Pyramid Pooling Module-Based Semi-Siamese Network: A Benchmark Model for Assessing Building Damage from xBD Satellite Imagery Datasets. - Yanbing Bai; Junjie Hu 003; Jinhua Su; Xing Liu; Haoyu Liu 001; Xianwen He; Shengwang Meng; Erick Mas; Shunichi Koshimura (Remote. Sens., 2020)

Nightlight as a Proxy of Economic Indicators: Fine-Grained GDP Inference Around Mainland China via Attention-Augmented CNN from Daytime Satellite Imagery. - Haoyu Liu 001; Xianwen He; Yanbing Bai; Xing Liu; Yilin Wu; Yanyun Zhao; Hanfang Yang (Remote. Sens., 2021)

Erratum: Liu et al. Nightlight as a Proxy of Economic Indicators: Fine-Grained GDP Inference around Chinese Mainland via Attention-Augmented CNN from Daytime Satellite Imagery. Remote Sens. 2021, 13, 2067. - Haoyu Liu 001; Xianwen He; Yanbing Bai; Xing Liu; Yilin Wu; Yanyun Zhao; Hanfang Yang (Remote. Sens., 2021)

SIMGA: A Simple and Effective Heterophilous Graph Neural Network with Efficient Global Aggregation. - Haoyu Liu 001; Ningyi Liao; Siqiang Luo (CoRR, 2023)

Topology-monitorable Contrastive Learning on Dynamic Graphs. - Zulun Zhu; Kai Wang 057; Haoyu Liu 001; Jintang Li; Siqiang Luo (KDD, 2024)

Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency. - Ningyi Liao; Haoyu Liu 001; Zulun Zhu; Siqiang Luo; Laks V. S. Lakshmanan (CoRR, 2024)

BIRD: Efficient Approximation of Bidirectional Hidden Personalized PageRank. - Haoyu Liu 001; Siqiang Luo (Proc. VLDB Endow., 2024)

SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation. - Haoyu Liu 001; Ningyi Liao; Siqiang Luo (ICDE, 2025)

A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness. - Ningyi Liao; Haoyu Liu 001; Zulun Zhu; Siqiang Luo; Laks V. S. Lakshmanan (Proc. ACM Manag. Data, 2025)

Tighter Lower Bounds for Single Source Personalized PageRank. - Xinpeng Jiang; Haoyu Liu 001; Siqiang Luo; Xiaokui Xiao (CoRR, 2025)

When Deepfake Detection Meets Graph Neural Network:a Unified and Lightweight Learning Framework. - Haoyu Liu 001; Chaoyu Gong; Mengke He; Jiate Li; Kai Han; Siqiang Luo (CoRR, 2025)