• Assistant Professor
Zhangyang (Atlas) Wang

Educational Background

  • Ph.D., Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2016
  • B.E., Electronic Engineering and Information Science, University of Science and Technology of China, June 2012

Research Interests

    • Machine learning
    • Deep learning
    • Computer vision
    • Image and video processing
    • Optimization

Awards & Honors

  • Dissertation Completion Fellowship, University of Illinois at Urbana–Champaign, 2016
  • Thomas and Margaret Huang Award for Graduate Research, University of Illinois at Urbana–Champaign, 2016
  • Chinese Government Award for Outstanding Graduates Aboard, 2016
  • Baidu Research Fellowship, 2015
  • Cognitive Science/Artificial Intelligence Award, University of Illinois at Urbana–Champaign, 2015

Selected Publications

  • B. Li, X. Peng, Z. Wang, J. Xu, and D. Feng, “AOD-Net: All-in-One Dehazing Network”, In Proceedings of IEEE International Conference on Computer Vision (ICCV), 2017.
  • D. Liu, Z. Wang, Y. Fan, X. Liu, Z. Wang, S. Chang, and T. Huang, “Robust Video Super-Resolution with Learned Temporal Dynamics”, In Proceedings of IEEE International Conference on Computer Vision (ICCV), 2017.
  • Z. Wang, J. Liu, S. Huang, X. Wang and S. Chang, “Transformed Anti-Sparse Learning for Unsupervised Hashing”, In Proceedings of British Machine Vision Conference (BMVC), 2017.
  • Z. Wang, S. Chang, Y. Yang, D. Liu and T. Huang, "Studying Very Low Resolution Recognition Using Deep Networks", In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  • Z. Wang, D. Liu, S. Chang, Q. Ling, Y. Yang and T. Huang, "D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images", In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  • ​Z. Wang, S. Chang, J. Zhou, M. Wang and T. Huang, “Learning A Task-Specific Deep Architecture for Clustering”, In Proceedings of SIAM Conference on Data Mining (SDM), 2016.
  • Z. Wang, Q. Ling, and T. Huang, "Learning Deep ℓ0 Encoders", In Proceedings of the 30-th AAAI Conference on Artificial Intelligence (AAAI), 2016.
  • Z. Wang, Y. Yang, Z. Wang, S. Chang, J. Yang, and T. Huang, “Learning Super-Resolution Jointly from External and Internal Examples”, IEEE Transactions on Image Processing (TIP), vol. 24, no. 11, pp. 4359-4371, Nov. 2015.