Zhenguo Li
Zhenguo Li
Huawei Noah's Ark Lab
Verified email at
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DeepFM: a factorization-machine based neural network for CTR prediction
H Guo, R Tang, Y Ye, Z Li, X He
IJCAI 2017, 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
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
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
Segmentation using superpixels: A bipartite graph partitioning approach
Z Li, XM Wu, SF Chang
CVPR 2012, 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
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
Auto-fpn: Automatic network architecture adaptation for object detection beyond classification
H Xu, L Yao, W Zhang, X Liang, Z Li
ICCV 2019, 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
Boosting few-shot learning with adaptive margin loss
A Li, W Huang, X Lan, J Feng, Z Li, L Wang
CVPR 2020, 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
Learning with partially absorbing random walks
XM Wu, Z Li, A So, J Wright, SF Chang
NeurIPS 2012, 2012
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
Pairwise constraint propagation by semidefinite programming for semi-supervised classification
Z Li, J Liu, X Tang
ICML 2008, 2008
Constrained clustering via spectral regularization
Z Li, J Liu, X Tang
CVPR 2009, 2009
Deep meta-learning: Learning to learn in the concept space
F Zhou, B Wu, Z Li
arXiv preprint arXiv:1802.03596, 2018
Spatial-aware graph relation network for large-scale object detection
H Xu, C Jiang, X Liang, Z Li
CVPR 2019, 2019
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
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
Locally linear hashing for extracting non-linear manifolds
G Irie, Z Li, XM Wu, SF Chang
CVPR 2014, 2014
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