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Tsz Nam Chan

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affiliation: Shenzhen University, China
affiliation (former): University of Hong Kong, Hong Kong, SAR, China

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2020 – today

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2024
[j15]
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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)
[c13]
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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
2023
[j14]
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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): 54:1-54:27 (2023)
[j13]
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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): 9985-9997 (2023)
[c12]
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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]
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Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu, Reynold Cheng:
Large-scale Geospatial Analytics: Problems, Challenges, and Opportunities. SIGMOD Conference Companion 2023: 21-29
[c10]
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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: 99-102
2022
[j12]
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Tsz Nam Chan, Leong Hou U, Yun Peng, Byron Choi, Jianliang Xu:
Fast Network K-function-based Spatial Analysis. Proc. VLDB Endow. 15(11): 2853-2866 (2022)
[j11]
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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): 3606-3609 (2022)
[j10]
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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: 2661-2672 (2022)
[j9]
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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): 2726-2739 (2022)
[j8]
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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): 4172-4185 (2022)
[c9]
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Zhe Li, Man Lung Yiu, Tsz Nam Chan:
PAW: Data Partitioning Meets Workload Variance. ICDE 2022: 123-135
[c8]
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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]
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Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu:
SLAM: Efficient Sweep Line Algorithms for Kernel Density Visualization. SIGMOD Conference 2022: 2120-2134
2021
[j7]
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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): 1503-1516 (2021)
[j6]
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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): 2655-2658 (2021)
[j5]
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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): 513-526 (2021)
[j4]
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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): 814-827 (2021)
[j3]
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  - journals/tcsv/LiCQX21
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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): 4293-4304 (2021)
[j2]
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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): 768-781 (2021)
[c6]
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  - conf/edbt/0011CYJ21
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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]
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  - journals/corr/abs-2107-06211
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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]
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  - conf/icde/ChanYU20
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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: 2022-2023
[c4]
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Tsz Nam Chan, Reynold Cheng, Man Lung Yiu:
QUAD: Quadratic-Bound-based Kernel Density Visualization. SIGMOD Conference 2020: 35-50
[i1]
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  - journals/corr/abs-2003-08031
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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

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2019
[c3]
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  - conf/icde/ChanYU19
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Tsz Nam Chan, Man Lung Yiu, Leong Hou U:
KARL: Fast Kernel Aggregation Queries. ICDE 2019: 542-553
2017
[j1]
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  - journals/tkde/ChanYH17
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Tsz Nam Chan, Man Lung Yiu, Kien A. Hua:
Efficient Sub-Window Nearest Neighbor Search on Matrix. IEEE Trans. Knowl. Data Eng. 29(4): 784-797 (2017)
[c2]
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Hui Li, Tsz Nam Chan, Man Lung Yiu, Nikos Mamoulis:
FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems. SIGMOD Conference 2017: 835-850
2015
[c1]
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  - conf/ssd/ChanYH15
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Tsz Nam Chan, Man Lung Yiu, Kien A. Hua:
A Progressive Approach for Similarity Search on Matrix. SSTD 2015: 373-390

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