Wenxuan Bao

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 22

Top Topics

Multiple Versions

Empirically Derived

High Spatial Resolution

Differentially Private

Top Venues

Publications

Rishub Tamirisa, Chulin Xie, Wenxuan Bao, Andy Zhou, Ron Arel, Aviv Shamsian
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning. CoRR (2024)
Wenxuan Bao, Jun Wu, Jingrui He
BOBA: Byzantine-Robust Federated Learning with Label Skewness. AISTATS (2024)
Shaoliang Peng, Wenxuan Bao, Hao Liu, Xia Xiao, Jiandong Shang, Lin Han, Shan Wang, Xiaolan Xie, Yang Xu
A peer-to-peer file storage and sharing system based on consortium blockchain. Future Gener. Comput. Syst. 141 (2023)
Wenxuan Bao, Adu Gong, Tong Zhang, Yiran Zhao, Boyi Li, Shuaiqiang Chen
Mapping Population Distribution with High Spatiotemporal Resolution in Beijing Using Baidu Heat Map Data. Remote. Sens. 15 (2) (2023)
Wenxuan Bao, Francesco Pittaluga, Vijay Kumar B. G, Vincent Bindschaedler
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning. NeurIPS (2023)
Jun Wu, Wenxuan Bao, Elizabeth A. Ainsworth, Jingrui He
Personalized Federated Learning with Parameter Propagation. KDD (2023)
Shuaiqiang Chen, Meng Chen, Bingyu Zhao, Ting Mao, Jianjun Wu, Wenxuan Bao
Urban Tree Canopy Mapping Based on Double-Branch Convolutional Neural Network and Multi-Temporal High Spatial Resolution Satellite Imagery. Remote. Sens. 15 (3) (2023)
Ziqi Wang, Chi Han, Wenxuan Bao, Heng Ji
Understanding the Effect of Data Augmentation on Knowledge Distillation. CoRR (2023)
Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He
Optimizing the Collaboration Structure in Cross-Silo Federated Learning. ICML (2023)
Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He
Adaptive Test-Time Personalization for Federated Learning. CoRR (2023)
Wenxuan Bao, Francesco Pittaluga, Vijay Kumar B. G, Vincent Bindschaedler
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning. CoRR (2023)
Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey. SIGKDD Explor. 25 (1) (2023)
Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He
Adaptive Test-Time Personalization for Federated Learning. NeurIPS (2023)
Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey. CoRR (2023)
Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He
Optimizing the Collaboration Structure in Cross-Silo Federated Learning. CoRR (2023)
Boyi Li, Adu Gong, Zikun Chen, Xiang Pan, Lingling Li, Jinglin Li, Wenxuan Bao
An Object-Oriented Method for Extracting Single-Object Aquaculture Ponds from 10 m Resolution Sentinel-2 Images on Google Earth Engine. Remote. Sens. 15 (3) (2023)
Boyi Li, Adu Gong, Tingting Zeng, Wenxuan Bao, Can Xu, Zhiqing Huang
A Zoning Earthquake Casualty Prediction Model Based on Machine Learning. Remote. Sens. 14 (1) (2022)
Wenxuan Bao, Luke A. Bauer, Vincent Bindschaedler
On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning. CoRR (2022)
Wenxuan Bao, Adu Gong, Yiran Zhao, Shuaiqiang Chen, Wanru Ba, Yuan He
High-Precision Population Spatialization in Metropolises Based on Ensemble Learning: A Case Study of Beijing, China. Remote. Sens. 14 (15) (2022)
Wenxuan Bao, Jingrui He
BOBA: Byzantine-Robust Federated Learning with Label Skewness. CoRR (2022)
Zhiheng Li, Wenxuan Bao, Jiayang Zheng, Chenliang Xu
Deep Grouping Model for Unified Perceptual Parsing. CVPR (2020)
Zhiheng Li, Wenxuan Bao, Jiayang Zheng, Chenliang Xu
Deep Grouping Model for Unified Perceptual Parsing. CoRR (2020)