• D. Liu, B. Wen, J. Jiao, X. Liu, Z. Wang, and T. Huang, “Connecting Image Denoising and High-Level Vision Tasks via Deep Learning", submitted to IEEE Transactions on Image Processing (TIP), 2018. [Arxiv Link][Codes Available]


  • X. Zhang, Z. Wang, D. Liu, and Q. Ling, “DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification”, arXiv: 1809.00981, 2018. [Arxiv Link][Codes Available]


  • 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]


  • 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]

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.