7. Bogdan Myroniv, Yi Ren, Cheng-Wei Wu, Yu-Chee Tseng, “Analysis of Users’ Emotions Through Physiology,” Proceedings of International Conference on Genetic and Evolutionary Computing (ICGEC), pp 136-143, 2017. (Best Paper Award)

6. Deeporn Mungtavesinsuk, Yan-Ann Cheny, Cheng-Wei Wu, Ensa Bajo, Hsin-Wei Kao, Yu-Chee Tseng, “Using Nonverbal Information for Conversation Partners Inference by Wearable Devices,” Proceedings of EAI International Conference on IoT as a Service (IoTaaS), 2017. (Best Paper Award)

5. 高新惟,黃俐君,吳政瑋,曾煜棋, “Recognition of Human Queuing Behaviors Using Accelerometers,” Proceedings of International Conference on Advanced Information Technologies (AIT), 2017. (Best Paper Award)

4. Cheng-Wei Wu, Philippe Fournier-Viger, Jia-Yuan Gu, and Vincent S. Tseng, “Mining Closed+ High Utility Itemsets without Candidate Generation”, Proceedings of Conference on Technologies and Applications of Artificial Intelligence (TAAI), International Track, pp. 187-194, 2015. (Merit Paper Award)

3. Souleymane Zida, Philippe Fournier-Viger, Cheng-Wei Wu, Jerry Chun-Wei Lin, Vincent S. Tseng, “Efficient Mining of High-utility Sequential Rules”, Proceedings of International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM), pp 157-171, 2015. (Nominated for Best Paper Award)

2. Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng, “New Concise Representations of High Utility Itemsets using Generator Patterns”, Proceedings of International Conference on Advanced Data Mining and Applications (ADMA), pp. 30-43, 2014. (Best Paper Award)

1. Show-Jane Yen, Yue-Shi Lee, Cheng-Wei Wu, Chin-Lin Lin, “An Efficient Approach for Mining Frequent Closed Itemsets in Data Stream (在資料流的環境下有效率的探勘頻繁封閉項目集),” Proceedings of Conference on Artificial Intelligence and Applications (TAAI), 2008. (Best Paper Award in TAAI 2008, Acceptance Rate for The Best Paper = 1% (2/192))