A Progressive Approach for Similarity Search on Matrix. - Tsz Nam Chan; Man Lung Yiu; Kien A. Hua (SSTD, 2015)

FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems. - Hui Li 057; Tsz Nam Chan; Man Lung Yiu; Nikos Mamoulis (SIGMOD Conference, 2017)

Efficient Sub-Window Nearest Neighbor Search on Matrix. - Tsz Nam Chan; Man Lung Yiu; Kien A. Hua (IEEE Trans. Knowl. Data Eng., 2017)

KARL: Fast Kernel Aggregation Queries. - Tsz Nam Chan; Man Lung Yiu; Leong Hou U (ICDE, 2019)

The Power of Bounds: Answering Approximate Earth Mover's Distance with Parametric Bounds (Extended abstract). - Tsz Nam Chan; Man Lung Yiu; Leong Hou U (ICDE, 2020)

QUAD: Quadratic-Bound-based Kernel Density Visualization. - Tsz Nam Chan; Reynold Cheng; Man Lung Yiu (SIGMOD Conference, 2020)

PolyFit: Polynomial-based Indexing Approach for Fast Approximate Range Aggregate Queries. - Zhe Li 011; Tsz Nam Chan; Man Lung Yiu; Christian S. Jensen (EDBT, 2021)

SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization. - Tsz Nam Chan; Pak Lon Ip; Leong Hou U; Byron Choi; Jianliang Xu (Proc. VLDB Endow., 2021)

SWS: A Complexity-Optimized Solution for Spatial-Temporal Kernel Density Visualization. - Tsz Nam Chan; Pak Lon Ip; Leong Hou U; Byron Choi; Jianliang Xu (Proc. VLDB Endow., 2021)

KDV-Explorer: A Near Real-Time Kernel Density Visualization System for Spatial Analysis. - Tsz Nam Chan; Pak Lon Ip; Leong Hou U; Weng Hou Tong; Shivansh Mittal; Ye Li 002; Reynold Cheng (Proc. VLDB Endow., 2021)

Fast Augmentation Algorithms for Network Kernel Density Visualization. - Tsz Nam Chan; Zhe Li 011; Leong Hou U; Jianliang Xu; Reynold Cheng (Proc. VLDB Endow., 2021)

Detail-Preserving Multi-Exposure Fusion With Edge-Preserving Structural Patch Decomposition. - Hui Li 029; Tsz Nam Chan; Xianbiao Qi; Wuyuan Xie (IEEE Trans. Circuits Syst. Video Technol., 2021)

The Power of Bounds: Answering Approximate Earth Mover's Distance with Parametric Bounds. - Tsz Nam Chan; Man Lung Yiu; Leong Hou U (IEEE Trans. Knowl. Data Eng., 2021)

PAW: Data Partitioning Meets Workload Variance. - Zhe Li 011; Man Lung Yiu; Tsz Nam Chan (ICDE, 2022)

LAN: Learning-based Approximate k-Nearest Neighbor Search in Graph Databases. - Yun Peng 002; Byron Choi; Tsz Nam Chan; Jianliang Xu (ICDE, 2022)

SLAM: Efficient Sweep Line Algorithms for Kernel Density Visualization. - Tsz Nam Chan; Leong Hou U; Byron Choi; Jianliang Xu (SIGMOD Conference, 2022)

LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics. - Tsz Nam Chan; Pak Lon Ip; Kaiyan Zhao; Leong Hou U; Byron Choi; Jianliang Xu (Proc. VLDB Endow., 2022)

Fast Network K-function-based Spatial Analysis. - Tsz Nam Chan; Leong Hou U; Yun Peng 002; Byron Choi; Jianliang Xu (Proc. VLDB Endow., 2022)

Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration. - Jie Chen 026; Zaifeng Yang; Tsz Nam Chan; Hui Li 029; Junhui Hou; Lap-Pui Chau (IEEE Trans. Image Process., 2022)

Efficient Algorithms for Kernel Aggregation Queries. - Tsz Nam Chan; Leong Hou U; Reynold Cheng; Man Lung Yiu; Shivansh Mittal (IEEE Trans. Knowl. Data Eng., 2022)

Effective and Efficient Discovery of Top-k Meta Paths in Heterogeneous Information Networks. - Zichen Zhu; Tsz Nam Chan; Reynold Cheng; Loc Do; Zhipeng Huang 001; Haoci Zhang (IEEE Trans. Knowl. Data Eng., 2022)

Kernel Density Visualization for Big Geospatial Data: Algorithms and Applications. - Tsz Nam Chan; Leong Hou U; Byron Choi; Jianliang Xu; Reynold Cheng (MDM, 2023)

Large-scale Geospatial Analytics: Problems, Challenges, and Opportunities. - Tsz Nam Chan; Leong Hou U; Byron Choi; Jianliang Xu; Reynold Cheng (SIGMOD Conference Companion, 2023)

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 (SIGMOD Conference Companion, 2023)

Efficient Approximate Nearest Neighbor Search in Multi-dimensional Databases. - Yun Peng 002; Byron Choi; Tsz Nam Chan; Jianye Yang 001; Jianliang Xu (Proc. ACM Manag. Data, 2023)

PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM. - Tsz Nam Chan; Zhe Li 011; Leong Hou U; Reynold Cheng (IEEE Trans. Knowl. Data Eng., 2023)

A Computation-Aware Shape Loss Function for Point Cloud Completion. - Shunran Zhang; Xiubo Zhang; Tsz Nam Chan; Shenghui Zhang; Leong Hou U (AAAI, 2024)

PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM (Extended abstract). - Tsz Nam Chan; Zhe Li 011; Leong Hou U; Reynold Cheng (ICDE, 2024)

HFGNN: Efficient Graph Neural Networks Using Hub-Fringe Structures. - Pak Lon Ip; Shenghui Zhang; Xuekai Wei; Tsz Nam Chan; Leong Hou U (ICDM, 2024)

Effective Clustering on Large Attributed Bipartite Graphs. - Renchi Yang; Yidu Wu; Xiaoyang Lin; Qichen Wang 001; Tsz Nam Chan; Jieming Shi 001 (KDD, 2024)

LION: Fast and High-Resolution Network Kernel Density Visualization. - Tsz Nam Chan; Rui Zang; Bojian Zhu; Leong Hou U; Dingming Wu 001; Jianliang Xu (Proc. VLDB Endow., 2024)

Efficient and Accurate PageRank Approximation on Large Graphs. - Siyue Wu; Dingming Wu 001; Junyi Quan; Tsz Nam Chan; Kezhong Lu (Proc. ACM Manag. Data, 2024)

LARGE: A Length-Aggregation-based Grid Structure for Line Density Visualization. - Tsz Nam Chan; Bojian Zhu; Dingming Wu 001; Yun Peng 002; Leong Hou U (Proc. VLDB Endow., 2024)

Large-Scale Spatiotemporal Kernel Density Visualization. - Tsz Nam Chan; Pak Lon Ip; Bojian Zhu; Leong Hou U; Dingming Wu 001; Jianliang Xu; Christian S. Jensen (ICDE, 2025)

Spatially Compact Dense Block Mining in Spatial Tensors. - Weike Tang; Dingming Wu 001; Tsz Nam Chan; Kezhong Lu (KDD (1), 2025)

A Fast Line Density Visualization Plugin for Geographic Information Systems. - Tsz Nam Chan; Bojian Zhu; Dingming Wu 001; Yun Peng 002; Leong Hou U; Wei Tu 001; Ruisheng Wang 001 (SIGMOD Conference Companion, 2025)

An enhanced network for extracting tunnel lining defects using transformer encoder and aggregate decoder. - Bo Guo; Zhihai Huang; Haitao Luo; Perpetual Hope Akwensi; Ruisheng Wang 001; Bo Huang 001; Tsz Nam Chan (Int. J. Appl. Earth Obs. Geoinformation, 2025)

GREAT: Generalized Reservoir Sampling based Triangle Counting Estimation over Streaming Graphs. - Siyue Wu; Dingming Wu 001; Sinhong Cheuk; Tsz Nam Chan; Kezhong Lu (Proc. VLDB Endow., 2025)