Investigating the Effect of Sampling Methods for Imbalanced Data Distributions. - Show-Jane Yen; Yue-Shi Lee; Cheng-Han Lin; Jia-Ching Ying (SMC, 2006)

Efficient Incremental Mining of Qualified Web Traversal Patterns without Scanning Original Databases. - Jia-Ching Ying; Vincent S. Tseng; Philip S. Yu (ICDM Workshops, 2009)

Mining user similarity from semantic trajectories. - Josh Jia-Ching Ying; Eric Hsueh-Chan Lu; Wang-Chien Lee; Tz-Chiao Weng; Vincent S. Tseng (GIS-LBSN, 2010)

Automatic Chinese Text Classification Using N-Gram Model. - Show-Jane Yen; Yue-Shi Lee; Yu-Chieh Wu; Jia-Ching Ying; Vincent S. Tseng (ICCSA (3), 2010)

Semantic trajectory mining for location prediction. - Josh Jia-Ching Ying; Wang-Chien Lee; Tz-Chiao Weng; Vincent S. Tseng (GIS, 2011)

User association analysis of locales on location based social networks. - Josh Jia-Ching Ying; Wang-Chien Lee; Mao Ye 002; Ching-Yu Chen; Vincent S. Tseng (GIS-LBSN, 2011)

A logistic regression-based smoothing method for Chinese text categorization. - Show-Jane Yen; Yue-Shi Lee; Jia-Ching Ying; Yu-Chieh Wu (Expert Syst. Appl., 2011)

Mining web navigation patterns with dynamic thresholds for navigation prediction. - Jia-Ching Ying; Chu-Yu Chin; Vincent S. Tseng (GrC, 2012)

Followee recommendation in asymmetrical location-based social networks. - Josh Jia-Ching Ying; Eric Hsueh-Chan Lu; Vincent S. Tseng (UbiComp, 2012)

Urban point-of-interest recommendation by mining user check-in behaviors. - Josh Jia-Ching Ying; Eric Hsueh-Chan Lu; Wen-Ning Kuo; Vincent S. Tseng (UrbComp@KDD, 2012)

High-performance content-based image retrieval using DFS strategy. - Ja-Hwung Su; Chung-Chieh Hsu; Josh Jia-Ching Ying (GrC, 2013)

TripCloud: An Intelligent Cloud-Based Trip Recommendation System. - Josh Jia-Ching Ying; Eric Hsueh-Chan Lu; Bo-Nian Shi; Vincent S. Tseng (SSTD, 2013)

Preference-Aware Community Detection for Item Recommendation. - Jia-Ching Ying; Bo-Nian Shi; Vincent S. Tseng; Huan-Wen Tsai; Kuang Hung Cheng; Shun-Chieh Lin (TAAI, 2013)

Mining geographic-temporal-semantic patterns in trajectories for location prediction. - Josh Jia-Ching Ying; Wang-Chien Lee; Vincent S. Tseng (ACM Trans. Intell. Syst. Technol., 2013)

Location semantics prediction for living analytics by mining smartphone data. - Chi-Min Huang; Josh Jia-Ching Ying; Vincent S. Tseng; Zhi-Hua Zhou (DSAA, 2014)

Semantic content-based music retrieval using audio and fuzzy-music-sense features. - Ja-Hwung Su; Chun-Yen Wang; Ting-Wei Chiu; Josh Jia-Ching Ying; Vincent S. Tseng (GrC, 2014)

Semantic trajectory-based high utility item recommendation system. - 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 (Expert Syst. Appl., 2014)

Mining User Check-In Behavior with a Random Walk for Urban Point-of-Interest Recommendations. - Josh Jia-Ching Ying; Wen-Ning Kuo; Vincent S. Tseng; Eric Hsueh-Chan Lu (ACM Trans. Intell. Syst. Technol., 2014)

Transfer Learning on High Variety Domains for Activity Recognition. - Josh Jia-Ching Ying; Bo-Hau Lin; Vincent S. Tseng; Sun-Yuan Hsieh (ASE BD&SI, 2015)

FrauDetector: A Graph-Mining-based Framework for Fraudulent Phone Call Detection. - Vincent S. Tseng; Jia-Ching Ying; Che-Wei Huang; Yimin Kao; Kuan-Ta Chen (KDD, 2015)

On Velocity-Preserving Trajectory Simplification. - Josh Jia-Ching Ying; Ja-Hwung Su (ACIIDS (2), 2016)

PFrauDetector: A Parallelized Graph Mining Approach for Efficient Fraudulent Phone Call Detection. - Josh Jia-Ching Ying; Ji Zhang 001; Che-Wei Huang; Kuan-Ta Chen; Vincent S. Tseng (ICPADS, 2016)

A preliminary study on deep learning for predicting social insurance payment behavior. - Josh Jia-Ching Ying; Po-Yu Huang; Chih-Kai Chang; Don-Lin Yang (IEEE BigData, 2017)

The RFID-based real-time monitoring system and the management algorithm of RFIDs. - Cheng-Ju Kuo; Kuo-Cheng Ting; Jia-Ching Ying; Shyr-Kuen Chen; Yi-Chung Chen (ICMLC, 2017)

A Deep Learning Approach to Sensory Navigation Device for Blind Guidance. - Jia-Ching Ying; Chen-Yu Li; Guan-Wei Wu; Jian-Xing Li; Wei-Jheng Chen; Don-Lin Yang (HPCC/SmartCity/DSS, 2018)

FrauDetector+: An Incremental Graph-Mining Approach for Efficient Fraudulent Phone Call Detection. - Josh Jia-Ching Ying; Ji Zhang 001; Che-Wei Huang; Kuan-Ta Chen; Vincent S. Tseng (ACM Trans. Knowl. Discov. Data, 2018)

DeepIdentifier: A Deep Learning-Based Lightweight Approach for User Identity Recognition. - Meng-Chieh Lee; Yu Huang 018; Josh Jia-Ching Ying; Chien Chen; Vincent S. Tseng (ADMA, 2019)

Learning Relational Fractals for Deep Knowledge Graph Embedding in Online Social Networks. - Ji Zhang 001; Leonard Tan; Xiaohui Tao 001; Dianwei Wang; Josh Jia-Ching Ying; Xin Wang 030 (WISE, 2019)

Applying a Genetic Algorithm to Determine Premium Rate of Occupational Accident Insurance. - Josh Jia-Ching Ying; Chi-Kai Chan; Yen-Ting Chang (ICMLC, 2020)

DeepSafety: A Deep Learning Framework for Unsafe Behaviors Detection of Steel Activity in Construction Projects. - Chia-Chun Liu; Josh Jia-Ching Ying (ICS, 2020)

Computational Intelligence Techniques for Combating COVID-19: A Survey. - Vincent S. Tseng; Josh Jia-Ching Ying; Stephen T. C. Wong; Diane J. Cook; Jiming Liu 001 (IEEE Comput. Intell. Mag., 2020)

A Fast, Interactive, Location-Based Food Recommendation Application. - Sheng-Min Chiu; Yi-Chung Chen; Yow-Shin Liou; Chiang Lee; Jia-Ching Ying; Chee-Hoe Loh; Jou-Wei Lin (MISNC, 2021)

Spatio-attention embedded recurrent neural network for air quality prediction. - Yu Huang 018; Josh Jia-Ching Ying; Vincent S. Tseng (Knowl. Based Syst., 2021)

A Puzzle-Based Data Sharing Approach with Cheating Prevention Using QR Code. - Chwei-Shyong Tsai; Hsin-Liang Chen; Hsien-Chu Wu; Josh Jia-Ching Ying (Symmetry, 2021)

Applying GMEI-GAN to Generate Meaningful Encrypted Images in Reversible Data Hiding Techniques. - Chwei-Shyong Tsai; Hsien-Chu Wu; Yu-Wen Li; Josh Jia-Ching Ying (Symmetry, 2021)

Dynamic Graph Mining for Multi-weight Multi-destination Route Planning with Deadlines Constraints. - Yu Huang 018; Josh Jia-Ching Ying; Philip S. Yu; Vincent S. Tseng (ACM Trans. Knowl. Discov. Data, 2021)

Event Detection from Web Data in Chinese Based on Bi-LSTM with Attention. - Yuxin Wu; Zenghui Xu; Hongzhou Li; Yuquan Gan; Josh Jia-Ching Ying; Ting Yu 004; Ji Zhang 001 (ADMA (1), 2022)

A Deep Learning Framework for Removing Bias from Single-Photon Emission Computerized Tomography. - Josh Jia-Ching Ying; Wan-Ju Yang; Ji Zhang 001; Yu-Ching Ni; Chia-Yu Lin; Fan-Pin Tseng; Xiaohui Tao 001 (ADMA (1), 2022)

An image authentication and recovery system based on discrete wavelet transform and convolutional neural networks. - Hsien-Chu Wu; Wen-Li Fan; Chwei-Shyong Tsai; Josh Jia-Ching Ying (Multim. Tools Appl., 2022)

An Unsupervised Deep Learning Framework for Anomaly Detection. - Che-Wei Kuo; Josh Jia-Ching Ying (ACIIDS (1), 2023)

DeepSafety: a deep neural network-based edge computing framework for detecting unsafe behaviors of construction workers. - Ji Zhang 001; Chia-Chun Liu; Josh Jia-Ching Ying (J. Ambient Intell. Humaniz. Comput., 2023)

Learning Location Semantics and Dynamics for Traffic Origin-Destination Demand Prediction. - Kuan-Hsuan Yung; Josh Jia-Ching Ying; Hui-Ting Lin; Vincent S. Tseng (IJCNN, 2024)

A Deep Learning for Predicting Possibility of Bluetooth Low Energy Tag Signals. - Hao-Pei Teng; Vincent S. Tseng; Josh Jia-Ching Ying (ICS, 2024)

ATFS: A deep learning framework for angle transformation and face swapping of face de-identification. - Chwei-Shyong Tsai; Hsien-Chu Wu; Wei-Ting Chen; Josh Jia-Ching Ying (Multim. Tools Appl., 2024)

DiPPSI: Diffusion-Based Pulsative Physiological Signal Imputation. - Su-Jung Wu; Josh Jia-Ching Ying; Vincent S. Tseng (PAKDD (1), 2025)

HaGAR: Hardness-aware Generative Adversarial Recommender. - Yuan-Heng Lee; Josh Jia-Ching Ying; Vincent S. Tseng (WSDM, 2025)

Few-shot learning-based human pose estimation model. - Josh Jia-Ching Ying; Yu-Hsuan Chen; Ji Zhang 001 (Inf. Sci., 2025)

Forecasting leading economic indicators in the US from financial news using multi-task learning. - Josh Jia-Ching Ying; Chia-Chen Liu; Vincent S. Tseng; Wenbin Zhang 002; Ji Zhang 001 (Soft Comput., 2025)

A Few-Shot Learning-Based Framework for Predicting Likelihood of In-patient's Mortality. - Josh Jia-Ching Ying; Jia-Xuan Yu; Chang-Lun Huang; Yu-An Chen (J. Heal. Informatics Res., 2025)