Achieving Adversarial Robustness via Sparsity. - Shufan Wang; Ningyi Liao; Liyao Xiang; Nanyang Ye 001; Quanshi Zhang (CoRR, 2020)

Achieving adversarial robustness via sparsity. - Ningyi Liao; Shufan Wang; Liyao Xiang; Nanyang Ye 001; Shuo Shao; Pengzhi Chu (Mach. Learn., 2022)

SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization. - Ningyi Liao; Dingheng Mo; Siqiang Luo; Xiang Li 067; Pengcheng Yin (Proc. VLDB Endow., 2022)

Example Searcher: A Spatial Query System via Example. - Jun Xuan Yew; Ningyi Liao; Dingheng Mo; Siqiang Luo (ICDE, 2023)

LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings. - Ningyi Liao; Siqiang Luo; Xiang Li 067; Jieming Shi 001 (NeurIPS, 2023)

SIMGA: A Simple and Effective Heterophilous Graph Neural Network with Efficient Global Aggregation. - Haoyu Liu; Ningyi Liao; Siqiang Luo (CoRR, 2023)

Machine Learning for Subgraph Extraction: Methods, Applications and Challenges. - Kai Siong Yow; Ningyi Liao; Siqiang Luo; Reynold Cheng (Proc. VLDB Endow., 2023)

Unifews: Unified Entry-Wise Sparsification for Efficient Graph Neural Network. - Ningyi Liao; Zihao Yu; Siqiang Luo (CoRR, 2024)

Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency. - Ningyi Liao; Haoyu Liu; Zulun Zhu; Siqiang Luo; Laks V. S. Lakshmanan (CoRR, 2024)

DHIL-GT: Scalable Graph Transformer with Decoupled Hierarchy Labeling. - Ningyi Liao; Zihao Yu; Siqiang Luo (CoRR, 2024)

GENTI: GPU-powered Walk-based Subgraph Extraction for Scalable Representation Learning on Dynamic Graphs. - Zihao Yu; Ningyi Liao; Siqiang Luo (Proc. VLDB Endow., 2024)

Scalable decoupling graph neural network with feature-oriented optimization. - Ningyi Liao; Dingheng Mo; Siqiang Luo; Xiang Li 067; Pengcheng Yin (VLDB J., 2024)

SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation. - Haoyu Liu; Ningyi Liao; Siqiang Luo (ICDE, 2025)

Advances in Designing Scalable Graph Neural Networks: The Perspective of Graph Data Management. - Ningyi Liao; Siqiang Luo; Xiaokui Xiao; Reynold Cheng (SIGMOD Conference Companion, 2025)

Hiding in the Network: Attribute-Oriented Differential Privacy for Graph Neural Networks. - Yuxin Qi; Xi Lin 003; Jiani Zhu; Ningyi Liao; Jianhua Li 001 (IEEE Trans. Inf. Forensics Secur., 2025)

RAGDoll: Efficient Offloading-based Online RAG System on a Single GPU. - Weiping Yu; Ningyi Liao; Siqiang Luo; Junfeng Liu 001 (CoRR, 2025)

SEQ-GPT: LLM-assisted Spatial Query via Example. - Ivan Khai Ze Lim; Ningyi Liao; Yiming Yang; Gerald Wei Yong Yip; Siqiang Luo (CoRR, 2025)