Research

Research Grants

1. Analyzing the Order of Internet Celebrity’s Live Streaming Using Heterogeneous Sequential Pattern Mining: A Case Study of Youtubers. PI. Ministry of Science and Technology (MOST 111-2410-H-305-021 -), 2022/08-2023/07. NT$571,000.

2. 以混合標籤序列樣式探勘網紅直播節目觀看順序：以YouTuber為例。PI。國立臺北大學，111年特色領域計畫，網紅經濟：內容呈現策略與資訊科技服務－子計畫二（111-NTPU_ORDA-F-002）。2022/01-2022/12。NT$200,384。 

3. A Novel Knowledge Discovery Model Using Interval-based Temporal Sequences: A Case Study of Semiconductor Supply Chain. PI. Ministry of Science and Technology (MOST 110-2410-H-305-065 -), 2021/08-2022/07. NT$408,000.

4. A Novel Clustering Model for Interval-based Temporal Sequences with Fuzzy Intensity. PI. Ministry of Science and Technology (MOST 109-2410-H-305-074 -), 2020/08-2021/07. NT$542,000.

5. A novel change-mining model for interval-based temporal patterns. PI. Ministry of Science and Technology (MOST 108-2410-H-029-051- ), 2019/08/01~2020/07/31, NT$629,000.

6. Mining consensus patterns from interval-based temporal and ranking sequence databases. PI. Ministry of Science and Technology (MOST 106-2410-H-029-018-), 2017/08-2018/07, NT$465,000.

7. Designing a reinforcement learning-based wireless sensor and actor networks. PI. Ministry of Science and Technology (MOST 103-2221-E-029-019-), 2014/08-2015/07, NT$483,000.

8. Designing a routing strategy for maximizing the lifetime of wireless multimedia sensor networks. PI. National Science Council (NSC 102-2218-E-029-001-), 2013/08-2014/07, NT$483,000.

9. Change discovery model for sequence-based classification patterns. Co-PI. Ministry of Science and Technology (MOST 106-2410-H-194-026-MY2), 2017/08-2019/07, NT$1,582,000.

10. Wisdom of crowds: A recommendation system to furnish interval-based temporal patterns. Co-PI. Ministry of Science and Technology (MOST 104-2410-H-194-088-MY2), 2015/08-2017/07, NT$1,842,000.

11. A simulation-based capacity planning model under uncertainty and complex scheduling. Co-PI. Macronix (NDA), 2013/10-2014/08, NT$1,300,000.

Journal Papers (SCI/SSCI)

1. Pu-Tai Yang, Chih-Yun Wu*, and  Anarmaa Ganbat (2019). Antecedents of online shopping intention: A cross-cultural comparison between Taiwan and Mongolia. Tunghai Management Review (21)1, 157-190.

2. Pu-Tai Yang, Cheng-Kui Huang*, Huan-Lin Chu, Yung-Ting Chuang (2018). Discovering diverse human behavior from two-dimensional preferences. Knowledge-Based Systems 152 11-25.

3. Cheng-Kui Huang, Pu-Tai Yang*, and Jen-Hung Teng (2018). A change detection model for the sequential cause-and-effect relationships. Decision Support Systems 106 30-43.

4. Cheng-Kui Huang, Pu-Tai Yang*, and Kun-Yu Hsieh (2018). Knowledge discovery of consensus and conflict interval-based temporal patterns: A novel group decision approach. Knowledge-Based Systems 140 201-213.

5. Pu-Tai Yang* and Seokcheon Lee (2012). A re-clustering hierarchy routing protocol using social welfare function in wireless sensor networks. International Journal of Distributed Sensor Networks.

6. Shang-Chia Chen, Shih-Kai Lin, Kun-Ta Wu, Chao-Ping Huang*, Pen-Hsiu Chang, N.C. Chen, Chin-An Chang, Hsian-Chu Peng, Chuang-Feng Shih, Kuo-Shung Liu, Hong-Syuan Wang, Pu-Tai Yang, C.-T. Liang, Y.H. Chang, Y.F. Chen (2005). Transport measurements on MOVPE-grown InN films, Microelectronics Journal, vol. 36, no. 3-6, pp. 428 – 430.

*: corresponding author.

Books

1. 楊溥泰。《應用統計學：使用Python》 （預計2023）

2. 周瑛琪、楊溥泰、盧慶樺 編著（2018/09/25）。《現代統計學（第二版）》，全華

3. 周瑛琪、楊溥泰、盧慶樺 編著（2017）。《現代統計學》。全華。

https://orcid.org/0000-0002-5514-1981

Peer-reviewed International Conference Proceedings

1. Pu-Tai Yang*, Tsu-Tang Liao, Chih-Jui Chen (2023). A Novel Two-Stage Data-mining Model Combining Gait Recognition and Temporal Sequence Mining. The 7th International Conference on Video and Image Processing (ICVIP 2023), December 14-17, 2023 in Kyoto, Japan

2. Pu-Tai Yang*, Ye-Xuan Chen, Tien-Jung Lu, and Chih-Jui Chen (2023). A Two-stage Gait Analysis Using Interval-based Sequential Pattern Mining. Proceedings of 2023 the 13th International Workshop on Computer Science and Engineering (WCSE 2023 Singapore), pp. 58-63, June 16-18, 2023.

3. Chuan-Yu Wang, Yuxuan Song, Chih-Yun Wu and Pu-Tai Yang* (2020). The Moderating Effect of Artificial Intelligence Phobia on the Relationship between Trust and Product Promotion Effectiveness: An Exploratory Study. 2020 the 11th International Conference on E-Education, E-Business, E-Management, and E-Learning (IC4E 2020), Ritsumeikan University, Osaka, Japan

4. Kai-Hao Yang, Yuxuan Song, Chih-Yun Wu and Pu-Tai Yang* (2020). An Exploratory Study of the Promotion Effectiveness of Recommender Systems. The 2020 3rd International Conference on Computers in Management and Business (ICCMB2020). Hosei University, Tokyo, Japan

5. Pu-Tai Yang*, Kai-Hao Yang, Ching-Chi Chen, Shwu-Min Horng, 2018. Subjective association rule mining: From point-based ranking sequence to interval-based temporal sequence. Proceedings of the 2018 International Conference on Big Data Management. Macau, China.

6. Pu-Tai Yang* and Chih-Jui Chen, 2017. Conflict detection in interval-based temporal sequences from wireless sensor networks. International Conference on Information Technology (ICIT 2017). Nanyang Technological University, Singapore.

7. Pu-Tai Yang* 2016. Mining associated ranking patterns from wireless sensor networks. International Conference on Engineering Technologies and Big Data Analytics (ETBDA 2016). Bangkok, Thailand.

8. Pu-Tai Yang, Chih-Yun Wu*, Kai-Chieh Yu, Po-Wei Lin, and Anarmaa Ganbat, 2015. A questionnaire on the development of green transportation acceptance. Proceedings of the 20th International Conference on Science, Technology and Management (ICSTM 2015). Tokyo, Japan.

9. Pu-Tai Yang* and Seokcheon Lee, 2014. Spanning tree of residual energy based on data aggregation for maximizing the lifetime of wireless multimedia sensor networks. 2014 International Conference on Industrial Engineering and Operations Management (IEOM 2014). Bali, Indonesia.

10. Pu-Tai Yang*, Seokcheon Lee, and Islam Ali, 2013. An iterative, cluster-based routing protocol based on energy welfare for maximizing network lifetime in wireless sensor networks. Industrial and Systems Engineering Research Conference (ISERC 2013). San Juan, Puerto Rico.

*: corresponding author.