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Wei Liu
Wei Liu
Institute of automation, Chinese academy of science
Verificeret mail på ia.ac.cn
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Improving visual grounding with visual-linguistic verification and iterative reasoning
L Yang, Y Xu, C Yuan, W Liu, B Li, W Hu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1312022
Semi-supervised classification of hyperspectral data based on generative adversarial networks and neighborhood majority voting
Y Zhan, K Wu, W Liu, J Qin, Z Yang, Y Medjadba, G Wang, X Yu
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
322018
Classification of large-scale stellar spectra based on deep convolutional neural network
W Liu, M Zhu, C Dai, DY He, J Yao, HF Tian, BY Wang, K Wu, Y Zhan, ...
Monthly Notices of the Royal Astronomical Society 483 (4), 4774-4783, 2019
272019
A new hyperspectral band selection approach based on convolutional neural network
Y Zhan, H Tian, W Liu, Z Yang, K Wu, G Wang, P Chen, X Yu
2017 IEEE international geoscience and remote sensing symposium (IGARSS …, 2017
182017
Radio frequency interference detection based on the AC-UNet model
RQ Yan, C Dai, W Liu, JX Li, SY Chen, XC Yu, SF Zuo, XL Chen
Research in Astronomy and Astrophysics 21 (5), 119, 2021
142021
Exploiting contextual objects and relations for 3d visual grounding
L Yang, Z Zhang, Z Qi, Y Xu, W Liu, Y Shan, B Li, W Yang, P Li, Y Wang, ...
Advances in Neural Information Processing Systems 36, 2024
132024
Combining graph clustering and quantitative association rules for knowledge discovery in geochemical data problem
Y Medjadba, D Hu, W Liu, X Yu
IEEE Access 8, 40453-40473, 2019
92019
Real-time abnormal light curve detection based on a Gated Recurrent Unit network
RQ Yan, W Liu, M Zhu, YJ Wang, C Dai, S Cao, K Wu, YC Liang, XC Yu, ...
Research in Astronomy and Astrophysics 20 (1), 007, 2020
72020
Oscillatory stability analysis for wind power systems based on operating-condition dependent impedance model
Y Zhan, W Liu, H Wang, Y Li, X Xie
2021 IEEE 4th International Electrical and Energy Conference (CIEEC), 1-6, 2021
62021
Semi-supervised classification of hyperspectral data for geologic body based on generative adversarial networks at Tianshan area
J Qin, Y Zhan, K Wu, W Liu, Z Yang, W Yao, Y Medjadba, Y Zhang, X Yu
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
62018
Identification of new M 31 star cluster candidates from PAndAS images using convolutional neural networks
S Wang, B Chen, J Ma, Q Long, H Yuan, D Liu, Z Zhou, W Liu, J Chen, ...
Astronomy & Astrophysics 658, A51, 2022
42022
Geologic body classification of hyperspectral data based on dilated convolution neural network at Tianshan area
J Qin, Y Zhan, C Dai, W Yao, K Wu, W Liu, Y Cao, X Zhang, Y Medjadba, ...
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
42019
A deep learning approach for detecting candidates of supernova remnants
W Liu, M Zhu, C Dai, BY Wang, K Wu, XC Yu, WW Tian, MF Zhang, ...
Research in Astronomy and Astrophysics 19 (3), 042, 2019
42019
Weak celestial source fringes detection based on channel attention shrinkage networks and cluster-based anchor boxes generation algorithm
R Yan, R Ma, W Liu, Z Yin, Z Zhao, S Chen, S Chang, H Zhu, D Hu, X Yu
Digital Signal Processing 129, 103663, 2022
22022
StellarGAN: Classifying Stellar Spectra with Generative Adversarial Networks in SDSS and APOGEE Sky Surveys
W Liu, S Cao, XC Yu, M Zhu, M Biesiada, J Yao, M Du
The Astrophysical Journal Supplement Series 271 (2), 53, 2024
12024
Gravitational Wave Detection Based on Squeeze-and-excitation Shrinkage Networks and Multiple Detector Coherent SNR
RQ Yan, W Liu, ZY Yin, R Ma, SY Chen, D Hu, D Wu, XC Yu
Research in Astronomy and Astrophysics 22 (11), 115008, 2022
12022
NFT1000: A Cross-Modal Dataset For Non-Fungible Token Retrieval
S Wang, Y Lei, Z Zhang, W Liu, H Liu, L Yang, B Li, W Li, J Gao, W Hu
Proceedings of the 32nd ACM International Conference on Multimedia, 2214-2222, 2024
2024
基于对偶误差的脉冲神经网络目标检测方法
刘伟, 李文娟, 高晋, 李椋
电子与信息学报 45 (12), 4469-4476, 2023
2023
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