Notes: All preprints below are our journal submissions 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]