| 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, 2021 | 366* | 2021 |
| Free Lunch for Few-shot Learning: Distribution Calibration S Yang, L Liu, M Xu ICLR 2021, 2021 | 116 | 2021 |
| Learning to Propagate for Graph Meta-Learning L Liu, T Zhou, G Long, J Jiang, C Zhang NeurIPS 2019, 2019 | 71 | 2019 |
| A universal representation transformer layer for few-shot image classification L Liu, W Hamilton, G Long, J Jiang, H Larochelle ICLR 2021, 2020 | 66 | 2020 |
| Rethinking 1d-cnn for time series classification: A stronger baseline W Tang, G Long, L Liu, T Zhou, J Jiang, M Blumenstein arXiv preprint arXiv:2002.10061, 2020 | 62 | 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 | 60 | 2019 |
| Attribute Propagation Network for Graph Zero-shot Learning L Liu, T Zhou, G Long, J Jiang, C Zhang AAAI 2020, 2020 | 43 | 2020 |
| Isometric Propagation Network for Generalized Zero-shot Learning L Liu, T Zhou, G Long, J Jiang, X Dong, C Zhang ICLR 2021, 2021 | 19 | 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, 2021 | 16 | 2021 |
| 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 | 14 | 2020 |
| 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 | 8 | 2021 |
| Few-shot Time-series Classification with Dual Interpretability W Tang, L Liu, G Long ICML 2019 Time Series Workshop, 2019 | 6 | 2019 |
| 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 | 2 | 2021 |
| 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 | | 2021 |
Guodong LongAssociate Professor, Australian AI Institute, University of Technology SydneyVerified email at uts.edu.au
