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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
Utilizing Virtual Reality and Generative AI Chatbot for Job Interview Simulations Conference paper
Lee, Lap Kei, Chan, Eric Ho, Tong, Kyler Kin Lik, Wong, Nardo Kwun Hei, Wu, Ben Shing Yan, Fung, Yin Chun, Fong, Edmond King Sing, Leong Hou, U., Wu, Nga In. Utilizing Virtual Reality and Generative AI Chatbot for Job Interview Simulations[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 209-212.
Authors:  Lee, Lap Kei;  Chan, Eric Ho;  Tong, Kyler Kin Lik;  Wong, Nardo Kwun Hei;  Wu, Ben Shing Yan; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/11/05
Chatbot  Generative Ai  Human Computer Interaction  Job Interview Simulation  Virtual Reality  
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  
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  
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
Traffic simulation and impact analysis for alternative mobility services in the city of Shenzhen Conference paper
Zhu, Xueying, Li, Ye, Bilali, Aledia, Zhou, Biyun, Zhang, Jun, Dai, Hao, Zhang, Fan, Zhang, Rui, Hou, U. Leong. Traffic simulation and impact analysis for alternative mobility services in the city of Shenzhen[C], 2022, 70-76.
Authors:  Zhu, Xueying;  Li, Ye;  Bilali, Aledia;  Zhou, Biyun;  Zhang, Jun; et al.
Favorite | TC[Scopus]:0 | Submit date：2023/01/30
Alternative Mobility Services  Ride Pooling  Simulating  
The Power of Bounds: Answering Approximate Earth Mover's Distance with Parametric Bounds Journal article
Chan,Tsz Nam, Yiu,Man Lung, Leong Hou,U.. The Power of Bounds: Answering Approximate Earth Mover's Distance with Parametric Bounds[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 33(2), 768-781.
Authors:  Chan,Tsz Nam;  Yiu,Man Lung;  Leong Hou,U.
Favorite | TC[WOS]:5 TC[Scopus]:5  IF:8.9/8.8 | Submit date：2021/03/11
Approximation Framework  Earth Mover's Distance  Parametric Bounds  
Distribution-aware hierarchical weighting method for deep metric learning Conference paper
Zhu, Yinong, Feng, Yong, Zhou, Mingliang, Qiang, Baohua, Leong Hou, U., Zhu, Jiajie. Distribution-aware hierarchical weighting method for deep metric learning[C], NEW YORK, NY 10017 USA:IEEE, 2021, 1770-1774.
Authors:  Zhu, Yinong;  Feng, Yong;  Zhou, Mingliang;  Qiang, Baohua;  Leong Hou, U.; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/05/13
Metric Learning  Distribution Quantification  Hierarchical Weighting  Relationship Maintenance