Haoli Bai
Haoli Bai
Noah's Ark Lab, Huawei
Verified email at - Homepage
Cited by
Cited by
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
Few shot network compression via cross distillation
H Bai, J Wu, I King, M Lyu
Proceedings of the AAAI Conference on Artificial Intelligence, 3203-3210, 2020
DART: Domain-adversarial residual-transfer networks for unsupervised cross-domain image classification
X Fang, H Bai, Z Guo, B Shen, S Hoi, Z Xu
Neural Networks 127, 182-192, 2020
Neural Relational Topic Models for Scientific Article Analysis
H Bai, Z Chen, MR Lyu, I King, Z Xu
Proceedings of the 27th ACM International Conference on Information and …, 2018
Structured pruning of recurrent neural networks through neuron selection
L Wen, X Zhang, H Bai, Z Xu
Neural Networks 123, 134-141, 2020
Pocketflow: An automated framework for compressing and accelerating deep neural networks
J Wu, Y Zhang, H Bai, H Zhong, J Hou, W Liu, W Huang, J Huang
Structured Inference for Recurrent Hidden Semi-markov Model.
H Liu, L He, H Bai, B Dai, K Bai, Z Xu
IJCAI, 2447-2453, 2018
Revisiting Parameter Sharing for Automatic Neural Channel Number Search
J Wang*, H Bai*, J Wu, X Shi, J Huang, I King, M Lyu, J Cheng
Advances in Neural Information Processing Systems 33, 2020
Rtn: Reparameterized ternary network
Y Li, X Dong, SQ Zhang, H Bai, Y Chen, W Wang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4780-4787, 2020
M-nas: Meta neural architecture search
J Wang, J Wu, H Bai, J Cheng
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6186-6193, 2020
Efficient bitwidth search for practical mixed precision neural network
Y Li, W Wang, H Bai, R Gong, X Dong
arXiv preprint arXiv:2003.07577 3, 2020
Bayesian automatic model compression
J Wang, H Bai, J Wu, J Cheng
IEEE Journal of Selected Topics in Signal Processing 14 (4), 727-736, 2020
Translider: Transfer ensemble learning from exploitation to exploration
K Zhong, Y Wei, C Yuan, H Bai, J Huang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Towards efficient post-training quantization of pre-trained language models
H Bai, L Hou, L Shang, X Jiang, I King, MR Lyu
Advances in Neural Information Processing Systems, 2022
Variational random function model for network modeling
Z Xu, B Liu, S Zhe, H Bai, Z Wang, J Neville
IEEE Transactions on Neural Networks and Learning Systems 30 (1), 318-324, 2018
Learning from semantically dependent multi-tasks
B Liu, Z Xu, B Dai, H Bai, X Fang, Y Ren, S Zhe
2017 International Joint Conference on Neural Networks (IJCNN), 3498-3505, 2017
Stochastic sequential neural networks with structured inference
H Liu, H Bai, L He, Z Xu
arXiv preprint arXiv:1705.08695, 2017
Dynamically pruning segformer for efficient semantic segmentation
H Bai, H Mao, D Nair
ICASSP 2022, 2021
Discrete Auto-regressive Variational Attention Models for Text Modeling
X Fang*, H Bai*, J LI, Z Xu, M Lyu, I King
arXiv preprint arXiv:2004.09764, 2020
Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding
H Bai, Z Liu, X Meng, W Li, S Liu, N Xie, R Zheng, L Wang, L Hou, J Wei, ...
arXiv preprint arXiv:2212.09621, 2022
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