徐迈本科毕业于北京航空航天大学、硕士毕业于清华大学、博士毕业于英国伦敦帝国理工学院，任北京航空航天大学二级教授、校学术委员会委员、校务委员会委员、电子信息工程学院副院长，教育部工学导师队伍建设分委会委员。国家自然科学基金委创新群体（A 类）项目负责人（2026 年度）、国家级领军人才特聘教授（2021 年度）、国家自然科学基金委青年基金 B 类项目（2019 年度）、国家级人才青年学者（2018 年度）。 

长期致力于图像处理、人工智能、视频通信等领域的研究工作。主持国家自然科学基金重点、首批原创探索、国家优青、北京市杰青、GF 创新特区等项目。以第一/通讯作者在 IEEE TPAMI（IF:20.6，19 篇）等 SCI Q1 区期刊及 CVPR 等CCF-A 类会议上发表论文 200 余篇，其中 IEEE 期刊论文 100 余篇；谷歌引用1.2 万余次，ESI 高被引论文/热点论文 18 篇，获包括 CCF A 类会议在内的IEEE/ACM国际会议最佳论文奖7项。担任IEEE TIP（IF:15.3）、IEEE TMM（IF:9.9）期刊编委，连续两年获 IEEE TMM 期刊杰出编委奖。 获 2020 年度教育部技术发明一等奖（序：1）、2023 年度北京市自然科学一等奖（序：1，获国家奖提名资格）等省部级一等奖 4 项，第 13 届中国人工智能学会吴文俊自然科学一等奖（序：1）等国家一级学会一等奖 2 项；获第 24 届中国科协求是杰出青年成果转化奖（全国每年 10 人）等。 

在人才培养方面，连续 15 年从事《图像处理》本科课程教学工作，获高校计算机专业优秀教师奖；连续 10 年从事《机器学习》研究生课程教学工作，获中国人工智能学会教学成果一等奖。指导的博士生获国家自然科学基金委博士生基金项目 3 人，中国科协青年托举工程博士生专项 3 人。指导的学生获北航研究生最高荣誉硕士生十佳（沈元奖章）7人，博士生十佳（沈元奖章）6人。目前，培养博士毕业生9 人，获北航校优秀博士论文奖 5 人，获北京市优秀博士论文奖 1 人、提名奖 1人，中国图象图形学学会优秀博士论文 1 人，获北京市优秀研究导师荣誉。 

在团队建设方面，带领 1 支 8 名教师构成的团队，其中教授 5 人；培养国家杰青（关振宇）、国家自然科学基金青年 B 类项目（邓欣）、国家海外优青（李胜曦）、国家级人才青年学者（蒋铼）。 

主页：http://www.buaamc2.net/
 

近五年，二十篇代表性论文（2020年以来）1. Mai Xu#, Yichen Guo#, Shangmou Zhang, Lai Jiang, Xin Deng, Gaoxing Chen. P4VC: Positive Perturbation based Perceptual Preprocessing Framework for Video Compression. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). Early Access, doi: 10.1109/TPAMI.2026.3727894.

2. Tie Liu#, Mai Xu#, Shengxi Li, Jialu Zhang, Lai Jiang. UniFES: A Unified Recurrent Network for Quality Enhancement and Stabilization in Face Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2026, 48(7): 8166-8184.

3. Qunliang Xing, Ce Zheng, Mai Xu*, Jing Yang, Shengxi Li. Breaking the Multi-Enhancement Bottleneck: Domain-Consistent Quality Enhancement for Compressed Images. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2026, 48(4): 4692 - 4707.

4. Xin Deng, Chenxiao Zhang, Lai Jiang, Jingyuan Xia, Mai Xu*. DeepSN-Net: Deep Semi-Smooth Newton Driven Network for Blind Image Restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2025, 47(4): 2632-2646. (Note: Highly cited paper from ESI)

5. Minglang Qiao#, Mai Xu#, Lai Jiang, Peng Lei, Shijie Wen, Yunjin Chen. HyperSOR: Context-Aware Graph Hypernetwork for Salient Object Ranking. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2024, 46(9): 5873-5889. (Note: Highly cited paper from ESI)

6. Tie Liu, Shengxi Li, Mai Xu*, Li Yang, Xiaofei Wang. Assessing Face Image Quality: A Large-scale Database and a Transformer Method. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2024, 46(5): 3981-4000.

7. Xin Deng, Enpeng Liu, Chao Gao, Shengxi Li, Shuhang Gu, Mai Xu*. CrossHomo: Cross-Modality and Cross-Resolution Homography Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2024, 46(8): 5725-5742.

8. Minglang Qiao, Yufan Liu, Mai Xu*, Xin Deng, Bing Li, Weiming Hu, Ali Borji. Joint Learning of Audio–Visual Saliency Prediction an Sound Source Localization on Multi-face Videos. International Journal of Computer Vision (IJCV) . 2024, 132(6): 2003-2025.

9. Xin Deng, Jingyi Xu, Fangyuan Gao, Xiancheng Sun, Mai Xu*. Deep M2CDL: Deep Multi-Scale Multi-Modal Convolutional Dictionary Learning Network. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2024, 46(5): 2770-2787.

10. Qunliang Xing, Mai Xu*, Xin Deng, Yichen Guo. DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocus. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2023, 45(8): 9611-9626.

11. Li Yang, Mai Xu*, Yichen Guo, Xin Deng, Fangyuan Gao, Zhenyu Guan. Hierarchical Bayesian LSTM for Head Trajectory Prediction on Omnidirectional Images. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2022, 44(11): 7563-7580.

12. Mai Xu, Lai Jiang, Chen Li, Zulin Wang, Xiaoming Tao. Viewport-based CNN: A Multi-task Approach for Assessing 360° Video Quality. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2022, 44(4): 2198-2215.

13. Xiaofei Wang, Lai Jiang, Liu Li, Mai Xu*, Xin Deng*, Lisong Dai, Xiangyang Xu*, Tianyi Li, Yichen Guo, Zulin Wang, Pier Luigi. Joint Learning of 3D Lesion Segmentation and Classification for Explainable COVID-19 Diagnosis. IEEE Transactions on Medical Imaging (TMI). 2021, 40(9): 2463-2476.

14. Mai Xu#*, Li Yang#, Xiaoming Tao, Yiping Duan and Zulin Wang. Saliency Prediction on Omnidirectional Image with Generative Adversarial Imitation Learning. IEEE Transactions on Image Processing (TIP). 2021, 30: 2087-2102.

15. Lai Jiang, Mai Xu*, Zulin Wang, Leonid Sigal. DeepVS2.0: A Saliency-Structured Deep Learning Method for Predicting Dynamic Visual Attention. International Journal of Computer Vision (IJCV). 2021, 129(1): 203-224.

16. Tianyi Li, Mai Xu*, Runzhi Tang, Ying Chen, Qunliang Xing. DeepQTMT: A Deep Learning Approach for Fast QTMT-Based CU Partition of Intra-Mode VVC. IEEE Transactions on Image Processing (TIP). 2021, 30: 5377-5390.

17. Zhenyu Guan, Qunliang Xing, Mai Xu*, Ren Yang, Tie Liu, Zulin Wang. MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2021, 43(3): 949-963. (Note: Highly cited paper from ESI)

18. Xin Deng, Yutong Zhang, Mai Xu*, Shuanghang Gu, Yiping Duan. Deep Coupled Feedback Network for Joint Exposure Fusion and Image Super-Resolution. IEEE Transactions on Image Processing (TIP). 2021, 30: 3098-3112.

19. Mai Xu, Chen Li, Shanyi Zhang, Patrick Le Callet. State-of-the-Art in 360° Video/Image Processing: Perception, Assessment and Compression. IEEE Journal of Selected Topics in Signal Processing (J-STSP). 2020, 14(1): 5-26. (Note: Highly cited paper from ESI)

20. Liu Li, Mai Xu*, Hanruo Liu, Yang Li, Xiang Fan, Zulin Wang, Lingli Wang. A Large-scale Database and a CNN Model for Attention Based Glaucoma Detection. IEEE Transactions on Medical Imaging (TMI). 2020, 39(2): 413-424.

 

 

 

 

 

 

 

• [1] 视频编码、视频通信、计算机视觉、机器学习、人工智能