| Discrimination-aware channel pruning for deep neural networks Z Zhuang, M Tan, B Zhuang, J Liu, Y Guo, Q Wu, J Huang, J Zhu Advances in neural information processing systems 31, 2018 | 582 | 2018 |
| Closed-loop matters: Dual regression networks for single image super-resolution Y Guo, J Chen, J Wang, Q Chen, J Cao, Z Deng, Y Xu, M Tan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 275 | 2020 |
| NAT: Neural Architecture Transformer for Accurate and Compact Architectures Y Guo, Y Zheng, M Tan, Q Chen, J Chen, P Zhao, J Huang Neural Information Processing Systems (NeurIPS), 2019 | 73 | 2019 |
| Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis Y Guo, Q Chen, J Chen, Q Wu, Q Shi, M Tan IEEE Transactions on Multimedia, 2019 | 70 | 2019 |
| Discrimination-aware network pruning for deep model compression J Liu, B Zhuang, Z Zhuang, Y Guo, J Huang, J Zhu, M Tan IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 52 | 2021 |
| Breaking the curse of space explosion: Towards efficient nas with curriculum search Y Guo, Y Chen, Y Zheng, P Zhao, J Chen, J Huang, M Tan International Conference on Machine Learning, 3822-3831, 2020 | 49 | 2020 |
| Hierarchical neural architecture search for single image super-resolution Y Guo, Y Luo, Z He, J Huang, J Chen IEEE Signal Processing Letters, 2020 | 45 | 2020 |
| Adversarial learning with local coordinate coding J Cao, Y Guo, Q Wu, C Shen, J Huang, M Tan International Conference on Machine Learning, 707-715, 2018 | 37 | 2018 |
| Multi-way backpropagation for training compact deep neural networks Y Guo, J Chen, Q Du, A Van Den Hengel, Q Shi, M Tan Neural networks, 2020 | 32* | 2020 |
| Dynamic extension nets for few-shot semantic segmentation L Liu, J Cao, M Liu, Y Guo, Q Chen, M Tan Proceedings of the 28th ACM international conference on multimedia, 1441-1449, 2020 | 30 | 2020 |
| Contrastive neural architecture search with neural architecture comparators Y Chen, Y Guo, Q Chen, M Li, W Zeng, Y Wang, M Tan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 27 | 2021 |
| Double Forward Propagation for Memorized Batch Normalization Y Guo, Q Wu, C Deng, J Chen, M Tan AAAI 2018, https://www.aaai.org/ocs/index.php/AAAI/, 2018 | 26 | 2018 |
| Towards accurate and compact architectures via neural architecture transformer Y Guo, Y Zheng, M Tan, Q Chen, Z Li, J Chen, P Zhao, J Huang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6501 …, 2021 | 15 | 2021 |
| Dual reconstruction nets for image super-resolution with gradient sensitive loss Y Guo, Q Chen, J Chen, J Huang, Y Xu, J Cao, P Zhao, M Tan arXiv preprint arXiv:1809.07099, 2018 | 15 | 2018 |
| Online feature selection of class imbalance via pa algorithm C Han, YK Tan, JH Zhu, Y Guo, J Chen, QY Wu Journal of Computer Science and Technology 31, 673-682, 2016 | 12 | 2016 |
| Disturbance-immune weight sharing for neural architecture search S Niu, J Wu, Y Zhang, Y Guo, P Zhao, J Huang, M Tan Neural Networks 144, 553-564, 2021 | 11 | 2021 |
| Conditional automated channel pruning for deep neural networks Y Liu, Y Guo, J Guo, L Jiang, J Chen IEEE Signal Processing Letters 28, 1275-1279, 2021 | 8 | 2021 |
| Improving robustness by enhancing weak subnets Y Guo, D Stutz, B Schiele Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 7* | 2022 |
| Adaxpert: Adapting neural architecture for growing data S Niu, J Wu, G Xu, Y Zhang, Y Guo, P Zhao, P Wang, M Tan International Conference on Machine Learning, 8184-8194, 2021 | 7 | 2021 |
| Pareto-aware Neural Architecture Generation for Diverse Computational Budgets Y Guo, Y Chen, Y Zheng, Q Chen, P Zhao, J Chen, J Huang, M Tan arXiv preprint arXiv:2210.07634, 2022 | 6* | 2022 |
Mingkui TanSouth China University of TechnologyVerified email at scut.edu.cn
