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Josh Jia-Ching Ying

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2020 – today

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2024
[j13]
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Chwei-Shyong Tsai, Hsien-Chu Wu, Wei-Ting Chen, Josh Jia-Ching Ying:
ATFS: A deep learning framework for angle transformation and face swapping of face de-identification. Multim. Tools Appl. 83(12): 36797-36822 (2024)
[c30]
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Kuan-Hsuan Yung, Josh Jia-Ching Ying, Hui-Ting Lin, Vincent S. Tseng:
Learning Location Semantics and Dynamics for Traffic Origin-Destination Demand Prediction. IJCNN 2024: 1-8
2023
[j12]
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Ji Zhang, Chia-Chun Liu, Josh Jia-Ching Ying:
DeepSafety: a deep neural network-based edge computing framework for detecting unsafe behaviors of construction workers. J. Ambient Intell. Humaniz. Comput. 14(12): 15997-16009 (2023)
[c29]
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Che-Wei Kuo, Josh Jia-Ching Ying:
An Unsupervised Deep Learning Framework for Anomaly Detection. ACIIDS (1) 2023: 284-295
2022
[j11]
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Hsien-Chu Wu, Wen-Li Fan, Chwei-Shyong Tsai, Josh Jia-Ching Ying:
An image authentication and recovery system based on discrete wavelet transform and convolutional neural networks. Multim. Tools Appl. 81(14): 19351-19375 (2022)
[c28]
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Yuxin Wu, Zenghui Xu, Hongzhou Li, Yuquan Gan, Josh Jia-Ching Ying, Ting Yu, Ji Zhang:
Event Detection from Web Data in Chinese Based on Bi-LSTM with Attention. ADMA (1) 2022: 93-105
[c27]
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Josh Jia-Ching Ying, Wan-Ju Yang, Ji Zhang, Yu-Ching Ni, Chia-Yu Lin, Fan-Pin Tseng, Xiaohui Tao:
A Deep Learning Framework for Removing Bias from Single-Photon Emission Computerized Tomography. ADMA (1) 2022: 275-289
2021
[j10]
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Yu Huang, Josh Jia-Ching Ying, Vincent S. Tseng:
Spatio-attention embedded recurrent neural network for air quality prediction. Knowl. Based Syst. 233: 107416 (2021)
[j9]
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Chwei-Shyong Tsai, Hsin-Liang Chen, Hsien-Chu Wu, Josh Jia-Ching Ying:
A Puzzle-Based Data Sharing Approach with Cheating Prevention Using QR Code. Symmetry 13(10): 1896 (2021)
[j8]
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Chwei-Shyong Tsai, Hsien-Chu Wu, Yu-Wen Li, Josh Jia-Ching Ying:
Applying GMEI-GAN to Generate Meaningful Encrypted Images in Reversible Data Hiding Techniques. Symmetry 13(12): 2438 (2021)
[j7]
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Yu Huang, Josh Jia-Ching Ying, Philip S. Yu, Vincent S. Tseng:
Dynamic Graph Mining for Multi-weight Multi-destination Route Planning with Deadlines Constraints. ACM Trans. Knowl. Discov. Data 15(1): 3:1-3:32 (2021)
[c26]
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  - conf/misnc/ChiuCLLYLL21
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Sheng-Min Chiu, Yi-Chung Chen, Yow-Shin Liou, Chiang Lee, Jia-Ching Ying, Chee-Hoe Loh, Jou-Wei Lin:
A Fast, Interactive, Location-Based Food Recommendation Application. MISNC 2021: 21-25
2020
[j6]
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Vincent S. Tseng, Josh Jia-Ching Ying, Stephen T. C. Wong, Diane J. Cook, Jiming Liu:
Computational Intelligence Techniques for Combating COVID-19: A Survey. IEEE Comput. Intell. Mag. 15(4): 10-22 (2020)
[c25]
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Josh Jia-Ching Ying, Chi-Kai Chan, Yen-Ting Chang:
Applying a Genetic Algorithm to Determine Premium Rate of Occupational Accident Insurance. ICMLC 2020: 94-98
[c24]
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  - conf/intcompsymp/LiuY20
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Chia-Chun Liu, Josh Jia-Ching Ying:
DeepSafety: A Deep Learning Framework for Unsafe Behaviors Detection of Steel Activity in Construction Projects. ICS 2020: 135-140

2010 – 2019

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2019
[c23]
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Meng-Chieh Lee, Yu Huang, Josh Jia-Ching Ying, Chien Chen, Vincent S. Tseng:
DeepIdentifier: A Deep Learning-Based Lightweight Approach for User Identity Recognition. ADMA 2019: 389-405
[c22]
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Ji Zhang, Leonard Tan, Xiaohui Tao, Dianwei Wang, Josh Jia-Ching Ying, Xin Wang:
Learning Relational Fractals for Deep Knowledge Graph Embedding in Online Social Networks. WISE 2019: 660-674
2018
[j5]
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Josh Jia-Ching Ying, Ji Zhang, Che-Wei Huang, Kuan-Ta Chen, Vincent S. Tseng:
FrauDetector⁺: An Incremental Graph-Mining Approach for Efficient Fraudulent Phone Call Detection. ACM Trans. Knowl. Discov. Data 12(6): 68:1-68:35 (2018)
[c21]
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Jia-Ching Ying, Chen-Yu Li, Guan-Wei Wu, Jian-Xing Li, Wei-Jheng Chen, Don-Lin Yang:
A Deep Learning Approach to Sensory Navigation Device for Blind Guidance. HPCC/SmartCity/DSS 2018: 1195-1200
2017
[c20]
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  - conf/bigdataconf/YingHCY17
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Josh Jia-Ching Ying, Po-Yu Huang, Chih-Kai Chang, Don-Lin Yang:
A preliminary study on deep learning for predicting social insurance payment behavior. IEEE BigData 2017: 1866-1875
[c19]
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Cheng-Ju Kuo, Kuo-Cheng Ting, Jia-Ching Ying, Shyr-Kuen Chen, Yi-Chung Chen:
The RFID-based real-time monitoring system and the management algorithm of RFIDs. ICMLC 2017: 499-503
2016
[c18]
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Josh Jia-Ching Ying, Ja-Hwung Su:
On Velocity-Preserving Trajectory Simplification. ACIIDS (2) 2016: 241-250
[c17]
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Josh Jia-Ching Ying, Ji Zhang, Che-Wei Huang, Kuan-Ta Chen, Vincent S. Tseng:
PFrauDetector: A Parallelized Graph Mining Approach for Efficient Fraudulent Phone Call Detection. ICPADS 2016: 1059-1066
2015
[c16]
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Josh Jia-Ching Ying, Bo-Hau Lin, Vincent S. Tseng, Sun-Yuan Hsieh:
Transfer Learning on High Variety Domains for Activity Recognition. ASE BD&SI 2015: 37:1-37:6
[c15]
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  - conf/kdd/TsengYHKC15
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Vincent S. Tseng, Jia-Ching Ying, Che-Wei Huang, Yimin Kao, Kuan-Ta Chen:
FrauDetector: A Graph-Mining-based Framework for Fraudulent Phone Call Detection. KDD 2015: 2157-2166
2014
[j4]
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  - journals/eswa/YingCLLTTCL14
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Jia-Ching Ying, Huan-Sheng Chen, Kawuu Weicheng Lin, Eric Hsueh-Chan Lu, Vincent S. Tseng, Huan-Wen Tsai, Kuang Hung Cheng, Shun-Chieh Lin:
Semantic trajectory-based high utility item recommendation system. Expert Syst. Appl. 41(10): 4762-4776 (2014)
[j3]
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Josh Jia-Ching Ying, Wen-Ning Kuo, Vincent S. Tseng, Eric Hsueh-Chan Lu:
Mining User Check-In Behavior with a Random Walk for Urban Point-of-Interest Recommendations. ACM Trans. Intell. Syst. Technol. 5(3): 40:1-40:26 (2014)
[c14]
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Chi-Min Huang, Josh Jia-Ching Ying, Vincent S. Tseng, Zhi-Hua Zhou:
Location semantics prediction for living analytics by mining smartphone data. DSAA 2014: 527-533
[c13]
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Ja-Hwung Su, Chun-Yen Wang, Ting-Wei Chiu, Josh Jia-Ching Ying, Vincent S. Tseng:
Semantic content-based music retrieval using audio and fuzzy-music-sense features. GrC 2014: 259-264
2013
[j2]
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Josh Jia-Ching Ying, Wang-Chien Lee, Vincent S. Tseng:
Mining geographic-temporal-semantic patterns in trajectories for location prediction. ACM Trans. Intell. Syst. Technol. 5(1): 2:1-2:33 (2013)
[c12]
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Ja-Hwung Su, Chung-Chieh Hsu, Josh Jia-Ching Ying:
High-performance content-based image retrieval using DFS strategy. GrC 2013: 270-275
[c11]
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Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, Bo-Nian Shi, Vincent S. Tseng:
TripCloud: An Intelligent Cloud-Based Trip Recommendation System. SSTD 2013: 472-477
[c10]
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  - conf/taai/YingSTTCL13
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Jia-Ching Ying, Bo-Nian Shi, Vincent S. Tseng, Huan-Wen Tsai, Kuang Hung Cheng, Shun-Chieh Lin:
Preference-Aware Community Detection for Item Recommendation. TAAI 2013: 49-54
2012
[c9]
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  - conf/grc/YingCT12
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Jia-Ching Ying, Chu-Yu Chin, Vincent S. Tseng:
Mining web navigation patterns with dynamic thresholds for navigation prediction. GrC 2012: 614-619
[c8]
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Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, Vincent S. Tseng:
Followee recommendation in asymmetrical location-based social networks. UbiComp 2012: 988-995
[c7]
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  - conf/kdd/YingLKT12
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Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, Wen-Ning Kuo, Vincent S. Tseng:
Urban point-of-interest recommendation by mining user check-in behaviors. UrbComp@KDD 2012: 63-70
2011
[j1]
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  - journals/eswa/YenLYW11
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Show-Jane Yen, Yue-Shi Lee, Jia-Ching Ying, Yu-Chieh Wu:
A logistic regression-based smoothing method for Chinese text categorization. Expert Syst. Appl. 38(9): 11581-11590 (2011)
[c6]
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  - conf/gis/YingLWT11
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Josh Jia-Ching Ying, Wang-Chien Lee, Tz-Chiao Weng, Vincent S. Tseng:
Semantic trajectory mining for location prediction. GIS 2011: 34-43
[c5]
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Josh Jia-Ching Ying, Wang-Chien Lee, Mao Ye, Ching-Yu Chen, Vincent S. Tseng:
User association analysis of locales on location based social networks. GIS-LBSN 2011: 69-76
2010
[c4]
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Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, Wang-Chien Lee, Tz-Chiao Weng, Vincent S. Tseng:
Mining user similarity from semantic trajectories. GIS-LBSN 2010: 19-26
[c3]
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Show-Jane Yen, Yue-Shi Lee, Yu-Chieh Wu, Jia-Ching Ying, Vincent S. Tseng:
Automatic Chinese Text Classification Using N-Gram Model. ICCSA (3) 2010: 458-471

2000 – 2009

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2009
[c2]
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Jia-Ching Ying, Vincent S. Tseng, Philip S. Yu:
Efficient Incremental Mining of Qualified Web Traversal Patterns without Scanning Original Databases. ICDM Workshops 2009: 338-343
2006
[c1]
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  - conf/smc/YenLLY06
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Show-Jane Yen, Yue-Shi Lee, Cheng-Han Lin, Jia-Ching Ying:
Investigating the Effect of Sampling Methods for Imbalanced Data Distributions. SMC 2006: 4163-4168

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