International Journal

  1. Xiaohu Yu, Artem Oganov, Qiang Zhu, Fei Qi and Guang-Rui Qian, “The stability and unexpected chemistry of oxide clusters,” Physical Chemistry Chemical Physics, 2018. Accepted 09 Nov 2018. doi: 10.1039/C8CP03519A (IF=3.906)
  2. Chen Xia, Fei Qi, Guangming Shi, and Chunhuan Lin, “Stereoscopic Saliency Estimation with Background Priors Based Deep Reconstruction,” Neurocomputing. 321: 126–138, Dec. 2018. doi: 10.1016/j.neucom.2018.09.009 Limited free access
  3. Chen Xia, Fei Qi, and Guangming Shi, “Bottom-up Visual Saliency Estimation with Deep Autoencoder-based Sparse Reconstruction,” IEEE Transactions on Neural Networks and Learning Systems, 27(6): 1227–1240, June 2016. doi: 10.1109/TNNLS.2015.2512898
  4. Chen Xia, Fei Qi, Guangming Shi, and Pengjin Wang, “Nonlocal Center-Surround Reconstruction-based Bottom-Up Saliency Estimation,” Pattern Recognition, 48(4): 1337–1348, April 2015. doi: 10.1016/j.patcog.2014.10.007
  5. Chang Wang, Fei Qi, Guangming Shi, and Xiaotian Wang, “Convex Combination Based Target Localization with Noisy Angle of Arrival Measurements,” IEEE Wireless Communications Letters, 3(1): 14–17, Feb. 2014. doi: 10.1109/WCL.2013.101613.130587
  6. Chang Wang, Fei Qi, Guangming Shi, and Jingbo Ren, “A linear combination-based weighted least square approach for target localization with noisy range measurements,” Signal Processing, 94(1): 202–211, Jan. 2014. doi: 10.1016/j.sigpro.2013.06.005
  7. Jinjian Wu, Guangming Shi, Weisi Lin, Anmin Liu, and Fei Qi, “Just Noticeable Difference Estimation for Images With Free-Energy Principle,” IEEE Trans. Multimedia, 15(7): 1705–1710, Nov. 2013. doi: 10.1109/TMM.2013.2268053
  8. Chang Wang, Fei Qi, Guangming Shi, and Xiaotian Wang. “A Sparse Representation-Based Deployment Method for Optimizing the Observation Quality of Camera Networks,” Sensors, 13(9): 11453–11475, Aug. 2013. doi: 10.3390/s130911453
  9. Fei Qi, Junyu Han, Pengjin Wang, Guangming Shi, and Fu Li. “Structure Guided Fusion for Depth Map Inpainting,” Pattern Recognition Letters. 34(1): 70–76, January 2013. doi: 10.1016/j.patrec.2012.06.003
  10. Jinjian Wu, Fei Qi, and Guangming Shi. “Non-Local Spatial Redundancy Reduction for Bottom-Up Saliency Estimation,” Journal of Visual Communication and Image Representation. 23(7): 1158–1166, October 2012. doi: 10.1016/j.jvcir.2012.07.010
  11. Jinjian Wu, Fei Qi, and Guangming Shi. “Self-Similarity Based Structural Regularity for Just Noticeable Difference Estimation,” Journal of Visual Communication and Image Representation. 23(6): 845-852, August 2012. doi: 10.1016/j.jvcir.2012.04.010
  12. Jie Lin, Guangming Shi, Xuyang Chen, Fei Qi, Li Zhang, and Xuemei Xie. “High-resolution ranging method based on low-rate parallel random sampling,” Digital signal processing, 22(2): 219–225, March 2012. doi: 10.1016/j.dsp.2011.11.006.
  13. Guangming Shi, Xuyang Chen, Xiaoxia Song, Fei Qi, and Ailing Ding, “Signal Matching Wavelet for Ultrasonic Flaw Detection in High Background Noise”. IEEE Trans. Ultrasonics, Ferroelectrics, and Frequency Control, 58(4): 776–787, 2011.
  14. Guangming Shi, Jie Lin, Xuyang Chen, Fei Qi, Danhua Liu, and Li Zhang, “UWB Echo Signal Detection with Ultra-Low Rate Sampling based on Compressed Sensing,” IEEE Trans. Circuits and Systems II: Express Briefs, 55(4): 379–383, 2008.
  15. Fei Qi, Qihe Li, Yupin Luo, and Dongcheng Hu. “Constraints on General Motions for Camera Calibration with One-Dimensional Objects,” Pattern Recognition, 40(6): 1785–1792, 2007.
  16. Fei Qi, Qihe Li, Yupin Luo, and Dongcheng Hu, “Camera Calibration with One-Dimensional Objects Moving under Gravity”, Pattern Recognition, 40(1): 343–345, 2007.
  17. Fei Qi, Yupin Luo, and Dongcheng Hu, “Recognition of Perspectively Distorted Planar Grids”, Pattern Recognition Letters, 27(14): 1725–1731, 2006.

National Journal

  1. Fu Li, Guangming Shi, Fei Qi, and Li Zhang. “Bandwidth Adaption for Kernel Particle Filter”, Journal of Systems Engineering and Electronics, 21(6), 2010.
  2. 陈旭阳, 石光明, 史思琦, 齐飞. “基于曲率仿射不变量的快速目标识别”, 系统工程与电子技术, 32(7):1384-1388, 2010.
  3. 李甫, 石光明, 张犁, 齐飞. “应用于光电目标跟踪的变窗宽核粒子滤波”, 光学精密工程, 18(3):716-722, 2010.
  4. 李甫,齐飞, 石光明, 张犁. “一种补偿的扩展Kalman粒子滤波”, 系统仿真学报, 21(15):4752-4755, 2009.
  5. Fu Li, Fei Qi, Guangming Shi, and Li Zhang. “Optimization-based particle filter for state and parameter estimation”, Journal of Systems Engineering and Electronics, 20(3): 479-484, 2009.

Conference

  1. Chen Xia, Fei Qi, Guangming Shi. “An Iterative Representation Learning Framework to Predict the Sequence of Eye Fixations,” Int’l Conf. Multimedia & Expo, July 2017. Hongkong.
  2. Chen Xia, Pengjin Wang, Fei Qi, and Guangming Shi. “Nonlocal Center-Surround Reconstruction-based Bottom-Up Saliency,” Int’l Conf. Image Processing, Sept. 2013. Melbourne, Australia.
  3. Jinjian Wu, Fei Qi, and Guangming Shi. “Image Quality Assessment based on Improved Structural SIMilarity,” Pacific-Rim Conf. Multimedia, PCM, Dec. 2012. Singapore.
  4. Chang Wang, Fei Qi, and Guangming Shi. “Observation Quality Guaranteed Layout of Camera Networks via Sparse Representation,” in Proc. Visual Communications and Image Processing, VCIP, Nov. 2011. Tainan, Taiwan.
  5. Jinjian Wu, Fei Qi, and Guangming Shi. “Unified Spatial Masking for Just-Noticeable Difference Estimation,” in Proc. APSIPA Annual Summit and Conference, APSIPA ASC, Oct. 2011. Xi’an, China.
  6. Junyu Han, Fei Qi, and Guangming Shi. “Enhancing Gradient Sparsity for Parametrized Motion Estimation,” in Proc. British Machine Vision Conference, BMVC, Sep. 2011. Dundee, UK.
  7. Junyu Han, Fei Qi, and Guangming Shi, “Gradient Sparsity for Piecewise Continuous Optical Flow Estimation,” in Proc. IEEE Int’l Conf. Image Processing, ICIP, Sep. 2011. Brussels, Belguim: IEEE Press.
  8. Jinjian Wu, Fei Qi, and Guangming Shi, “An improved model of pixel adaptive just-noticeable difference estimation,” in Proc. IEEE Int’l Conf. Acoustics, Speech, and Signal Processing, ICASSP, Mar. 2010. Dallas, Texas, USA: IEEE Press.
  9. Chang Wang, Fei Qi, Guangming Shi, “Nodes placement for optimizing coverage of visual sensor networks,” in Proc. 10th IEEE Pacific-Rim Conf. Multimedia, PCM, Dec. 2009. Bangkok, Thailand: IEEE Press.
  10. Fei Qi, Xiaowei Song, and Guangming Shi. “LDA based Color Information Fusion for Visual Objects Tracking”, in Proc. IEEE Int’l Conf. Image Processing, ICIP, Nov. 2009. Cairo, Egypt: IEEE Press.
  11. Fei Qi, Jinjian Wu, and Guangming Shi. “Extracting Regions of Attention by Imitating the Human Visual System”, in Proc. IEEE Int’l Conf. Acoustics, Speech and Signal Processing, ICASSP, Apr. 2009. Taipei, Taiwan: IEEE Press.
  12. Fei Qi, Yupin Luo, and Dongcheng Hu, “Distorted Grid Recognition with Its Application to Microarray Image Analysis”, in Proc. Third Int’l Conf. Image and Graphics, Dec. 2004. Hongkong, China: IEEE Computer Society.
  13. Fei Qi, Yupin Luo, and Dongcheng Hu, “Visual Tracking of Players through Occlusions in Low Resolution”, in Proc. Sixth IASTED Int’l Conf Signal and Image Processing, pp. 375-380, Aug. 2004. Honolulu, HI, USA: ACTA Press.
  14. Fei Qi and Chengying Hua, “Efficient Automated Microarray Image Analysis”, in Proc. Second Int’l Conf. Image and Graphics, Proceedings of SPIE, vol. 4875, pp. 567–574, Aug. 2002. Hefei, China: SPIE.