北京航空航天大学“卓越百人”计划副教授，长期致力于多模态图像处理和可解释性神经网络方向的研究工作，取得了重要理论和技术突破。近5年来在人工智能顶级期刊TPAMI、图像处理顶级期刊TIP、视频编码权威期刊TCSVT，计算机视觉领域顶级会议ICCV、CVPR、ECCV等发表论文40余篇，包含ICCV 2019 Oral和CVPR 2021 Oral。获得伦敦帝国理工学院 Eryl Cadwallader Davies Prize （优秀博士论文奖），2021年度中国图象图形学学会石青云女科学家奖（青英组），入选中国科协第八届青年人才托举工程，入选斯坦福大学发布的2022年全球前2%顶尖科学家。作为项目负责人承担国家自然科学基金面上项目、青年项目，参与国家自然科学基金首批原创探索项目、重点项目等,负责中国人工智能学会-华为MindSpore基金等横向项目。承担本科生课程“图像信号处理”及研究生课程“信息隐藏”相关教学工作。担任IEEE TPAMI, TIP, TIT，JSTSP, TCSVT等国际知名期刊审稿人。谷歌学术链接：

‪Xin Deng‬ - ‪Google 学术搜索‬

近五年代表性论文(2019年至今)：

[17]  Xin Deng, Chao Gao, Mai Xu. “PIRNet: Privacy-Preserving Image Restoration Network via Wavelet Lifting”, IEEE International Conference on Computer Vision (ICCV), 2023. (计算机视觉领域顶级会议，CCF A类).

[16]  Fangyuan Gao, Xin Deng*, Junpeng Jing et al. “ Extremely Low Bit-rate Image Compression via Invertible Image Generation”, IEEE Transactions on Circuits and Systems for Video Technology   (TCSVT)，2023, early access. 

[15]  Xin Deng, Yufan Deng, Ren Yang, et al. “ MASIC: Deep Mask Stereo Image Compression”, IEEE Transactions on Circuits and Systems for Video Technology   (TCSVT)，2023, 33: 6026 - 6040. 

[14]  Xin Deng, Enpeng Liu, Shengxi Li et al. “ Interpretable Multi-modal Image Registration Network Based on Disentangled Convolutional Sparse Coding”, IEEE Transactions on Image Processing (TIP)，2023, 32: 1078-1091. 

[13]  Xin Deng, Hao Wang, Mai Xu et al. “Omnidirectional image super-resolution via latitude adaptive network”, IEEE Transactions on Multimedia (TMM)，2022, 25: 4108 - 4120. 

[12] Zhenyu Guan, Junpeng Jing, Xin Deng*, Mai Xu, et al. “ DeepMIH: Deep Invertible Network for Multiple Image Hiding”, IEEE Transactions on Pattern Analysis and   Machine Intelligence (TPAMI)，2022, 45(1): 372-390. 

[11] Fangyuan Gao, Xin Deng*, Mai Xu and Jingyi Xu, “ Multi-modal Convolutional Dictionary Learning”，IEEE Transactions on Image Processing (TIP), 2022, 31: 1325-1339.

[10] Xin Deng, Yutong Zhang, Mai Xu, Shuhang Gu, and Yiping Duan, “ Deep Coupled Feedback Network for Exposure Fusion and Image Super-Resolution”，IEEE Transactions on Image Processing (TIP), vol.30, pp 3098-3112，2021.

[9] Xin Deng, Wenzhe Yang,  Ren Yang, Mai Xu, Enpeng Liu, Qianhan Feng, and Radu Timofte, “ Deep Homography for Efficient Stereo Image Compression”, Computer Vision and Pattern Recognition (CVPR), 2021. ORAL (计算机视觉领域顶级会议,CCF A类)

[8] Xin Deng, Hao Wang, Mai Xu, Yichen Guo, Yuhang Song, Yang Li. "LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-resolution."  Computer Vision and Pattern Recognition (CVPR), 2021. (计算机视觉领域顶级会议，CCF A类)

[7] Junpeng Jing, Xin Deng (共一), Mai Xu, Jianyi Wang, Zhenyu Guan,. "HiNet: Deep Image Hiding by Invertible Network."  IEEE International Conference on Computer Vision (ICCV), 2021. (计算机视觉领域顶级会议，CCF A类)

[6] Xiaofei Wang, Lai Jiang, Liu Li, Mai Xu, Xin Deng*， “Joint learning of 3D lesion segmentation and classification for explainable COVID-19 diagnosis”，IEEE Transactions on Medical Imaging (TMI), 2021, 40(9): 2463-2476.

[5] Xin Deng  and   Pier Luigi Dragotti, “ Deep Convolutional Neural Network for Multi-modal   image restoration and fusion”, IEEE Transactions on Pattern Analysis and   Machine Intelligence (TPAMI)，2020. 

[4] Pingfan Song, Xin Deng (共一), Joao F.C. Mota, Nikos Deligiannis, Pier Luigi Dragotti, and Miguel Rodrigues, “Multimodal Image Super resolution via Joint Sparse Representations   induced by Coupled Dictionaries”, IEEE Transactions on Computational Imaging   (TCI), vol 6，pp 57-72, 2020.  

[3] Xin Deng and Pier Luigi Dragotti, “Deep Coupled ISTA Network for Multi-modal Image   Super-resolution”, IEEE Transactions on Image Processing (TIP), vol.29, pp 1683 –1698, 2019.  

[2] Xin Deng, Ren Yang, Mai Xu and Pier Luigi Dragotti, “Wavelet Domain Style Transfer for an Effective   Perception-distortion Tradeoff in Single Image Super-resolution”, IEEE International Conference on Computer Vision (ICCV) 2019, ORAL (计算机视觉领域顶级会议，CCF A类)

[1] Xin Deng,  Pingfan Song, Miguel R. D. Rodrigues and Pier Luigi Dragotti, “RADAR: Robust Algorithm for Depth Image Super Resolution Based on FRI Theory and Multimodal  Dictionary Learning”, IEEE Transactions on Circuits and Systems for Video Technology   (TCSVT), 2019

• [1]. 2016.8 -- 2020.3

  伦敦帝国理工学院       信息与通信工程       博士研究生毕业       工学博士学位

• [2]. 2013.9 -- 2016.1

  北京航空航天大学       信息与通信工程       硕士研究生毕业       工学硕士学位

• [3]. 2009.9 -- 2013.6

  北京航空航天大学       信息与通信工程       大学本科毕业       工学学士学位

• [1]. 2020.4 -- 至今

  北京航空航天大学