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计算成像    深度学习、机器学习、稀疏重建   深度信息获取   
 主观感知、成像质量评价、视觉显著性估计    仿生动态成像、脑电信号处理与分析  超声探测  
图像处理（降噪、增强、修复、超分辨、编码）  微波探测   压缩感知   
计算机视觉（目标检测、识别，场景理解） 多速率滤波器组与小波  

 

计算成像：
  1. --Lizhi Wang, Zhiwei Xiong, Hua Huang, Guangming Shi, Feng Wu, Wenjun Zeng. High-Speed Hyperspectral Video Acquisition By Combining Nyquist and Compressive Sampling. IEEE Trans. on Pattern Analysis and Machine Intelligence（TPAMI）, vol.41, no.4, pp.857-870, 2019. (机器学习领域顶级期刊)
  2. --Lizhi Wang, Zhiwei Xiong, Guangming Shi, Wenjun Zeng, Feng Wu. Simultaneous Depth and Spectral Imaging With a Cross-Modal Stereo System. IEEE Trans. Circuits Syst. Video Techn. vol.28, no.3, pp. 812-817, 2018.
  3. --Lizhi Wang,Zhiwei Xiong,Guangming Shi, Wenjun Zeng, Feng Wu. Adaptive Nonlocal Sparse Representation for Dual-Camera Compressive Hyperspectral Imaging. IEEE Trans. on Pattern Analysis and Machine Intelligence（TPAMI）,vol.39, no.10, pp.2104-2111, 2017. (机器学习领域顶级期刊)
  4. --Lizhi Wang, Zhiwei Xiong, Guangming Shi, Wenjun Zeng, Feng Wu. Compressive Hyperspectral Imaging with Complementary RGB Measurements,VCIP2016.(最佳论文奖)
  5. --Yaohai Lin, Xuemei Xie, Guangming Shi, Danhua Liu, and Dahua Gao. Compressive spectral imaging using variable number of measurements. Applied optics, 2015, 54(19): 5882-5888.
  6. Lizhi Wang, Zhiwei Xiong, Dahua Gao, Guangming Shi and Feng Wu. Dual-camera design for coded aperture snapshot spectral imaging. Applied optics, vol.54, no.4, pp.848-858, 2015.
  7. Lizhi Wang, Zhiwei Xiong, Dahua Gao, Guangming Shi, Wenjun Zeng, Feng Wu. High-speed Hyperspectral Video Acquisition with a Dual-camera Architecture. IEEE Conference on Computer Vision and Pattern Recognition（CVPR）,2015:4942-4950. CCF-A类会议(计算机视觉三大顶会之一)
  8. --Yi Niu, Yang Liu,Guangming Shi, Dahua Gao, and Guo Li. A New Optical Surface Measurement Method with Iterative Sparsity-Constrained Threshold Phase Retrieval Algorithm," Scientific World Journal, vol. 2014, Article ID 548395, 7 pages, 2014.
  9. Dahua Gao, Danhua Liu, Xuemei Xie, Xiaolin Wu,Guangming Shi. High Resolution Multispectral Imaging with Random Coded Exposure. Journal of Applied Remote Sensing,7(1), 073695 (Sep 25, 2013).
  10. Y H Lin , G M Shi, D H Gao, D H Liu. High-resolution spectral imaging based on coded dispersion. Applied optics, 2013, vol. 52, Issue 5, pp.1041-1048.
  11. Shi Guangming, Gao Dahua, Song Xiaoxia, Xie Xuemei, Chen Xuyang, Liu Danhua. High-resolution imaging via moving random exposure and its simulation. IEEE Trans. on Image Processing, vol. 20, no. 1, pp.276-282, Jan. 2011. (计算机领域JCR一区)
  12. Dahua Gao, Xiaolin Wu, Guangming Shi, Lei Zhang. Color Demosaicking with an Image Formation Model and Adaptive PCA. Journal of Visual Communication and Image Representation, vol. 23, no. 7, pp.1019-1030, 2012.
  13. Zhang Lei, Dong Weisheng, Wu Xiaolin, Shi Guangming. Spatial-temporal color video reconstruction from noisy CFA sequence.  IEEE Trans. on Circuits and Systems for Video Technology, vol. 20, no. 6, pp.838-847, 2010.



深度学习、机器学习、稀疏重建：
  1. --T. Huang, W. Dong, J. Liu, F. Wu, G. Shi, and X. Li. Accelerating convolutional neural network via structured Gaussian scale mixture models: a joint grouping and pruning approach. IEEE Journal of Selected Topics on Signal Processing, in press, 2020.
  2. --X. Lu, H. Huang, W. Dong, G. Shi, and X. Li. Beyond network pruning: a joint  search-and-training approach. IJCAI, 2020. (CCF-A类会议)
  3. --Q. Ning, W. Dong, F. Wu, J. Wu, J. Lin, and G. Shi. Spatial-temporal Gaussian scale mixture modeling for foreground estimation.  AAAI 2020.  (CCF-A类会议)
  4. --Wang Z, Li F, Shi G, et al. Network pruning using sparse learning and genetic algorithm. Neurocomputing, 2020, 404.
  5. --W. Dong, H. Wang, F. Wu, G. Shi, and X. Li. Deep spatial-spectral representation learning for hyperspectral image denoising. IEEE Trans. on Computational Imaging, vol. 5, no. 4, pp. 635-648, 2019.
  6. --Weisheng Dong, Peiyao Wang, Wotao Yin, Guangming Shi. Denoising Prior Driven Deep Neural Network for Image Restoration. IEEE Trans. on Pattern Analysis and Machine Intelligence（TPAMI）, vol.41, no.10, pp. 2305-2318, 2019.(机器学习领域顶级期刊)
  7. --Fei Zhang, Guangming Shi. Co-Representation Network for Generalized Zero-Shot Learning,ICML2019. CCF-A类会议（机器学习顶级会议）
  8. -- Pengfei Wang, Chengquan Zhang, Fei Qi, Zuming Huang, Mengyi En, Junyu Han, Jingtuo Liu, Errui Ding, and Guangming Shi. A Single-Shot Arbitrarily Shaped Text Detector based on Context Attended Multi-Task Learning,” In Proceedings of the 27th ACM International Conference on Multimedia (MM ‘19), Oct. 2019. Nice, France (CCF A类会议)
  9. --X Lu,  H  Wang, W  Dong, F Wu, Z Zheng, and G Shi. Learning a Deep Vecto Quantization Network for Image Compression. IEEE Access,  vol.  7,  pp.  118815-118825, 2019.
  10. --Yongbo Li, Weisheng Dong, Xuemei Xie, Guangming Shi, Jinjian Wu, Xin Li. Image Super-Resolution With Parametric Sparse Model Learning. IEEE Trans. on Image Processing, vol.27, no.9, pp. 4638-4650, 2018. (计算机领域JCR一区)
  11. --Jianqiang Song, Xuemei Xie, Guangming Shi, Weisheng Dong. Exploiting class-wise coding coefficients: Learning a discriminative dictionary for pattern classification. Neurocomputing 321: 114-125, 2018.
  12. --T. Huang, W. Dong, X. Xie, G. Shi, and X. Bai. Mixed noise removal via laplacian scale mixture modeling and nonlocal low-rank approximation. IEEE Trans. on Image Processing, 2017, 26(7): 3171-3186. (计算机领域JCR一区)
  13. --W. Dong, G. Shi, X. Li, K. Peng, J. Wu, and Z. Guo. Color-guided depth recovery via joint local structural and nonlocal low-rank regularization. IEEE Trans. on Multimedia, vol.19, no.2, pp.293-301, 2017. (计算机领域JCR一区)
  14. --Weisheng Dong, Fazuo Fu, Guangming Shi, and Xun Cao, Jinjian Wu, Guangyu Li, and Xin Li. Hyperspectral Image Super-Resolution via Non-Negative Structured Sparse Representation. IEEE Trans. On Image Processing, vol. 25, no. 5, pp. 2337-2352, May 2016.( 计算机领域JCR一区，ESI高被引论文)
  15. --Wei Xiao, Guangming Shi,Bin Li,Jizheng Xu,Feng Wu. Fast Hash-based Inter Block Matching for Screen Content Coding. IEEE Trans. on Circuits and Systems for Video Technology,2016.2016.2643701.
  16. --Y. Li, W. Dong, X. Xie, G. Shi, X. Li, and D. Xu. Learning parametric sparse models for image super-resolution. In Proc. of NIPS( Conference on Neural Information Processing Systems), 2016. CCF-A类会议（人工智能领域顶会之一）
  17. --Li Yongbo, Dong Weisheng, Shi Guangming, Xie Xuemei. Learning Parametric Distributions for Image Super-Resolution: Where Patch Matching Meets Sparse Coding. ICCV 2015. CCF-A类会议(计算机视觉三大顶会之一)
  18. --W. Dong, G. Shi, Y. Ma, and X. Li. Image Restoration via Simultaneous Sparse Coding: Where Structured Sparsity Meets Gaussian Scale Mixture.  International Journal of Computer Vision (IJCV), vol.114, no.2-3, pp.217-232, 2015.
  19. --Weisheng Dong, Guangming Shi, Xiaocheng Hu, and Yi Ma. Nonlocal sparse and low-rank regularization for optical flow estimation. IEEE Trans. on Image Processing, vol. 23, no. 10, pp. 4527-4538, 2014. (计算机领域JCR一区)
  20. --Weisheng Dong, Lei Zhang, Rastislav Lukac, and Guangming Shi. Sparse representation based image interpolation with nonlocal autoregressive modeling. IEEE Trans. on Image Processing, vol.22, no.4, pp. 1382-1394, 2013. (计算机领域JCR一区)
  21. --Weisheng Dong, Lei Zhang, Guangming Shi, and Xin Li. Nonlocally Centralized Sparse Representation for Image Restoration. IEEE Trans. on Image Processing,vol.22, no.4, pp. 1620-1630, 2013. (计算机领域JCR一区，ESI高被引论文)
  22. --Weisheng Dong, Guangming Shi, Xiaolin Wu, and Lei Zhang, "A Learning-based Method for Compressive Image Recovery", Journal of Visual Communication and Image Representation, vol.24,no.7,pp.1055-1063, 2013.
  23. Dong, Weisheng; Li, Xin; Zhang, Lei; Shi, Guangming. Sparsity-based image denoising via dictionary learning and structural clustering. IEEE Computer Vision and Pattern Recognition(CVPR),pp.457-464, 2011. CCF-A类会议(计算机视觉三大顶会之一)


深度信息获取：

  1. Boxun Fu, Fu Li*, et al..Single-Shot Colored Speckle Pattern for High Accuracy Depth Sensing. IEEE Sensors Journal, 2019, PP(99):1-1.
  2. --LiLi Yang, Fu Li*, Guangming Shi, et al.  Frequency-division-multiplexing Based Period-coded Fringe Pattern for Reliable Depth Sensing. Journal of the European Optical Society-Rapid Publications, 2018,14(2):1-13.
  3. --Guangming Shi, Ruodai Li, Fu Li, Yi Niu, Lili Yang. Depth sensing with coding-free pattern based on topological constraint. J. Visual Communication and Image Representation 55: 229-242,2018.
  4. --Fu Li, Baoyu Zhang, Guangming Shi, Yi Niu, Ruodai Li, Lili Yang and Xuemei Xie.  Single-Shot Dense Depth Sensing with Color Sequence Coded Fringe Pattern. Sensors, 17(11), 2558,2017.
  5. --Ruodai Li, Fu Li, Yi Niu, Guangming Shi, Lili Yang, and Xuemei Xie. Maximum a posteriori-based depth sensing with a single-shot maze pattern. Optics Express ,25(21):25332-25352,2017.
  6. --Lili Yang, Fu Li, Zhiwei Xiong, Guangming Shi, Yi Niu, Ruodai Li. Single-shot dense depth sensing with frequency-division multiplexing fringe projection. Journal of Visual Communication and Image Representation, 46: 139-149,2017.
  7. --Fu Li, Dandan Jiao, Guangming Shi, Senior Member, IEEE, Yi Niu, Chunxiao Fan, and Xuemei Xie. An AR Based Fast Mode Decision for H.265/HEVC Intra Coding. Multimedia Tools and Applications,75 (12):1-21,2016.
  8. --Chunxiao Fan, Yi Niu, Guangming Shi, Fu Li, Fei Qi, Xuemei Xie, Dandan Jiao. An Improved Signed Digit Representation Approach for Constant Vector Multiplication. IEEE Trans. on Circuits and Systems II: Express Briefs, 2016: 1–5.
  9. --Guangming Shi, Lili Yang, Fu Li , Yi Niu, Ruodai Li, Zhefeng Gao. Square wave encoded fringe patterns for high accuracy depth sensing. Applied Optics,54(12): 3796-3804,2015.
  10. --Fu Li, Shan Gao, Guangming Shi, Qin Li, Lili Yang, Ruodai Li, Xuemei Xie，“Single shot dual-frequency structured light based depth sensing,” IEEE Journal of Selected Topics in Signal Processing,9(3): 384-395,2015.
  11. --Chongyu Chen, Jianfei Cai, Jianmin Zheng, Tat Jen Cham, and Guangming Shi, Kinect Depth Recovery Using a Color-guided, Region-adaptive, and Depth-selective framework. ACM Trans. on Intelligent Systems and Technology (ACM TIST), 2015,6(2):1-19.
  12. --Qin Li, Fu Li, Guangming Shi, Shan Gao, Ruodai Li, Lili Yang, Xuemei Xie, "One-shot depth acquisition with a random binary pattern," Applied Optics,53(30): 7095-7102,2014.
  13. --Qin Li, Fu Li, Guangming Shi, Fei Qi, Yuexin Shi, and Shan Gao,"Dense depth acquisition via one-shot stripe structured light," IEEE International Conference on Visual Communications and Image Processing (VCIP). 2013:1-6.


仿生动态成像、脑电信号处理与分析：
  1. --Jinjian Wu, Chuanwei Ma, Leida Li, Weisheng Dong, Guangming Shi, “Probabilistic Undirected Graph Based Denoising Method for Dynamic Vision Sensor”, IEEE Trans. on Multimedia, Early Access, May. 2020. (计算机领域JCR一区)
  2. --Xuemei Xie, Shu Zhang, Jinjian Wu, Xun Xu, Guangming Shi, Jianyu Chen. A Real-Time Rock-Paper-Scissor Hand Gesture Recognition System Based on FlowNet and Event Camera. PRCV (1) 2019: 98-109
  3. --Guangming Shi, Zuozhi Liu, Xiaotian Wang, Chengyu T. Li, Xiaowei Gu. Object-dependent sparse representation for extracellular spike detection. Neurocomputing, vol.266, pp.674-686, 2017.
 


主观感知、成像质量评价、视觉显著性估计:

  1. --Jinjian Wu, Jupo Ma, Fuhu Liang, Weisheng Dong, Guangming Shi, Weisi Lin. End-to-End Blind Image Quality Prediction with Cascaded Deep Neural Network.  IEEE Trans. on Image Processing, vol. 29, pp. 7414-7426, 2020. (计算机领域JCR一区)
  2. --Leida Li, Yu Zhou, Jinjian Wu, Fu Li, Guangming Shi. Quality Index for View Synthesis by Measuring Instance Degradation and Global Appearance. IEEE Trans. on Multimedia, DOI: 10.1109/TMM.2020.2980185, 2020. (计算机领域JCR一区)
  3. --Leida Li, Yu Zhou, Ke Gu,Yuzhe Yang,Yuming Fang. Blind Realistic Blur Assessment Based on Discrepancy Learning. IEEE Trans. on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2019.2947450, 2020.
  4. --Leida Li, Xi Chen, Jinjian Wu, Shiqi Wang, Guangming Shi, “No-reference Quality Index of Depth Images Based on Statistics of Edge Profiles for View Synthesis”, Information Sciences, vol. 516, pp. 205-219, 2020.
  5. --Jupo Ma, Jinjian Wu*, Leida Li, Weisheng Dong, Xuemei Xie. Active Inference of GAN for No-Reference Image Quality Assessment.  IEEE ICME 2020 (Oral).
  6. --Hancheng Zhu, Leida Li*, Jinjian Wu, Weisheng Dong, Guangming Shi. MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 14143-14152, Seattle, USA, June 14-19, 2020. CCF-A类会议(计算机视觉三大顶会之一)
  7. --Chen Xia, Junwei Han, Fei Qi, and Guangming Shi. Predicting Human Saccadic Scanpaths Based on Iterative Representation Learning. IEEE Trans. on Image Processing, 28(7): 3502-3515, July 2019. (计算机领域JCR一区)
  8. --Leida Li, Xi Chen, Yu Zhou, Jinjian Wu, Guangming Shi. Depth Image Quality Assessment for View Synthesis Based on Weighted Edge Similarity. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 17-25, Long Beach, CA, USA, June 16-20, 2019. CCF-A类会议(计算机视觉三大顶会之一)
  9. --Jinjian Wu, Yongxu Liu, Weisheng Dong, Guangming Shi, Weisi Lin. Quality Assessment for Video with Degradation along Salient Trajectories.  IEEE Trans. On Multimedia, Vol. 21, No. 11, pp. 2738-2749, Nov. 2019. (计算机领域JCR一区)
  10. --Jinjian Wu, Man Zhang, Leida Li, Weisheng Dong, Guangming Shi, Weisi Lin. No-reference image quality assessment with visual pattern degradation. Information Sciences, 2019, 504: 487-500. (计算机领域JCR一区)
  11. --Guangming Shi, Wenfei Wan, Jinjian Wu*, Xuemei Xie, Weisheng Dong, Hong Ren Wu, “SISRSet: Single Image Super-Resolution Subjective Evaluation Test and Objective Quality Assessment”, Neurocomputing, Volume 360, 30 September 2019, Pages 37-51.
  12. --Weiping Ji, Jinjian Wu*, Man Zhang, Guangming Shi, Xuemei Xie. Blind Image Quality Assessment with Joint Entropy Degradation. IEEE Access, Vol.7, pp. 30925-30936,2019.
  13. --Jinjian Wu, Jichen Zeng, Weisheng Dong, Guangming Shi, Weisi Lin. Blind Image Quality Assessment with Hierarchy: Degradation From Local Structure to Deep Semantics.Journal of Visual Communication and Image Representation, vol.58,pp.353-362,2019.
  14. --Weiping Ji, Jinjian Wu∗, Guangming Shi, Wenfei Wan, Xuemei Xie. Blind Image Quality Assessment with Semantic Information. Journal of Visual Communication and Image Representation,vol.58:195-204,2019.
  15. --Leida Li, Hancheng Zhu, Sicheng Zhao, Guiguang Ding, Hongyan Jiang, Allen Tan. Personality Driven Multi-task Learning for Image Aesthetic Assessment. IEEE International Conference on Multimedia and Expo (ICME), pp. 430-435, Shanghai, China, July 8-12, 2019. 
  16. --Leida Li, Yuzhe Yang, Hancheng Zhu, “Naturalness Preserved Image Aesthetic Enhancement with Perceptual Encoder Constraint”, ACM International Conference on Multimedia Retrieval (ICMR), pp. 364-372, Ottawa, Canada, June 10-13, 2019.
  17. --Hao Li, Fei Qi, Guangming Shi, and Chunhuan Lin. A Multiscale Dilated Dense Convolutional Network for Saliency Prediction with Instance-Level Attention Competition.  Journal of Visual Communication and Image Representation, 64: 102611, Oct. 2019.
  18. --. Fei Qi, Chunhuan Lin, Guangming Shi, and Hao Li. A Convolutional Encoder-Decoder Network with Skip Connections for Saliency Prediction.  IEEE Access, 7: 60428–60438, May 2019.
  19. --Jinjian Wu, Jichen Zeng, Weisheng Dong, Guangming Shi, Weisi Lin. Blind Image Quality Assessment with Hierarchy: Degradation From Local Structure to Deep Semantics.  Journal of Visual Communication and Image Representation, 2018.
  20. --Weiping Ji, Jinjian Wu∗, Guangming Shi, Wenfei Wan, Xuemei Xie. Blind Image Quality Assessment with Semantic Information. Journal of Visual Communication and Image Representation, 2018.
  21. --Jinjian Wu, Yongxu Liu, Leida Li, Guangming Shi.Attended Visual Content Degradation Based Reduced Reference Image Quality Assessment. IEEE Access 6: 12493-12504,2018.
  22. --Jinjian Wu, Weisi Lin, and Guangming Shi. A Survey of Visual Just Noticeable Difference Estimation. Frontiers of Computer Science, 2018 (10) :1-12.
  23. --Jinjian Wu, Weisi Lin, and Guangming Shi. A Survey of Visual Just Noticeable Difference Estimation”, Frontiers of Computer Science, 2018 (10) :1-12.
  24. --Chen Xia, Fei Qi, Guangming Shi, and Chunhuan Lin. Stereoscopic Saliency Estimation with Background Priors Based Deep Reconstruction. Neurocomputing. 321: 126–138, Dec. 2018.
  25. --Jinjian Wu, Jichen Zeng, Yongxu Liu, Guangming Shi, and Weisi Lin. Hierarchical Feature Degradation based Blind Image Quality Assessment. IEEE ICCV2017. CCF-A类会议(计算机视觉三大顶会之一)
  26. --Xuemei Xie, Yazhong Zhang, Jinjian Wu*, et al. Bag-of-Words Feature Representation for Blind Image Quality Assessment with Local Quantized Pattern. Neurocomputing, vol.266, no.2017, pp.176-187, 2017.
  27. --Jinjian Wu, Leida Li, Weisheng Dong, Guangming Shi, Weisi Lin, and C.-C. Jay Kuo. Enhanced Just Noticeable Difference Model for Images with Pattern Complexity.  IEEE Trans. On Image Processing, vol.26, no.6, pp.2682-2693,2017. (计算机领域JCR一区)
  28. --Chen Xia, Fei Qi, Guangming Shi. Bottom-up Visual Saliency Estimation with Deep Autoencoder-based Sparse Reconstruction. IEEE Trans. on Neural Networks and Learning Systems, 27(6): 1227–1240, June 2016.
  29. --Jinjian Wu, Weisi Lin, Yuming Fang, Leida Li, Guangming Shi, and Issac Niwas. Visual Structural Degradation based Reduced-Reference Image Quality Assessment. Signal Processing: Image Communication, Vol. 47, PP. 16–27, Sep. 2016.
  30. --Jinjian Wu, Weisi Lin, Guangming Shi, Leida Li. Orientation Selectivity based Visual Pattern for Reduced-Reference Image Quality Assessment. Information Science, vol.351, pp.18-29, 2016.
  31. --Jinjian Wu, Weisi Lin, Guangming Shi, Yazhong Zhang, Weisheng Dong, Zhibo Chen. Visual Orientation Selectivity based Structure Desciription. IEEE Trans. On Image Processing, vol. 24, no. 11, pp. 4602-4613,2015. (计算机领域JCR一区)
  32. --Yazhong Zhang, Jinjian Wu, Guangming Shi, Xuemei Xie, Yi Niu, Chunxiao Fan. Reduced-Reference Image Quality Assessment Based on DCT Entropy. IEICE Trans. on Fundamentals.vol. E98-A, No. 12, pp. 2642-2649, 2015.
  33. --Xia chen,Qi Fei, Shi Guanmging,Wangpengjin.Nonlocal Center-Surround Reconstruction-based Bottom-Up Saliency Estimation. Pattern Recognition, vol.48,no. 4,pp.1337-1348,2015.
  34. -- Jinjian Wu, Weisi Lin, and Guangming Shi. Image Quality Assessment with Degradation on Spatial Structure. IEEE Signal Processing Letter, vol.21, no.4, pp.437-440, Apr. 2014.
  35. -- J. Wu, W. Lin, G. Shi, A. Liu. Perceptual Quality Metric with Internal Generative Mechanism. IEEE Trans. on Image Processing, vol. 22, no. 1, pp. 43-54, Jan. 2013. (计算机领域JCR一区)
  36. -- Jinjian Wu, Weisi Lin, Guangming Shi, Xiaotian Wang, and Fu Li. Pattern Masking Estimation in Image with Structural Uncertainty. IEEE Trans. on Image Processing, vol. 22, no. 12, pp.4892-4904, Dec. 2013. (计算机领域JCR一区)
  37. -- Jinjian Wu, Weisi Lin, Guangming. Shi, Anmin Liu. A Perceptual Quality Metric with Internal Generative Mechanism. IEEE Trans. on Image Processing, vol. 22, no. 1, pp. 43 –54, Jan. 2013. (计算机领域JCR一区, ESI高被引论文)
  38. -- J. Wu, F. Qi, G. Shi, and Y. Lu. Non-local spatial redundancy reduction for bottom-up saliency estimation. Journal of Visual Communication and Image Representation, vol. 23, no. 7, pp. 1158-1166, 2012.
  39. -- Jinjian Wu, Fei Qi, and Guangming Shi. Self-Similarity Based Structural Regularity for Just Noticeable Difference Estimation. Journal of Visual Communication and Image Representation, vol. 23, no. 6, pp. 845-852, August, 2012.


图像处理（降噪、增强、修复、超分辨、编码）：

  1. --X. Lu, H. Wang, W. Dong, F. Wu, Z. Zheng and G. Shi. Learning a Deep Vector Quantization Network for Image Compression. IEEE Access, vol. 7, pp. 118815-118825, 2019
  2. --Weisheng Dong*, Tao Huang, Guangming Shi, Yi Ma, Xin Li. Robust Tensor Approximation with Laplacian Scale Mixture Modeling for Multiframe Image and Video Denoising. IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 6, pp. 1435-1448, 2018.
  3. --Yang Jiao, Yi Niu, Lin Liu, Guanghui Zhao, Guangming Shi, Fu Li. Dynamic Range Reduction of SAR Image via Global Optimum Entropy Maximization With Reflectivity-Distortion Constraint. IEEE Trans. Geoscience and Remote Sensing, vol. 56, no.5, pp.2526-2538, 2018.
  4. --Cuiling Lan, Jizheng Xu, Wenjun Zeng, Guangming Shi, Feng Wu.Variable Block-Sized Signal-Dependent Transform for Video Coding. IEEE Trans. Circuits Syst. Video Techn., vol. no.8, pp.1920-1933, 2018.
  5. --Xiaodan Song, Xiulian Peng, Jizheng Xu, Guangming Shi and Feng Wu. Unequal Error Protection for Scalable Video Storage In The Cloud. IEEE Trans. on Multimedia, vol.20, no.3, pp: 699 - 710, 2018. (计算机领域JCR一区)
  6. --Xiao Wei, Li Bin, Xu Jizheng, Shi Guangming, Wu Feng. Weighted Rate-Distortion Optimization for Screen Content Coding. IEEE Trans. on Circuits and Systems for Video Technology, vol. 28, no. 2, pp. 499-512, 2018.
  7. --Song xiao dan, Shi Guangming,Xiulian Peng, Jizheng Xu, Feng Wu. Distributed Compressive Sensing for Cloud-Based Wireless Image Transmission. IEEE Trans. on multimedia, vol.19, no.6 pp.1351-1364,2017. (计算机领域JCR一区)
  8. --Yingyu Li, Guangming Shi, Wotao Yin, Lanchao Liu, Zhu Han. A Distributed ADMM approach with Decomposition-Coordination for Mobile Data Offloading, IEEE Trans. on Vehicular Technology, vol.67, no.3, pp.2514 - 2530, 2017.
  9. --Yingyu Li, Guangming Shi, Wotao Yin, Lanchao Liu, Zhu Han. A Distributed ADMM approach with Decomposition-Coordination for Mobile Data Offloading, IEEE Trans. on Vehicular Technology, vol.67, no.3, pp.2514 - 2530,2017.
  10. --Song xiao dan, Shi Guangming,Xiulian Peng, Jizheng Xu,Feng Wu. Distributed Compressive Sensing for Cloud-Based Wireless Image Transmission. IEEE Trans. on multimedia, vol.19, no.6 pp.1351-1364,2017. (计算机领域JCR一区)
  11. --Niu, Yi; Wu, Xiaolin; Shi, Guangming. Image Enhancement by Entropy Maximization and Quantization Resolution Upconversion. IEEE Trans. On Image Processing, vol.25, no.10, pp.4815-4828, 2016. (计算机领域JCR一区)
  12. --Xiaotian Wang, Guangming Shi, Yantao Wang, Jinjian Wu and Fu Li,"High Quality Impulse Noise Removal Via Non-Uniform Sampling And Autoregressive Modeling Based Interpolation", IET Image processing, vol.10, no.4,pp.304-313,2016.
  13. --Xiao W, Li B, Xu J, Shi G, Wu F. HEVC Encoding Optimization Using Multicore CPUs and GPUs. IEEE Trans. on Circuits and Systems for Video Technology, 2015, 25(11): 1830-1843.
  14. --Weisheng Dong, Guangyu Li, Guangming Shi, Xin Li, and Yi Ma, "Low-rank tensor approximation with Laplacian scale mixture modeling for multiframe image denoising", in Proc. IEEE Int. Conf. on Computer Vision (ICCV), 2015. CCF-A类会议(计算机视觉三大顶会之一)
  15. --Chunxiao Fan, Fu Li, Guangming Shi, Yi Niu, Fei Qi, Xuemei Xie and  Dandan Jiao，"A hierarchical multiplier-free architecture for HEVC transform"，Multimedia Tools and Applications，vol.74, no.24,pp:1-19 2015.
  16. --Xiaodan Song,Xiulian Peng, Jizheng Xu, Guangming Shi, Feng Wu,Cloud-based Distributed Image Coding,IEEE Trans. on CircuitS and Systems for Video Technology Special Issue on Visual Computing in the Cloud: Fundamentals and Applications, 25(12):1926-1940,2015.
  17. --C. Chen, X. Wang, B. Bai, and G. Shi.Constant weight codes from constant dimension codes and their applications,IEEE Comm. Lett. Vol. 19, No. 13, pp. 311-314, Mar. 2015. C. Chen, B. Bai, G. Shi, X. Wang, and X. Jiao, "Non-Binary LDPC Codes on Cages: Structural Property and Code Optimization," IEEE. Trans. Comm., 2015, 63( 2): 364-375.
  18. --Wei Xiao, Bin Li, Jizheng Xu, Guangming Shi and Feng Wu. HEVC encoding optimization using multi-core CPUs and GPUs. IEEE Trans. on Circuits and Systems for Video Technology, vol.25,no.11,pp. 1830-1843, 2015.
  19. --Xiaodan Song, Xiulian Peng, Jizheng Xu, Guangming Shi, Feng Wu, Cloud-based Distributed Image Coding, IEEE Trans. on Circuits and Systems for Video Technology Special Issue on Visual Computing in the Cloud: Fundamentals and Applications, vol.25, no.12, pp.1926-1940, 2015.
  20. --C. Chen, X. Wang, B. Bai, and G. Shi. Constant weight codes from constant dimension codes and their applications. IEEE Comm. Lett. vol. 19, no. 13, pp. 311-314, Mar. 2015.
  21. --C. Chen, B. Bai, G. Shi, X. Wang, and X. Jiao. Non-Binary LDPC Codes on Cages: Structural Property and Code Optimization. IEEE. Trans. Comm. vol. 63, no. 2, pp. 364-375, Feb. 2015.
  22. --Chongyu Chen, Jianfei Cai, Weisi Lin, and Guangming Shi, Incremental Low-Rank and Sparse Decomposition for Compressing Videos Captured by Fixed Cameras. Journal of Visual Communication and Image Representation, vol.26, pp.338-348, 2015.
  23. --Weisheng Dong, Lei Zhang, Guangming Shi, and Xin Li. Nonlocally centralized sparse representation for image restoration”, IEEE Trans. on Image Processing, 2013,22(4):1620-1630. (计算机领域JCR一区)
  24. --Weisheng Dong, Guangming Shi, and Xin Li. Nonlocal image restoration with bilateral variance estimation: a low-rank approach,” IEEE Trans. on Image Processing,2013, 22(2):700-711. (计算机领域JCR一区)
  25. --Weisheng Dong, Guangming Shi, Xin Li, Lei Zhang, and Xiaolin Wu. Image reconstruction with locally adaptive sparsity and nonlocal robust regularization. Signal Processing: Image Communication, 2012. 27:1109-1122.
  26. --Weisheng Dong, Lei Zhang, Rastislav Lukac, and Guangming Shi. Sparse representation based image interpolation with nonlocal autoregressive modeling. IEEE Trans. on Image Processing，vol.22, no.4, pp.1382-1394, 2013. (计算机领域JCR一区, ESI高被引论文)
  27. --Weisheng Dong, Guangming Shi, Li Zhang. Immune Memory Clonal Selection Algorithms for Designing Stack Filters. Neurocomputing, Jan. 2007.
  28. --Xiaotian Wang, Guangming Shi, Yi Niu, Li Zhang.Robust Adaptive Directional Lifting Wavelet Transform for Image Denoising. IET Image Processing, vol. 5, no.3, pp. 249-260, 2011.
  29. --Zhang Lei，Dong Weisheng，X.L. Wu, Guangming Shi. Two-Stage Image Denoising By Principle Component Analysis with Local Pixel Grouping. Pattern Recognition, vol.11, no.5, pp.296-301, 2011. (ESI高被引论文)
  30. --Fei Qi, Junyu Han, Pengjin Wang, Guangming Shi, and Fu Li. Structure Guided Fusion for Depth Map Inpainting. Pattern Recognition Letters, vol.34 ,no.1,pp.70-76, 2013.
  31. --Yi Niu, Xiaolin Wu, Guangming Shi, Xiaotian Wang. Edge-based Perceptual Image Coding. IEEE trans. on Image Processing, vol.21, no.4, pp.1899-1910, 2012. (计算机领域JCR一区)
  32. --Chongyu Chen, Jianfei Cai, Weisi Lin, and Guangming Shi. Surveillance video coding via low-rank and sparse decomposition. Proceedings of the 20th ACM International Conference on Multimedia, p 713-716, 2012. (CCF- A类会议)
  33. --Cuiling Lan, Jizheng Xu, Guangming Shi, Feng Wu. Exploiting Non-local Correlation via Signal Dependent Transform (SDT). IEEE J. Sel. Topics Signal Processing, vol.5, no.7, pp.1298-1308, 2011.
  34. --Lan Cuilin, Shi Guangming, Wu Feng. Compress Compound Images In H.264/MPGE-4 AVC By Exploiting Spatial Correlation. IEEE Trans.on Image Processing, vol.19, no.4, pp.946-957, Apr.2010. (计算机领域JCR一区)
  35. --Dong Weisheng, Shi Guangming, Xu Jizheng. Adaptive Nonseparable Interpolation for Image Compression with Directional Wavelet Transform. IEEE Signal Processing Letters vol.15, 2008.
  36. --Lei Wang, Jiaji Wu, Licheng Jiao, Guangming Shi. Lossy-To-Lossless Hyperspectral Image Compression Based on Multi-plierless Reversible Integer TDLT/KLT. IEEE Geoscience and Remote Sensing Letters, vol.6, no.3, pp.587-591, 2009.
  37. --Shi Guangming, Dong Weisheng, Xiaolin Wu. Context-Based Adaptive Image Resolution Upconversion. Journal of Electronic Imaging, vol. 19, no.1, pp.013008-1~013008-9, 2010.
  38. --Yi Niu, Xiaolin Wu, Xiangjun Zhang, Guangming Shi. Model-based Adaptive Resolution Upconversion of Degraded Images. Journal of Visual Communication and Image Representation, vol. 23, no.7, pp. 1144-1157, October 2012.


微波探测:

  1. --Guanghui Zhao, Fangfang Shen, Jie Lin, Guangming Shi, Yi Niu. Fast ISAR imaging based on Enhanced Sparse Representation Model. IEEE Trans. on Antennas and Propagation, 65.10(2017):5453-5461.
  2. --Chao Wen, Xuemei Xie, Guangming Shi. Off-grid DOA estimation under nonuniform noise via variational sparse Bayesian learning. Signal Processing, no.137, pp.69-79,2017.
  3. --Chao Wen, Guangming Shi, Xuemei Xie. Estimation of directions of arrival of multiple distributed sources for nested array. Signal Processing, vol.130, no.c, pp.315-322,2017.
  4. --Guangming Shi, Fangfang Shen, Yi Niu, Guanghui Zhao. Multiple-Stations Scalable Transmission with Compressed Sensing for Near Space Communication. IEEE Antennas and Wireless Propagation Letters.2016,15:382-385.
  5. --Fangfang Shen, Guanghui Zhao*, Guangming Shi, Weisheng Dong, Chenglong Wang, Yi Niu, "Compressive SAR Imaging with Joint Sparsity and Local Similarity Exploitation", Sensors, 15(2):4176-4192, 2015.
  6. --Fangfang Shen, Guanghui Zhao*, Zicheng Liu, Guangming Shi, Jie Lin. SAR Imaging With Structural Sparse Representation. IEEE Journal of Selected Topic in Applied Earth Observations and Remote Sensing, 8(8):3902-3910,2015.
  7. --Guanghui Zhao, Zicheng Liu, Jie Lin, Guangming Shi,Fangfang Shen. Wideband DOA Estimation based on Sparse Representation in 2-D Frequency Domain. IEEE Sensors Journal, 15(1):227-233, 2015.
  8. --Guanghui Zhao, Guangming Shi, Fangfang Shen, Xi Luo, Yi Niu. A Sparse Representation based DOA Estimation Algorithm with Separable Observation Model. IEEE Antennas and Wireless Propagation Letters, 14:1586-1589,2015.
  9. --Wen Chao Shi Guangming.A Unitary ESPRIT Scheme of Joint Angle Estimation for MOTS MIMO radar,Sensors,2014, 14(8):14411-22.
  10. --Chenglong Wang, Guanghui Zhao, Guangming Shi,Huan Li. SAR image despeckling based on the nonlocally centralized sparse representation model. IEEE CIT 2014.
  11. --Guanghui Zhao, Jie Lin, Fangfang Shen, Guangming Shi, Qingyu Hou and Zicheng Liu. High-resolution DOA estimation with Meridian prior，EURASIP Journal on Advances in Signal Processing,29 April 2013.
  12. --G.H. Zhao, Q. Wang, F.F. Shen, X.M. Li, G.M. Shi,Robust compressive multi-input-multi-output imaging,  IET  Radar Sonar & Navigation,vol.7, no.3, pp.233-245, 2013.
  13. --Zhao Guanghui, Shi Guangming. Altitude Measurement of Low Elevation Target Based on Iterative Subspace Projection. IEEE Trans. on Aerospace and Electronic Systems (TAES), vol. 47, no.2, pp. 1256-1264, 2011.
  14. --Guanghui Zhao, Zhengyang Wang, Qi Wang, Guangming Shi, Fangfang Shen. Robust ISAR Imaging based on Compressive Sensing from Noisy Measurements. Signal Processing, vol.92, Issue 1, January 2012, Pages 120-129.

 

 
超声探测：

  1. --Shi Guangming, Chen Chongyu, Lin Jie, Xie Xuemei, Chen, Xuyang. Narrowband Ultrasonic Detection with High Range Resolution: Separating Echoes via Compressed Sensing and Singular Value Decomposition. IEEE Trans. on Ultrasonics,Ferroelectrics,and Frequency Control, OCT. 59(10):2237-2253,2012.
  2. --Shi Guangming, Chen Xuyang, Song Xiaoxia, Qi fei, Ailing Ding. Signal matching wavelet for ultrasonic flaw detection in high background noise. IEEE Trans. on Ultrasonic, Ferroelectrics, and Frequency Control, 58:776-787, 2011.


压缩感知：

  1. Zhifu Zhao, Xuemei Xie, Wan Liu, Qingzhe Pan. A Hybrid-3D Convolutional Network for Video Compressive Sensing. IEEE Access, 2020, 8: 20503-20513.
  2. Zhifu Zhao, Xuemei Xie, Chenye Wang, Siying Mao, Wan Liu, Guangming Shi. ROI-CSNet: Compressive sensing network for ROI-aware image recovery. Signal Processing: Image Communication, 2019, 78:113-124.
  3. Du, X Xie, C Wang, G Shi, X Xu, Y Wang. Fully convolutional measurement network for compressive sensing image reconstruction.  Neurocomputing 328 (2019): 105-112
  4. Zhifu Zhao, Xuemei Xie, Chenye Wang, Wan Liu, Guangming Shi, Jiang Du, Visualizing and Understanding of Learned Compressive Sensing with Residual Network. Neurocomputing, 2019, 359: 185-198.
  5. --Guangming Shi, Tao Huang, Weisheng Dong, Jinjian Wu, Xuemei Xie. Robust Foreground Estimation via Structured Gaussian Scale Mixture Modeling. IEEE Trans. Image Processing, 27(10): 4810-4824,2018. (计算机领域JCR一区)
  6. --Weisheng Dong, Xiaolin Wu, and Guangming Shi. Sparsity Fine Tuning in Wavelet Domain with Application to Compressive Image Reconstruction. IEEE Trans. on Image Processing, vol. 23, no. 12, pp. 5249-5262, 2014. (计算机领域JCR一区)
  7. --Weisheng Dong, Guangming Shi, Xin Li, Yi Ma, and Feng Huang, "Compressive sensing via nonlocal low-rank regularization", IEEE Trans. on Image Processing, vol.23, no.8, pp.3618-3612, Aug. 2014.(计算机领域JCR一区, ESI高被引论文)
  8. -- Chang Wang, Fei Qi, Guangming Shi, and Xiaotian Wang. Convex Combination based Target Localization with Noisy Angle of Arrival Measurements. IEEE Wireless Communication Letters, vol.3, no.1, pp.14-17,2014.
  9. --Weisheng Dong, Guangming Shi, and Xin Li, “Nonlocal image restoration with bilateral variance estimation: a low-rank approach,” IEEE Trans. on Image Processing, vol.22, no.2, pp. 700-711, 2013. (计算机领域JCR一区, ESI高被引论文)
  10. --Weisheng Dong, Xiafang Yang, and Guangming Shi. Compressive sensing via reweighted TV and nonlocal sparsity regularization. Electronics Letters, vol. 49, no. 3, pp. 184-186, 2013.
  11. --石光明，刘丹华，高大化，刘哲，林杰，王良君，“压缩感知理论及其研究进展，”电子学报，vol. 37, no. 5, pp. 1070-1081, 2009. (入选领跑者5000——中国精品科技期刊顶尖学术论文)
  12. --Xiaolin Wu, Weisheng Dong, Xiangjun Zhang, and Guangming Shi. Model-Assisted Adaptive Recovery of Compressed Sensing with Imaging Applications. IEEE Trans. on Image Processing, vol.21, no.2, p 451-458,2012. (计算机领域JCR一区)
  13. --Liangjun Wang, Xiaolin Wu, and Guangming Shi. Binned Progressive Quantization of Compressive Sensing. IEEE Trans. on Image Processing, vol.21, no.6, pp.2980-90, 2012. (计算机领域JCR一区)
  14. --Shi Guangming, Lin Jie, Chen Xueyan. UWB Echo Signal Detection with Ultra-Low Rate Sampling Based on Compressed Sensing. IEEE Trans. on Circuits and Systems - II, vol. 55, No. 4, Apr. 2008.
  15. --Weisheng Dong, Lei Zhang, Guangming Shi, and Xiaolin Wu. Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization. IEEE Trans. On Image Processing. vol. 20, no. 7, pp.1838-1857, 2011. (ESI高被引论文)
  16. --Weisheng Dong, Guangming Shi, Xin Li. Nonlocal Image Restoration with Bilateral Variance Estimation: a Low-rank Approach. IEEE Trans. on Image Processing, vol.22, no.2, pp. 700-711, 2013. (计算机领域JCR一区, ESI高被引论文)
  17. --Weisheng Dong, Xin Li, Lei Zhang, and Guangming Shi. Sparsity-based image denoising via dictionary learning and structure clustering. In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR, oral), pp. 457-464, 2011. CCF-A类会议(计算机视觉三大顶会之一)
  18. --Weisheng Dong, Lei Zhang, Guangming Shi. Centralized Sparse Representation for Image Restoration. Proc. IEEE Int. Conf. on Computer Vision (ICCV), Barcelona,Spain,2011. CCF-A类会议(计算机视觉三大顶会之一)
 


计算机视觉（目标检测、识别，场景理解）：

  1. F.Wang,Z.Wang,X.Xie and G.Shi : A Multi-level Equilibrium Clustering Approach Unsupervised Person Re-identification. In 3rd Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020.
  2. Jianxiu Yang, Xuemei Xie, Wenzhe Yang.  Effective Contexts for UAV Vehicle Detection. IEEE Access, vol. 7, pp. 85042-85054, Dec. 2019
  3. 张姝,杜从洋,吴金建,石光明,谢雪梅.异步数据流中关键目标提取及分类研究.软件学报, 2019, 30(Suppl.(2)):9-16.
  4. 杨建秀，谢雪梅，金星，杨文哲，石光明. 多尺度特征增强融合的实时航拍车辆检测算法.中国体视学与图像分析，2019，4: 298-305.
  5. Ferede S, Xie X, Jin X, et al. Channel Feature Enhanced Detector for Small Ball Detection. chinese conference on pattern recognition, 2019: 3-13.
  6. Li J , Xie X , Pan Q , et al. SGM-Net: Skeleton-Guided Multimodal Network for Action Recognition[J]. Pattern Recognition, 2020, 104:107356.
  7. Jin K, Xie X, Wang F, et al. Human Identification Recognition in Surveillance Videos[C] 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE, 2019: 162-167.
  8. 陈建宇,谢雪梅,李佳楠等.基于时空注意力机制的行为识别方法.中国体视学与图像分析，2019,24(04):325-333.
 


多速率滤波器组与小波:

  1. --Chunxiao Fan, Fu Li*, et al. A Parallel Arithmetic for Hardware Realization of Digital Filters. Microelectronics Journal, vol.83, pp.131-136, JAN 2019.
  2. \--Xiaotian Wang, Shanshan Shen, Guangming Shi and Peiyu Zhang. Iterative Non-local Means Filter for Salt and Pepper Noise Removal. Journal of Visual Communication and Image Representation, vol.38, pp.440-450,2016.
  3. --Liang Lili, Shi Guangming, Xie Xuemei. Nonuniform directional filter banks with arbitrary frequency partitioning," IEEE Trans. on Image Processing, vol.20, no.1, pp.283-288, Jan. 2011. (计算机领域JCR一区)
  4. --Zhong Wei, Shi Guangming, Xie Xuemei. Design of Linear-Phase Nonuniform Filter Banks with Partial Cosine Modulation. IEEE Trans. on Signal Processing, vol.58, no.6, pp.3390-3395, Jun. 2010.
  5. --Shi Guangming, Liang Lili, Xie Xuemei. Design of directional filter banks with arbitrary number of subbands. IEEE Trans. on Signal Processing, vol.57, no.12, pp.4936-4941, Dec.2009.
  6. --Shi Guangming, Liu Wei Feng. An Efficient Folded Architecture for Lifting-Based Discrete Wavelet Transform. IEEE Trans. on Circuits and Systems–II, vol. 56, no. 4, April 2009. 

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