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清華大學

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Brief Description of Research:


Recently, artificial intelligence (AI) has become a major research topic in various fields. There are more jobs that

require AI's related skills now. In view of this, a group of faculty members in our institute have been put together

to conduct research in big data analytics and machine learning (including deep learning) with applications in

multimedia signal processing (video summarization), social network analysis, recommender systems, and

precision marketing.

 

Smart Album System with Auto Captioner


 

The album can be organized “smartly’’ so that a picture can be searched by a keyword or a sentence!

DEEP LEARNING was used to automatically pick up the most important pictures and an improved LSTM was used to generate the semantic descriptions to boost user experiences.



 

Video Summarization and Captioning

A summarized video not only preserves the essential frames from the original video, but also captures their semantic information. With the proposed S2VT, SA, and data augmentation strategies, our approach further improves the performance of the semantic information. With the video summarization and captioning techniques, a user can easily seek any clips in a video by querying the semantic information!!



Face Hallucination for Very Low-Resolution Face Image

 

An effective and efficient identity-recognizable face hallucination technique for extreme low-resolution face images!

Left to right: low-res., interpolation, ours, and ground truths

 

Faculty members in the AI group:

*Prof. Cheng-Shang Chang、Prof. Bor-Sen Chen、Prof. Chong-Yung Chi、Prof. Duan-Shin Lee、

  Prof. Hwa-Chun Lin、Prof. Ching-Te Chiu、Prof. Jen-Ming Wu、Prof. Chia-Wen Lin、Prof. Hsi-Pin Ma、

  Prof. Yao-Win (Peter) Hong、Prof. Che Lin、Prof. Chih-Hao Huang

( *:Coordinator)

 

Projects:

1. Project Name:Knowledge Discovery and Its Applications of Large-scale Mobile Videos and Information for

                              5G Networks

  Project Members:Prof. Cheng-Shang Chang、Prof. Chia-Wen Lin、Prof. Chih-Hao Huang、

                                   Prof. Shan-Hung Wu、Prof. Duan-Shin Lee、Prof. Hwa-Chun Lin、

                                   Prof. Hwann-Tzong Chen、Prof. Min Sun、Prof. Hung-Min Sun、

                                   Prof. Jung-Chun Kao、Prof. Che-Rung Lee

  Project Period:November 2014 ~ July 2017

2. Project Name:Analysis of dynamic data linked by social networks

  Project Members:Prof. Duan-Shin Lee、Prof. Cheng-Shang Chang、Prof. Wing-Kai Hon

  Project Period:November 2014 ~ July 2017

3. Project Name:Large-Scale Cyber-Physical Data Analysis for Human-Centric Learning, Recommendation, and

                              Behavior Shaping

  Project Members:Prof. Yao-Win (Peter) Hong、Prof. I-Hsiang Wang (NTU)、Prof. Chi-Chun (Jeremy) Lee

                                  、Prof. Shih-Hau Fang (YZU)

  Project Period:June 2017 ~ May 2020

4. Project Name:Integrating deep learning, big data analytics, ChatBot, and customer relation management

                              systems for customer-centric precision marketing

  Project Members:Prof. Che Lin、Prof. Yun-Nung Chen (NTU)、Prof. Galit Shmueli、

                                   Prof. Li-Chen Cheng (SCU)

  Project Period:June 2017 ~ May 2020

 

Publications:

1. Cheng-Shang Chag, Lee, Duan-Shin Lee, Li-Heng Liou, Sheng-Min Lu and Mu-Huan Wu, “A probabilistic

    framework for structural analysis and community detection in directed networks”, to appear in IEEE/ACM

    Transactions on Networking.

2. Chih-Chung Hsu and Chia-Wen Lin*, “CNN-based joint clustering and representation learning with feature

    drift compensation for large-scale image data,” IEEE Trans. Multimedia (Special Issue on Large-Scale

    Multimedia Data Retrieval, Classification, and Understanding), July, 2017.

3. Lorenzo Ferrari, Anna Scaglione, Reinhard Gentz, and Y.-W. Peter Hong, “Convergence results on pulse

    coupled oscillator protocols in locally connected networks,” to appear in IEEE/ACM Transactions on

    Networking.

4. C.-H. Lin, Chong-Yung Chi, Y.-H. Wang, and T.-H. Chan, “A fast hyperplane-based minimum-volume

    enclosing simplex algorithm for blind hyperspectral unmixing,” IEEE Trans. Signal Processing, vol. 64, no. 8,

    pp. 1946-1961, Apr. 2016.

 

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