Wei Zhu

33 papers A* 5B 2Misc 1Journal 18Unranked 7
YearRankTypeTitle / Venue / Authors
2024 — conf
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation.
MICCAI (8)
Vince Zhu, Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Yingda Xia, Le Lu, Xianghua Ye, Wei Zhu, Dakai Jin
2024 J jnl
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation.
CoRR
Vince Zhu, Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Yingda Xia, Le Lu, Xianghua Ye, Wei Zhu, Dakai Jin
2023 — conf
Remote Medication Status Prediction for Individuals with Parkinson's Disease using Time-series Data from Smartphones.
ICDH
Weijian Li, Wei Zhu, Earl Ray Dorsey, Jiebo Luo
2023 — conf
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification.
MIDL
Wei Zhu, Runtao Zhou, Yuan Yao, Timothy Douglas Campbell, Rajat Kumar Jain, Jiebo Luo
2023 J jnl
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification.
CoRR
Wei Zhu, Runtao Zhou, Yao Yuan, Timothy Campbell, Rajat Kumar Jain, Jiebo Luo
2023 J jnl
Unsupervised anomaly detection by densely contrastive learning for time series data.
Neural Networks
Wei Zhu, Weijian Li, Earl Ray Dorsey, Jiebo Luo
2022 B conf
Deep Federated Anomaly Detection for Multivariate Time Series Data.
IEEE Big Data
Wei Zhu, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong, Takehiko Mizoguchi, Cristian Lumezanu, Haifeng Chen, Jiebo Luo
2022 J jnl
Deep Federated Anomaly Detection for Multivariate Time Series Data.
CoRR
Wei Zhu, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong, Takehiko Mizoguchi, Cristian Lumezanu, Haifeng Chen, Jiebo Luo
2022 — conf
Federated Medical Image Analysis with Virtual Sample Synthesis.
MICCAI (3)
Wei Zhu, Jiebo Luo
2022 J jnl
Federated learning of molecular properties with graph neural networks in a heterogeneous setting.
Patterns
Wei Zhu, Jiebo Luo, Andrew D. White
2022 B conf
Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis.
ICPR
Wei Zhu, Zihe Zheng, Haitian Zheng, Hanjia Lyu, Jiebo Luo
2022 A* conf
Localized Adversarial Domain Generalization.
CVPR
Wei Zhu, Le Lu, Jing Xiao, Mei Han, Jiebo Luo, Adam P. Harrison
2022 J jnl
Localized Adversarial Domain Generalization.
CoRR
Wei Zhu, Le Lu, Jing Xiao, Mei Han, Jiebo Luo, Adam P. Harrison
2022 J jnl
Remote Medication Status Prediction for Individuals with Parkinson's Disease using Time-series Data from Smartphones.
CoRR
Weijian Li, Wei Zhu, Earl Ray Dorsey, Jiebo Luo
2022 J jnl
Unsupervised Large Graph Embedding Based on Balanced and Hierarchical K-Means.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Wei Zhu, Xuelong Li
2021 J jnl
Federated Learning of Molecular Properties in a Heterogeneous Setting.
CoRR
Wei Zhu, Andrew D. White, Jiebo Luo
2021 A* conf
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization.
ICCV
Wei Zhu, Haitian Zheng, Haofu Liao, Weijian Li, Jiebo Luo
2021 J jnl
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization.
CoRR
Wei Zhu, Haitian Zheng, Haofu Liao, Weijian Li, Jiebo Luo
2021 J jnl
Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis.
CoRR
Wei Zhu, Zihe Zheng, Haitian Zheng, Hanjia Lyu, Jiebo Luo
2021 — conf
Personalized Fashion Recommendation from Personal Social Media Data: An Item-to-Set Metric Learning Approach.
IEEE BigData
Haitian Zheng, Kefei Wu, Jong-Hwi Park, Wei Zhu, Jiebo Luo
2021 J jnl
Structured Graph Optimization for Unsupervised Feature Selection.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Wei Zhu, Xuelong Li
2021 J jnl
Temperature network for few-shot learning with distribution-aware large-margin metric.
Pattern Recognit.
Wei Zhu, Wenbin Li, Haofu Liao, Jiebo Luo
2020 — conf
Alleviating the Incompatibility Between Cross Entropy Loss and Episode Training for Few-Shot Skin Disease Classification.
MICCAI (6)
Wei Zhu, Haofu Liao, Wenbin Li, Weijian Li, Jiebo Luo
2020 J jnl
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification.
CoRR
Wei Zhu, Haofu Liao, Wenbin Li, Weijian Li, Jiebo Luo
2020 J jnl
Decision Tree SVM: An extension of linear SVM for non-linear classification.
Neurocomputing
Feiping Nie, Wei Zhu, Xuelong Li
2020 — conf
Modeling Heterogeneity in Feature Selection for MCI Classification.
ISBI
Wei Zhu, Feng Shi, Jiebo Luo
2020 J jnl
Personalized Fashion Recommendation from Personal Social Media Data: An Item-to-Set Metric Learning Approach.
CoRR
Haitian Zheng, Kefei Wu, Jong-Hwi Park, Wei Zhu, Jiebo Luo
2020 A* conf
Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data.
ICDM
Weijian Li, Wei Zhu, Earl Ray Dorsey, Jiebo Luo
2020 J jnl
Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data.
CoRR
Weijian Li, Wei Zhu, Earl Ray Dorsey, Jiebo Luo
2020 J jnl
Unifying Specialist Image Embedding into Universal Image Embedding.
CoRR
Yang Feng, Futang Peng, Xu Zhang, Wei Zhu, Shanfeng Zhang, Howard Zhou, Zhen Li, Tom Duerig, Shih-Fu Chang, Jiebo Luo
2017 Misc conf
Fast Spectral Clustering with efficient large graph construction.
ICASSP
Wei Zhu, Feiping Nie, Xuelong Li
2017 A* conf
Unsupervised Large Graph Embedding.
AAAI
Feiping Nie, Wei Zhu, Xuelong Li
2016 A* conf
Unsupervised Feature Selection with Structured Graph Optimization.
AAAI
Feiping Nie, Wei Zhu, Xuelong Li