| Kriging convolutional networks G Appleby*, L Liu*, LP Liu Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3187-3194, 2020 | 110 | 2020 |
| Stochastic iterative graph matching L Liu, MC Hughes, S Hassoun, L Liu International Conference on Machine Learning, 6815-6825, 2021 | 25 | 2021 |
| An optimized multi-classifiers ensemble learning for identification of ginsengs based on electronic nose X Sun, L Liu, Z Wang, J Miao, Y Wang, Z Luo, G Li Sensors and Actuators A: Physical 266, 135-144, 2017 | 24 | 2017 |
| Universal representation for code L Liu, H Nguyen, G Karypis, S Sengamedu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 16-28, 2021 | 13 | 2021 |
| Amortized variational inference with graph convolutional networks for gaussian processes L Liu, L Liu The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 13 | 2019 |
| Towards accurate subgraph similarity computation via neural graph pruning L Liu, X Han, D Zhou, LP Liu arXiv preprint arXiv:2210.10643, 2022 | 8 | 2022 |
| Valid probabilistic predictions for ginseng with venn machines using electronic nose Y Wang, J Miao, X Lyu, L Liu, Z Luo, G Li Sensors 16 (7), 1088, 2016 | 5 | 2016 |
| Preference discerning with LLM-Enhanced generative retrieval F Paischer, L Yang, L Liu, S Shao, K Hassani, J Li, R Chen, ZG Li, X Gao, ... arXiv preprint arXiv:2412.08604, 2024 | 4 | 2024 |
| Localizing and amortizing: Efficient inference for Gaussian processes L Liu, L Liu Asian Conference on Machine Learning, 823-836, 2020 | 2 | 2020 |
| Non-Parametric Variational Inference with Graph Convolutional Networks for Gaussian Processes L Liu, L Liu arXiv preprint arXiv:1809.02838, 2018 | | 2018 |
| A Tool for Predicting the Dark Side of Enzymes L Liu, S Hassoun Proceedings of the 8th ACM International Conference on Bioinformatics …, 2017 | | 2017 |
