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杨 洋
发布日期:2023-06-03   浏览次数:
 


教师姓名:

杨洋

职务职称:

教授、硕士生导师

所属系部:

科学系、计算机科学国际化部

研究方向:

图像处理、图形学、深度学习

联系电话:

15952873052

电子邮箱:

yyoung@ujs.edu.cn

个人简介

杨洋,博士,江苏大学计算机科学与通信工程学院教授。目前主要从事图像处理、图形学与深度学习等方向的教学与科研工作。2012年获中国科学技术大学博士学位,导师为岳丽华教授;同年获香港城市大学联合博士学位,导师为Howard Leung博士。博士毕业后曾在江苏大学开展博士后研究工作,合作导师为詹永照教授。

近年来主要围绕图像复原、图像滤波与平滑、图像上采样及生成模型开展研究,重点关注优化模型、梯度先验、扩散模型以及零样本/即插即用图像复原方法。相关研究成果发表于ACM MMAAAIIEEE TIPIEEE TMMIEEE TCSVTIEEE TIMIEEE TETCIIEEE TCIACM ToMMPRKBSESWAInformation SciencesSignal ProcessingNeurocomputing等期刊和会议。申请授权专利二十余项。主持完成国家自然科学基金项目一项,中国博士后面上项目一项,以及横向课题若干项。


教研成果

(一)主要学术论文

[1] Jiaqi Zhang, Zheng Pang, Rongrong Gao, Qiyuan Zhang, and Yang Yang, “Local epistemic uncertainty guided active sampling for plug‑and‑play diffusive image restoration,” ACM Multimedia, To appear (Oral), 2026.

[2] Yang Yang, Shunli Ji, Lanling Zeng, and Keyang Cheng, “Adaptive proximal regularization for image smoothing,” Pattern Recognition, 2026.

[3] Yang Yang, Xi Zhang, Jiaqi Zhang, and Lanling Zeng, “Parameterized image restoration with diffusion and gradient priors,” Knowledge‑Based Systems, 2026.

[4] Yifan Huang, Lanling Zeng, and Yang Yang, “Dual dynamic guidance image filtering,” Pattern Recognition, 2026.

[5] Yang Yang, Shuai Luo, and Lanling Zeng, “Document image shadow removal via score‑based gradient‑guided generative model,” Expert Systems with Applications, 2026.

[6] Yang Yang, Shuai Luo, Xiangjun Shen, and Lanling Zeng, “Plug and play document image shadow removal with conditional diffusion model,” Information Sciences, 2026.

[7] Yi Wang, Lanling Zeng, Jiaqi Zhang, and Yang Yang, “Zero‑shot diffusive image restoration with consistency,” Signal Processing, 2026.

[8] Jiaqi Zhang, Guo Yang, Rongrong Gao, and Yang Yang, “Zero‑shot medical image super‑resolution using denoising diffusion models with gradient‑frequency priors,” Biomedical Signal Processing and Control, 2026.

[9] Jiaxu Huang, Yiyue Li, Jiaqi Zhang, Xiaocheng Hu, and Yang Yang, “SCA‑Net: A scale‑ and contrast‑aware network for subtle and low‑contrast polyp segmentation,” Journal of Imaging Informatics in Medicine, 2026.

[10] Pengyu Li, Wenzheng Dong, Jiaxu Huang, Lanling Zeng, and Yang Yang, “Adaptive and generalized non‑convex regularization for image decomposition,” Multimedia Systems, 2026.

[11] Yang Yang, Xi Zhang, Yiwen Xiong, Xinsheng Wang, and Xiangyu Leng, “Multi‑sparsity isotropic gradient regularization for edge‑preserving image smoothing,” Multimedia Systems, 2026.

[12] Yang Yang, Jie Gao, Lanling Zeng, Xinsheng Wang, and Xinyu Wang, “Multiscale attention network with structure guidance for colorectal polyp segmentation,” Journal of Medical Imaging, 2026.

[13] Yang Yang, Shuai Luo, Shuailong Qiu, Lanling Zeng, Xinyu Wang, and Xinsheng Wang, “Joint image upsampling with affinity learning,” Neurocomputing, 2025.

[14] Wei Gao, Li Jin, Youssef Akoudad, and Yang Yang, “APS‑NeuS: Adaptive planar and skip‑sampling for 3D object surface reconstruction in high‑specular scenes,” Image and Vision Computing, 2025.

[15] Yang Yang, Shuo Ye, Wei Gao, Lanling Zeng, and Xinyu Wang, “Weighted Lasso regression with soft erosion for guided image filtering,” Circuits, Systems, and Signal Processing, 2025.

[16] Lanling Zeng, Wenzheng Dong, Yang Yang, and Yongzhao Zhan, “Generalized nonconvex gradient regularization for image smoothing,” Journal of Electronic Imaging, 2025.

[17] Yue Sun, Yang Yang, Xinsheng Wang, Xinyu Wang, and Lanling Zeng, “Weighted quasi‑elastic net gradient regularization for image smoothing,” Journal of Electronic Imaging, 2025.

[18] Wei Gao, Di Rao, Yang Yang, and Jie Chen, “Edge devices friendly self‑supervised monocular depth estimation via knowledge distillation,” IEEE Robotics and Automation Letters, 2025.

[19] Yang Yang, Shuailong Qiu, Lanling Zeng, and Zhigeng Pan, “Detail‑preserving joint image upsampling,” ACM Transactions on Multimedia Computing, Communications, and Applications, 2024.

[20] Yang Yang, Ling Tang, Tao Yan, Lanling Zeng, Xiangjun Shen, and Yongzhao Zhan, “Parameterized L0 image smoothing with unsupervised learning,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.

[21] Tao Yan, Xiangjie Zhu, Xianglong Chen, Weijiang He, Chenglong Wang, Yang Yang, Yinghui Wang, and Xiaojun Chang, “GLGFN: Global‑local grafting fusion network for high‑resolution image deraining,” IEEE Transactions on Circuits and Systems for Video Technology, 2024.

[22] Wenzheng Dong, Lanling Zeng, Shunli Ji, and Yang Yang, “Gaussian error loss function for image smoothing,” Image and Vision Computing, 2024.

[23] Yang Yang, Yue Sun, Wei Gao, Xinyu Wang, and Lanling Zeng, “Bilateral regularized optimization model for edge‑preserving image smoothing,” Image and Vision Computing, 2024.

[24] Wei Gao, Yongjie Cai, Youssef Akoudad, Yang Yang, and Jie Chen, “MA‑Stereo: Real‑time stereo matching via multi‑scale attention fusion and spatial error‑aware refinement,” IEEE Robotics and Automation Letters, 2024.

[25] Yang Yang, Shunli Ji, Xinyu Wang, Lanling Zeng, and Yongzhao Zhan, “Generalized Welsch penalty for edge‑aware image decomposition,” Multimedia Systems, 2024.

[26] Yang Yang, Wei Ma, Wei Gao, Lanling Zeng, and Zhigeng Pan, “Hyperbolic tangent penalty function for edge‑preserving image filtering,” Digital Signal Processing, 2024.

[27] Yang Yang, Minghui Xia, Xinyu Wang, Lanling Zeng, and Yongzhao Zhan, “Robust edge‑preserving image smoothing based on complementary weighting scheme,” Signal, Image and Video Processing, 2024.

[28] Yang Yang, Dan Wu, Ling Tang, Lanling Zeng, and Zhigeng Pan, “Weighted and truncated L1 image smoothing based on unsupervised learning,” The Visual Computer, 2024.

[29] Yang Yang, Hao Zheng, Lanling Zeng, Xiangjun Shen, and Yongzhao Zhan, “L1‑regularized reconstruction model for edge‑preserving filtering,” IEEE Transactions on Multimedia, 2023.

[30] Yang Yang, Lianxiong Wu, Lanling Zeng, Tao Yan, and Yongzhao Zhan, “Joint upsampling for refocusing light fields derived with hybrid lenses,” IEEE Transactions on Instrumentation and Measurement, 2023.

[31] Xiangjun Shen, Stanley Abhadiomhen, Yang Yang, Zhifeng Liu, and Sirui Tian, “Edge structure learning via low rank residuals for robust image classification,” in Proc. AAAI Conf. Artif. Intell., 2023.

[32] Tao Yan, Mingyue Li, Bin Li, Yang Yang, and Rynson W. H. Lau, “Rain removal from light field images with 4D convolution and multi‑scale gaussian process,” IEEE Transactions on Image Processing, 2023.

[33] Wuyang Ye, Tao Yan, Jiahui Gao, and Yang Yang, “LFIENet: Light field image enhancement network by fusing exposures of LF‑DSLR image pairs,” IEEE Transactions on Computational Imaging, 2023.

[34] Yang Yang, Tongyao He, Lanling Zeng, Yan Zhao, and Xinyu Wang, “Soft clustering based on high‑ and low‑level features for image smoothing,” Journal of Electronic Imaging, 2023.

[35] Lanling Zeng, Yucheng Chen, Yang Yang, and Zhigeng Pan, “Edge‑aware image smoothing via weighted sparse gradient reconstruction,” Signal, Image and Video Processing, 2023.

[36] Lanling Zeng, Lianxiong Wu, Yang Yang, Xiangjun Shen, and Yongzhao Zhan, “Deep weighted guided upsampling network for depth of field image upsampling,” in Proc. ACM Multimedia Asia, 2022.

[37] Yang Yang, Hongjun Hui, Lanling Zeng, Yan Zhao, Yongzhao Zhan, and Tao Yan, “Edge‑preserving image filtering based on soft clustering,” IEEE Transactions on Circuits and Systems for Video Technology, 2022.

[38] Yang Yang, Ling Tang, Lanling Zeng, Xinyu Wang, and Yongzhao Zhan, “L0 image smoothing via iterating truncated L1 gradient regularization,” Journal of Electronic Imaging, 2022.

[39] Yang Yang, Yiwen Xiong, Yanqing Cao, Lanling Zeng, Yan Zhao, and Yongzhao Zhan, “Fast bilateral filter with spatial subsampling,” Multimedia Systems, 2022.

[40] Yan Zhao, Yinglei Wei, Yiyang Jia, Shiling Li, Mingyue Zhang, Lanling Zeng, Yang Yang, and Jun Mitani, “Constructing foldable cylindrical surfaces via unfolded waterbomb origami units,” Journal of Computational Design and Engineering, 2022.

[41] Yan Zhao, Shiling Li, Mingyue Zhang, Lanling Zeng, Yang Yang, Yoshihiro Kanamori, and Jun Mitani, “Computational design methods for cylindrical and axisymmetric waterbomb tessellations,” Computer Aided Geometric Design, 2021.

[42] Wei Tang, Yang Yang, Lanling Zeng, and Yongzhao Zhan, “Size constrained clustering with MILP formulation,” IEEE Access, 2020.

[43] Xiangjun Shen, Xiaozhen Luo, Timothy Apasiba Abeo, Yang Yang, Xi Shao, and Shuying Li, “Laplacian regularized kernel canonical correlation ensemble for remote sensing image classification,” IEEE Geoscience and Remote Sensing Letters, 2019.

[44] Wei Tang, Yang Yang, Lanling Zeng, and Yongzhao Zhan, “Optimizing MSE for clustering with balanced size constraints,” Symmetry, 2019.

[45] Qianhui Men, Howard Leung, and Yang Yang, “Self‑feeding frequency estimation and eating action recognition from skeletal representation using Kinect,” World Wide Web, 2019.

[46] Yang Yang, Howard Leung, Hubert P. H. Shum, Jiao Li, Lanling Zeng, Nauman Aslam, and Zhigeng Pan, “CCESK: A Chinese character educational system based on Kinect,” IEEE Transactions on Learning Technologies, 2018.

[47] Yang Yang, Huiwen Bian, Yanhong Peng, Xiangjun Shen, and Heping Song, “Simulating bokeh effect with Kinect,” in Proc. Pacific Rim Conf. Multimedia, 2018.

[48] Yang Yang, Hubert P. H. Shum, Nauman Aslam, and Lanling Zeng, “Temporal clustering of motion capture data with optimal partitioning,” in Proc. SIGGRAPH VRCAI, 2016.

[49] Yang Yang, Howard Leung, Lihua Yue, and Liqun Deng, “Generating a two‑phase lesson for guiding beginners to learn basic dance movements,” Computers & Education, 2013.

[50] Yang Yang, Howard Leung, Lihua Yue, and Liqun Deng, “Automatic dance lesson generation,” IEEE Transactions on Learning Technologies, 2012.

[51] Liqun Deng, Howard Leung, Naijie Gu, and Yang Yang, “Generalized model‑based human motion recognition with body partition index maps,” Computer Graphics Forum, 2012.

[52] Liqun Deng, Howard Leung, Naijie Gu, and Yang Yang, “Real‑time mocap dance recognition for an interactive dancing game,” Computer Animation and Virtual Worlds, 2011.

(二)教学与人才培养

1.教学工作

主讲《数据结构》《计算方法》《数据库原理》《数字图像处理》《计算机视觉》等专业主干课程,授课对象涵盖本科生、留学本科生、研究生、留学研究生。参与编写专业核心教材《数据结构与算法设计》,入选江苏大学重点教材。

2.学生培养

独立指导研究生30余人,协助指导研究生10余人,1人获江苏大学优秀硕士学位论文。

注重学生科研能力与工程实践能力综合培养,指导本科生发表论文4篇,其中1CCF A类会议论文,1CCF C类会议论文,2SCI检索期刊论文。指导本科生参与国家级A类学科竞赛,取得多项国家级奖项:

· 一等奖(5项):第七届全球校园人工智能算法精英大赛国赛、2025中国机器人及人工智能大赛国赛、2025蓝桥杯国赛一等奖

· 二等奖(1项):第七届全球校园人工智能算法精英大赛国赛二等奖

· 三等奖(3项):第七届全球校园人工智能算法精英大赛国赛、第十六届中国大学生服务外包创新创业大赛国赛三等奖

3.个人荣誉

· 2014年:江苏大学计算机学院讲课比赛 三等奖

· 2017年:江苏大学优秀学业导师

· 2023年:江苏大学校级考核优秀

· 2024年:江苏大学校级考核优秀

课题组氛围轻松融洽,导师充分尊重学生想法,鼓励自由探索,注重科研思维与工程实践能力同步培养。课题组主要围绕图像处理、计算机图形学、深度学习与生成模型方向开展研究。欢迎对科研抱有热情、踏实肯钻研的硕士研究生与本科生加入,期待和大家一起共同成长。更多信息,请见我的Github主页https://ujsyyoung.github.io/homepage/


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