Wei Zhu

According to our database, Wei Zhu authored at least 23 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Unsupervised anomaly detection by densely contrastive learning for time series data.

Wei Zhu, Weijian Li, Earl Ray Dorsey, Jiebo Luo

Neural Networks, November, 2023

SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification.

Wei Zhu, Runtao Zhou, Yao Yuan, Timothy Campbell, Rajat Kumar Jain, Jiebo Luo

CoRR, 2023

SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification.

Wei Zhu, Runtao Zhou, Yuan Yao, Timothy Douglas Campbell, Rajat Kumar Jain, Jiebo Luo

Proceedings of the Medical Imaging with Deep Learning, 2023

Remote Medication Status Prediction for Individuals with Parkinson's Disease using Time-series Data from Smartphones.

Weijian Li, Wei Zhu, Earl Ray Dorsey, Jiebo Luo

Proceedings of the IEEE International Conference on Digital Health, 2023

2022

Unsupervised Large Graph Embedding Based on Balanced and Hierarchical K-Means.

Feiping Nie, Wei Zhu, Xuelong Li

IEEE Trans. Knowl. Data Eng., 2022

Federated learning of molecular properties with graph neural networks in a heterogeneous setting.

Wei Zhu, Jiebo Luo, Andrew D. White

Patterns, 2022

Federated Medical Image Analysis with Virtual Sample Synthesis.

Wei Zhu, Jiebo Luo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis.

Wei Zhu, Zihe Zheng, Haitian Zheng, Hanjia Lyu, Jiebo Luo

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Localized Adversarial Domain Generalization.

Wei Zhu, Le Lu, Jing Xiao, Mei Han, Jiebo Luo, Adam P. Harrison

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep Federated Anomaly Detection for Multivariate Time Series Data.

Wei Zhu, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong, Takehiko Mizoguchi, Cristian Lumezanu, Haifeng Chen, Jiebo Luo

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Structured Graph Optimization for Unsupervised Feature Selection.

Feiping Nie, Wei Zhu, Xuelong Li

IEEE Trans. Knowl. Data Eng., 2021

Temperature network for few-shot learning with distribution-aware large-margin metric.

Wei Zhu, Wenbin Li, Haofu Liao, Jiebo Luo

Pattern Recognit., 2021

Federated Learning of Molecular Properties in a Heterogeneous Setting.

Wei Zhu, Andrew D. White, Jiebo Luo

CoRR, 2021

Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization.

Wei Zhu, Haitian Zheng, Haofu Liao, Weijian Li, Jiebo Luo

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Personalized Fashion Recommendation from Personal Social Media Data: An Item-to-Set Metric Learning Approach.

Haitian Zheng, Kefei Wu, Jong-Hwi Park, Wei Zhu, Jiebo Luo

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Decision Tree SVM: An extension of linear SVM for non-linear classification.

Feiping Nie, Wei Zhu, Xuelong Li

Neurocomputing, 2020

Unifying Specialist Image Embedding into Universal Image Embedding.

Yang Feng, Futang Peng, Xu Zhang, Wei Zhu, Shanfeng Zhang, Howard Zhou, Zhen Li, Tom Duerig, Shih-Fu Chang, Jiebo Luo

CoRR, 2020

Alleviating the Incompatibility Between Cross Entropy Loss and Episode Training for Few-Shot Skin Disease Classification.

Wei Zhu, Haofu Liao, Wenbin Li, Weijian Li, Jiebo Luo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Modeling Heterogeneity in Feature Selection for MCI Classification.

Wei Zhu, Feng Shi, Jiebo Luo

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data.

Weijian Li, Wei Zhu, Earl Ray Dorsey, Jiebo Luo

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2017

Fast Spectral Clustering with efficient large graph construction.

Wei Zhu, Feiping Nie, Xuelong Li

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Unsupervised Large Graph Embedding.

Feiping Nie, Wei Zhu, Xuelong Li

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Unsupervised Feature Selection with Structured Graph Optimization.

Feiping Nie, Wei Zhu, Xuelong Li

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016