Incrementally mining temporal patterns in interval-based databases. - Yi-Cheng Chen; Julia Tzu-Ya Weng; Jun-Zhe Wang; Chien-Li Chou; Jiun-Long Huang; Suh-Yin Lee (DSAA, 2014)

An Efficient Algorithm for High Utility Sequential Pattern Mining. - Jun-Zhe Wang; Zong-Hua Yang; Jiun-Long Huang (FCC, 2014)

Team Formation with the Communication Load Constraint in Social Networks. - Yui-Chieh Teng; Jun-Zhe Wang; Jiun-Long Huang (PAKDD Workshops, 2014)

Incremental Mining of High Utility Sequential Patterns in Incremental Databases. - Jun-Zhe Wang; Jiun-Long Huang (CIKM, 2016)

Nearest Window Cluster Queries. - Chen-Che Huang; Jiun-Long Huang; Tsung-Ching Liang; Jun-Zhe Wang; Wen-Yuah Shih; Wang-Chien Lee (EDBT, 2016)

On efficiently mining high utility sequential patterns. - Jun-Zhe Wang; Jiun-Long Huang; Yi-Cheng Chen (Knowl. Inf. Syst., 2016)

On Incremental High Utility Sequential Pattern Mining. - Jun-Zhe Wang; Jiun-Long Huang (ACM Trans. Intell. Syst. Technol., 2018)

Online Structural Break Detection for Pairs Trading Using Wavelet Transform and Hybrid Deep Learning Model. - Shen-Hang Huang; Wen-Yueh Shih; Jing-You Lu; Hao-Han Chang; Chao-Hsien Chu; Jun-Zhe Wang; Jiun-Long Huang; Tian-Shyr Dai (BigComp, 2020)

Mining High-utility Temporal Patterns on Time Interval-based Data. - Jun-Zhe Wang; Yi-Cheng Chen; Wen-Yueh Shih; Lin Yang; Yu-Shao Liu; Jiun-Long Huang (ACM Trans. Intell. Syst. Technol., 2020)

Spread Movement Prediction for Pairs Trading with High-Frequency Limit Order Data. - Chiu-Hung Su; Hsu-Chao Lai; Wen-Yueh Shih; Jun-Zhe Wang; Jiun-Long Huang (BigComp, 2022)

Structural break-aware pairs trading strategy using deep reinforcement learning. - Jing-You Lu; Hsu-Chao Lai; Wen-Yueh Shih; Yi-Feng Chen; Shen-Hang Huang; Hao-Han Chang; Jun-Zhe Wang; Jiun-Long Huang; Tian-Shyr Dai (J. Supercomput., 2022)

NEST: A Novel Ensemble Method for Estimating Spatio-Temporal Gait Parameters Using Inertial Measurement Units. - Chih-Chao Hsu; Hsu-Chao Lai; Guan-Yi Jhang; Jiun-Long Huang; Jun-Zhe Wang (J. Artif. Intell. Soft Comput. Res., 2025)