每年專案
個人檔案
學歷
- 2006 台灣大學電信工程學研究所博士
研究專長
- 資料探勘
- 資料庫系統
- 行動運算
- 網際網路資訊系統
經歷
- 2006~2011 新思科技股份有限公司資深工程師
與 UN SDG 相關的專業知識
聯合國會員國於 2015 年同意 17 項全球永續發展目標 (SDG),以終結貧困、保護地球並確保全體的興盛繁榮。此人的作品有助於以下永續發展目標:
指紋
查看啟用 Kun-Ta Chuang 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
- 1 類似的個人檔案
過去五年中的合作和熱門研究領域
國家/地區層面的近期外部共同作業。按一下圓點深入探索詳細資料,或
專案
- 15 已完成
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A Confidence-Based Power-Efficient Framework for Sleep Stage Classification on Consumer Wearables
Lai, H. C., Fang, P. H., Wu, Y. T., Ting, L. P. Y. & Chuang, K. T., 2024, Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024. Ding, W., Lu, C-T., Wang, F., Di, L., Wu, K., Huan, J., Nambiar, R., Li, J., Ilievski, F., Baeza-Yates, R. & Hu, X. (編輯). Institute of Electrical and Electronics Engineers Inc., p. 1804-1813 10 p. (Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024).研究成果: Conference contribution
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Adaptive Knowledge Sharing in Multi-Task Learning: Insights from Electricity Data Analysis
Chang, Y. H., Ting, L. P. Y., Yin, W. C., Su, K. W. & Chuang, K. T., 2024, Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2024 Workshops, RAFDA and IWTA, Proceedings. Wang, Z. & Tan, C. W. (編輯). Springer Science and Business Media Deutschland GmbH, p. 148-160 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 14658 LNAI).研究成果: Conference contribution
1 引文 斯高帕斯(Scopus) -
An Explore-Exploit Workload-Bounded Strategy for Rare Event Detection in Massive Energy Sensor Time Series
Ting, L. P. Y., Chao, R., Chang, C. S. & Chuang, K. T., 2024 6月 28, 於: ACM Transactions on Intelligent Systems and Technology. 15, 4, 69.研究成果: Article › 同行評審
開啟存取 -
Modeling Transitions of Inter-segment Patterns for Time Series Representation
Sun, I. F., Ting, L. P. Y., Su, K. W. & Chuang, K. T., 2024, Technologies and Applications of Artificial Intelligence - 28th International Conference, TAAI 2023, Proceedings. Lee, C-Y., Lin, C-L. & Chang, H-T. (編輯). Springer Science and Business Media Deutschland GmbH, p. 61-74 14 p. (Communications in Computer and Information Science; 卷 2074 CCIS).研究成果: Conference contribution
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Multi-agent Reinforcement Learning for Online Placement of Mobile EV Charging Stations
Ting, L. P. Y., Lin, C. C., Lin, S. H., Chu, Y. L. & Chuang, K. T., 2024, Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Proceedings. Yang, D-N., Xie, X., Tseng, V. S., Pei, J., Huang, J-W. & Lin, J. C-W. (編輯). Springer Science and Business Media Deutschland GmbH, p. 284-296 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 14649 LNAI).研究成果: Conference contribution