An Object-Oriented Method for Extracting Single-Object Aquaculture Ponds from 10 m Resolution Sentinel-2 Images on Google Earth Engine von Li, Boyi, Gong, Adu, Chen, Zikun, Pan, Xiang, Li, Lingling, Li, Jinglin, Bao, Wenxuan

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Mapping Population Distribution with High Spatiotemporal Resolution in Beijing Using Baidu Heat Map Data von Bao, Wenxuan, Gong, Adu, Zhang, Tong, Zhao, Yiran, Li, Boyi, Chen, Shuaiqiang

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High-Precision Population Spatialization in Metropolises Based on Ensemble Learning: A Case Study of Beijing, China von Bao, Wenxuan, Gong, Adu, Zhao, Yiran, Chen, Shuaiqiang, Ba, Wanru, He, Yuan

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A Zoning Earthquake Casualty Prediction Model Based on Machine Learning von Li, Boyi, Gong, Adu, Zeng, Tingting, Bao, Wenxuan, Xu, Can, Huang, Zhiqing

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Urban Tree Canopy Mapping Based on Double-Branch Convolutional Neural Network and Multi-Temporal High Spatial Resolution Satellite Imagery von Chen, Shuaiqiang, Chen, Meng, Zhao, Bingyu, Mao, Ting, Wu, Jianjun, Bao, Wenxuan

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Electrokinetic and permeation characterization of hydrolyzed polyacrylonitrile (PAN) hollow fiber ultrafiltration membrane von Bao, WenXuan, Xu, ZhenLiang, Yang, Hu

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A peer-to-peer file storage and sharing system based on consortium blockchain von Peng, Shaoliang, Bao, Wenxuan, Liu, Hao, Xiao, Xia, Shang, Jiandong, Han, Lin, Wang, Shan, Xie, Xiaolan, Xu, Yang

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Ask, and it shall be given: Turing completeness of prompting von Qiu, Ruizhong, Xu, Zhe, Bao, Wenxuan, Tong, Hanghang

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AdaRC: Mitigating Graph Structure Shifts during Test-Time von Bao, Wenxuan, Zeng, Zhichen, Liu, Zhining, Tong, Hanghang, He, Jingrui

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BOBA: Byzantine-Robust Federated Learning with Label Skewness von Bao, Wenxuan, Wu, Jun, He, Jingrui

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On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning von Bao, Wenxuan, Bauer, Luke A, Bindschaedler, Vincent

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DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning von Bao, Wenxuan, Pittaluga, Francesco, G, Vijay Kumar B, Bindschaedler, Vincent

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Adaptive Test-Time Personalization for Federated Learning von Bao, Wenxuan, Wei, Tianxin, Wang, Haohan, He, Jingrui

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Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey von Fu, Dongqi, Bao, Wenxuan, Maciejewski, Ross, Tong, Hanghang, He, Jingrui

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Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey von Fu, Dongqi, Bao, Wenxuan, Maciejewski, Ross, Tong, Hanghang, He, Jingrui

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Optimizing the Collaboration Structure in Cross-Silo Federated Learning von Bao, Wenxuan, Wang, Haohan, Wu, Jun, He, Jingrui

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Understanding the Effect of Data Augmentation on Knowledge Distillation von Wang, Ziqi, Han, Chi, Bao, Wenxuan, Ji, Heng

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FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning von Tamirisa, Rishub, Xie, Chulin, Bao, Wenxuan, Zhou, Andy, Arel, Ron, Shamsian, Aviv

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BOBA: Byzantine-Robust Federated Learning with Label Skewness von Bao, Wenxuan, Wu, Jun, He, Jingrui

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Ask, and it shall be given: Turing completeness of prompting von Qiu, Ruizhong, Xu, Zhe, Bao, Wenxuan, Tong, Hanghang

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