Wei Zhu

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 31

Top Topics

Feature Selection

Multivariate Time Series

Graph Embedding

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Wei Zhu, Runtao Zhou, Yuan Yao, Timothy Douglas Campbell, Rajat Kumar Jain, Jiebo Luo
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification. MIDL (2023)
Weijian Li, Wei Zhu, E. Ray Dorsey, Jiebo Luo
Remote Medication Status Prediction for Individuals with Parkinson's Disease using Time-series Data from Smartphones. ICDH (2023)
Wei Zhu, Weijian Li, E. Ray Dorsey, Jiebo Luo
Unsupervised anomaly detection by densely contrastive learning for time series data. Neural Networks 168 (2023)
Wei Zhu, Runtao Zhou, Yao Yuan, Campbell Timothy, Rajat Jain, Jiebo Luo
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification. CoRR (2023)
Wei Zhu, Zihe Zheng, Haitian Zheng, Hanjia Lyu, Jiebo Luo
Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis. ICPR (2022)
Wei Zhu, Jiebo Luo
Federated Medical Image Analysis with Virtual Sample Synthesis. MICCAI (3) (2022)
Feiping Nie, Wei Zhu, Xuelong Li
Unsupervised Large Graph Embedding Based on Balanced and Hierarchical K-Means. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Weijian Li, Wei Zhu, E. Ray Dorsey, Jiebo Luo
Remote Medication Status Prediction for Individuals with Parkinson's Disease using Time-series Data from Smartphones. CoRR (2022)
Wei Zhu, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong, Takehiko Mizoguchi, Cristian Lumezanu, Haifeng Chen, Jiebo Luo
Deep Federated Anomaly Detection for Multivariate Time Series Data. Big Data (2022)
Wei Zhu, Jiebo Luo, Andrew D. White
Federated learning of molecular properties with graph neural networks in a heterogeneous setting. Patterns 3 (6) (2022)
Wei Zhu, Le Lu, Jing Xiao, Mei Han, Jiebo Luo, Adam P. Harrison
Localized Adversarial Domain Generalization. CVPR (2022)
Wei Zhu, Le Lu, Jing Xiao, Mei Han, Jiebo Luo, Adam P. Harrison
Localized Adversarial Domain Generalization. CoRR (2022)
Wei Zhu, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong, Takehiko Mizoguchi, Cristian Lumezanu, Haifeng Chen, Jiebo Luo
Deep Federated Anomaly Detection for Multivariate Time Series Data. CoRR (2022)
Wei Zhu, Andrew White, Jiebo Luo
Federated Learning of Molecular Properties in a Heterogeneous Setting. CoRR (2021)
Feiping Nie, Wei Zhu, Xuelong Li
Structured Graph Optimization for Unsupervised Feature Selection. IEEE Trans. Knowl. Data Eng. 33 (3) (2021)
Wei Zhu, Haitian Zheng, Haofu Liao, Weijian Li, Jiebo Luo
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization. ICCV (2021)
Wei Zhu, Wenbin Li, Haofu Liao, Jiebo Luo
Temperature network for few-shot learning with distribution-aware large-margin metric. Pattern Recognit. 112 (2021)
Wei Zhu, Zihe Zheng, Haitian Zheng, Hanjia Lyu, Jiebo Luo
Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis. CoRR (2021)
Wei Zhu, Haitian Zheng, Haofu Liao, Weijian Li, Jiebo Luo
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization. CoRR (2021)
Haitian Zheng, Kefei Wu, Jong-Hwi Park, Wei Zhu, Jiebo Luo
Personalized Fashion Recommendation from Personal Social Media Data: An Item-to-Set Metric Learning Approach. IEEE BigData (2021)
Wei Zhu, Haofu Liao, Wenbin Li, Weijian Li, Jiebo Luo
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification. CoRR (2020)
Feiping Nie, Wei Zhu, Xuelong Li
Decision Tree SVM: An extension of linear SVM for non-linear classification. Neurocomputing 401 (2020)
Yang Feng, Futang Peng, Xu Zhang, Wei Zhu, Shanfeng Zhang, Howard Zhou, Zhen Li, Tom Duerig, Shih-Fu Chang, Jiebo Luo
Unifying Specialist Image Embedding into Universal Image Embedding. CoRR (2020)
Wei Zhu, Haofu Liao, Wenbin Li, Weijian Li, Jiebo Luo
Alleviating the Incompatibility Between Cross Entropy Loss and Episode Training for Few-Shot Skin Disease Classification. MICCAI (6) (2020)
Weijian Li, Wei Zhu, E. Ray Dorsey, Jiebo Luo
Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data. CoRR (2020)
Haitian Zheng, Kefei Wu, Jong-Hwi Park, Wei Zhu, Jiebo Luo
Personalized Fashion Recommendation from Personal Social Media Data: An Item-to-Set Metric Learning Approach. CoRR (2020)
Wei Zhu, Feng Shi, Jiebo Luo
Modeling Heterogeneity in Feature Selection for MCI Classification. ISBI (2020)
Weijian Li, Wei Zhu, E. Ray Dorsey, Jiebo Luo
Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data. ICDM (2020)
Wei Zhu, Feiping Nie, Xuelong Li
Fast Spectral Clustering with efficient large graph construction. ICASSP (2017)
Feiping Nie, Wei Zhu, Xuelong Li
Unsupervised Large Graph Embedding. AAAI (2017)
Feiping Nie, Wei Zhu, Xuelong Li
Unsupervised Feature Selection with Structured Graph Optimization. AAAI (2016)