| 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 | 241 | 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 | 69 | 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 | 61 | 2022 |
| 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 | 59 | 2018 |
| 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 | 53 | 2020 |
| Structured pruning of recurrent neural networks through neuron selection L Wen, X Zhang, H Bai, Z Xu Neural Networks 123, 134-141, 2020 | 50 | 2020 |
| Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models Y Zhang, H Bai, H Lin, J Zhao, L Hou, CV Cannistraci The Twelfth International Conference on Learning Representations, 2024 | 36 | 2024 |
| 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 | 34 | 2020 |
| Structured Inference for Recurrent Hidden Semi-markov Model. H Liu, L He, H Bai, B Dai, K Bai, Z Xu IJCAI, 2447-2453, 2018 | 34 | 2018 |
| 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 | 33 | 2023 |
| 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 | 32 | 2020 |
| 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 | 31 | 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 | 29 | 2018 |
| 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 | 23 | 2020 |
| Dynamically pruning segformer for efficient semantic segmentation H Bai, H Mao, D Nair ICASSP 2022, 2021 | 21 | 2021 |
| 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 | 21 | 2020 |
| IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact R Liu, H Bai, H Lin, Y Li, H Gao, Z Xu, L Hou, J Yao, C Yuan arXiv preprint arXiv:2403.01241, 2024 | 17 | 2024 |
| 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 | 15 | 2018 |
| Mope-clip: Structured pruning for efficient vision-language models with module-wise pruning error metric H Lin, H Bai, Z Liu, L Hou, M Sun, L Song, Y Wei, Z Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 14 | 2024 |
| 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 | 14 | 2020 |
Lu Hou (侯璐)Noah's Ark Lab, Huawei確認したメール アドレス: huawei.com