1.Jun Yu, Xingxin Xu, Fei Gao*, et al., “Towards Realistic Face Photo-Sketch Synthesis via Composition-Aided GANs ,” Arxiv Preprint, Arxiv:1712.00899. (Corresponding Author)
2.H. Jiang, Fei Gao*, Xingxin Xu, et al., “Attentive and Ensemble 3D Dual Path Networks for Pulmonary Nodules Classification,” Neurocomputing, 2019. (Accepted) (Corresponding Author)
3.Fei Gao, Ziyun Li, et al., “Style-adaptive Photo Aesthetic Rating via Convolutional Neural Networks and Multi-task Learning,” Neurocomputing, 2019. (Accepted)
4.Fei Gao, Jun Yu, Suguo Zhu, Qingming Huang, Qi Tian, “Blind Image Quality Prediction by Exploiting Multi-level Deep Representations,” Pattern Recognition, vol 81, pp. 432-442, Sep. 2018.
5.Jun Yu, Kejia Sun, Fei Gao *, Suguo Zhu, “Face biometric quality assessment via light CNN,” Pattern Recognition Letters, vol. 107, pp. 25-32, 1 May 2018. (Corresponding Author)
6.J. Yu, X. Yang, Fei Gao, et al., “Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking,” in IEEE Transactions on Cybernetics, vol. 47, no. 12, pp. 4014 - 4024, Dec. 2017
7.Fei Gao, Yi Wang, Panpeng Li, et al., “DeepSim: Deep similarity for image quality assessment,” Neurocomputing, vol. 157, pp. 104-114, 2017.
8.Fei Gao and Jun Yu, “Biologically inspired image quality assessment,” Signal Processing, vol. 124, pp. 210-219, 2016. (ESI Highly Cited Papers)
9.Fei Gao, Dacheng Tao, Xinbo Gao, and Xuelong Li, “Learning to rank for blind image quality assessment,” IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 10, pp. 2275-2290, Oct. 2015.
10.Xinbo Gao, Fei Gao, Dacheng Tao, and Xuelong Li, “Universal blind image quality assessment metrics via natural scene statistics and multiple kernel learning,” IEEE Transactions on Neural Networks and Learning Systems, vol. 24, no. 12, pp. 2013-2026, 2013.