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Po-Ruey Lei
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2020 – today
- 2022
- [j6]Li-Pin Xiao, Po-Ruey Lei, Wen-Chih Peng:
Hybrid Embedding of Multi-Behavior Network and Product-Content Knowledge Graph for Tourism Product Recommendation. J. Inf. Sci. Eng. 38(3): 547-570 (2022) - 2021
- [c19]Po-Ruey Lei, Pei-Rong Yu, Wen-Chih Peng:
Learning for Prediction of Maritime Collision Avoidance Behavior from AIS Network. APNOMS 2021: 222-225 - [c18]Christian Nathaniel Purwanto, Joan Santoso, Po-Ruey Lei, Hui-Kuo Yang, Wen-Chih Peng:
FakeCLIP: Multimodal Fake Caption Detection with Mixed Languages for Explainable Visualization. TAAI 2021: 1-6 - 2020
- [j5]Po-Ruey Lei
:
Mining maritime traffic conflict trajectories from a massive AIS data. Knowl. Inf. Syst. 62(1): 259-285 (2020) - [c17]Li-Pin Xiao, Po-Ruey Lei, Wen-Chih Peng:
Personalized Travel Product Recommendation Based on Embedding of Multi-Behavior Interaction Network and Product Information Knowledge Graph. TAAI 2020: 125-130
2010 – 2019
- 2019
- [c16]Po-Ruey Lei, Pei-Rong Yu, Wen-Chih Peng:
A Framework for Maritime Anti-Collision Pattern Discovery from AIS Network. APNOMS 2019: 1-4 - 2018
- [c15]Po-Ruey Lei, Li-Pin Xiao, Yu Ting Wen, Wen-Chih Peng:
CAPatternMiner: Mining Ship Collision Avoidance Behavior from AIS Trajectory Data. CIKM 2018: 1875-1878 - 2017
- [c14]Po-Ruey Lei, Tzu-Hao Tsai, Yu Ting Wen, Wen-Chih Peng:
A framework for discovering maritime traffic conflict from AIS network. APNOMS 2017: 1-6 - [c13]Po-Ruey Lei, Tzu-Hao Tsai, Yu Ting Wen, Wen-Chih Peng:
ConflictFinder: Mining Maritime Traffic Conflict from Massive Ship Trajectories. MDM 2017: 356-357 - 2016
- [j4]Po-Ruey Lei
:
A framework for anomaly detection in maritime trajectory behavior. Knowl. Inf. Syst. 47(1): 189-214 (2016) - [c12]Po-Ruey Lei, Tzu-Hao Tsai, Wen-Chih Peng:
Discovering Maritime Traffic Route from AIS network. APNOMS 2016: 1-6 - [c11]Wen-Yuan Zhu, Yu-Wen Wang, Chin-Jie Chen, Wen-Chih Peng, Po-Ruey Lei:
A Bayesian-Based Approach for Activity and Mobility Inference in Location-Based Social Networks. MDM 2016: 152-157 - [c10]Chih-Yu Lin, Chih-Chieh Hung
, Po-Ruey Lei:
A velocity-preserving trajectory simplification approach. TAAI 2016: 58-65 - 2014
- [j3]Wen-Yuan Zhu, Wen-Chih Peng, Chih-Chieh Hung
, Po-Ruey Lei, Ling-Jyh Chen
:
Exploring Sequential Probability Tree for Movement-Based Community Discovery. IEEE Trans. Knowl. Data Eng. 26(11): 2717-2730 (2014) - [c9]Yu Ting Wen, Po-Ruey Lei, Wen-Chih Peng, Xiaofang Zhou
:
Exploring Social Influence on Location-Based Social Networks. ICDM 2014: 1043-1048 - [c8]Yu Ting Wen, Chien Hsiang Lai, Po-Ruey Lei, Wen-Chih Peng:
RouteMiner: Mining Ship Routes from a Massive Maritime Trajectories. MDM (1) 2014: 353-356 - [c7]Yung-Hsiang Lin, Chien Hsiang Lai, Po-Ruey Lei:
Mining Top-K Relevant Stay Regions from Historical Trajectories. PAKDD Workshops 2014: 293-304 - 2013
- [j2]Po-Ruey Lei, Shou-Chung Li, Wen-Chih Peng:
QS-STT: QuadSection clustering and spatial-temporal trajectory model for location prediction. Distributed Parallel Databases 31(2): 231-258 (2013) - [c6]Zhung-Xun Liao, Yi-Chin Pan, Wen-Chih Peng, Po-Ruey Lei:
On mining mobile apps usage behavior for predicting apps usage in smartphones. CIKM 2013: 609-618 - [c5]Po-Ruey Lei:
Exploring trajectory behavior model for anomaly detection in maritime moving objects. ISI 2013: 271 - 2012
- [j1]Po-Ruey Lei, Wen-Chih Peng, Ing-Jiunn Su, Chien-Ping Chang:
Dummy-Based Schemes for Protecting Movement Trajectories. J. Inf. Sci. Eng. 28(2): 335-350 (2012) - [c4]Zhung-Xun Liao, Po-Ruey Lei, Tsu-Jou Shen, Shou-Chung Li, Wen-Chih Peng:
Mining Temporal Profiles of Mobile Applications for Usage Prediction. ICDM Workshops 2012: 890-893 - [c3]Zhung-Xun Liao, Po-Ruey Lei, Tsu-Jou Shen, Shou-Chung Li, Wen-Chih Peng:
AppNow: Predicting Usages of Mobile Applications on Smart Phones. TAAI 2012: 300-303 - 2011
- [c2]Chun-Ta Lu, Po-Ruey Lei, Wen-Chih Peng, Ing-Jiunn Su:
A Framework of Mining Semantic Regions from Trajectories. DASFAA (1) 2011: 193-207 - [c1]Po-Ruey Lei, Tsu-Jou Shen, Wen-Chih Peng, Ing-Jiunn Su:
Exploring Spatial-Temporal Trajectory Model for Location Prediction. Mobile Data Management (1) 2011: 58-67
Coauthor Index
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