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Yang Yang (杨洋)Ph.D. |
Biography
I am currently an Associate Professor with the Department of Computer Science, Jiangsu University, Zhenjiang, Jiangsu, China. I received the Ph.D. degree from University of Science and Technology of China, Hefei, Anhui, China, in 2012, supervised by Prof. Lihua Yue. I received the joint Ph.D. degree from City University of Hong Kong, Hong Kong, China, in 2012, supervised by Dr. Howard Leung. I worked as a Post doc in Jiangsu University under the supervision of Prof. Yongzhao Zhan. I work closely with Associate Prof. Lanling Zeng.
My research interests include image processing, computational photography, computer graphics, and deep learning.
Students
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2025: Xiaoyu Guo, Kai Chen, Jinhui Gu, Youpeng Wang, Zilei Wan, Meng Yu. |
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2024: Tongyu Xu, Yifan Huang, Pengyu Li, Yi Wang, Qi Wu, Xiaoya Song. |
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2023: Pengfei Zhao, Xi Zhang, Han Ma, Jie Gao, Yue Liu, Shuai Luo. |
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2022: Yue Sun, Shunli Ji, Wei Ma, Wenzheng Dong, Shuo Ye, Minghui Xia. |
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2021: Shuailong Qiu, Yiwen Xiong, Yucheng Chen. |
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2020: Ling Tang, Dan Wu, Tongyao He, Lianxiong Wu. |
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2019: Hongjun Hui, Hao Zheng, Hongbei Yu, Yanqing Cao. |
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2018: Shu Li, Liwei Liu. |
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2017: Wei Tang, Yunchen Zhu, Zhengxiang Sun. |
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2016: Yanhong Peng, Huiwen Bian. |
Publications
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Parameterized image restoration with diffusion and gradient priors |
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Dual dynamic guidance image filtering |
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Document image shadow removal via score-based gradient-guided generative model |
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Plug and play document image shadow removal with conditional diffusion model |
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Multi-sparsity isotropic gradient regularization for edge-preserving image smoothing |
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Adaptive proximal regularization for image smoothing |
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Joint image upsampling with affinity learning |
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APS-NeuS: Adaptive planar and skip-sampling for 3D object surface reconstruction in high-specular scenes |
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Weighted Lasso Regression with Soft Erosion for Guided Image Filtering |
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Generalized nonconvex gradient regularization for image smoothing |
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Weighted quasi-elastic net gradient regularization for image smoothing
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Detail-preserving Joint Image Upsampling |
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Parameterized L0 Image Smoothing With Unsupervised Learning |
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GLGFN: Global-Local Grafting Fusion Network for High-Resolution Image Deraining |
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Gaussian Error Loss Function for Image Smoothing |
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Bilateral Regularized Optimization Model for Edge-Preserving Image Smoothing |
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MA-Stereo: Real-Time Stereo Matching via Multi-Scale Attention Fusion and Spatial Error-Aware Refinement |
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Generalized Welsch penalty for edge-aware image decomposition |
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Hyperbolic tangent penalty function for edge-preserving image filtering |
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Robust edge-preserving image smoothing based on complementary weighting scheme |
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Weighted and truncated L1 image smoothing based on unsupervised learning |
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L1-Regularized Reconstruction Model for Edge-preserving Filtering |
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Joint Upsampling for Refocusing Light Fields Derived with Hybrid Lenses |
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Edge Structure Learning via Low Rank Residuals for Robust Image Classification |
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Rain Removal From Light Field Images With 4D Convolution and Multi-Scale Gaussian Process |
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LFIENet: Light Field Image Enhancement Network by Fusing Exposures of LF-DSLR Image Pairs |
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Edge Devices Friendly Self-Supervised Monocular Depth Estimation via Knowledge Distillation |
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Soft clustering based on high- and low-level features for image smoothing |
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Edge-aware image smoothing via weighted sparse gradient reconstruction |
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Deep Weighted Guided Upsampling Network for Depth of Field Image Upsampling |
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Edge-preserving Image Filtering Based on Soft Clustering |
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L0 image smoothing via iterating truncated L1 gradient regularization |
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Fast bilateral filter with spatial subsampling |
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Constructing foldable cylindrical surfaces via unfolded waterbomb origami units |
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Computational Design Methods for Cylindrical and Axisymmetric Waterbomb Tessellations |
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Size Constrained Clustering with MILP Formulation |
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Laplacian Regularized Kernel Canonical Correlation Ensemble for Remote Sensing Image Classification
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Optimizing MSE for Clustering with Balanced Size Constraints
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Self-feeding Frequency Estimation and Eating Action Recognition from Skeletal Representation Using Kinect
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CCESK: A Chinese Character Educational System Based on Kinect
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Simulating Bokeh Effect with Kinect
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Temporal Clustering of Motion Capture Data with Optimal Partitioning
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Generating a Two-phase Lesson for Guiding Beginners to Learn Basic Dance Movements
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Automatic Dance Lesson Generation
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Generalized Model-Based Human Motion Recognition with Body Partition Index Maps
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Real-time Mocap Dance Recognition for an Interactive Dancing Game
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