Tsz Nam Chan

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 32

Top Topics

Aggregation Queries

Nearest Neighbor Search

Top Venues

Proc. VLDB Endow.

IEEE Trans. Knowl. Data Eng.

Publications

Renchi Yang, Yidu Wu, Xiaoyang Lin, Qichen Wang, Tsz Nam Chan, Jieming Shi
Effective Clustering on Large Attributed Bipartite Graphs. KDD (2024)
Tsz Nam Chan, Rui Zang, Bojian Zhu, Leong Hou U, Dingming Wu, Jianliang Xu
LION: Fast and High-Resolution Network Kernel Density Visualization. Proc. VLDB Endow. 17 (6) (2024)
Shunran Zhang, Xiubo Zhang, Tsz Nam Chan, Shenghui Zhang, Leong Hou U
A Computation-Aware Shape Loss Function for Point Cloud Completion. AAAI (2024)
Renchi Yang, Yidu Wu, Xiaoyang Lin, Qichen Wang, Tsz Nam Chan, Jieming Shi
Effective Clustering on Large Attributed Bipartite Graphs. CoRR (2024)
Tsz Nam Chan, Zhe Li, Leong Hou U, Reynold Cheng
PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM (Extended abstract). ICDE (2024)
Tsz Nam Chan, Zhe Li, Leong Hou U, Reynold Cheng
PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Tsz Nam Chan, Rui Zang, Pak Lon Ip, Leong Hou U, Jianliang Xu
PyNKDV: An Efficient Network Kernel Density Visualization Library for Geospatial Analytic Systems. SIGMOD Conference Companion (2023)
Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu, Reynold Cheng
Kernel Density Visualization for Big Geospatial Data: Algorithms and Applications. MDM (2023)
Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu, Reynold Cheng
Large-scale Geospatial Analytics: Problems, Challenges, and Opportunities. SIGMOD Conference Companion (2023)
Yun Peng, Byron Choi, Tsz Nam Chan, Jianye Yang, Jianliang Xu
Efficient Approximate Nearest Neighbor Search in Multi-dimensional Databases. Proc. ACM Manag. Data 1 (1) (2023)
Yun Peng, Byron Choi, Tsz Nam Chan, Jianliang Xu
LAN: Learning-based Approximate k-Nearest Neighbor Search in Graph Databases. ICDE (2022)
Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu
SLAM: Efficient Sweep Line Algorithms for Kernel Density Visualization. SIGMOD Conference (2022)
Zhe Li, Man Lung Yiu, Tsz Nam Chan
PAW: Data Partitioning Meets Workload Variance. ICDE (2022)
Jie Chen, Zaifeng Yang, Tsz Nam Chan, Hui Li, Junhui Hou, Lap-Pui Chau
Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration. IEEE Trans. Image Process. 31 (2022)
Tsz Nam Chan, Pak Lon Ip, Kaiyan Zhao, Leong Hou U, Byron Choi, Jianliang Xu
LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics. Proc. VLDB Endow. 15 (12) (2022)
Tsz Nam Chan, Leong Hou U, Reynold Cheng, Man Lung Yiu, Shivansh Mittal
Efficient Algorithms for Kernel Aggregation Queries. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Zichen Zhu, Tsz Nam Chan, Reynold Cheng, Loc Do, Zhipeng Huang, Haoci Zhang
Effective and Efficient Discovery of Top-k Meta Paths in Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 34 (9) (2022)
Tsz Nam Chan, Leong Hou U, Yun Peng, Byron Choi, Jianliang Xu
Fast Network K-function-based Spatial Analysis. Proc. VLDB Endow. 15 (11) (2022)
Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Weng Hou Tong, Shivansh Mittal, Ye Li, Reynold Cheng
KDV-Explorer: A Near Real-Time Kernel Density Visualization System for Spatial Analysis. Proc. VLDB Endow. 14 (12) (2021)
Hui Li, Tsz Nam Chan, Xianbiao Qi, Wuyuan Xie
Detail-Preserving Multi-Exposure Fusion With Edge-Preserving Structural Patch Decomposition. IEEE Trans. Circuits Syst. Video Technol. 31 (11) (2021)
Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Byron Choi, Jianliang Xu
SWS: A Complexity-Optimized Solution for Spatial-Temporal Kernel Density Visualization. Proc. VLDB Endow. 15 (4) (2021)
Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Byron Choi, Jianliang Xu
SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization. Proc. VLDB Endow. 15 (3) (2021)
Tsz Nam Chan, Man Lung Yiu, Leong Hou U
The Power of Bounds: Answering Approximate Earth Mover's Distance with Parametric Bounds. IEEE Trans. Knowl. Data Eng. 33 (2) (2021)
Tsz Nam Chan, Zhe Li, Leong Hou U, Jianliang Xu, Reynold Cheng
Fast Augmentation Algorithms for Network Kernel Density Visualization. Proc. VLDB Endow. 14 (9) (2021)
Zhe Li, Tsz Nam Chan, Man Lung Yiu, Christian S. Jensen
PolyFit: Polynomial-based Indexing Approach for Fast Approximate Range Aggregate Queries. EDBT (2021)
Jie Chen, Zaifeng Yang, Tsz Nam Chan, Hui Li, Junhui Hou, Lap-Pui Chau
Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration. CoRR (2021)
Tsz Nam Chan, Man Lung Yiu, Leong Hou U
The Power of Bounds: Answering Approximate Earth Mover's Distance with Parametric Bounds (Extended abstract). ICDE (2020)
Zhe Li, Tsz Nam Chan, Man Lung Yiu, Christian S. Jensen
PolyFit: Polynomial-based Indexing Approach for Fast Approximate Range Aggregate Queries. CoRR (2020)
Tsz Nam Chan, Reynold Cheng, Man Lung Yiu
QUAD: Quadratic-Bound-based Kernel Density Visualization. SIGMOD Conference (2020)
Tsz Nam Chan, Man Lung Yiu, Leong Hou U
KARL: Fast Kernel Aggregation Queries. ICDE (2019)
Tsz Nam Chan, Man Lung Yiu, Kien A. Hua
Efficient Sub-Window Nearest Neighbor Search on Matrix. IEEE Trans. Knowl. Data Eng. 29 (4) (2017)
Hui Li, Tsz Nam Chan, Man Lung Yiu, Nikos Mamoulis
FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems. SIGMOD Conference (2017)
Tsz Nam Chan, Man Lung Yiu, Kien A. Hua
A Progressive Approach for Similarity Search on Matrix. SSTD (2015)