基本信息：
姓名：徐海勇
专业：应用数学
职称：教授
E-mail：[email protected]
招生信息
博士及硕士研究生基本要求:
1.对深度学习、计算机视觉等领域研究具有浓厚兴趣，自我驱动能力强；
2.具有较好数学基础、英语和编程能力
研究方向：
人工智能、计算机视觉
教育背景：
2014.09-2020.03 宁波大学通信与信息系统 博士生
2003.09-2005.06 中山大学应用数学 硕士生
1999.09-2003.06 吉林大学数学与应用数学 本科生
工作经历：
2023.01-至今 宁波大学日本女优视频
教授
2020.09-2022.12 宁波大学日本女优视频
副教授
2005.06-2020.08 宁波大学科技学院 讲师、副教授
代表性论文与出版物：
1. Jingyu Song, Haiyong Xu*, Gangyi Jiang, Mei Yu, Yeyao Chen, Ting Luo, and Yang Song, Frequency domain-based latent diffusion model for underwater image enhancement, Pattern Recognition 160 (2025): 111198. (中科院1区，TOP)
2. Yuan Zhou, Haiyong Xu*, Gangyi Jiang, Mei Yu, Yeyao Chen, and Ting Luo, UIE-SFIFormer: Underwater Image Enhancement Based on Physical-Guided Spatial–Frequency Interaction Transformer, IEEE Journal of Oceanic Engineering (2024). (中科院2区)
3. Zexuan Xing, Haiyong Xu*, Gangyi Jiang, Mei Yu, Ting Luo, and Yeyao Chen, Vision graph convolutional network for underwater image enhancement, Knowledge-Based Systems (2024): 112048. (中科院1区，TOP)
4. Ting Luo, Yuhang Zhou, Zhouyan He, Gangyi Jiang, Haiyong Xu, Shuren Qi, and Yushu Zhang, StegMamba: Distortion-free Immune-Cover for Multi-Image Steganography with State Space Model, IEEE Transactions on Circuits and Systems for Video Technology (2024). (中科院1区，TOP)
5. Wei Zhang, Gangyi Jiang, Yeyao Chen, Haiyong Xu, Hao Jiang, and Mei Yu, Multi-stage coarse-to-fine progressive enhancement network for single-image HDR reconstruction, Displays 84 (2024): 102791. (中科院2区)
6. Ting Luo, Jun Wu, Zhouyan He, Haiyong Xu, Gangyi Jiang, and Chin-Chen Chang, WFormer: A Transformer-Based Soft Fusion Model for Robust Image Watermarking, IEEE Transactions on Emerging Topics in Computational Intelligence (2024). (中科院3区)
7. Zean Chen, Yeyao Chen, Gangyi Jiang, Mei Yu, Haiyong Xu, and Ting Luo, Multi-Scale Spatial-Angular Collaborative Guidance Network for Heterogeneous Light Field Spatial Super-Resolution, IEEE Transactions on Broadcasting (2024). (中科院1区，TOP)
8. Yeyao Chen, Gangyi Jiang, Mei Yu, Haiyong Xu, You Yang, and Yo-Sung Ho, Learning zero-shot dense light field reconstruction from heterogeneous imaging, Information Fusion 103 (2024): 102088. (中科院1区，TOP)
9. Baozhen Du, Haiyong Xu, and Qunxin Chen, No-reference underwater image quality assessment based on Multi-Scale and mutual information analysis, Displays 86 (2025): 102900. (中科院2区)
10. Yuhang Zhou, Ting Luo, Zhouyan He, Gangyi Jiang, Haiyong Xu, and Chin-Chen Chang, CAISFormer: Channel-wise attention transformer for image steganography, Neurocomputing 603 (2024): 128295. (中科院2区)
11. Yeyao Chen, Gangyi Jiang, Mei Yu, Chongchong Jin, Haiyong Xu, and Yo-Sung Ho, HDR light field imaging of dynamic scenes: A learning-based method and a benchmark dataset, Pattern Recognition 150 (2024): 110313. (中科院1区，TOP)
12. Rui Zhou, Gangyi Jiang, Yueli Cui, Yeyao Chen, Haiyong Xu, Ting Luo, and Mei Yu, MAFBLiF: Multi-scale attention feature fusion-based blind light field image quality assessment, IEEE Transactions on Broadcasting (2024). (中科院1区，TOP)
13. Yeyao Chen, Gangyi Jiang, Chongchong Jin, Ting Luo, Haiyong Xu, and Mei Yu, Multi-attention learning and exposure guidance toward ghost-free high dynamic range light field imaging, IEEE Transactions on Visualization and Computer Graphics (2024). (中科院1区，TOP)
14. Yun Liu, Guanglong Liao, Gangyi Jiang, Yeyao Chen, Yueli Cui, Haiyong Xu, and Mei Yu， Multi-exposure fused light field image quality assessment for dynamic scenes: Benchmark dataset and objective metric， Expert Systems with Applications 256 (2024): 124881. (中科院1区，TOP)
15.Chen Wang, Haiyong Xu*, Gangyi Jiang, Mei Yu, Ting Luo, and Yeyao Chen, Underwater Monocular Depth Estimation Based on Physical-Guided Transformer, IEEE Transactions on Geoscience and Remote Sensing, 2024. (中科院1区)
16.Biao Wang, Haiyong Xu*, Gangyi Jiang, Mei Yu, Tingdi Ren, Ting Luo, and Zhongjie Zhu, UIE-Convformer: Underwater Image Enhancement Based on Convolution and Feature Fusion Transformer, IEEE Transactions on Emerging Topics in Computational Intelligence, 2024. (中科院3区)
17.Xinyue Li, Haiyong Xu*, Gangyi Jiang, Mei Yu, Ting Luo, Xuebo Zhang, and Hongwei Ying, Underwater Image Quality Assessment from Synthetic to Real-world: Dataset and Objective Method, ACM Trans. Multimedia Comput. Commun. Appl. 20, 3, Article 71 (March 2024), 23 pages. //doi.org/10.1145/3624983. (中科院3区)
18.Xinyue Li, Haiyong Xu*, Gangyi Jiang, Mei Yu, Ting Luo, and Hongwei Ying, Underwater Image Quality Assessment Based on Multiscale and Antagonistic Energy, IEEE Transactions on Instrumentation and Measurement, 2023. (中科院2区，TOP)
19.Meisheng Guan, Haiyong Xu*, Gangyi Jiang, Mei Yu, Ting Luo, Xuebo Zhang, DiffWater: Underwater Image Enhancement Based on Conditional Denoising Diffusion Probabilistic Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023. (中科院2区，TOP)
20.Haiyong Xu, Gangyi Jiang, Mei Yu, Zhongjie Zhu, Yongqiang Bai, Yang Song, and Huifang Sun. Tensor product and tensor-singular value decomposition based multi-exposure fusion of images, IEEE Transactions on Multimedia 24 (2022): 3738-3753. (中科院1区，TOP)
21.Tingdi Ren, Haiyong Xu*, Gangyi Jiang, Mei Yu, Xuan Zhang, Biao Wang, and Ting Luo. Reinforced Swin-Convs transformer for simultaneous underwater sensing scene image enhancement and super-resolution, IEEE Transactions on Geoscience and Remote Sensing 60 (2022): 1-16. (中科院1区)
科研项目：
1. 国家自然科学基金面上项目 基于机器视觉的水下立体成像质量优化及高效编码 2022-01-01至2025-12-31 在研
2. 浙江省自然科学基金一般项目 面向高清晰的水下双目立体视觉感知质量评价及优化研究 2019-01-01至2021-12-31 结题
3. 宁波市自然科学基金重点项目 面向3D场景测量和深度学习驱动的水下立体成像质量优化 2022-09-01至2025-08-31 在研
获奖情况：
1. 2019年：宁波市领军和拔尖人才培养工程第三层次。
2. 2013年：宁波市高校思想政治教育“优秀班主任”。
3. 2013年：大学生学科竞赛“优秀指导教师”。
4. 2012年：宁波大学优秀班主任
教学状况：
主讲本科生和研究生《深度学习及应用》、《数值分析》、《高等数学》、《概率论与数量统计》、《线性代数》等课程
