UM

Browse/Search Results:  1-10 of 19 Help

Selected(0)Clear Items/Page:    Sort:
A Computation-Aware Shape Loss Function for Point Cloud Completion Conference paper
Zhang, Shunran, Zhang, Xiubo, Chan, Tsz Nam, Zhang, Shenghui, Leong Hou, U.. A Computation-Aware Shape Loss Function for Point Cloud Completion[C], 2024, 7287-7295.
Authors:  Zhang, Shunran;  Zhang, Xiubo;  Chan, Tsz Nam;  Zhang, Shenghui;  Leong Hou, U.
Favorite | TC[Scopus]:0 | Submit date:2024/05/16
LION: Fast and High-Resolution Network Kernel Density Visualization Journal article
Chan, Tsz Nam, Zang, Rui, Zhu, Bojian, U, Leong Hou, Wu, Dingming, Xu, Jianliang. LION: Fast and High-Resolution Network Kernel Density Visualization[J]. Proceedings of the VLDB Endowment, 2024, 17(6), 1255-1268.
Authors:  Chan, Tsz Nam;  Zang, Rui;  Zhu, Bojian;  U, Leong Hou;  Wu, Dingming; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.6/3.4 | Submit date:2024/05/16
A Computation-aware Shape Loss Function for Point Cloud Completion Conference paper
Shunran Zhang, Xiubo Zhang, Tsz Nam Chan, Shenghui Zhang, U LEONG HOU. A Computation-aware Shape Loss Function for Point Cloud Completion[C], 2024.
Authors:  Shunran Zhang;  Xiubo Zhang;  Tsz Nam Chan;  Shenghui Zhang;  U LEONG HOU
Favorite |  | Submit date:2023/12/18
PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM (Extended abstract) Conference paper
Chan, Tsz Nam, Li, Zhe, Leong Hou, U., Cheng, Reynold. PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM (Extended abstract)[C]:IEEE Computer Society, 2024, 5685-5686.
Authors:  Chan, Tsz Nam;  Li, Zhe;  Leong Hou, U.;  Cheng, Reynold
Favorite | TC[Scopus]:0 | Submit date:2024/09/03
Additive Kernel  Plame  Svm  
Kernel Density Visualization for Big Geospatial Data: Algorithms and Applications Conference paper
Chan, Tsz Nam, U, Leong Hou, Choi, Byron, Xu, Jianliang, Reynold Cheng. Kernel Density Visualization for Big Geospatial Data: Algorithms and Applications[C]:Institute of Electrical and Electronics Engineers Inc., 2023, 231-234.
Authors:  Chan, Tsz Nam;  U, Leong Hou;  Choi, Byron;  Xu, Jianliang;  Reynold Cheng
Favorite | TC[Scopus]:2 | Submit date:2023/09/07
Large-scale Geospatial Analytics: Problems, Challenges, and Opportunities Conference paper
Chan, Tsz Nam, Leong Hou, U., Choi, Byron, Xu, Jianliang, Cheng, Reynold. Large-scale Geospatial Analytics: Problems, Challenges, and Opportunities[C], 2023, 21-29.
Authors:  Chan, Tsz Nam;  Leong Hou, U.;  Choi, Byron;  Xu, Jianliang;  Cheng, Reynold
Favorite | TC[Scopus]:3 | Submit date:2023/07/20
Efficient Algorithm And Software Development  Geospatial Analytics  Gis  K-function  Kernel Density Visualization  
PyNKDV: An Efficient Network Kernel Density Visualization Library for Geospatial Analytic Systems Conference paper
Chan, Tsz Nam, Zang, Rui, Ip, Pak Lon, Leong Hou, U., Xu, Jianliang. PyNKDV: An Efficient Network Kernel Density Visualization Library for Geospatial Analytic Systems[C], 2023, 99-102.
Authors:  Chan, Tsz Nam;  Zang, Rui;  Ip, Pak Lon;  Leong Hou, U.;  Xu, Jianliang
Favorite | TC[Scopus]:3 | Submit date:2023/07/20
Geospatial Analytic Systems  Nkdv  Python Library  
PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM Journal article
Tsz Nam Chan, Zhe Li, Leong Hou U, Reynold Cheng. PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM[J]. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(10), 9985 - 9997.
Authors:  Tsz Nam Chan;  Zhe Li;  Leong Hou U;  Reynold Cheng
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:8.9/8.8 | Submit date:2023/08/03
Additive Kernels  Plame  Svm  
SLAM: Efficient Sweep Line Algorithms for Kernel Density Visualization Conference paper
Chan, Tsz Nam, Leong Hou, U., Choi, Byron, Xu, Jianliang. SLAM: Efficient Sweep Line Algorithms for Kernel Density Visualization[C], 2022, 2120-2134.
Authors:  Chan, Tsz Nam;  Leong Hou, U.;  Choi, Byron;  Xu, Jianliang
Favorite | TC[WOS]:3 TC[Scopus]:8 | Submit date:2022/08/02
Kernel Density Visualization  Hotspot Detection  Slam  
LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics Conference paper
Chan, Tsz Nam, Leong Hou, U., Ip, Pak Lon, Choi, Byron, Zhao, Kaiyan, Xu, Jianliang. LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics[C]. Özcan F., Freire J., Lin X.:VLDB Endowment, 2022, 3606-3609.
Authors:  Chan, Tsz Nam;  Leong Hou, U.;  Ip, Pak Lon;  Choi, Byron;  Zhao, Kaiyan; et al.
Favorite | TC[WOS]:2 TC[Scopus]:6 | Submit date:2023/01/30