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Feiqing Huang
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年份
Do RNN and LSTM have long memory?
J Zhao, F Huang, J Lv, Y Duan, Z Qin, G Li, G Tian
International Conference on Machine Learning, 11365-11375, 2020
1872020
Encoding recurrence into transformers
F Huang, K Lu, CAI Yuxi, Z Qin, Y Fang, G Tian, G Li
The Eleventh International Conference on Learning Representations, 2023
172023
Compact autoregressive network
D Wang, F Huang, J Zhao, G Li, G Tian
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6145-6152, 2020
32020
SARMA: Scalable low-rank high-dimensional autoregressive moving averages via tensor decomposition
F Huang, K Lu, Y Zheng
arXiv preprint arXiv:2405.00626, 2024
12024
Contrastive Learning on Multimodal Analysis of Electronic Health Records
T Cai, F Huang, R Nakada, L Zhang, D Zhou
arXiv preprint arXiv:2403.14926, 2024
12024
A new measure of model redundancy for compressed convolutional neural networks
F Huang, Y Si, Y Zheng, G Li
arXiv preprint arXiv:2112.04857, 2021
12021
Supervised Factor Modeling for High-Dimensional Linear Time Series
F Huang, K Lu, G Li
Available at SSRN 4758811, 2023
2023
Rethinking Compressed Convolution Neural Network from a Statistical Perspective
F Huang, Y Si, G Li
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