| 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 | 45 | 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 | 37 | 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 | 32 | 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 | 29 | 2020 |
| Structured pruning of recurrent neural networks through neuron selection L Wen, X Zhang, H Bai, Z Xu Neural Networks 123, 134-141, 2020 | 25 | 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 | 24 | 2018 |
| Structured Inference for Recurrent Hidden Semi-markov Model. H Liu, L He, H Bai, B Dai, K Bai, Z Xu IJCAI, 2447-2453, 2018 | 24 | 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 | 17 | 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 | 15 | 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 | 12 | 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 | 11 | 2020 |
| Efficient bitwidth search for practical mixed precision neural network Y Li, W Wang, H Bai, R Gong, X Dong, F Yu arXiv preprint arXiv:2003.07577, 2020 | 10 | 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 | 7 | 2020 |
| 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 | 7 | 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 | 7 | 2017 |
| Stochastic sequential neural networks with structured inference H Liu, H Bai, L He, Z Xu arXiv preprint arXiv:1705.08695, 2017 | 5 | 2017 |
| 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 | 2 | 2020 |
| Hierarchical probabilistic matrix factorization with network topology for multi-relational social network H Bai, Z Xu, B Liu, Y Li Asian Conference on Machine Learning, 270-285, 2016 | 2 | 2016 |
| 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 | 1 | 2021 |
| Gradient estimation of information measures in deep learning L Wen, H Bai, L He, Y Zhou, M Zhou, Z Xu Knowledge-Based Systems 224, 107046, 2021 | 1 | 2021 |
Zenglin XuHarbin Institute of Technology, Shenzhen & Peng Cheng LabVerified email at hit.edu.cn
