简介

副教授、硕士生导师，主要从事3D物体识别、底层图像处理等方向研究。已在TIP,  TNNLS,  CVPR等国际期刊和会议发表论文20余篇，其中以第一作者发表ESI高被引论文1篇，ESI热点论文一篇，主持国家自然科学基金、JG项目、中国博士后面上基金、陕西数理基础科学研究项目、基本业务费，参与重大、面上、JG等项目。

工作经历

2020.11- 至今，      西安交通大学数学与统计学院博士后   合作导师：张讲社教授

2020.11- 2024.07，西安交通大学数学与统计学院统计系，助理教授

2024.07- 至今，      西安交通大学数学与统计学院统计系，副教授、硕士生导师

论文发表

[1] Kai Sun, Jiangshe Zhang, Junmin Liu, Ruixuan Yu, Zengjie Song, “DRCNN: Dynamic Routing Convolutional Neural Network for Multi-View 3D Object Recognition”, IEEE Transactions on Image Processing, 2021, 30: 868-877. (中科院1区Top)

[2] Kai Sun, Jiangshe Zhang, Shuang Xu, Zixiang Zhao, Chunxia Zhang, Junmin Liu, Junying Hu, “CACNN: Capsule Attention Convolutional Neural Networks for 3D Object Recognition”, IEEE Transactions on Neural Networks and Learning Systems, in press, 2023. DOI: 10.1109/TNNLS.2023.3326606 (中科院一区Top)

[3] Kai Sun, Jiangshe Zhang, Jialin Wang, Shuang Xu, Chunxia Zhang, Junying Hu, “MBIAN: Multi-level Bilateral Interactive Attention Network for Multi-modal Image Processing”, Expert Systems with Applications, 2023: 120733.（中科院一区Top）

[4] Kai Sun, Jiangshe Zhang, Junmin Liu, Shuang Xu, Xiangyong Cao, Rongrong Fei, “Modified Dynamic Routing Convolutional Neural Network for Pan-Sharpening”, Remote Sensing, 2023, 15(11): 2869.（中科院二区）

[5] Shuang Xu, Jiangshe Zhang, Jialin Wang, Kai Sun, Chunxia Zhang, Junmin Liu, Junying Hu, “A Model-driven Network for Guided Image Denoising”, Information Fusion, 2022, 85: 60-71.（中科院一区Top, 唯一通讯作者）

[6] Kai Sun, Jiangshe Zhang, Hongwei Yong, Junmin Liu, FPCANet: Fisher discrimination for Principal Component Analysis Network, Knowledge-Based Systems, 2019, 166: 108-117. （中科院一区Top）

[7] Kai Sun, Jiangshe Zhang, Chunxia Zhang, Junying Hu, Generalized extreme learning machine autoencoder and a new deep neural network, Neurocomputing, 2017, 230(1): 374-381. （中科院二区，ESI高被引&热点论文，Google学术引用：178）

[8] Junying Hu, Kai Sun, Hai Zhang, “Helmholtz machine with differential privacy”, Information Sciences, 2022, 613:888-903.

[9] Shuang Xu, Lizhen Ji, Zhe Wang, Pengfei Li, Kai Sun, Chunxia Zhang, Jiangshe Zhang*, “Towards reducing severe defocus spread effects for multi-focus image fusion via an optimization based strategy”, IEEE Transactions on Computational Imaging, 2020, 6: 1561-1570.

[10] Junying Hu, Kai Sun, Hai Zhang, “Enhancing performance of the back-propagation algorithm based on a novel regularization method of preserving inter-object-distance of data”, International Journal of Wavelets, Multiresolution and Information Processing, 2021, 19(03).

[11] Rongrong Fei, Jiangshe Zhang, Junmin Liu, Fang Du, Junying Hu, Peiju Chang, Changsheng Zhou, Kai Sun, “Weighted manifold regularized sparse representation of featured injected details for pansharpening”, International Journal of Remote Sensing, 2021, 42(11): 4199-4223.

[12] Fujun Zhao, Jigen Peng, Kai Sun, Angang Cui, “Guarantees of Fast Band Restricted Thresholding Algorithm for Low-Rank Matrix Recovery Problem”. Mathematical Problems in Engineering, 2020.

[13] Lizhen Ji, Jiangshe Zhang, Chunxia Zhang, Cong Ma, Shuang Xu, Kai Sun, “CondenseNet with exclusive lasso regularization”, Neural Computing and Applications, 2021, 33: 16197-16212.

[14] Junying Hu, Peiju Chang, Fang Du, Rongrong Fei, Kai Sun, Jiangshe Zhang, Hai Zhang, “Back-propagating errors through artificial neural networks for variable selection”, International Journal of Wavelets, Multiresolution and Information Processing, 2023：2350046.

[15] Shuang Xu, Jiangshe Zhang, Kai Sun, Zixiang Zhao, Lu Huang, Junmin Liu, Chuaxia Zhang,  “Deep convolutional sparse coding network for pansharpening with guidance of side information”, IEEE International Conference on Multimedia and Expo, 2021

[16] Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Kai Sun, Lu Huang, Junmin Liu, Chunxia Zhang, “FGF-GAN: A lightweight generative adversarial network for pansharpening via fast guided filter”, IEEE International Conference on Multimedia and Expo, 2021

[17] Zixiang Zhao, Jiangshe Zhang, Haowen Bai, Yicheng Wang, Yukun Cui, Lilun Deng, Kai Sun, Chunxia Zhang, Junmin Liu, Shuang Xu, “Deep Convolutional Sparse Coding Networks for Interpretable Image Fusion”, IEEE Conference on Computer Vision and Pattern Recognition Workshop, 2023.

[18] Shuang Xu, Jiangshe Zhang, Zixiang Zhao, Kai Sun, Junmin Liu, Chunxia Zhang, “Deep gradient projection networks for pan-sharpening”, IEEE Conference on Computer Vision and Pattern Recognition, 2021.

[19] Qing Zou, Jiangshe Zhang, Chunxia Zhang, Kai Sun, Chunfeng Tao, Rui Guo, “Automatic fault interpretation based on point cloud fitting and segmentation”, Geophysical Prospecting, 2024.

[20] Yuhua Wang, Junying Hu, Yongli Su, Bo Zhang, Kai Sun, Hai Zhang, “Modified R-BERT with global semantic information for relation classification task”, Computer Speech & Language, 2025, 89: 101686.