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Wei Zhu
Wei Zhu
Applied Scientist, Amazon
Verified email at amazon.com - Homepage
Title
Cited by
Cited by
Year
Unsupervised Feature Selection with Structured Graph Optimization
XL Feiping Nie, Wei Zhu
AAAI Conf. on Artificial Intelligence, 2016
3132016
Unsupervised large graph embedding
F Nie, W Zhu, X Li
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
1602017
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
822019
Fast spectral clustering with efficient large graph construction
W Zhu, F Nie, X Li
2017 IEEE international conference on acoustics, speech and signal …, 2017
762017
Decision Tree SVM: An Extension of Linear SVM for Non-linear Classification
F Nie, W Zhu, X Li
Neurocomputing, 2019
572019
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
362021
Temperature network for few-shot learning with distribution-aware large-margin metric
W Zhu, W Li, H Liao, J Luo
Pattern Recognition 112, 2021
332021
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
302021
Unsupervised Large Graph Embedding Based on Balanced and Hierarchical K-means
F Nie, W Zhu, X Li
TKDE, 2020
292020
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
262021
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
252022
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
242020
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
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
42024
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
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
42020
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
Federated learning for anomaly detection
D Song, Y Chen, C Lumezanu, T Mizoguchi, H Chen, W Zhu
US Patent App. 17/395,118, 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
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Articles 1–20