Hung-Yu Kao

Personal profile

Education

2003 PhD, Electrical Engineering, National Taiwan University

Research Interests

Data Mining
Information Retrieval
Machine Learning

Experience

2004/8~2011/7 Assistant Professor, Department of Computer Science and Information Engineering(CSIE), National Cheng Kung University
2011/8~2014/7 Associate Professor, Department of Computer Science and Information Engineering(CSIE), National Cheng Kung University

Fingerprint Dive into the research topics where Hung-Yu Kao is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

0 Similar Profiles

Websites Engineering & Materials Science

Genes Engineering & Materials Science

Data Mining Medicine & Life Sciences

Blogs Engineering & Materials Science

Proteins Engineering & Materials Science

Experiments Engineering & Materials Science

Ontology Engineering & Materials Science

PubMed Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

公共衛生及健康醫療應用之物聯網數據智慧加值技術-公共衛生及健康醫療應用之物聯網數據智慧加值技術(3/3)

Kao, H.

19-06-01 → 20-05-31

Project: Research project

深度學習強化的主題模型與隨機場域機率模型在文字探勘之研究

Kao, H.

17-08-01 → 18-07-31

Project: Research project

公共衛生及健康醫療應用之物聯網數據智慧加值技術-公共衛生及健康醫療應用之物聯網數據智慧加值技術(1/3)

Kao, H.

17-06-01 → 18-05-31

Project: Research project

使用多層次文獻探勘於自動化具編註價值生醫單元搜尋引擎之開發與研究

Kao, H.

16-08-01 → 17-07-31

Project: Research project

文字探勘於巨量生醫資訊的技術探討與應用

Kao, H.

16-08-01 → 17-07-31

Project: Research project

Research Output 1998 2019

925 Citations
13 h-Index
49 Conference contribution
36 Article
4 Paper
4 Editorial
4 More
- 3 Conference article
- 1 Chapter

C-3PO: Click-sequence-aware deeP neural network (DNN)-based Pop-uPs recOmmendation: I know you’ll click

Huang, T. T. H. D. & Kao, H. Y., 2019 Nov 1, In : Soft Computing. 23, 22, p. 11793-11799 7 p.

Research output: Contribution to journal › Article

Application programs

Recommendations

Neural Networks

Collaborative filtering

Recommender systems

2 Citations (Scopus)

R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections

Huang, T. H. D. & Kao, H-Y., 2019 Jan 22, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 2633-2642 10 p. 8622324. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Color

Neural networks

Color codes

Experiments

Convolution

Data-Driven and Deep Learning Methodology for Deceptive Advertising and Phone Scams Detection

Huang, T. H. D., Yu, C. M. & Kao, H. Y., 2018 May 9, Proceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017. Institute of Electrical and Electronics Engineers Inc., p. 166-171 6 p. (Proceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Marketing

Smartphones

Application programs

Learning systems

Neural networks

1 Citation (Scopus)

CDRnN: A high performance chemical-disease recognizer in biomedical literature

Lee, H. C. & Kao, H-Y., 2017 Dec 15, Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017. Yoo, I., Zheng, J. H., Gong, Y., Hu, X. T., Shyu, C-R., Bromberg, Y., Gao, J. & Korkin, D. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 374-379 6 p. (Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017; vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Data Mining

Knowledge Bases

PubMed

Names

Biomedical Research

3 Citations (Scopus)