教材

1.《计算方法》,张池平,施云惠,中国科学出版社, 2002

2.《机器学习》,施云惠,张英俊，机械工业出版社,2025

发表论文

[1] Yangke Ying,Jin Wang, Yunhui Shi,Nam Ling,Baocai Yin:Spectral Memory-Enhanced Network With Local Non-Local and Low-Rank Priors for Hyperspectral Image Compressive Imaging.IEEE Trans. Computational Imaging 10: 1664-1679 (2024)

[2]Jin Wang,Chenyang Li, Yunhui Shi,Dan Wang,Mu-En Wu,Nam Ling,Baocai Yin:MSF-Net: Multi-Scale Feedback Reconstruction for Guided Depth Map Super-Resolution.IEEE Trans. Circuits Syst. Video Technol. 34(2): 709-723 (2024)

[3]Yangke Ying,Jin Wang, Yunhui Shi,Nam Ling,Baocai Yin:Dual-Domain Feature Fusion and Multi-Level Memory-Enhanced Network for Spectral Compressive Imaging.IEEE Trans. Circuits Syst. Video Technol. 34(10): 9562-9577 (2024)

[4]Lilong Wang, Yunhui Shi,Jin Wang,Shujun Chen,Baocai Yin,Nam Ling:

Graph Based Cross-Channel Transform for Color Image Compression.ACM Trans. Multim. Comput. Commun. Appl. 20(4): 102:1-102:25 (2024)

[5]Lilong Wang, Yunhui Shi,Jin Wang,Baocai Yin,Nam Ling:Graph-Structured Swin-Transformer for Learned Image Compression.DCC 2024: 592

[6]Jiade Chen,Jin Wang, Yunhui Shi,Nam Ling,Baocai Yin:

MVP-Net: Multi-View Depth Image Guided Cross-Modal Distillation Network for Point Cloud Upsampling.ACM Multimedia 2024: 9759-9768

[7]Kai Han,Jin Wang, Yunhui Shi,Nam Ling,Baocai Yin:D3U-Net: Dual-Domain Collaborative Optimization Deep Unfolding Network for Image Compressive Sensing.ACM Multimedia 2024: 9952-9960

[8]Yunhui Shi, Kangfu Zhang, Jin Wang, Nam Ling ,Baocai Yin:Variable-Rate Image Compression Based on Side Information Compensation and R -λ Model Rate Control,IEEE Trans. Circuits Syst. Video Technol. 33(7): 3488-3501 (2023)

[9]Jin Wang,Jiade Chen, Yunhui Shi,Nam Ling,Baocai Yin:SSPU-Net: A Structure Sensitive Point Cloud Upsampling Network with Multi-Scale Spatial Refinement.ACM Multimedia 2023: 1546-1555

[10] Tingting Li, Yunhui Shi, Xiaoyan Sun, Jin Wang, Baocai Yin:PCGAN: Prediction-Compensation Generative Adversarial Network for Meshes. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4667-4679 (2022)

[11] Jin Wang, Longhua Sun, Ruiqin Xiong, Yunhui Shi, Qing Zhu, Baocai Yin:Depth Map Super-Resolution Based on Dual Normal-Depth Regularization and Graph Laplacian Prior, IEEE Trans. Circuits Syst. Video Technol. 32(6): 3304-3318 (2022)

[12] Gang Wu,Yunhui Shi,Jin Wang Baocai Yin: SMSIR: Spherical Measure Based Spherical Image Representation, IEEE Trans. on Image Processing . 30: 6377-6391 (2021)

[13] Jin Wang, Wei Xu, Jian-Feng Cai, Qing Zhu, Yunhui Shi, Baocai Yin: Multi-Direction Dictionary Learning Based Depth Map Super-Resolution With Autoregressive Modeling. IEEE Trans. Multim. 22(6): 1470-1484 (2020)

[14] Wenbin Yin, Yunhui Shi, Wangmeng Zuo, Xiaopeng Fan: A Co-Prediction-Based Compression Scheme for Correlated Images. IEEE Trans. Multim. 22(8): 1917-1928 (2020）

[15] Na Qi, Yunhui Shi, Xiaoyan Sun, Jingdong Wang, Baocai Yin, Junbin Gao:Multi-Dimensional Sparse Models. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 163-178 (2018)

[16] Xiaojie Liu, Wenpeng Ding, Yunhui Shi, Baocai Yin:Content adaptive interpolation filters based on HEVC framework. J. Visual Communication and Image Representation 56: 131-138 (2018)

[17] Wenbin Yin, Xiaopeng Fan, Yunhui Shi, Ruiqin Xiong, Debin Zhao:Compressive Sensing Based Soft Video Broadcast Using Spatial and Temporal Sparsity. MONET 21(6): 1002-1012 (2016)

[18] Na Qi, Yunhui Shi, Xiaoyan Sun, Baocai Yin:TenSR: Multi-dimensional Tensor Sparse Representation. CVPR 2016: 5916-5925