Zhangyang (Atlas) Wang​

Notes: All preprints below are our journal submissi​ons under review. We typically do not post double-blind conference submissions as arXiv preprints.

  • Y. Liu, G. Zhao, B. Gong, Y. Li, R. Raj, N. Goel, S. Kesav, S. Gottimukkala, Z. Wang, W. Ren and D. Tao, “Improved Techniques for Learning to Dehaze and Beyond: A Collective Study”, arXiv:1807.00202, 2018. [Arxiv link][Codes Available]


  • M. Karimi, D. Wu, Z. Wang and Y. Shen, “DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through United Recurrent and Convolutional Neural Networks", submitted to Bioinformatics, 2018. [Arxiv link][Codes Available]


  • Z. Wang, H. Xu, H. Yang, D. Liu and J. Liu, ”Learning Simple Thresholded Features with Sparse Support Recovery", submitted to IEEE Transactions on Signal Processing (TSP), 2018. [Arxiv Link]


  • K. Sun, Z.Wang , D. Liu, R. Liu and Z. Zha, "lp -Norm Constrained Coding With Frank-Wolfe Network", submitted to IEEE Transactions on Signal Processing (TSP), 2018. [Arxiv Link][Codes Available]


  • D. Liu, B. Cheng, Z.Wang, H. Zhang, and T. Huang, "Enhance Visual Recognition under Adverse Conditions via Deep Networks", submitted to IEEE Transactions on Image Processing (TIP), 2017. [Arxiv Link]


  • B. Li , X. Peng, Z. Wang, J. Xu, and D. Feng, "An All-in-One Network for Dehazing and Beyond", submitted to IEEE Transactions on Multimedia (TMM), 2017. [Arxiv Link] [Codes Available]