| Efficient Test-Time Model Adaptation without Forgetting S Niu, J Wu, Y Zhang, Y Chen, S Zheng, P Zhao, M Tan International conference on machine learning, 16888-16905, 2022 | 583 | 2022 |
| Towards Stable Test-Time Adaptation in Dynamic Wild World S Niu, J Wu, Y Zhang, Z Wen, Y Chen, P Zhao, M Tan International Conference on Learning Representations (ICLR) Oral, 2023 | 475 | 2023 |
| 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 | 109 | 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 | 85 | 2020 |
| Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation Y Chen, S Niu, S Xu, H Song, Y Wang, M Tan The Twelfth International Conference on Learning Representations, 2024 | 19 | 2024 |
| PyTorch CIFAR Models Y Chen | 19* | 2021 |
| Uncertainty-calibrated test-time model adaptation without forgetting M Tan, G Chen, J Wu, Y Zhang, Y Chen, P Zhao, S Niu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 | 18 | 2025 |
| Content-aware Convolutional Neural Networks Y Guo, Y Chen, M Tan, K Jia, J Chen, J Wang Neural Networks 143, 657-668, 2021 | 12 | 2021 |
| Towards long video understanding via fine-detailed video story generation Z You, Z Wen, Y Chen, X Li, R Zeng, Y Wang, M Tan IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 11 | 2024 |
| Core context aware transformers for long context language modeling Y Chen, Z You, S Zhang, H Li, Y Li, Y Wang, M Tan arXiv preprint arXiv:2412.12465, 2024 | 8 | 2024 |
| Pareto-aware neural architecture generation for diverse computational budgets Y Guo, Y Chen, Y Zheng, Q Chen, P Zhao, J Huang, J Chen, M Tan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers Q Deng, S Niu, R Zhang, Y Chen, R Zeng, J Chen, X Hu Proceedings of the AAAI Conference on Artificial Intelligence 39 (15), 16235 …, 2025 | 7 | 2025 |
| Automated dominative subspace mining for efficient neural architecture search Y Chen, Y Guo, D Liao, F Lv, H Song, JTY Kwok, M Tan IEEE Transactions on Circuits and Systems for Video Technology 34 (10), 9281 …, 2024 | 6 | 2024 |
| Pareto-frontier-aware neural architecture generation for diverse budgets Y Guo, Y Chen, Y Zheng, Q Chen, P Zhao, J Chen, J Huang, M Tan arXiv preprint arXiv:2103.00219, 2021 | 4 | 2021 |
| Curse of High Dimensionality Issue in Transformer for Long-context Modeling S Zhang, Z You, Y Chen, Z Wen, Q Wang, Z Qiu, Y Li, M Tan arXiv preprint arXiv:2505.22107, 2025 | 3 | 2025 |
| Towards stable test-time adaptation in dynamic wild world (2023) S Niu, J Wu, Y Zhang, Z Wen, Y Chen, P Zhao, M Tan URL https://arxiv. org/abs/2302.12400, 2023 | 3 | 2023 |
| Automatic subspace evoking for efficient neural architecture search Y Chen, Y Guo, D Liao, F Lv, H Song, M Tan arXiv preprint arXiv:2210.17180 1, 2022 | 3 | 2022 |
| Adapt in the wild: Test-time entropy minimization with sharpness and feature regularization S Niu, G Chen, D Chen, Y Zhang, J Wu, Z Wen, Y Chen, P Zhao, C Miao, ... arXiv preprint arXiv:2509.04977, 2025 | 1 | 2025 |
| Sensitivity-Aware Post-Training Quantization for Deep Neural Networks Z Zheng, H Li, Y Chen, M Tan, Q Du arXiv preprint arXiv:2509.05576, 2025 | | 2025 |
| Core Context Aware Transformers for Long Context Language Modeling MT Yaofo Chen, Zeng You, Shuhai Zhang, Haokun Li, Yirui Li, Yaowei Wang International Conference on Machine Learning, 2025 | | 2025 |
Mingkui TanSouth China University of TechnologyVerified email at scut.edu.cn
