| Pruning filter in filter F Meng, H Cheng, K Li, H Luo, X Guo, G Lu, X Sun Advances in Neural Information Processing Systems (NeurIPS), 2020 | 110 | 2020 |
| Filter grafting for deep neural networks F Meng, H Cheng, K Li, Z Xu, R Ji, X Sun, G Lu Conference on Computer Vision and Pattern Recognition(CVPR), 6599-6607, 2020 | 42 | 2020 |
| Large language models are in-context semantic reasoners rather than symbolic reasoners X Tang, Z Zheng, J Li, F Meng, SC Zhu, Y Liang, M Zhang arXiv preprint arXiv:2305.14825, 2023 | 27 | 2023 |
| On The Consistency Training for Open-Set Semi-Supervised Learning H Luo, H Cheng, F Meng, Y Gao, K Li, M Zhang, X Sun arXiv preprint arXiv:2101.08237, 2021 | 23* | 2021 |
| Rmnet: Equivalently removing residual connection from networks F Meng, H Cheng, J Zhuang, K Li, X Sun arXiv preprint arXiv:2111.00687, 2021 | 9 | 2021 |
| PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models F Meng, Z Wang, M Zhang arXiv preprint arXiv:2404.02948, 2024 | | 2024 |
| Chain of Images for Intuitively Reasoning F Meng, H Yang, Y Wang, M Zhang arXiv preprint arXiv:2311.09241, 2023 | | 2023 |
| On the Paradox of Generalizable Logical Reasoning in Large Language Models X Tang, Z Zheng, J Li, F Meng, SC Zhu, Y Liang, M Zhang | | 2023 |
| Explaining the Complex Task Reasoning of Large Language Models with Template-Content Structure H Yang, F Meng, Z Lin, M Zhang arXiv preprint arXiv:2310.05452, 2023 | | 2023 |
