Zhangyang (Atlas) Wang

Assistant Professor

Image of Atlas Wang

Office: HRBB 328C
Phone: 979.845.7977
Email: atlaswang@tamu.edu

Personal Webpage
Curriculum Vitae
Google Scholar Profile

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

Education

  • 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

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.