| 2026 | AAAI | Connectivity-Guided Sparsification of 2-FWL GNNs: Preserving Full Expressivity with Improved Efficiency. | Rongqin Chen, Fan Mo, Pak Lon Ip, Shenghui Zhang, Dan Wu, Ye Li, Leong Hou U |
| 2025 | AAAI | Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification. | Zijie Zhou, Zhaoqi Lu, Xuekai Wei, Rongqin Chen, Shenghui Zhang, Pak Lon Ip, Leong Hou U |
| 2025 | CIKM | Advancing Graph Isomorphism Tests with Metric Space Indicators: A Tool for Improving Graph Learning Tasks. | Shenghui Zhang, Pak Lon Ip, Rongqin Chen, Shunran Zhang, Leong Hou U |
| 2025 | ICDE | Large-Scale Spatiotemporal Kernel Density Visualization. | Tsz Nam Chan, Pak Lon Ip, Bojian Zhu, Leong Hou U, Dingming Wu, Jianliang Xu, Christian S. Jensen |
| 2025 | KDD | Enhanced Subgraph Learning in 2-FWL GNNs via Local Connectivity, Spectral, and Distance Encodings. | Rongqin Chen, Yan Li, Dan Wu, Fan Mo, Shenghui Zhang, Pak Lon Ip, Hoi Cheong Iam, Ye Li, Leong Hou U |
| 2024 | ICDM | HFGNN: Efficient Graph Neural Networks Using Hub-Fringe Structures. | Pak Lon Ip, Shenghui Zhang, Xuekai Wei, Tsz Nam Chan, Leong Hou U |
| 2023 | SIGMOD | PyNKDV: An Efficient Network Kernel Density Visualization Library for Geospatial Analytic Systems. | Tsz Nam Chan, Rui Zang, Pak Lon Ip, Leong Hou U, Jianliang Xu |