| Instance enhancement batch normalization: An adaptive regulator of batch noise S Liang, Z Huang, M Liang, H Yang Proceedings of the AAAI conference on artificial intelligence 34 (04), 4819-4827, 2020 | 59 | 2020 |
| Rethinking the pruning criteria for convolutional neural network Z Huang, W Shao, X Wang, L Lin, P Luo Advances in Neural Information Processing Systems 34, 16305-16318, 2021 | 45 | 2021 |
| Dianet: Dense-and-implicit attention network Z Huang, S Liang, M Liang, H Yang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4206-4214, 2020 | 45 | 2020 |
| Sur-adapter: Enhancing text-to-image pre-trained diffusion models with large language models S Zhong, Z Huang, W Wen, J Qin, L Lin Proceedings of the 31st ACM International Conference on Multimedia, 567-578, 2023 | 26 | 2023 |
| Convolution-weight-distribution assumption: Rethinking the criteria of channel pruning Z Huang, W Shao, X Wang, L Lin, P Luo Advances in Neural Information Processing Systems 34, 2020 | 20 | 2020 |
| Stiffness-aware neural network for learning Hamiltonian systems S Liang, Z Huang, H Zhang International Conference on Learning Representations, 2022 | 18 | 2022 |
| Continuous transition: Improving sample efficiency for continuous control problems via mixup J Lin, Z Huang, K Wang, X Liang, W Chen, L Lin 2021 IEEE International Conference on Robotics and Automation (ICRA), 9490-9497, 2021 | 14 | 2021 |
| Efficient attention network: Accelerate attention by searching where to plug Z Huang, S Liang, M Liang, W He, H Yang arXiv preprint arXiv:2011.14058, 2020 | 13 | 2020 |
| Scalelong: Towards more stable training of diffusion model via scaling network long skip connection Z Huang, P Zhou, S Yan, L Lin Advances in Neural Information Processing Systems 36, 70376-70401, 2023 | 12 | 2023 |
| The lottery ticket hypothesis for self-attention in convolutional neural network Z Huang, S Liang, M Liang, W He, H Yang, L Lin arXiv preprint arXiv:2207.07858, 2022 | 11 | 2022 |
| Blending pruning criteria for convolutional neural networks W He, Z Huang, M Liang, S Liang, H Yang Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021 | 11 | 2021 |
| Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation S Zhong, Z Huang, S Gao, W Wen, L Lin, M Zitnik, P Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 6 | 2024 |
| Understanding Self-attention Mechanism via Dynamical System Perspective Z Huang, M Liang, J Qin, S Zhong, L Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5 | 2023 |
| Layer-wise shared attention network on dynamical system perspective Z Huang, S Liang, M Liang, W He, L Lin arXiv preprint arXiv:2210.16101, 2022 | 5 | 2022 |
| Accelerating numerical solvers for large-scale simulation of dynamical system via neurvec Z Huang, S Liang, H Zhang, H Yang, L Lin arXiv preprint arXiv:2208.03680, 2022 | 5 | 2022 |
| AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training Z Huang, M Liang, S Liang, W He arXiv preprint arXiv:2107.05804, 2021 | 5 | 2021 |
| On fast simulation of dynamical system with neural vector enhanced numerical solver Z Huang, S Liang, H Zhang, H Yang, L Lin Scientific Reports 13 (1), 15254, 2023 | 4 | 2023 |
| ASR: Attention-alike Structural Re-parameterization S Zhong, Z Huang, W Wen, J Qin, L Lin arXiv preprint arXiv:2304.06345, 2023 | 4 | 2023 |
| On robust numerical solver for ode via self-attention mechanism Z Huang, M Liang, L Lin arXiv preprint arXiv:2302.10184, 2023 | 3 | 2023 |
| Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima S Zhong, Z Huang, D Li, W Wen, J Qin, L Lin Proceedings of the ACM on Web Conference 2024, 3700-3711, 2024 | 2 | 2024 |
Liang LinFellow of IEEE/IAPR, Research Director of Peng Cheng Laboratory, Professor of Computer Science, SYSU在 ieee.org 的电子邮件经过验证
