Tsz Nam Chan
Orcid: 0000-0001-5851-7967Affiliations:
- Shenzhen University, China
- University of Hong Kong, Hong Kong, SAR, China (former)
According to our database1,
Tsz Nam Chan
authored at least 30 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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on orcid.org
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on dl.acm.org
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Bibliography
2024
Proc. VLDB Endow., February, 2024
PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM (Extended abstract).
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Knowl. Data Eng., October, 2023
Proc. ACM Manag. Data, 2023
PyNKDV: An Efficient Network Kernel Density Visualization Library for Geospatial Analytic Systems.
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023
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.
IEEE Trans. Knowl. Data Eng., 2022
IEEE Trans. Knowl. Data Eng., 2022
Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration.
IEEE Trans. Image Process., 2022
Proc. VLDB Endow., 2022
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
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.
IEEE Trans. Knowl. Data Eng., 2021
Detail-Preserving Multi-Exposure Fusion With Edge-Preserving Structural Patch Decomposition.
IEEE Trans. Circuits Syst. Video Technol., 2021
Proc. VLDB Endow., 2021
KDV-Explorer: A Near Real-Time Kernel Density Visualization System for Spatial Analysis.
Proc. VLDB Endow., 2021
SWS: A Complexity-Optimized Solution for Spatial-Temporal Kernel Density Visualization.
Proc. VLDB Endow., 2021
SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization.
Proc. VLDB Endow., 2021
PolyFit: Polynomial-based Indexing Approach for Fast Approximate Range Aggregate Queries.
Proceedings of the 24th International Conference on Extending Database Technology, 2021
2020
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).
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
2019
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
2017
IEEE Trans. Knowl. Data Eng., 2017
Proceedings of the 2017 ACM International Conference on Management of Data, 2017
2015
Proceedings of the Advances in Spatial and Temporal Databases, 2015