25 citations · 30 across the 5 of their papers we have counts for
5 papers
Privacy-preserving Cloud-based DNN Inference
Shangyu Xie, Bingyu Liu, Yuan Hong
Deep learning as a service (DLaaS) has been intensively studied to facilitate the wider deployment of the emerging deep learning applications. However, DLaaS may compromise the pri…
Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation
Bingyu Liu, Yuhong Guo, Jieping Ye +1
Recent domain adaptation methods have demonstrated impressive improvement on unsupervised domain adaptation problems. However, in the semi-supervised domain adaptation (SSDA) setti…
Ensemble Model with Batch Spectral Regularization and Data Blending for Cross-Domain Few-Shot Learning with Unlabeled Data
Zhen Zhao, Bingyu Liu, Yuhong Guo +1
In this paper, we present our proposed ensemble model with batch spectral regularization and data blending mechanisms for the Track 2 problem of the cross-domain few-shot learning…
Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification
Bingyu Liu, Zhen Zhao, Zhenpeng Li +3
In this paper, we propose a feature transformation ensemble model with batch spectral regularization for the Cross-domain few-shot learning (CD-FSL) challenge. Specifically, we pro…
Privacy Preserving and Collusion Resistant Energy Sharing
Yuan Hong, Han Wang, Shangyu Xie +1
Energy has been increasingly generated or collected by different entities on the power grid (e.g., universities, hospitals and householdes) via solar panels, wind turbines or local…