| 2026 | ICDE | PLAN: Fast and Approximate Gaussian Kernel Density Visualization in Road Networks. | Tsz Nam Chan, Hongwei Ye, Bojian Zhu, Leong Hou U, Dingming Wu, Ruisheng Wang, Joshua Zhexue Huang |
| 2026 | ICDE | A Fast, Versatile, and User-Friendly Plugin for Kernel Density Analysis. | Tsz Nam Chan, Bojian Zhu, Leong Hou U, Dingming Wu, Wei Tu, Jianliang Xu |
| 2026 | ICDE | DNA: A Distribution-and-Aggregation Solution for Spatiotemporal K-Function-Based Analysis. | Tsz Nam Chan, Bojian Zhu, Dingming Wu, Renchi Yang, Ruisheng Wang |
| 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 | Spatially Compact Dense Block Mining in Spatial Tensors. | Weike Tang, Dingming Wu, Tsz Nam Chan, Kezhong Lu |
| 2025 | KDD | A Fast and Accurate Block Compression Solution for Spatiotemporal Kernel Density Visualization. | Yue Zhong, Tsz Nam Chan, Leong Hou U, Dingming Wu, Wei Tu, Ruisheng Wang, Joshua Zhexue Huang |
| 2025 | SIGMOD | A Fast Line Density Visualization Plugin for Geographic Information Systems. | Tsz Nam Chan, Bojian Zhu, Dingming Wu, Yun Peng, Leong Hou U, Wei Tu, Ruisheng Wang |
| 2024 | AAAI | A Computation-Aware Shape Loss Function for Point Cloud Completion. | Shunran Zhang, Xiubo Zhang, Tsz Nam Chan, Shenghui Zhang, Leong Hou U |
| 2024 | ICDE | PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM (Extended abstract). | Tsz Nam Chan, Zhe Li, Leong Hou U, Reynold Cheng |
| 2024 | ICDM | HFGNN: Efficient Graph Neural Networks Using Hub-Fringe Structures. | Pak Lon Ip, Shenghui Zhang, Xuekai Wei, Tsz Nam Chan, Leong Hou U |
| 2024 | KDD | Effective Clustering on Large Attributed Bipartite Graphs. | Renchi Yang, Yidu Wu, Xiaoyang Lin, Qichen Wang, Tsz Nam Chan, Jieming Shi |
| 2023 | MDM | Kernel Density Visualization for Big Geospatial Data: Algorithms and Applications. | Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu, Reynold Cheng |
| 2023 | SIGMOD | Large-scale Geospatial Analytics: Problems, Challenges, and Opportunities. | Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu, Reynold Cheng |
| 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 |
| 2022 | ICDE | PAW: Data Partitioning Meets Workload Variance. | Zhe Li, Man Lung Yiu, Tsz Nam Chan |
| 2022 | ICDE | LAN: Learning-based Approximate k-Nearest Neighbor Search in Graph Databases. | Yun Peng, Byron Choi, Tsz Nam Chan, Jianliang Xu |
| 2022 | SIGMOD | SLAM: Efficient Sweep Line Algorithms for Kernel Density Visualization. | Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu |
| 2021 | EDBT | PolyFit: Polynomial-based Indexing Approach for Fast Approximate Range Aggregate Queries. | Zhe Li, Tsz Nam Chan, Man Lung Yiu, Christian S. Jensen |
| 2020 | ICDE | The Power of Bounds: Answering Approximate Earth Mover's Distance with Parametric Bounds (Extended abstract). | Tsz Nam Chan, Man Lung Yiu, Leong Hou U |
| 2020 | SIGMOD | QUAD: Quadratic-Bound-based Kernel Density Visualization. | Tsz Nam Chan, Reynold Cheng, Man Lung Yiu |
| 2019 | ICDE | KARL: Fast Kernel Aggregation Queries. | Tsz Nam Chan, Man Lung Yiu, Leong Hou U |
| 2017 | SIGMOD | FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems. | Hui Li, Tsz Nam Chan, Man Lung Yiu, Nikos Mamoulis |