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Wei Zhu
Wei Zhu
Applied Scientist, Amazon
Dirección de correo verificada de amazon.com - Página principal
Título
Citado por
Citado por
Año
Unsupervised Feature Selection with Structured Graph Optimization
XL Feiping Nie, Wei Zhu
AAAI Conf. on Artificial Intelligence, 2016
3022016
Unsupervised large graph embedding
F Nie, W Zhu, X Li
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
1532017
Structured graph optimization for unsupervised feature selection
F Nie, W Zhu, X Li
IEEE Transactions on Knowledge and Data Engineering 33 (3), 1210-1222, 2019
732019
Fast spectral clustering with efficient large graph construction
W Zhu, F Nie, X Li
2017 IEEE international conference on acoustics, speech and signal …, 2017
712017
Decision Tree SVM: An Extension of Linear SVM for Non-linear Classification
F Nie, W Zhu, X Li
Neurocomputing, 2019
492019
Learning bias-invariant representation by cross-sample mutual information minimization
W Zhu, H Zheng, H Liao, W Li, J Luo
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
342021
Personalized fashion recommendation from personal social media data: An item-to-set metric learning approach
H Zheng, K Wu, JH Park, W Zhu, J Luo
2021 IEEE International Conference on Big Data (Big Data), 5014-5023, 2021
292021
Unsupervised Large Graph Embedding Based on Balanced and Hierarchical K-means
F Nie, W Zhu, X Li
TKDE, 2020
292020
Temperature network for few-shot learning with distribution-aware large-margin metric
W Zhu, W Li, H Liao, J Luo
Pattern Recognition 112, 2021
282021
Localized adversarial domain generalization
W Zhu, L Lu, J Xiao, M Han, J Luo, AP Harrison
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
232022
Federated Learning of Molecular Properties with Graph Neural Networks in a Heterogeneous Setting
W Zhu, A White, J Luo
arXiv preprint arXiv:2109.07258, 2021
212021
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification
W Zhu, H Liao, W Li, W Li, J Luo
MICCAI, 2020
212020
Federated medical image analysis with virtual sample synthesis
W Zhu, J Luo
International Conference on Medical Image Computing and Computer-Assisted …, 2022
92022
Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data
W Li, W Zhu, ER Dorsey, J Luo
2020 IEEE International Conference on Data Mining (ICDM), 1106-1111, 2020
72020
Deep federated anomaly detection for multivariate time series data
W Zhu, D Song, Y Chen, W Cheng, B Zong, T Mizoguchi, C Lumezanu, ...
2022 IEEE International Conference on Big Data (Big Data), 1-10, 2022
42022
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification
W Zhu, R Zhou, Y Yao, TD Campbell, RK Jain, J Luo
Medical Imaging with Deep Learning, 1680-1690, 2024
32024
Unifying Specialist Image Embedding into Universal Image Embedding
Y Feng, F Peng, X Zhang, W Zhu, S Zhang, H Zhou, Z Li, T Duerig, ...
arXiv preprint arXiv:2003.03701, 2020
32020
Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis
W Zhu, Z Zheng, H Zheng, H Lyu, J Luo
2022 26th International Conference on Pattern Recognition (ICPR), 571-577, 2022
12022
Unsupervised anomaly detection by densely contrastive learning for time series data
W Zhu, W Li, ER Dorsey, J Luo
Neural Networks 168, 450-458, 2023
2023
Remote Medication Status Prediction for Individuals with Parkinson’s Disease using Time-series Data from Smartphones
W Li, W Zhu, ER Dorsey, J Luo
2023 IEEE International Conference on Digital Health (ICDH), 57-64, 2023
2023
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Artículos 1–20