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ORCIDWei Zhu 0015
Person information
- unicode name: 朱伟
- affiliation: University of Rochester, Department of Computer Science, NY, USA
- affiliation (former): Northwestern Polytechnical University, Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi'an, China
Other persons with the same name
- Wei Zhu — disambiguation page
- Wei Zhu 0001 — Iowa State University, Department of Zoology and Genetics, Ames, IA, USA
- Wei Zhu 0002 — University of Texas at Dallas, TX, USA
- Wei Zhu 0003
![[0000-0001-5352-0251]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5352-0251")
— University of Alabama, Department of Mathematics, Tuscaloosa, AL, USA - Wei Zhu 0004 — Chongqing University of Posts and Telecommunications, Research Center for System Theory and Application, China (and 3 more)
- Wei Zhu 0005 — Mississippi State University, Starkville, MS, USA
- Wei Zhu 0006 — Zhejiang University of Technology, College of Information Engineering, Hangzhou, China
- Wei Zhu 0007 — University of Massachusetts Amherst, Department of Mathematics and Statistics, MA, USA (and 2 more)
- Wei Zhu 0008 — Stony Brook University, Department of Applied Mathematics and Statistics, Stony Brook, NY, USA
- Wei Zhu 0009 — PPTV Inc., Shanghai, China
- Wei Zhu 0010 — University of Kentucky, USA
- Wei Zhu 0011 — Los Alamos National Laboratory, Los Alamos, New Mexico, USA
- Wei Zhu 0012 — Tsinghua University, Beijing, China
- Wei Zhu 0013 — Beijing Institute of Technology, Intelligent Robotics Institute, China
- Wei Zhu 0014 — La Trobe University, Melbourne, Australia
- Wei Zhu 0016 — East China Normal University, Shanghai, China (and 1 more)
- Wei Zhu 0017 — Tsinghua University, Institute of Microelectronics, Beijing, China
- Wei Zhu 0018 — University of Illinois at Urbana-Champaign, Department of Accountancy, Urbana, IL, USA
- Wei Zhu 0019 — Chang'an University, School of Water and Environment, Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Xi'an, China
- Wei Zhu 0020 — Central South University, School of Resources and Safety Engineering, Changsha, China
- Wei Zhu 0021 — Fudan University, State Key Laboratory of ASIC and System, Shanghai, China
- Wei Zhu 0022 — University of Padua, FISPPA Department, Padua, Italy (and 1 more)
- Wei Zhu 0023 — Lanzhou University, School of Economics, Lanzhou, China
- Wei Zhu 0024 — Shanghai Maritime University, School of Logistics Engineering, Shanghai, China
- Wei Zhu 0025 — Chang'an University, School of Electronic and Control Engineering, Xi'an, China (and 1 more)
- Wei Zhu 0026 — Tongji University, College of Transportation Engineering, Key Laboratory of Road and Traffic Engineering, Shanghai, China
- Wei Zhu 0027 — Northwest Institute of Nuclear Technology, Verification Laboratory, Xi'an, China
- Wei Zhu 0028 — Tohoku University, Graduate School of Engineering, Department of Robotics, Sendai, Japan (and 1 more)
- Wei Zhu 0029 — Nanjing University of Science and Technology, Institute of Launch Dynamics, Nanjing, China
- Wei Zhu 0030 — University of Electronic Science and Technology of China, School of Electronic Science and Engineering, Chengdu, China
- Wei Zhu 0031 — Xiangtan University, Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Xiangtan, China
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2020 – today
- 2023
[j6]Wei Zhu, Weijian Li, Earl Ray Dorsey, Jiebo Luo:
Unsupervised anomaly detection by densely contrastive learning for time series data. Neural Networks 168: 450-458 (2023)- [c14]Weijian Li, Wei Zhu, Earl Ray Dorsey, Jiebo Luo:
Remote Medication Status Prediction for Individuals with Parkinson's Disease using Time-series Data from Smartphones. ICDH 2023: 57-64 - [c13]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: 1680-1690 - [i11]Wei Zhu, Runtao Zhou, Yao Yuan, Timothy Campbell, Rajat Kumar Jain, Jiebo Luo:
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification. CoRR abs/2303.08303 (2023) - 2022
- [j5]Wei Zhu, Jiebo Luo, Andrew D. White:
Federated learning of molecular properties with graph neural networks in a heterogeneous setting. Patterns 3(6): 100521 (2022) - [j4]Feiping Nie, Wei Zhu, Xuelong Li:
Unsupervised Large Graph Embedding Based on Balanced and Hierarchical K-Means. IEEE Trans. Knowl. Data Eng. 34(4): 2008-2019 (2022) - [c12]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. IEEE Big Data 2022: 1-10 - [c11]Wei Zhu, Le Lu, Jing Xiao, Mei Han, Jiebo Luo, Adam P. Harrison:
Localized Adversarial Domain Generalization. CVPR 2022: 7098-7108 - [c10]Wei Zhu, Zihe Zheng, Haitian Zheng, Hanjia Lyu, Jiebo Luo:
Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis. ICPR 2022: 571-577 - [c9]Wei Zhu, Jiebo Luo:
Federated Medical Image Analysis with Virtual Sample Synthesis. MICCAI (3) 2022: 728-738 - [i10]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 abs/2205.04041 (2022) - [i9]Wei Zhu, Le Lu, Jing Xiao, Mei Han, Jiebo Luo, Adam P. Harrison:
Localized Adversarial Domain Generalization. CoRR abs/2205.04114 (2022) - [i8]Weijian Li, Wei Zhu, Earl Ray Dorsey, Jiebo Luo:
Remote Medication Status Prediction for Individuals with Parkinson's Disease using Time-series Data from Smartphones. CoRR abs/2207.13700 (2022) - 2021
- [j3]Wei Zhu, Wenbin Li, Haofu Liao, Jiebo Luo:
Temperature network for few-shot learning with distribution-aware large-margin metric. Pattern Recognit. 112: 107797 (2021) - [j2]Feiping Nie, Wei Zhu, Xuelong Li:
Structured Graph Optimization for Unsupervised Feature Selection. IEEE Trans. Knowl. Data Eng. 33(3): 1210-1222 (2021) - [c8]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: 5014-5023 - [c7]Wei Zhu, Haitian Zheng, Haofu Liao, Weijian Li, Jiebo Luo:
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization. ICCV 2021: 14982-14992 - [i7]Wei Zhu, Haitian Zheng, Haofu Liao, Weijian Li, Jiebo Luo:
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization. CoRR abs/2108.05449 (2021) - [i6]Wei Zhu, Andrew D. White, Jiebo Luo:
Federated Learning of Molecular Properties in a Heterogeneous Setting. CoRR abs/2109.07258 (2021) - [i5]Wei Zhu, Zihe Zheng, Haitian Zheng, Hanjia Lyu, Jiebo Luo:
Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis. CoRR abs/2109.07509 (2021) - 2020
- [j1]Feiping Nie, Wei Zhu, Xuelong Li:
Decision Tree SVM: An extension of linear SVM for non-linear classification. Neurocomputing 401: 153-159 (2020) - [c6]Weijian Li, Wei Zhu, Earl Ray Dorsey, Jiebo Luo:
Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data. ICDM 2020: 1106-1111 - [c5]Wei Zhu, Feng Shi, Jiebo Luo:
Modeling Heterogeneity in Feature Selection for MCI Classification. ISBI 2020: 1548-1551 - [c4]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: 330-339 - [i4]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 abs/2003.03701 (2020) - [i3]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 abs/2004.09694 (2020) - [i2]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 abs/2005.12439 (2020) - [i1]Weijian Li, Wei Zhu, Earl Ray Dorsey, Jiebo Luo:
Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data. CoRR abs/2009.11999 (2020)
2010 – 2019
- 2017
- [c3]Feiping Nie, Wei Zhu, Xuelong Li:
Unsupervised Large Graph Embedding. AAAI 2017: 2422-2428 - [c2]Wei Zhu, Feiping Nie, Xuelong Li:
Fast Spectral Clustering with efficient large graph construction. ICASSP 2017: 2492-2496 - 2016
- [c1]Feiping Nie, Wei Zhu, Xuelong Li:
Unsupervised Feature Selection with Structured Graph Optimization. AAAI 2016: 1302-1308
Coauthor Index
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