Lu Hou (侯璐)
Lu Hou (侯璐)
Noah's Ark Lab, Huawei
Verified email at huawei.com - Homepage
Title
Cited by
Cited by
Year
Loss-aware Binarization of Deep Networks
L Hou, Q Yao, JT Kwok
5th International Conference on Learning Representations (ICLR-2017), 2016
1672016
Loss-aware Weight Quantization of Deep Networks
L Hou, JT Kwok
6th International Conference on Learning Representations (ICLR-2018), 2018
952018
Efficient Learning of Timeseries Shapelets
L Hou, JT Kwok, JM Zurada
the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-2016), 2016
622016
Dynabert: Dynamic bert with adaptive width and depth
L Hou, Z Huang, L Shang, X Jiang, X Chen, Q Liu
Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS-2020), 2020
562020
TernaryBERT: Distillation-aware Ultra-low Bit BERT
W Zhang, L Hou, Y Yin, L Shang, X Chen, X Jiang, Q Liu
Conference on Empirical Methods in Natural Language Processing (EMNLP-2020), 2020
332020
Analysis of Quantized Models
L Hou, R Zhang, JT Kwok
7th International Conference on Learning Representations (ICLR-2019), 2018
222018
BinaryBERT: Pushing the Limit of BERT Quantization
H Bai, W Zhang, L Hou, L Shang, J Jin, X Jiang, Q Liu, M Lyu, I King
59th Annual Meeting of the Association for Computational Linguistics (ACL-2021), 2021
212021
Normalization Helps Training of Quantized LSTM
L Hou, J Zhu, JT Kwok, F Gao, T Qin, T Liu
Thirty-third Conference on Neural Information Processing Systems (NeurIPS-2019), 2019
212019
Ghostbert: Generate more features with cheap operations for BERT
Z Huang, L Hou, L Shang, X Jiang, X Chen, Q Liu
59th Annual Meeting of the Association for Computational Linguistics (ACL …, 2021
72021
Power law in sparsified deep neural networks
L Hou, JT Kwok
arXiv preprint arXiv:1805.01891, 2018
42018
Improved OOD Generalization via Adversarial Training and Pre-training
M Yi, L Hou, J Sun, L Shang, X Jiang, Q Liu, ZM Ma
The Thirty-eighth International Conference on Machine Learning (ICML-2021), 2021
32021
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss
M Yi, L Hou, L Shang, X Jiang, Q Liu, ZM Ma
9th International Conference on Learning Representations (ICLR-2021), 2021
22021
FILIP: Fine-grained Interactive Language-Image Pre-Training
L Yao, R Huang, L Hou, G Lu, M Niu, H Xu, X Liang, Z Li, X Jiang, C Xu
arXiv preprint arXiv:2111.07783, 2021
2021
Towards Efficient Post-training Quantization of Pre-trained Language Models
H Bai, L Hou, L Shang, X Jiang, I King, MR Lyu
arXiv preprint arXiv:2109.15082, 2021
2021
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