the 6 of their papers we have counts for
6 papers
An Efficient and Robust System for Vertically Federated Random Forest
Houpu Yao, Jiazhou Wang, Peng Dai +2
As there is a growing interest in utilizing data across multiple resources to build better machine learning models, many vertically federated learning algorithms have been proposed…
Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform
Bo Liu, Chaowei Tan, Jiazhou Wang +7
In this paper, we present Fedlearn-Algo, an open-source privacy preserving machine learning platform. We use this platform to demonstrate our research and development results on pr…
FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical Response Prediction
Houpu Yao, Yi Gao, Yongming Liu
An innovative physics-guided learning algorithm for predicting the mechanical response of materials and structures is proposed in this paper. The key concept of the proposed study…
Image Decomposition and Classification through a Generative Model
Houpu Yao, Malcolm Regan, Yezhou Yang +1
We demonstrate in this paper that a generative model can be designed to perform classification tasks under challenging settings, including adversarial attacks and input distributio…
Low-cost Measurement of Industrial Shock Signals via Deep Learning Calibration
Houpu Yao, Jingjing Wen, Yi Ren +2
Special high-end sensors with expensive hardware are usually needed to measure shock signals with high accuracy. In this paper, we show that cheap low-end sensors calibrated by dee…
Augmenting Model Robustness with Transformation-Invariant Attacks
Houpu Yao, Zhe Wang, Guangyu Nie +3
The vulnerability of neural networks under adversarial attacks has raised serious concerns and motivated extensive research. It has been shown that both neural networks and adversa…