Tsz Nam Chan

According to our database, Tsz Nam Chan authored at least 32 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Bo Huang, Tsz Nam Chan

Int. J. Appl. Earth Obs. Geoinformation, 2025

2024

Efficient and Accurate PageRank Approximation on Large Graphs.

Siyue Wu, Dingming Wu, Junyi Quan, Tsz Nam Chan, Kezhong Lu

Proc. ACM Manag. Data, September, 2024

LION: Fast and High-Resolution Network Kernel Density Visualization.

Tsz Nam Chan, Rui Zang, Bojian Zhu, Leong Hou U, Dingming Wu, Jianliang Xu

Proc. VLDB Endow., February, 2024

Effective Clustering on Large Attributed Bipartite Graphs.

Renchi Yang, Yidu Wu, Xiaoyang Lin, Qichen Wang, Tsz Nam Chan, Jieming Shi

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM (Extended abstract).

Tsz Nam Chan, Zhe Li, Leong Hou U, Reynold Cheng

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

A Computation-Aware Shape Loss Function for Point Cloud Completion.

Shunran Zhang, Xiubo Zhang, Tsz Nam Chan, Shenghui Zhang, Leong Hou U

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM.

Tsz Nam Chan, Zhe Li, Leong Hou U, Reynold Cheng

IEEE Trans. Knowl. Data Eng., October, 2023

Efficient Approximate Nearest Neighbor Search in Multi-dimensional Databases.

Yun Peng, Byron Choi, Tsz Nam Chan, Jianye Yang, Jianliang Xu

Proc. ACM Manag. Data, 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

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Large-scale Geospatial Analytics: Problems, Challenges, and Opportunities.

Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu, Reynold Cheng

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Kernel Density Visualization for Big Geospatial Data: Algorithms and Applications.

Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu, Reynold Cheng

Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

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, Haoci Zhang

IEEE Trans. Knowl. Data Eng., 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

Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration.

Jie Chen, Zaifeng Yang, Tsz Nam Chan, Hui Li, Junhui Hou, Lap-Pui Chau

IEEE Trans. Image Process., 2022

Fast Network K-function-based Spatial Analysis.

Tsz Nam Chan, Leong Hou U, Yun Peng, Byron Choi, Jianliang Xu

Proc. VLDB Endow., 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

SLAM: Efficient Sweep Line Algorithms for Kernel Density Visualization.

Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

LAN: Learning-based Approximate k-Nearest Neighbor Search in Graph Databases.

Yun Peng, Byron Choi, Tsz Nam Chan, Jianliang Xu

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

PAW: Data Partitioning Meets Workload Variance.

Zhe Li, Man Lung Yiu, Tsz Nam Chan

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

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

Detail-Preserving Multi-Exposure Fusion With Edge-Preserving Structural Patch Decomposition.

Hui Li, Tsz Nam Chan, Xianbiao Qi, Wuyuan Xie

IEEE Trans. Circuits Syst. Video Technol., 2021

Fast Augmentation Algorithms for Network Kernel Density Visualization.

Tsz Nam Chan, Zhe Li, Leong Hou U, Jianliang Xu, Reynold Cheng

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, Reynold Cheng

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

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

PolyFit: Polynomial-based Indexing Approach for Fast Approximate Range Aggregate Queries.

Zhe Li, Tsz Nam Chan, Man Lung Yiu, Christian S. Jensen

Proceedings of the 24th International Conference on Extending Database Technology, 2021

2020

QUAD: Quadratic-Bound-based Kernel Density Visualization.

Tsz Nam Chan, Reynold Cheng, Man Lung Yiu

Proceedings of the 2020 International Conference on Management of Data, 2020

The Power of Bounds: Answering Approximate Earth Mover's Distance with Parametric Bounds (Extended abstract).

Tsz Nam Chan, Man Lung Yiu, Leong Hou U

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

KARL: Fast Kernel Aggregation Queries.

Tsz Nam Chan, Man Lung Yiu, Leong Hou U

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2017

Efficient Sub-Window Nearest Neighbor Search on Matrix.

Tsz Nam Chan, Man Lung Yiu, Kien A. Hua

IEEE Trans. Knowl. Data Eng., 2017

FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems.

Hui Li, Tsz Nam Chan, Man Lung Yiu, Nikos Mamoulis

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2015

A Progressive Approach for Similarity Search on Matrix.

Tsz Nam Chan, Man Lung Yiu, Kien A. Hua

Proceedings of the Advances in Spatial and Temporal Databases, 2015