Wentao Zhu
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
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Bibliography
2024
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024
Interpretable CRISPR/Cas9 off-target activities with mismatches and indels prediction using BERT.
Comput. Biol. Medicine, February, 2024
CAAI Trans. Intell. Technol., February, 2024
OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine.
CoRR, 2024
Efficient Selective Audio Masked Multimodal Bottleneck Transformer for Audio-Video Classification.
CoRR, 2024
Efficient Multiscale Multimodal Bottleneck Transformer for Audio-Video Classification.
CoRR, 2024
2023
UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation.
IEEE Trans. Medical Imaging, December, 2023
IEEE Trans. Cybern., November, 2023
CLformer: Constraint-based Locality enhanced Transformer for anomaly detection of ancient building structures.
Eng. Appl. Artif. Intell., November, 2023
CT-based COPD identification using multiple instance learning with two-stage attention.
Comput. Methods Programs Biomed., March, 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer's disease.
Medical Image Anal., 2023
A Multi-Scale Spatial Transformer U-Net for Simultaneously Automatic Reorientation and Segmentation of 3D Nuclear Cardiac Images.
CoRR, 2023
Classification of lung cancer subtypes on CT images with synthetic pathological priors.
CoRR, 2023
Fish school feeding behavior quantification using acoustic signal and improved Swin Transformer.
Comput. Electron. Agric., 2023
Fusion of Multi-headed Self-attention for Traditional Chinese Medicine Knowledge Graph Representation Learning.
Proceedings of the 25th ACIS International Winter Conference on Software Engineering, 2023
Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Spatiotemporal Hub Identification in Brain Network by Learning Dynamic Graph Embedding on Grassmannian Manifold.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Spatiotemporal Excitation Module-based CNN for Diagnosis of Hepatic Malignancy in Four-phase CT Images.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Phase Difference Network for Efficient Differentiation of Hepatic Tumors with Multi-Phase CT.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Automatic Lung Cancer Subtypes Classification on CT Images with Self-generated Multi-modality Hybrid Features.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
A Graph Convolutional Multiple Instance Learning on a Hypersphere Manifold Approach for Diagnosing Chronic Obstructive Pulmonary Disease in CT Images.
IEEE J. Biomed. Health Informatics, 2022
Self-Supervised monocular depth and ego-Motion estimation in endoscopy: Appearance flow to the rescue.
Medical Image Anal., 2022
Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation.
CoRR, 2022
Dual-Stream Subspace Clustering Network for revealing gene targets in Alzheimer's disease.
Comput. Biol. Medicine, 2022
Int. J. Comput. Assist. Radiol. Surg., 2022
IEEE Access, 2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
A Neuropathological Hub Identification for Alzheimer's Disease Via joint Analysis of Topological Structure and Neuropathological Burden.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
MSFL-Net: Multi-Semantic Feature Learning Network for Occluded Person Re-Identification.
Proceedings of the IEEE International Joint Conference on Biometrics, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Thin Cloud Removal for Multispectral Remote Sensing Images Using Convolutional Neural Networks Combined With an Imaging Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Relative Total Variation Structure Analysis-Based Fusion Method for Hyperspectral and LiDAR Data Classification.
Remote. Sens., 2021
Semi-supervised rotation forest based on ensemble margin theory for the classification of hyperspectral image with limited training data.
Inf. Sci., 2021
CoRR, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 16th International Conference on Computer Science & Education, 2021
Research on Hyperspectral Anomaly Target Detection Algorithm Based on Dual Window Subspace Projection.
Proceedings of the 6th IEEE International Conference on Computer and Communication Systems, 2021
SpeechNAS: Towards Better Trade-Off Between Latency and Accuracy for Large-Scale Speaker Verification.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021
2020
Methodology for Reliability Assessment of Smart Grid Considering Risk of Failure of Communication Architecture.
IEEE Trans. Smart Grid, 2020
A 22nm, 10.8 μ W/15.1 μ W Dual Computing Modes High Power-Performance-Area Efficiency Domained Background Noise Aware Keyword- Spotting Processor.
IEEE Trans. Circuits Syst., 2020
A novel supervised learning method to generate CT images for attenuation correction in delayed pet scans.
Comput. Methods Programs Biomed., 2020
Binarized Weight Neural-Network Inspired Ultra-Low Power Speech Recognition Processor with Time-Domain Based Digital-Analog Mixed Approximate Computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
A Background Noise Self-adaptive VAD Using SNR Prediction Based Precision Dynamic Reconfigurable Approximate Computing.
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020
Lung CT Image Registration through Landmark-constrained Learning with Convolutional Neural Network.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
An Ultra-Low Power Always-On Keyword Spotting Accelerator Using Quantized Convolutional Neural Network and Voltage-Domain Analog Switching Network-Based Approximate Computing.
IEEE Access, 2019
EERA-KWS: A 163 TOPS/W Always-on Keyword Spotting Accelerator in 28nm CMOS Using Binary Weight Network and Precision Self-Adaptive Approximate Computing.
IEEE Access, 2019
Assessing the Applicability of Complex Network Theory Models and Importance Measures to Vulnerability Studies of Cyber-physical Systems.
Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019
2018
Modeling of Interconnected Critical Infrastructure Systems Using Complex Network Theory.
IEEE Trans. Smart Grid, 2018
IEEE Trans. Medical Imaging, 2018
2017
Proceedings of the IEEE EUROCON 2017 -17th International Conference on Smart Technologies, 2017
2015
ISAR Imaging of Nonuniformly Rotating Target Based on a Fast Parameter Estimation Algorithm of Cubic Phase Signal.
IEEE Trans. Geosci. Remote. Sens., 2015
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
KSII Trans. Internet Inf. Syst., 2015
Direct estimation from list-mode data for reversible tracers using graphical modeling.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
IEEE Trans. Medical Imaging, 2014
ISAR Imaging of Targets With Complex Motion Based on the Chirp Rate-Quadratic Chirp Rate Distribution.
IEEE Trans. Geosci. Remote. Sens., 2014
ISAR Imaging of Targets With Complex Motions Based on the Keystone Time-Chirp Rate Distribution.
IEEE Geosci. Remote. Sens. Lett., 2014
Neurocomputing, 2014
Constrained Extreme Learning Machine: A novel highly discriminative random feedforward neural network.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the Progress in Systems Engineering, 2014
2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012