| Achieving adversarial robustness via sparsity N Liao, S Wang, L Xiang, N Ye, S Shao, P Chu Machine Learning, 1-27, 2022 | 14 | 2022 |
| SCARA: scalable graph neural networks with feature-oriented optimization N Liao, D Mo, S Luo, X Li, P Yin arXiv preprint arXiv:2207.09179, 2022 | 9 | 2022 |
| Simga: A simple and effective heterophilous graph neural network with efficient global aggregation H Liu, N Liao, S Luo arXiv preprint arXiv:2305.09958, 2023 | 5 | 2023 |
| LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings N Liao, S Luo, X Li, J Shi Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Scalable decoupling graph neural network with feature-oriented optimization N Liao, D Mo, S Luo, X Li, P Yin The VLDB Journal 33 (3), 667-683, 2024 | 2 | 2024 |
| A Survey on Machine Learning Solutions for Graph Pattern Extraction KS Yow, N Liao, S Luo, R Cheng, C Ma, X Han arXiv preprint arXiv:2204.01057, 2022 | 1 | 2022 |
| Unifews: Unified Entry-Wise Sparsification for Efficient Graph Neural Network N Liao, Z Yu, S Luo arXiv preprint arXiv:2403.13268, 2024 | | 2024 |
| Machine Learning for Subgraph Extraction: Methods, Applications and Challenges KS Yow, N Liao, S Luo, R Cheng Proceedings of the VLDB Endowment 16 (12), 3864-3867, 2023 | | 2023 |
| Example Searcher: A Spatial Query System via Example JX Yew, N Liao, D Mo, S Luo 2023 IEEE 39th International Conference on Data Engineering (ICDE), 3635-3638, 2023 | | 2023 |
