Tao Dai


Tao Dai 戴涛
Ph.D. Student
Department of Computer Science
Tsinghua University, Beijing, China


Email: daitao.edu AT gmail.com, dait14 AT mails.tsinghua.edu.cn
QQ: 1334079587

[CV] [Google Scholar] [Researchgate][DBLP] [LinkedIn] [Github]



Biography




Biography

Warm Greetings! I'm currently a second year Ph.D. candidate at the Department of Computer and Science of the Tsinghua University. I'm working on ITML projects under the guidance of Prof. Shu-Tao Xia. I completed my bachelor's degree with honor in Electronic Engineering (2010-2014) from Xidian University. My main research interests include machine learning, compressed sensing, image processing and computer vision, including image restoration and image quality assessmenet.

I am a visiting student (Oct. 2017 ~ Apr. 2018) in Department of Computing, The Hong Kong Polytechnic University, Hong Kong, under the supervision of Prof. Lei Zhang.

News


Education

Research Experiences


Publications  Google Scholar

-Journal Articles

  1. Entropy-based bilateral filtering with a new range kernel [PDF] [Code]
    Tao Dai,Weizhi Lu, Wei Wang, Jilei Wang, Shu-Tao Xia
    Signal Processing (SP), vol. PP, no. 137, pp. 223-234, 2017.

  2. A generic denoising framework via guided principal component analysis [PDF][Code]
    Tao Dai,Zhiya Xu, Haoyi Liang, Ke Gu, Qingtao Tang, Yisen Wang, Weizhi Lu, Shu-Tao Xia
    Journal of Visual Communication and Image Representation (JVCIR), Mar. 2017.

  3. Binary matrices for compressed sensing [PDF]
    Weizhi Lu,Tao Dai,Shu-Tao Xia
    IEEE Transactions on Signal Processing(TSP), Sept. 2017.

-Conference Papers

  1. Robust Survey Aggregation with Student-t Distribution and Sparse Representation [PDF] [Code]
    Qingtao Tang, Tao Dai(co-first), Li Niu, Yisen Wang, Shu-Tao Xia, Jianfei Cai
    2017 International Joint Conferences on Artificial Intelligence (IJCAI-2017), Melbourne, Sept. 2017. (Oral)

  2. Foveated Nonlocal Dual Denoising [PDF] [Code]
    Tao Dai, Ke Gu, Qingtao Tang, Kwok-Wai Hung, Yong-bing Zhang, Weizhi Lu, Shu-Tao Xia
    IEEE International Conference on Image Processing (ICIP-2017), Beijing, China, Sep. 2017. (Oral)

  3. Blind Quality Assessment of Multiply-distorted Images Based on Structural Degradation [PDF] [Code]
    Tao Dai, Ke Gu, Zhiya Xu, Qingtao Tang, Haoyi Liang, Yong-bing Zhang, Shu-Tao Xia
    IEEE International Conference on Image Processing (ICIP-2017), Beijing, China, Sep. 2017. (Oral)

  4. PMPA: A patch-based multiscale products algorithm for image denoising [PDF]
    Tao Dai, Chao-Bing Song, Ji-Ping Zhang, Shu-Tao Xia
    IEEE International Conference on Image Processing (ICIP-2015), Quebec, Canada, Sep. 2015. (Poster) ((Top 10% Paper Award))

  5. Student-t Process Regression with Student-t Likelihood [PDF] [Code]
    Qingtao Tang, Li Niu, Yisen Wang, Tao Dai, Jianfei Cai,Shu-Tao Xia
    2017 International Joint Conferences on Artificial Intelligence (IJCAI-2017), Melbourne, Sept. 2017. (Oral)

  6. Single-Frame Super-Resolution via Compressive Sampling on Hybrid Reconstructions [PDF]
    Ji-Ping Zhang, Tao Dai, and Shu-Tao Xia
    International Conference on Neural Information Processing (ICONIP-2015), Istanbul, Turkey, Oct. 2015. (Oral)

  7. Compressed Sensing Performance of Binary Matrices with Binary Column Correlations [PDF]
    Weizhi Lu, Tao Dai, Shu-Tao Xia
    Data Compression Conference (DCC-2017), America, Jun. 2017. (Oral)

  8. Deterministic constructions of binary measurement matrices with various sizes [PDF]
    Xin-Ji Liu, Shu-Tao Xia, Tao Dai
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-2015), Australia, Apr. 2015.


Professional Activities

-Reviewers
-Attend Conferences (Oral or Poster) and Invited Talks
-Memberships

Awards


Useful Links

Created on 2017/06/22. Last update : 2017/09/02

web
analytics