1k citations · 1.3k across the 10 of their papers we have counts for
10 papers
Personalized Federated Learning with Feature Alignment and Classifier Collaboration
Jian Xu, Xinyi Tong, Shao-Lun Huang
Data heterogeneity is one of the most challenging issues in federated learning, which motivates a variety of approaches to learn personalized models for participating clients. One…
Anomalous Nernst effect in a ferrimagnetic nodal-line semiconductor MnSiTe
Chen Ran, Xinrun Mi, Junying Shen +12
In the ferrimagnetic nodal-line semiconductor MnSiTe, colossal magnetoresistance (CMR) arises below K due to the interplay of magnetism and topologica…
Optimal- difference sequence in nonparametric regression
Wenlin Dai, Xingwei Tong, Tiejun Tong
Difference-based methods have been attracting increasing attention in nonparametric regression, in particular for estimating the residual variance.To implement the estimation, one…
Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite Imagery
Xin-Yi Tong, Gui-Song Xia, Xiao Xiang Zhu
High-resolution satellite images can provide abundant, detailed spatial information for land cover classification, which is particularly important for studying the complicated buil…
An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication
Xinyi Tong, Jian Xu, Shao-Lun Huang
In this paper, we study the information transmission problem under the distributed learning framework, where each worker node is merely permitted to transmit a -dimensional stat…
Hidden Path Selection Network for Semantic Segmentation of Remote Sensing Images
Kunping Yang, Xin-Yi Tong, Gui-Song Xia +2
Targeting at depicting land covers with pixel-wise semantic categories, semantic segmentation in remote sensing images needs to portray diverse distributions over vast geographical…
Input Perturbation: A New Paradigm between Central and Local Differential Privacy
Yilin Kang, Yong Liu, Ben Niu +3
Traditionally, there are two models on differential privacy: the central model and the local model. The central model focuses on the machine learning model and the local model focu…
Land-Cover Classification with High-Resolution Remote Sensing Images Using Transferable Deep Models
Xin-Yi Tong, Gui-Song Xia, Qikai Lu +4
In recent years, large amount of high spatial-resolution remote sensing (HRRS) images are available for land-cover mapping. However, due to the complex information brought by the i…
Large-scale Land Cover Classification in GaoFen-2 Satellite Imagery
Xin-Yi Tong, Qikai Lu, Gui-Song Xia +1
Many significant applications need land cover information of remote sensing images that are acquired from different areas and times, such as change detection and disaster monitorin…
Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation
Xin-Yi Tong, Gui-Song Xia, Fan Hu +3
Remote sensing (RS) image retrieval is of great significant for geological information mining. Over the past two decades, a large amount of research on this task has been carried o…