DeepFM: a factorization-machine based neural network for CTR prediction H Guo, R Tang, Y Ye, Z Li, X He IJCAI 2017, 2017 | 2827 | 2017 |
Meta-sgd: Learning to learn quickly for few-shot learning Z Li, F Zhou, F Chen, H Li arXiv preprint arXiv:1707.09835, 2017 | 1292 | 2017 |
Federated meta-learning with fast convergence and efficient communication F Chen, M Luo, Z Dong, Z Li, X He arXiv preprint arXiv:1802.07876, 2018 | 522 | 2018 |
Filip: Fine-grained interactive language-image pre-training L Yao, R Huang, L Hou, G Lu, M Niu, H Xu, X Liang, Z Li, X Jiang, C Xu ICLR 2022, 2021 | 462 | 2021 |
Segmentation using superpixels: A bipartite graph partitioning approach Z Li, XM Wu, SF Chang CVPR 2012, 2012 | 380 | 2012 |
Detco: Unsupervised contrastive learning for object detection E Xie, J Ding, W Wang, X Zhan, H Xu, P Sun, Z Li, P Luo ICCV 2021, 2021 | 345 | 2021 |
Darts+: Improved differentiable architecture search with early stopping H Liang, S Zhang, J Sun, X He, W Huang, K Zhuang, Z Li arXiv preprint arXiv:1909.06035, 2019 | 334 | 2019 |
Auto-fpn: Automatic network architecture adaptation for object detection beyond classification H Xu, L Yao, W Zhang, X Liang, Z Li ICCV 2019, 2019 | 227 | 2019 |
One million scenes for autonomous driving: Once dataset J Mao, M Niu, C Jiang, H Liang, J Chen, X Liang, Y Li, C Ye, W Zhang, ... NeurIPS Datasets and Benchmarks 2021, 2021 | 221 | 2021 |
Boosting few-shot learning with adaptive margin loss A Li, W Huang, X Lan, J Feng, Z Li, L Wang CVPR 2020, 2020 | 211 | 2020 |
Autofis: Automatic feature interaction selection in factorization models for click-through rate prediction B Liu, C Zhu, G Li, W Zhang, J Lai, R Tang, X He, Z Li, Y Yu KDD 2020, 2020 | 187 | 2020 |
Curvelane-nas: Unifying lane-sensitive architecture search and adaptive point blending H Xu, S Wang, X Cai, W Zhang, X Liang, Z Li ECCV 2020, 2020 | 175 | 2020 |
Metamath: Bootstrap your own mathematical questions for large language models L Yu, W Jiang, H Shi, J Yu, Z Liu, Y Zhang, JT Kwok, Z Li, A Weller, W Liu ICLR 2024 spotlight, 2023 | 174 | 2023 |
Learning with partially absorbing random walks XM Wu, Z Li, A So, J Wright, SF Chang NeurIPS 2012, 2012 | 169 | 2012 |
Pairwise constraint propagation by semidefinite programming for semi-supervised classification Z Li, J Liu, X Tang ICML 2008, 2008 | 163 | 2008 |
Deep meta-learning: Learning to learn in the concept space F Zhou, B Wu, Z Li arXiv preprint arXiv:1802.03596, 2018 | 158 | 2018 |
Constrained clustering via spectral regularization Z Li, J Liu, X Tang CVPR 2009, 2009 | 157 | 2009 |
Spatial-aware graph relation network for large-scale object detection H Xu, C Jiang, X Liang, Z Li CVPR 2019, 2019 | 135 | 2019 |
Locally linear hashing for extracting non-linear manifolds G Irie, Z Li, XM Wu, SF Chang CVPR 2014, 2014 | 119 | 2014 |
Bridging the gap between sample-based and one-shot neural architecture search with bonas H Shi, R Pi, H Xu, Z Li, J Kwok, T Zhang NeurIPS 2020, 2020 | 115 | 2020 |