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2020 – today
- 2025
[c10]Ruizhong Qiu, Zhe Xu, Wenxuan Bao, Hanghang Tong:
Ask, and it shall be given: On the Turing completeness of prompting. ICLR 2025- [c9]Tianxin Wei
, Yifan Chen, Xinrui He, Wenxuan Bao, Jingrui He:
Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization. KDD (1) 2025: 1563-1574 - [i12]Luke A. Bauer, Wenxuan Bao, Vincent Bindschaedler:
Provably Secure Covert Messaging Using Image-based Diffusion Processes. CoRR abs/2503.10063 (2025) - 2024
- [c8]Wenxuan Bao, Vincent Bindschaedler:
R+R: Towards Reliable and Generalizable Differentially Private Machine Learning. ACSAC 2024: 666-682 - [c7]Wenxuan Bao, Jun Wu, Jingrui He:
BOBA: Byzantine-Robust Federated Learning with Label Skewness. AISTATS 2024: 892-900 - [c6]Rishub Tamirisa, Chulin Xie, Wenxuan Bao, Andy Zhou, Ron Arel, Aviv Shamsian:
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning. CVPR 2024: 23985-23994 - [i11]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 abs/2404.02478 (2024) - [i10]Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He:
AdaRC: Mitigating Graph Structure Shifts during Test-Time. CoRR abs/2410.06976 (2024) - [i9]Ruizhong Qiu, Zhe Xu, Wenxuan Bao, Hanghang Tong:
Ask, and it shall be given: Turing completeness of prompting. CoRR abs/2411.01992 (2024) - 2023
- [j7]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: 197-204 (2023) - [j6]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): 458 (2023) - [j5]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): 765 (2023) - [j4]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): 856 (2023) - [j3]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): 54-72 (2023) - [c5]Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He:
Optimizing the Collaboration Structure in Cross-Silo Federated Learning. ICML 2023: 1718-1736 - [c4]Jun Wu, Wenxuan Bao, Elizabeth A. Ainsworth, Jingrui He:
Personalized Federated Learning with Parameter Propagation. KDD 2023: 2594-2605 - [c3]Wenxuan Bao, Francesco Pittaluga, Vijay Kumar B. G, Vincent Bindschaedler:
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning. NeurIPS 2023 - [c2]Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He:
Adaptive Test-Time Personalization for Federated Learning. NeurIPS 2023 - [i8]Ziqi Wang, Chi Han, Wenxuan Bao, Heng Ji:
Understanding the Effect of Data Augmentation on Knowledge Distillation. CoRR abs/2305.12565 (2023) - [i7]Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He:
Optimizing the Collaboration Structure in Cross-Silo Federated Learning. CoRR abs/2306.06508 (2023) - [i6]Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He:
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey. CoRR abs/2307.04338 (2023) - [i5]Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He:
Adaptive Test-Time Personalization for Federated Learning. CoRR abs/2310.18816 (2023) - [i4]Wenxuan Bao, Francesco Pittaluga, Vijay Kumar B. G, Vincent Bindschaedler:
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning. CoRR abs/2311.01295 (2023) - 2022
- [j2]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): 30 (2022) - [j1]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): 3654 (2022) - [i3]Wenxuan Bao, Luke A. Bauer, Vincent Bindschaedler:
On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning. CoRR abs/2205.06720 (2022) - [i2]Wenxuan Bao, Jingrui He:
BOBA: Byzantine-Robust Federated Learning with Label Skewness. CoRR abs/2208.12932 (2022) - 2020
- [c1]Zhiheng Li, Wenxuan Bao, Jiayang Zheng, Chenliang Xu:
Deep Grouping Model for Unified Perceptual Parsing. CVPR 2020: 4052-4062 - [i1]Zhiheng Li, Wenxuan Bao, Jiayang Zheng, Chenliang Xu:
Deep Grouping Model for Unified Perceptual Parsing. CoRR abs/2003.11647 (2020)
Coauthor Index
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