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Liu Liu
Liu Liu
Verified email at sydney.edu.au
Title
Cited by
Cited by
Year
Label propagation via teaching-to-learn and learning-to-teach
C Gong, D Tao, W Liu, L Liu, J Yang
IEEE transactions on neural networks and learning systems 28 (6), 1452-1465, 2016
1312016
Airplane detection based on rotation invariant and sparse coding in remote sensing images
L Liu, Z Shi
Optik 125 (18), 5327-5333, 2014
442014
GoDec+: Fast and robust low-rank matrix decomposition based on maximum correntropy
K Guo, L Liu, X Xu, D Xu, D Tao
IEEE transactions on neural networks and learning systems 29 (6), 2323-2336, 2017
362017
Toward trainability of quantum neural networks
K Zhang, MH Hsieh, L Liu, D Tao
arXiv preprint arXiv:2011.06258, 2020
352020
Airport detection based on line segment detector
Z Kou, Z Shi, L Liu
2012 International Conference on Computer Vision in Remote Sensing, 72-77, 2012
302012
Deep streaming label learning
Z Wang, L Liu, D Tao
International Conference on Machine Learning, 9963-9972, 2020
232020
Stochastic zeroth-order optimization via variance reduction method
L Liu, M Cheng, CJ Hsieh, D Tao
arXiv preprint arXiv:1805.11811, 2018
192018
Diversified dictionaries for multi-instance learning
M Qiao, L Liu, J Yu, C Xu, D Tao
Pattern Recognition 64, 407-416, 2017
192017
Contrastive graph poisson networks: Semi-supervised learning with extremely limited labels
S Wan, Y Zhan, L Liu, B Yu, S Pan, C Gong
Advances in Neural Information Processing Systems 34, 6316-6327, 2021
182021
Variance reduced methods for non-convex composition optimization
L Liu, J Liu, D Tao
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5813-5825, 2021
18*2021
Dualityfree methods for stochastic composition optimization
L Liu, J Liu, D Tao
IEEE transactions on neural networks and learning systems 30 (4), 1205-1217, 2018
122018
Adaptive curriculum learning
Y Kong, L Liu, J Wang, D Tao
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
112021
Stochastic second-order methods for non-convex optimization with inexact Hessian and gradient
L Liu, X Liu, CJ Hsieh, D Tao
arXiv preprint arXiv:1809.09853, 2018
112018
Resistance training using prior bias: toward unbiased scene graph generation
C Chen, Y Zhan, B Yu, L Liu, Y Luo, B Du
Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 212-220, 2022
92022
Gaussian initializations help deep variational quantum circuits escape from the barren plateau
K Zhang, MH Hsieh, L Liu, D Tao
arXiv preprint arXiv:2203.09376, 2022
92022
Continual learning through retrieval and imagination
Z Wang, L Liu, Y Duan, D Tao
Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8594-8602, 2022
62022
Toward trainability of deep quantum neural networks
K Zhang, MH Hsieh, L Liu, D Tao
arXiv preprint arXiv:2112.15002, 2021
62021
Skipnode: On alleviating over-smoothing for deep graph convolutional networks
W Lu, Y Zhan, Z Guan, L Liu, B Yu, W Zhao, Y Yang, D Tao
arXiv preprint arXiv:2112.11628, 2021
62021
Continual learning with lifelong vision transformer
Z Wang, L Liu, Y Duan, Y Kong, D Tao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
52022
Quantum Gram-Schmidt processes and their application to efficient state readout for quantum algorithms
K Zhang, MH Hsieh, L Liu, D Tao
Physical Review Research 3 (4), 043095, 2021
52021
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Articles 1–20