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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  
Efficient Algorithms for Kernel Aggregation Queries Journal article
Chan, Tsz Nam, Hou, U. Leong, Cheng, Reynold, Yiu, Man Lung, Mittal, Shivansh. Efficient Algorithms for Kernel Aggregation Queries[J]. IEEE Transactions on Knowledge and Data Engineering, 2020, 34(6), 2726-2739.
Authors:  Chan, Tsz Nam;  Hou, U. Leong;  Cheng, Reynold;  Yiu, Man Lung;  Mittal, Shivansh
Favorite | TC[WOS]:3 TC[Scopus]:6  IF:8.9/8.8 | Submit date：2022/05/31
Karl  Kernel Functions  Lower And Upper Bounds  
The power of bounds: Answering approximate earth mover's distance with parametric bounds (Extended abstract) Conference paper
Chan,Tsz Nam, Lung Yiu,Man, Leong Hou,U.. The power of bounds: Answering approximate earth mover's distance with parametric bounds (Extended abstract)[C], 2020, 2022-2023.
Authors:  Chan,Tsz Nam;  Lung Yiu,Man;  Leong Hou,U.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2021/03/11
KARL: Fast kernel aggregation queries Conference paper
Chan,Tsz Nam, Yiu,Man Lung, Hou,Leong. KARL: Fast kernel aggregation queries[C], IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2019, 542-553.
Authors:  Chan,Tsz Nam;  Yiu,Man Lung;  Hou,Leong
Favorite | TC[WOS]:10 TC[Scopus]:14 | Submit date：2021/03/11
Kernel Aggregation Queries  Kernel Functions  
An experimental study on hub labeling based shortest path algorithms Conference paper
Li，Ye, Leong Hou，U., Yiu，Man Lung, Kou，Ngai Meng. An experimental study on hub labeling based shortest path algorithms[C], 2018, 445-457.
Authors:  Li，Ye;  Leong Hou，U.;  Yiu，Man Lung;  Kou，Ngai Meng
Favorite | TC[WOS]:62 TC[Scopus]:72 | Submit date：2021/03/11
Exploit Every Cycle: Vectorized Time Series Algorithms on Modern Commodity CPUs Conference paper
Tang, Bo, Yiu, Man Lung, Li, Yuhong, Hou, Leong U., Blanas, S, Bordawekar, R, Lahiri, T, Levandoski, J, Pavlo, A. Exploit Every Cycle: Vectorized Time Series Algorithms on Modern Commodity CPUs[C], GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND:SPRINGER INTERNATIONAL PUBLISHING AG, 2017, 18-39.
Authors:  Tang, Bo;  Yiu, Man Lung;  Li, Yuhong;  Hou, Leong U.;  Blanas, S; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1 | Submit date：2018/10/30
Fast subsequence search on time series data Conference paper
Yuhong Li, Bo Tang, Leong Hou U, Man Lung Yiu, Zhiguo Gong. Fast subsequence search on time series data[C], 2017, 514-517.
Authors:  Yuhong Li;  Bo Tang;  Leong Hou U;  Man Lung Yiu;  Zhiguo Gong
Favorite | TC[Scopus]:5 | Submit date：2019/02/12
Exploit every cycle: Vectorized time series algorithms on modern commodity CPUs Conference paper
Tang, Bo, Yiu, Man Lung, Li, Yuhong, U, Leong Hou. Exploit every cycle: Vectorized time series algorithms on modern commodity CPUs[C]. Springer Verlag, 2017, 18-39.
Authors:  Tang, Bo;  Yiu, Man Lung;  Li, Yuhong;  U, Leong Hou
Favorite | TC[WOS]:0 TC[Scopus]:1 | Submit date：2018/11/06
Beyond millisecond latency kNN search on commodity machine Conference paper
Bailong Liao, Leong Hou U, Man Lung Yiu, Zhiguo Gong. Beyond millisecond latency kNN search on commodity machine[C], 2016, 1524-1525.
Authors:  Bailong Liao;  Leong Hou U;  Man Lung Yiu;  Zhiguo Gong
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2021/03/09
Efficient discovery of longest-lasting correlation in sequence databases Journal article
Yuhong Li, Leong Hou U, Man Lung Yiu, Zhiguo Gong. Efficient discovery of longest-lasting correlation in sequence databases[J]. VLDB Journal, 2016, 25(6), 767-790.
Authors:  Yuhong Li;  Leong Hou U;  Man Lung Yiu;  Zhiguo Gong
Favorite | TC[WOS]:6 TC[Scopus]:8  IF:2.8/3.6 | Submit date：2019/02/12
Longest-lasting Correlated Subsequences  Similarity Search  Time Series Analysis