Yilun Wang
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
- Yilun Wang 001 (Sun Yat-sen University, Guangzhou, China)
- Yilun Wang 002 (Hong Kong Polytechnic University, Hong Kong, SAR, China)
- Yilun Wang 003 (Mizuho, Tokyo, Japan)
- Yilun Wang 004 (Shanghai Tartan Information Technology Co., Ltd., Beijing, China)
- Yilun Wang 005 (Xi'an Jiaotong University, Xi'an, China)
Bibliography
2026
Robust selection and estimation for sparse multivariate functional nonparametric additive models via regularized Huber regression.
J. Comput. Appl. Math., 2026
2025
MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction.
Inf. Fusion, 2025
85 fJ/bit Silicon-Organic Hybrid Kerr All-Optical Switch Based on Photonic Crystal Slot Nanobeam Cavity.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2025
2024
RVRAE: A Dynamic Factor Model Based on Variational Recurrent Autoencoder for Stock Returns Prediction.
CoRR, 2024
A study on an accurate modeling for distinguishing nitrogen, phosphorous and potassium status in summer maize using in situ canopy hyperspectral data.
Comput. Electron. Agric., 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
High Accuracy WiFi Sensing for Vital Sign Detection with Multi - Task Contrastive Learning.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024
2023
A 0.1-1.9GHz 65nm CMOS variable-gain mixer-first receiver with DSA and noise-shaping TIA.
IEICE Electron. Express, 2023
CoRR, 2023
Facial recognition technology can expose political orientation from facial images even when controlling for demographics and self-presentation.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 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
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
IEEE/ACM Trans. Netw., 2021
J. Comput. Appl. Math., 2021
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021
2020
128 Gbps NRZ and 224 Gbps PAM-4 Signals Reception in Graphene Plasmonic PDM Receiver.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
2019
Wavelet frame-based image restoration using sparsity, nonlocal, and support prior of frame coefficients.
Vis. Comput., 2019
IEEE Trans. Circuits Syst. Video Technol., 2019
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019
2018
OBMA: Minimizing Bitmap Data Structure with Fast and Uninterrupted Update Processing.
Proceedings of the 26th IEEE/ACM International Symposium on Quality of Service, 2018
2017
Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States.
Proc. Natl. Acad. Sci. USA, 2017
Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US.
CoRR, 2017
Proceedings of the ACM/IEEE Symposium on Architectures for Networking and Communications Systems, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
2015
Randomized Structural Sparsity-Based Support Identification with Applications to Locating Activated or Discriminative Brain Areas: A Multicenter Reproducibility Study.
IEEE Trans. Auton. Ment. Dev., 2015
Randomized structural sparsity via constrained block subsampling for improved sensitivity of discriminative voxel identification.
NeuroImage, 2015
Randomized Structural Sparsity based Support Identification with Applications to Locating Activated or Discriminative Brain Areas: A Multi-center Reproducibility Study.
CoRR, 2015
A Novel Feature Selection Approach for Analyzing High dimensional Functional MRI Data.
CoRR, 2015
Wavelet Frame Based Image Restoration Using Sparsity, Nonlocal and Support Prior of Frame Coefficients.
CoRR, 2015
Global sensitivity analysis for computationally expensive models based on radial basis function interpolationand optimization.
Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015
Linear spatial pyramid matching using non-convex and non-negative sparse coding for image classification.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015
2014
Iterative Support Detection-Based Split Bregman Method for Wavelet Frame-Based Image Inpainting.
IEEE Trans. Image Process., 2014
An active contour model and its algorithms with local and global Gaussian distribution fitting energies.
Inf. Sci., 2014
Randomized Structural Sparsity via Constrained Block Subsampling for Improved Sensitivity of Discriminative Voxel Identification.
CoRR, 2014
Truncated Nuclear Norm Minimization for Image Restoration Based On Iterative Support Detection.
CoRR, 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014
2013
Sparse Brain anatomical Network Based Classification of Schizophrenia Patients and Healthy Controls.
Proceedings of the Intelligence Science and Big Data Engineering, 2013
Feature Selection via Sparse Regression for Classification of Functional Brain Networks.
Proceedings of the Intelligence Science and Big Data Engineering, 2013
2010
SIAM J. Imaging Sci., 2010
2009
SIAM J. Imaging Sci., 2009
2008
SIAM J. Imaging Sci., 2008