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Wen-Huang Cheng

Professor

20032022

Research output per year

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Personal profile

Research Interests

Multimedia, Artificial Intelligence (AI), Computer Vision, Machine Learning, Social Media, Financial Technology (FinTech)

Experience

Education/Academic qualification

PhD, National Taiwan University

External positions

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Projects

可解釋性人工智慧技術的理論與應用探索

Cheng, W.

1/08/20 → 31/07/21

Project: Government Ministry › Ministry of Science and Technology

運用機器學習及區塊鏈技術提升數位金融系統之使用體驗及安全性(IV)

Cheng, W.

1/06/20 → 31/05/21

Project: Government Ministry › Ministry of Science and Technology

Deep Sensing And Situational Understanding In Self-driving Cars

Cheng, W.

1/06/20 → 31/05/21

Project: Government Ministry › Ministry of Science and Technology

CNN Model Compression Technology

Cheng, W.

15/04/20 → 20/11/20

Project: Government Ministry › Other Government Ministry Institute

Deep Learning Networks for Applications with Limited Labeling Data

Cheng, W.

1/01/20 → 31/12/20

Project: Government Ministry › Ministry of Science and Technology

Research Output

Correction to: Multimedia modeling (Multimedia modeling, (2020), LNCS 11962, 10.1007/978-3-030-37734-2)

Ro, Y. M., Cheng, W. H., Kim, J., Chu, W. T., Cui, P., Choi, J. W., Hu, M. C. & Neve, W. D., 1 Jan 2020, In : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 11962 LNCS, p. C1

Research output: Contribution to journal › Comment/debate

Open Access

    • Emotion recognition from galvanic skin response signal based on deep hybrid neural networks

    Susanto, I. Y., Pan, T. Y., Chen, C. W., Hu, M. C. & Cheng, W. H., 8 Jun 2020, ICMR 2020 - Proceedings of the 2020 International Conference on Multimedia Retrieval. Association for Computing Machinery, Inc, p. 341-345 5 p. (ICMR 2020 - Proceedings of the 2020 International Conference on Multimedia Retrieval).

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

    • Hybrid context enriched deep learning model for fine-grained sentiment analysis in textual and visual semiotic modality social data

    Kumar, A., Srinivasan, K., Cheng, W. H. & Zomaya, A. Y., Jan 2020, In : Information Processing and Management. 57, 1, 102141.

    Research output: Contribution to journal › Article

    • 12 Scopus citations

    LR3M: Robust Low-Light Enhancement via Low-Rank Regularized Retinex Model

    Ren, X., Yang, W., Cheng, W. H. & Liu, J., 1 Jan 2020, In : IEEE Transactions on Image Processing. 29, p. 5862-5876 15 p., 9056796.

    Research output: Contribution to journal › Article

    • 1 Scopus citations

    Message from the technical program committee chairs

    Wan, S., Zhu, C., Zhang, J., Liu, J., Mao, S., Cheng, W. H. & Lu, J., Jul 2020, In : Proceedings - IEEE International Conference on Multimedia and Expo. 2020-July, 9102954.

    Research output: Contribution to journal › Editorial