黃琨義 (Kun-Yi Huang) | 南臺科技大學資訊工程系

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黃琨義 (Kun-Yi Huang)

	職　　稱：	助理教授
	辦公室：	C206-1
	分　　機：	3229
	電子郵件：	iamkyh77@stust.edu.tw
	個人網站：
	OfficeHour：

學歷
博士	國立成功大學	資訊工程所
碩士	南臺科技大學	資訊工程所
學士	南臺科技大學	資訊工程系

專長及研究領域:

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榮譽與獎勵
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期刊
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1	Kun-Yi Huang, Chung-Hsien Wu*, Ming-Hsiang Su, and Yu-Ting Kuo, “Detecting Unipolar and Bipolar Depressive Disorders from Elicited Speech Responses Using Latent Affective Structure Model,” IEEE Transactions on Affective Computing, DOI:10.1109/TAFFC.2018.2803178, vol. 11, no. 3, pp. 393-404, 2018. (SCIE, IF=6.288, Rank: 12/134, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
2	Kun-Yi Huang, Chung-Hsien Wu*, and Ming-Hsiang Su, “Attention-based Convolutional Neural Network and Long Short-Term Memory for Short-Term Detection of Mood Disorders based on Elicited Speech Responses,” Pattern Recognition, DOI: 10.1016/j.patcog.2018.12.016, vol. 88, pp. 668-678, 2019. (SCIE, IF=5.898, Rank: 14/134, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
3	Ming-Hsiang Su, Chung-Hsien Wu*, Kun-Yi Huang, and Tsung-Hsien Yang, “Cell-Coupled Long Short-Term Memory with L-Skip Fusion Mechanism for Mood Disorder Detection through Elicited Audiovisual Features,” IEEE Transactions on Neural Networks and Learning Systems, DOI:10.1109/TNNLS.2019.2899884, vol. 31, no. 1, pp. 124-135, 2019. (SCIE, IF=11.683, Rank: 2/134, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
4	Ming-Hsiang Su, Chung-Hsien Wu*, Kun-Yi Huang, and Wu-Hsuan Lin, “Response Selection and Automatic Message-Response Expansion in Retrieval-based QA Systems Using Semantic Dependency Pair Model,” ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), vol. 18, no. 1, pp. 3, 2018.
5	Tsung-Hsien Yang, Chung-Hsien Wu*, Kun-Yi Huang, and Ming-Hsiang Su, “Coupled HMM-based Multimodal Fusion for Mood Disorder Detection Through Elicited Audio-visual Signals,” Journal of Ambient Intelligence and Humanized Computing, vol. 8, no. 6, pp. 895-906, 2017.
6	Yu-Wei Hung, Yu-Hsien Chiu*, Wei-Hao Chen, Kun-Yi Huang, and Kuo-Sheng Cheng, “Acoustic Monitoring of Daily Activities based on Hidden Markov Model and Multidimensional Scaling,” Journal of the Chinese Institute of Engineers, vol. 38, no. 4, pp. 447-457, 2015.
7	Kun-Yi Huang, Chung-Hsien Wu*, Qian-Bei Hong, and Yuan-Rong Zeng, “Self-Reported Mood Detection Using LSTM-based Fusion of Emotion Expressions from Asynchronous Multimodal Inputs,” submitted to EURASIP Journal on Audio, Speech, and Music Processing
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