Stebėti
Zhenguo Li
Zhenguo Li
Huawei Noah's Ark Lab, Columbia, CUHK, PKU
Patvirtintas el. paštas huawei.com
Pavadinimas
Cituota
Cituota
Metai
DeepFM: a factorization-machine based neural network for CTR prediction
H Guo, R Tang, Y Ye, Z Li, X He
IJCAI 2017, 2017
31962017
Meta-sgd: Learning to learn quickly for few-shot learning
Z Li, F Zhou, F Chen, H Li
arXiv preprint arXiv:1707.09835, 2017
14132017
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
6102021
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
5832018
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
5162023
PixArt-: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
J Chen, J Yu, C Ge, L Yao, E Xie, Y Wu, Z Wang, J Kwok, P Luo, H Lu, Z Li
ICLR 2024 spotlight, 2023
4182023
Segmentation using superpixels: A bipartite graph partitioning approach
Z Li, XM Wu, SF Chang
CVPR 2012, 2012
3932012
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
3902021
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
3662019
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
3072021
Drivegpt4: Interpretable end-to-end autonomous driving via large language model
Z Xu, Y Zhang, E Xie, Z Zhao, Y Guo, KYK Wong, Z Li, H Zhao
IEEE Robotics and Automation Letters, 2024
2592024
Auto-fpn: Automatic network architecture adaptation for object detection beyond classification
H Xu, L Yao, W Zhang, X Liang, Z Li
ICCV 2019, 2019
2452019
Boosting few-shot learning with adaptive margin loss
A Li, W Huang, X Lan, J Feng, Z Li, L Wang
CVPR 2020, 2020
2362020
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
2182020
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
2042020
T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation
K Huang, K Sun, E Xie, Z Li, X Liu
NeurIPS 2023, 2023
1842023
Learning with partially absorbing random walks
XM Wu, Z Li, A So, J Wright, SF Chang
NeurIPS 2012, 2012
1752012
Deep meta-learning: Learning to learn in the concept space
F Zhou, B Wu, Z Li
arXiv preprint arXiv:1802.03596, 2018
1682018
Pairwise constraint propagation by semidefinite programming for semi-supervised classification
Z Li, J Liu, X Tang
ICML 2008, 2008
1642008
Constrained clustering via spectral regularization
Z Li, J Liu, X Tang
CVPR 2009, 2009
1602009
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