Publications

Ningyi Liao, Haoyu Liu, Zulun Zhu, Siqiang Luo, Laks V.S. Lakshmanan. A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness. In Proceedings of the ACM on Management of Data, 3(4), (SIGMOD 2026) 2026.

Yuxin Qi, Xi Lin, Jiani Zhu, Ningyi Liao, Jianhua Li. Hiding in the Network: Attribute-Oriented Differential Privacy for Graph Neural Networks. In IEEE Transactions on Information Forensics and Security 20(2025): 7998–8013, (TIFS 2025) 2025.

Haoyu Liu, Ningyi Liao, Siqiang Luo. SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation. In IEEE 41th International Conference on Data Engineering : 1924–1937, (ICDE 2025) 2025.

Ningyi Liao, Zihao Yu, Ruixiao Zeng, Siqiang Luo. Unifews: You Need Fewer Operations for Efficient Graph Neural Networks. In 42nd International Conference on Machine Learning, (ICML 2025) 2025.

Ningyi Liao, Siqiang Luo, Xiaokui Xiao, Reynold Cheng. Advances in Designing Scalable Graph Neural Networks: The Perspective of Graph Data Management. In ACM 2025 International Conference on Management of Data: 844–850, (SIGMOD 2025 Tutorial) 2025.

Zihao Yu, Ningyi Liao, Siqiang Luo. GENTI: GPU-powered Walk-based Subgraph Extraction for Scalable Representation Learning on Dynamic Graphs. In Proceedings of the VLDB Endowment, 17(9): 2269–2278, (VLDB 2024 | PREMIA Award) 2024.

Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin. Scalable Decoupling Graph Neural Networks with Feature-Oriented Optimization. The VLDB Journal 33(3): 667–683, 2023.

Ningyi Liao, Siqiang Luo, Xiang Li, Jieming Shi. LD²: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings. In Advances in Neural Information Processing Systems 36 : 10197–10209, (NeurIPS 2023) 2023.

Kai Siong Yow, Ningyi Liao, Siqiang Luo, Reynold Cheng. Machine Learning for Subgraph Extraction: Methods, Applications and Challenges. In Proceedings of the VLDB Endowment Tutorial, 16(12): 3864–3867, (VLDB 2023 Tutorial) 2023.

Ningyi Liao. Scaling up Graph Neural Networks. PhD Confirmation for Admission Report, 2023.

Jun Xuan Yew, Ningyi Liao, Dingheng Mo, Siqiang Luo. Example Searcher: A Spatial Query System via Example. In IEEE 39th International Conference on Data Engineering: 3635–3638, (ICDE 2023 Demo) 2023.

Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin. SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization. In Proceedings of the VLDB Endowment, 15(11): 3240–3248, (VLDB 2022) 2022.

Ningyi Liao, Dingheng Mo, Siqiang Luo. SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization. Singapore Provisional No. 10202203849U, 2022.

Kai Siong Yow, Ningyi Liao, Siqiang Luo, Reynold Cheng, Chenhao Ma, Xiaolin Han. A Survey on Machine Learning Solutions for Graph Pattern Extraction. arXiv:2204.01057, 2022.

Ningyi Liao, Shufan Wang, Liyao Xiang, Nanyang Ye, Shuo Shao, Pengzhi Chu. Achieving Adversarial Robustness via Sparsity. Machine Learning 111: 685–711, 2022.

Ningyi Liao. Network Compression in Federated Machine Learning. Bachelor Thesis, 2021.