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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
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
10th International Conference on Learning Representations (ICLR-2022), 2022
3902022
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
2602020
Loss-aware Binarization of Deep Networks
L Hou, Q Yao, JT Kwok
5th International Conference on Learning Representations (ICLR-2017), 2016
2432016
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
1772021
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
1732020
Loss-aware Weight Quantization of Deep Networks
L Hou, JT Kwok
6th International Conference on Learning Representations (ICLR-2018), 2018
1522018
Efficient Learning of Timeseries Shapelets
L Hou, JT Kwok, JM Zurada
the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-2016), 2016
972016
Wukong: A 100 million large-scale chinese cross-modal pre-training benchmark
J Gu, X Meng, G Lu, L Hou, N Minzhe, X Liang, L Yao, R Huang, W Zhang, ...
Advances in Neural Information Processing Systems 35, 26418-26431, 2022
672022
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation
W Dai, L Hou, L Shang, X Jiang, Q Liu, P Fung
Findings of the Association for Computational Linguistics (ACL-IJCNLP 2022), 2022
672022
Compression of Generative Pre-trained Language Models via Quantization
C Tao, L Hou, W Zhang, L Shang, X Jiang, Q Liu, P Luo, N Wong
60th Annual Meeting of the Association for Computational Linguistics (ACL-2022), 2022
632022
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
582021
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
452019
Towards efficient post-training quantization of pre-trained language models
H Bai, L Hou, L Shang, X Jiang, I King, MR Lyu
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS-2022), 2021
382021
Analysis of Quantized Models
L Hou, R Zhang, JT Kwok
7th International Conference on Learning Representations (ICLR-2019), 2019
322019
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
242021
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
192021
Ctrl: Connect tabular and language model for ctr prediction
X Li, B Chen, L Hou, R Tang
arXiv preprint arXiv:2306.02841, 2023
162023
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling
D Chen, C Tao, L Hou, L Shang, X Jiang, Q Liu
Conference on Empirical Methods in Natural Language Processing (EMNLP-2022), 2022
132022
Structured pruning for efficient generative pre-trained language models
C Tao, L Hou, H Bai, J Wei, X Jiang, Q Liu, P Luo, N Wong
Findings of the Association for Computational Linguistics: ACL 2023, 10880-10895, 2023
122023
Power law in deep neural networks: Sparse network generation and continual learning with preferential attachment
F Feng, L Hou, Q She, RHM Chan, JT Kwok
IEEE Transactions on Neural Networks and Learning Systems, 2022
8*2022
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Articles 1–20