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Lu Liu
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Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
9912023
Nats-bench: Benchmarking nas algorithms for architecture topology and size
X Dong, L Liu, K Musial, B Gabrys
IEEE transactions on pattern analysis and machine intelligence 44 (7), 3634-3646, 2021
848*2021
Free Lunch for Few-shot Learning: Distribution Calibration
S Yang, L Liu, M Xu
ICLR 2021, 2021
3682021
Fedproto: Federated prototype learning across heterogeneous clients
Y Tan, G Long, L Liu, T Zhou, Q Lu, J Jiang, C Zhang
AAAI Conference on Artificial Intelligence 2022 1, 3, 2022
3342022
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification
W Tang, G Long, L Liu, T Zhou, M Blumenstein, J Jiang
International Conference on Learning Representations 2022, 2021
242*2021
A universal representation transformer layer for few-shot image classification
L Liu, W Hamilton, G Long, J Jiang, H Larochelle
ICLR 2021, 2020
1382020
Federated learning from pre-trained models: A contrastive learning approach
Y Tan, G Long, J Ma, L Liu, T Zhou, J Jiang
NeurIPS 2022, 2022
1172022
Learning to Propagate for Graph Meta-Learning
L Liu, T Zhou, G Long, J Jiang, C Zhang
NeurIPS 2019, 2019
1002019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
L Liu, T Zhou, G Long, J Jiang, L Yao, C Zhang
IJCAI 2019, 2019
842019
Attribute Propagation Network for Graph Zero-shot Learning
L Liu, T Zhou, G Long, J Jiang, C Zhang
AAAI 2020, 2020
762020
Isometric Propagation Network for Generalized Zero-shot Learning
L Liu, T Zhou, G Long, J Jiang, X Dong, C Zhang
ICLR 2021, 2021
432021
Interpretable time-series classification on few-shot samples
W Tang, L Liu, G Long
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
322020
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy
L Liu, T Zhou, G LONG, J Jiang, C Zhang
IEEE Transactions on Knowledge and Data Engineering, 1-1, 2020
282020
Recognizing vector graphics without rasterization
X Jiang, L Liu, C Shan, Y Shen, X Dong, D Li
Advances in Neural Information Processing Systems 34, 24569-24580, 2021
172021
Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task
X Zhang, L Liu, G Long, J Jiang, S Liu
Neural Networks 134, 1-10, 2021
172021
Full-cycle energy consumption benchmark for low-carbon computer vision
B Li, X Jiang, D Bai, Y Zhang, N Zheng, X Dong, L Liu, Y Yang, D Li
arXiv preprint arXiv:2108.13465, 2021
92021
Few-shot Time-series Classification with Dual Interpretability
W Tang, L Liu, G Long
ICML 2019 Time Series Workshop, 2019
82019
Fedproto: Federated prototype learning over heterogeneous devices
Y Tan, G Long, L Liu, T Zhou, Q Lu, J Jiang, C Zhang
arXiv preprint arXiv:2105.00243 3, 2021
2021
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