| 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 | 1134 | 2023 |
| 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 | 123 | 2022 |
| 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 | 348 | 2022 |
| 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 | 17 | 2021 |
| 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 | 248* | 2021 |
| 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 | 9 | 2021 |
| Isometric Propagation Network for Generalized Zero-shot Learning L Liu, T Zhou, G Long, J Jiang, X Dong, C Zhang ICLR 2021, 2021 | 43 | 2021 |
| 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 | 857* | 2021 |
| Free Lunch for Few-shot Learning: Distribution Calibration S Yang, L Liu, M Xu ICLR 2021, 2021 | 373 | 2021 |
| 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 |
| 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 | 18 | 2021 |
| 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 | 32 | 2020 |
| A universal representation transformer layer for few-shot image classification L Liu, W Hamilton, G Long, J Jiang, H Larochelle ICLR 2021, 2020 | 139 | 2020 |
| 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 | 29 | 2020 |
| Attribute Propagation Network for Graph Zero-shot Learning L Liu, T Zhou, G Long, J Jiang, C Zhang AAAI 2020, 2020 | 76 | 2020 |
| 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 | 85 | 2019 |
| Few-shot Time-series Classification with Dual Interpretability W Tang, L Liu, G Long ICML 2019 Time Series Workshop, 2019 | 8 | 2019 |
| Learning to Propagate for Graph Meta-Learning L Liu, T Zhou, G Long, J Jiang, C Zhang NeurIPS 2019, 2019 | 103 | 2019 |
Guodong LongAssociate Professor, Faculty of Engineering and IT, University of Technology Sydney在 uts.edu.au 的电子邮件经过验证
