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Tsz Nam Chan
Person information
- affiliation: Shenzhen University, China
- affiliation (former): University of Hong Kong, Hong Kong, SAR, China
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2020 – today
- 2024
- [j16]Siyue Wu
, Dingming Wu
Efficient and Accurate PageRank Approximation on Large Graphs. Proc. ACM Manag. Data 2(4): 196:1-196:26 (2024) - [j15]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): 1255-1268 (2024) - [c15]Shunran Zhang, Xiubo Zhang, Tsz Nam Chan, Shenghui Zhang, Leong Hou U:
A Computation-Aware Shape Loss Function for Point Cloud Completion. AAAI 2024: 7287-7295 - [c14]Tsz Nam Chan, Zhe Li, Leong Hou U, Reynold Cheng:
PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM (Extended abstract). ICDE 2024: 5685-5686 - [c13]Renchi Yang
Effective Clustering on Large Attributed Bipartite Graphs. KDD 2024: 3782-3793 - [i3]Renchi Yang, Yidu Wu, Xiaoyang Lin, Qichen Wang, Tsz Nam Chan, Jieming Shi:
Effective Clustering on Large Attributed Bipartite Graphs. CoRR abs/2405.11922 (2024) - 2023
- [j14]Yun Peng
Efficient Approximate Nearest Neighbor Search in Multi-dimensional Databases. Proc. ACM Manag. Data 1(1): 54:1-54:27 (2023) - [j13]Tsz Nam Chan
PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM. IEEE Trans. Knowl. Data Eng. 35(10): 9985-9997 (2023) - [c12]Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu, Reynold Cheng:
Kernel Density Visualization for Big Geospatial Data: Algorithms and Applications. MDM 2023: 231-234 - [c11]Tsz Nam Chan
Large-scale Geospatial Analytics: Problems, Challenges, and Opportunities. SIGMOD Conference Companion 2023: 21-29 - [c10]Tsz Nam Chan
PyNKDV: An Efficient Network Kernel Density Visualization Library for Geospatial Analytic Systems. SIGMOD Conference Companion 2023: 99-102 - 2022
- [j12]Tsz Nam Chan, Leong Hou U
Fast Network K-function-based Spatial Analysis. Proc. VLDB Endow. 15(11): 2853-2866 (2022) - [j11]Tsz Nam Chan, Pak Lon Ip, Kaiyan Zhao, Leong Hou U
LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics. Proc. VLDB Endow. 15(12): 3606-3609 (2022) - [j10]Jie Chen
Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration. IEEE Trans. Image Process. 31: 2661-2672 (2022) - [j9]Tsz Nam Chan
Efficient Algorithms for Kernel Aggregation Queries. IEEE Trans. Knowl. Data Eng. 34(6): 2726-2739 (2022) - [j8]Zichen Zhu
Effective and Efficient Discovery of Top-k Meta Paths in Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 34(9): 4172-4185 (2022) - [c9]Zhe Li, Man Lung Yiu, Tsz Nam Chan:
PAW: Data Partitioning Meets Workload Variance. ICDE 2022: 123-135 - [c8]Yun Peng, Byron Choi, Tsz Nam Chan, Jianliang Xu:
LAN: Learning-based Approximate k-Nearest Neighbor Search in Graph Databases. ICDE 2022: 2508-2521 - [c7]Tsz Nam Chan, Leong Hou U
SLAM: Efficient Sweep Line Algorithms for Kernel Density Visualization. SIGMOD Conference 2022: 2120-2134 - 2021
- [j7]Tsz Nam Chan, Zhe Li, Leong Hou U
Fast Augmentation Algorithms for Network Kernel Density Visualization. Proc. VLDB Endow. 14(9): 1503-1516 (2021) - [j6]Tsz Nam Chan, Pak Lon Ip, Leong Hou U
KDV-Explorer: A Near Real-Time Kernel Density Visualization System for Spatial Analysis. Proc. VLDB Endow. 14(12): 2655-2658 (2021) - [j5]Tsz Nam Chan, Pak Lon Ip, Leong Hou U
SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization. Proc. VLDB Endow. 15(3): 513-526 (2021) - [j4]Tsz Nam Chan, Pak Lon Ip, Leong Hou U
SWS: A Complexity-Optimized Solution for Spatial-Temporal Kernel Density Visualization. Proc. VLDB Endow. 15(4): 814-827 (2021) - [j3]Hui Li
Detail-Preserving Multi-Exposure Fusion With Edge-Preserving Structural Patch Decomposition. IEEE Trans. Circuits Syst. Video Technol. 31(11): 4293-4304 (2021) - [j2]Tsz Nam Chan
The Power of Bounds: Answering Approximate Earth Mover's Distance with Parametric Bounds. IEEE Trans. Knowl. Data Eng. 33(2): 768-781 (2021) - [c6]Zhe Li, Tsz Nam Chan, Man Lung Yiu, Christian S. Jensen
PolyFit: Polynomial-based Indexing Approach for Fast Approximate Range Aggregate Queries. EDBT 2021: 241-252 - [i2]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 abs/2107.06211 (2021) - 2020
- [c5]Tsz Nam Chan
The Power of Bounds: Answering Approximate Earth Mover's Distance with Parametric Bounds (Extended abstract). ICDE 2020: 2022-2023 - [c4]Tsz Nam Chan
QUAD: Quadratic-Bound-based Kernel Density Visualization. SIGMOD Conference 2020: 35-50 - [i1]Zhe Li, Tsz Nam Chan, Man Lung Yiu, Christian S. Jensen:
PolyFit: Polynomial-based Indexing Approach for Fast Approximate Range Aggregate Queries. CoRR abs/2003.08031 (2020)
2010 – 2019
- 2019
- [c3]Tsz Nam Chan
KARL: Fast Kernel Aggregation Queries. ICDE 2019: 542-553 - 2017
- [j1]Tsz Nam Chan
Efficient Sub-Window Nearest Neighbor Search on Matrix. IEEE Trans. Knowl. Data Eng. 29(4): 784-797 (2017) - [c2]Hui Li, Tsz Nam Chan
FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems. SIGMOD Conference 2017: 835-850 - 2015
- [c1]Tsz Nam Chan
A Progressive Approach for Similarity Search on Matrix. SSTD 2015: 373-390
Coauthor Index
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last updated on 2024-11-07 20:33 CET by the dblp team
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