Tsz Nam Chan

44 papers A* 9B 3Journal 24Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Understanding and Guiding Layer Placement in Parameter-Efficient Fine-Tuning of Large Language Models.
CoRR
Yichen Xu, Yuyang Liang, Shan Dai, Tianyang Hu, Tsz Nam Chan, Chenhao Ma
2025 — conf
A Fast Line Density Visualization Plugin for Geographic Information Systems.
SIGMOD Conference Companion
Tsz Nam Chan, Bojian Zhu, Dingming Wu, Yun Peng, Leong Hou U, Wei Tu, Ruisheng Wang
2025 — conf
A Fast and Accurate Block Compression Solution for Spatiotemporal Kernel Density Visualization.
KDD (2)
Yue Zhong, Tsz Nam Chan, Leong Hou U, Dingming Wu, Wei Tu, Ruisheng Wang, Joshua Zhexue Huang
2025 J jnl
An enhanced network for extracting tunnel lining defects using transformer encoder and aggregate decoder.
Int. J. Appl. Earth Obs. Geoinformation
Bo Guo, Zhihai Huang, Haitao Luo, Perpetual Hope Akwensi, Ruisheng Wang, Bo Huang, Tsz Nam Chan
2025 J jnl
GREAT: Generalized Reservoir Sampling based Triangle Counting Estimation over Streaming Graphs.
Proc. VLDB Endow.
Siyue Wu, Dingming Wu, Sinhong Cheuk, Tsz Nam Chan, Kezhong Lu
2025 A* conf
Large-Scale Spatiotemporal Kernel Density Visualization.
ICDE
Tsz Nam Chan, Pak Lon Ip, Bojian Zhu, Leong Hou U, Dingming Wu, Jianliang Xu, Christian S. Jensen
2025 J jnl
Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering.
CoRR
Songbo Wang, Renchi Yang, Yurui Lai, Xiaoyang Lin, Tsz Nam Chan
2025 — conf
Spatially Compact Dense Block Mining in Spatial Tensors.
KDD (1)
Weike Tang, Dingming Wu, Tsz Nam Chan, Kezhong Lu
2024 A* conf
A Computation-Aware Shape Loss Function for Point Cloud Completion.
AAAI
Shunran Zhang, Xiubo Zhang, Tsz Nam Chan, Shenghui Zhang, Leong Hou U
2024 A* conf
Effective Clustering on Large Attributed Bipartite Graphs.
KDD
Renchi Yang, Yidu Wu, Xiaoyang Lin, Qichen Wang, Tsz Nam Chan, Jieming Shi
2024 J jnl
Effective Clustering on Large Attributed Bipartite Graphs.
CoRR
Renchi Yang, Yidu Wu, Xiaoyang Lin, Qichen Wang, Tsz Nam Chan, Jieming Shi
2024 J jnl
Efficient and Accurate PageRank Approximation on Large Graphs.
Proc. ACM Manag. Data
Siyue Wu, Dingming Wu, Junyi Quan, Tsz Nam Chan, Kezhong Lu
2024 A* conf
HFGNN: Efficient Graph Neural Networks Using Hub-Fringe Structures.
ICDM
Pak Lon Ip, Shenghui Zhang, Xuekai Wei, Tsz Nam Chan, Leong Hou U
2024 J jnl
LARGE: A Length-Aggregation-based Grid Structure for Line Density Visualization.
Proc. VLDB Endow.
Tsz Nam Chan, Bojian Zhu, Dingming Wu, Yun Peng, Leong Hou U
2024 J jnl
LION: Fast and High-Resolution Network Kernel Density Visualization.
Proc. VLDB Endow.
Tsz Nam Chan, Rui Zang, Bojian Zhu, Leong Hou U, Dingming Wu, Jianliang Xu
2024 A* conf
PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM (Extended abstract).
ICDE
Tsz Nam Chan, Zhe Li, Leong Hou U, Reynold Cheng
2023 J jnl
Efficient Approximate Nearest Neighbor Search in Multi-dimensional Databases.
Proc. ACM Manag. Data
Yun Peng, Byron Choi, Tsz Nam Chan, Jianye Yang, Jianliang Xu
2023 B conf
Kernel Density Visualization for Big Geospatial Data: Algorithms and Applications.
MDM
Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu, Reynold Cheng
2023 — conf
Large-scale Geospatial Analytics: Problems, Challenges, and Opportunities.
SIGMOD Conference Companion
Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu, Reynold Cheng
2023 J jnl
PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM.
IEEE Trans. Knowl. Data Eng.
Tsz Nam Chan, Zhe Li, Leong Hou U, Reynold Cheng
2023 — conf
PyNKDV: An Efficient Network Kernel Density Visualization Library for Geospatial Analytic Systems.
SIGMOD Conference Companion
Tsz Nam Chan, Rui Zang, Pak Lon Ip, Leong Hou U, Jianliang Xu
2022 J jnl
Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration.
IEEE Trans. Image Process.
Jie Chen, Zaifeng Yang, Tsz Nam Chan, Hui Li, Junhui Hou, Lap-Pui Chau
2022 J jnl
Effective and Efficient Discovery of Top-k Meta Paths in Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng.
Zichen Zhu, Tsz Nam Chan, Reynold Cheng, Loc Do, Zhipeng Huang, Haoci Zhang
2022 J jnl
Efficient Algorithms for Kernel Aggregation Queries.
IEEE Trans. Knowl. Data Eng.
Tsz Nam Chan, Leong Hou U, Reynold Cheng, Man Lung Yiu, Shivansh Mittal
2022 J jnl
Fast Network K-function-based Spatial Analysis.
Proc. VLDB Endow.
Tsz Nam Chan, Leong Hou U, Yun Peng, Byron Choi, Jianliang Xu
2022 A* conf
LAN: Learning-based Approximate k-Nearest Neighbor Search in Graph Databases.
ICDE
Yun Peng, Byron Choi, Tsz Nam Chan, Jianliang Xu
2022 J jnl
LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics.
Proc. VLDB Endow.
Tsz Nam Chan, Pak Lon Ip, Kaiyan Zhao, Leong Hou U, Byron Choi, Jianliang Xu
2022 A* conf
PAW: Data Partitioning Meets Workload Variance.
ICDE
Zhe Li, Man Lung Yiu, Tsz Nam Chan
2022 — conf
SLAM: Efficient Sweep Line Algorithms for Kernel Density Visualization.
SIGMOD Conference
Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu
2021 J jnl
Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration.
CoRR
Jie Chen, Zaifeng Yang, Tsz Nam Chan, Hui Li, Junhui Hou, Lap-Pui Chau
2021 J jnl
Detail-Preserving Multi-Exposure Fusion With Edge-Preserving Structural Patch Decomposition.
IEEE Trans. Circuits Syst. Video Technol.
Hui Li, Tsz Nam Chan, Xianbiao Qi, Wuyuan Xie
2021 J jnl
Fast Augmentation Algorithms for Network Kernel Density Visualization.
Proc. VLDB Endow.
Tsz Nam Chan, Zhe Li, Leong Hou U, Jianliang Xu, Reynold Cheng
2021 J jnl
KDV-Explorer: A Near Real-Time Kernel Density Visualization System for Spatial Analysis.
Proc. VLDB Endow.
Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Weng Hou Tong, Shivansh Mittal, Ye Li, Reynold Cheng
2021 B conf
PolyFit: Polynomial-based Indexing Approach for Fast Approximate Range Aggregate Queries.
EDBT
Zhe Li, Tsz Nam Chan, Man Lung Yiu, Christian S. Jensen
2021 J jnl
SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization.
Proc. VLDB Endow.
Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Byron Choi, Jianliang Xu
2021 J jnl
SWS: A Complexity-Optimized Solution for Spatial-Temporal Kernel Density Visualization.
Proc. VLDB Endow.
Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Byron Choi, Jianliang Xu
2021 J jnl
The Power of Bounds: Answering Approximate Earth Mover's Distance with Parametric Bounds.
IEEE Trans. Knowl. Data Eng.
Tsz Nam Chan, Man Lung Yiu, Leong Hou U
2020 J jnl
PolyFit: Polynomial-based Indexing Approach for Fast Approximate Range Aggregate Queries.
CoRR
Zhe Li, Tsz Nam Chan, Man Lung Yiu, Christian S. Jensen
2020 — conf
QUAD: Quadratic-Bound-based Kernel Density Visualization.
SIGMOD Conference
Tsz Nam Chan, Reynold Cheng, Man Lung Yiu
2020 A* conf
The Power of Bounds: Answering Approximate Earth Mover's Distance with Parametric Bounds (Extended abstract).
ICDE
Tsz Nam Chan, Man Lung Yiu, Leong Hou U
2019 A* conf
KARL: Fast Kernel Aggregation Queries.
ICDE
Tsz Nam Chan, Man Lung Yiu, Leong Hou U
2017 J jnl
Efficient Sub-Window Nearest Neighbor Search on Matrix.
IEEE Trans. Knowl. Data Eng.
Tsz Nam Chan, Man Lung Yiu, Kien A. Hua
2017 — conf
FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems.
SIGMOD Conference
Hui Li, Tsz Nam Chan, Man Lung Yiu, Nikos Mamoulis
2015 B conf
A Progressive Approach for Similarity Search on Matrix.
SSTD
Tsz Nam Chan, Man Lung Yiu, Kien A. Hua