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2020 – today
- 2025
[j7]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. Proc. ACM Manag. Data 3(4): 238:1-238:29 (2025)- [j6]Yuxin Qi, Xi Lin, Jiani Zhu, Ningyi Liao, Jianhua Li:
Hiding in the Network: Attribute-Oriented Differential Privacy for Graph Neural Networks. IEEE Trans. Inf. Forensics Secur. 20: 7998-8013 (2025) - [c5]Haoyu Liu, Ningyi Liao, Siqiang Luo:
SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation. ICDE 2025: 1924-1937 - [c4]Ningyi Liao, Zihao Yu, Ruixiao Zeng, Siqiang Luo:
Unifews: You Need Fewer Operations for Efficient Graph Neural Networks. ICML 2025 - [c3]Ningyi Liao, Siqiang Luo, Xiaokui Xiao, Reynold Cheng:
Advances in Designing Scalable Graph Neural Networks: The Perspective of Graph Data Management. SIGMOD Conference Companion 2025: 844-850 - [i8]Weiping Yu, Ningyi Liao, Siqiang Luo, Junfeng Liu:
RAGDoll: Efficient Offloading-based Online RAG System on a Single GPU. CoRR abs/2504.15302 (2025) - [i7]Ivan Khai Ze Lim, Ningyi Liao, Yiming Yang, Gerald Wei Yong Yip, Siqiang Luo:
SEQ-GPT: LLM-assisted Spatial Query via Example. CoRR abs/2508.10486 (2025) - 2024
- [j5]Zihao Yu, Ningyi Liao, Siqiang Luo:
GENTI: GPU-powered Walk-based Subgraph Extraction for Scalable Representation Learning on Dynamic Graphs. Proc. VLDB Endow. 17(9): 2269-2278 (2024) - [j4]Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin:
Scalable decoupling graph neural network with feature-oriented optimization. VLDB J. 33(3): 667-683 (2024) - [i6]Ningyi Liao, Zihao Yu, Siqiang Luo:
Unifews: Unified Entry-Wise Sparsification for Efficient Graph Neural Network. CoRR abs/2403.13268 (2024) - [i5]Ningyi Liao, Haoyu Liu, Zulun Zhu, Siqiang Luo, Laks V. S. Lakshmanan:
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency. CoRR abs/2406.09675 (2024) - [i4]Ningyi Liao, Zihao Yu, Siqiang Luo:
DHIL-GT: Scalable Graph Transformer with Decoupled Hierarchy Labeling. CoRR abs/2412.04738 (2024) - 2023
- [j3]Kai Siong Yow, Ningyi Liao, Siqiang Luo, Reynold Cheng:
Machine Learning for Subgraph Extraction: Methods, Applications and Challenges. Proc. VLDB Endow. 16(12): 3864-3867 (2023) - [c2]Jun Xuan Yew, Ningyi Liao, Dingheng Mo, Siqiang Luo:
Example Searcher: A Spatial Query System via Example. ICDE 2023: 3635-3638 - [c1]Ningyi Liao, Siqiang Luo, Xiang Li, Jieming Shi:
LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings. NeurIPS 2023 - [i3]Haoyu Liu, Ningyi Liao, Siqiang Luo:
SIMGA: A Simple and Effective Heterophilous Graph Neural Network with Efficient Global Aggregation. CoRR abs/2305.09958 (2023) - 2022
- [j2]Ningyi Liao, Shufan Wang, Liyao Xiang, Nanyang Ye, Shuo Shao, Pengzhi Chu:
Achieving adversarial robustness via sparsity. Mach. Learn. 111(2): 685-711 (2022) - [j1]Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin:
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization. Proc. VLDB Endow. 15(11): 3240-3248 (2022) - [i2]Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin:
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization. CoRR abs/2207.09179 (2022) - 2020
- [i1]Shufan Wang, Ningyi Liao, Liyao Xiang, Nanyang Ye, Quanshi Zhang:
Achieving Adversarial Robustness via Sparsity. CoRR abs/2009.05423 (2020)
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