跳至主要內容

丁兴号

SmartDSP大约 18 分钟

丁兴号

厦门大学信息学院、AI研究院双聘教授，博导。福建省百千万人才、省新世纪人才、入选爱思唯尔中国高被引学者和斯坦福全球前2%顶尖科学家。长期从事医学成像与分析、机器学习、计算机视觉等研究工作，主持1*6工程项目1项、基础加强重点课题1项、国家自然科学基金项目4项（其中2项为CSMRI快速磁共振成像相关、2项为医学影像和计算机视觉相关）、其他省部级及企业委托项目50余项。已在包括IEEE TMI、TPAMI、TIP、TNNLS、MRM、JBHI、Signal Processing、Pattern Recognition、MICCAI、IPMI、CVPR、ICCV、ECCV、IJCAI、AAAI、ACM MM等领域重要期刊和会议上发表学术论文百余篇。论文Google引用19000+次，h指数:61。1篇论文被信号处理领域顶刊Signal Processing评为2020年度最佳论文（一般每年全球仅1篇）、7篇论文的Google引用600+次（其中3篇1000+）。成果获得福建省科技进步、福建省自然科学奖、吴文俊人工智能自然科学奖等奖项各1项。

  • 学习和研究工作简历:

    • 2019.06–至 今，厦门大学信息学院，教授
    • 2011.08–2019.05，厦门大学信息科学与技术学院，教授
    • 2009.09–2011.03，杜克（DUKE）大学电子与计算机工程系，博士后
    • 2006.08–2011.07，厦门大学信息科学与技术学院，副教授
    • 2006.01–2008.10，厦门大学物理学博士后流动站，博士后
    • 2003.11–2006.07，厦门大学信息科学与技术学院，讲师
    • 1998.09–2003.10，合肥工业大学，仪器科学与光电工程学院，博士
    • 1994.09–1998.09，合肥工业大学， 精密仪器系，学士

  • 研究方向: 图像处理、机器学习、大数据分析与处理等

  • 所属部门: 通信工程系

  • 电子邮件: dxh@xmu.edu.cn

  • 个人主页: https://xmu-smartdsp.github.io/teamindex/xhding.htmlopen in new window

  • 主讲课程:

    • 本科生：随机信号分析（学位课）、统计信号处理（选修课）、图像处理;
    • 研究生：信号检测与估计、小波分析及应用、矩阵分析、图像处理、机器学习

  • 指导研究生:

    • 2025:博士生：许岚辉，施纯森，吴成霖
    • 2024:博士生：袁与炫，郭慧敏
    • 2023:博士生：陈睿哲，陈学林，方亦凡，郭奕松
    • 2022:博士生：王莹莹，黄海靓
    • 2021:博士生：孟戈，黄飞成
    • 2020:博士生：徐浩特，匡振宇
    • 2019:博士生：富振奇，马超
    • 2018:博士生：林煌星，井长兴
    • 2017:博士生：王武
    • 2016:博士生：孙立言
    • 2015:博士生：王宇
    • 2014:博士生：傅雪阳

  • 学术兼职：

    • IEEE会员， 2009-
    • 厦门市通信学会会员，2005-
    • 国家自然科学基金评审人
    • IEEE Transactions on Medical Imaging 审稿人
    • IEEE Transactions on Image Processing 审稿人
    • IEEE Transactions on Multimedia 审稿人
    • IEEE Transactions on Geoscience and Remote Sensing 审稿人
    • IEEE Transactions on Circuits and Systems for Video Technology 审稿人
    • IEEE Transactions on Neural Networks and Learning Systems 审稿人
    • IEEE Journal of Oceanic Engineering 审稿人
    • IEEE Transactions on Industrial Informatics 审稿人
    • International Journal of Computer Vision 审稿人
    • Pattern recognition 审稿人
    • Information Fusion 审稿人
    • Conference on Computer Vision and Pattern Recognition 审稿人
    • International Conference on Machine Learning 审稿人
    • Proceedings of the AAAI Conference on Artificial Intelligence 审稿人
    • Proceedings of the ACM International Conference on Multimedia 审稿人
    • Advances in Neural Information Processing Systems 审稿人
    • European Conference on Computer Vision 审稿人
    • 华南理工大学学报审稿人
    • 电子学报审稿人
    • 数据采集与处理审稿人

  • 近年来承担的科研项目情况：

    • 国家自然科学基金，基于伪健康图像生成的知识嵌入深度学习病灶分割方法研究，202101-202512， 60万，主持，已结题。
    • 国家自然科学基金，基于部分K空间数据子空间分解的贝叶斯非参数压缩感知MRI重建方法，201601-201912， 67.8万，主持，已结题。
    • 国家自然科学基金，基于非参数层次贝叶斯模型的自适应字典稀疏表示方法及应用，201201-201512，60万，主持，已结题。
    • 国家自然科学基金，基于压缩传感理论的高时空分辨率动态磁共振成像关键技术研究，201001-201212，21万，主持，已结题。
    • 国家自然科学基金面上项目：不均匀磁场中快速获得高分辨二维核磁共振谱的新技术，201001-201212，44万，第一参与人，已结题。
    • 福建省高等学校新世纪优秀人才，2012年，30万，主持，已结题。
    • 中央高校基本科研业务费交叉项目，基于机器学习理论的磁共振脑成像重建方法研究，201601-201812，60万，主持，已结题。
    • 广东省自然科学基金项目：基于贝叶斯多任务压缩感知理论的多对比度MRI重建方法，2016.1-2018.12，10万，主持，已结题。（备注：依托厦大深圳研究院申请）
    • 企业委托项目，街景影像中的***研究，2015.6-2016.12，30万，主持，已结题。
    • 企业委托项目，基于机器学***技术，201509-201612，20万，主持，已结题。
    • 企业委托项目，遥感图像***系统，2015.9 -2016.5，17万，主持，已结题。
    • 企业委托项目，车联***算法开发，201511-201604，20万，主持，已结题。
    • 中央高校基本科研业务费奖励自由探索项目，单幅水下退化图像视觉增强方法研究，201508-2015012，20万，主持，已结题。
    • 企业委托项目，透雾***系统，2014.3-2014.12，42万，主持，已结题。
    • 企业委托项目，公共安全***系统,2013.10- 2014.10 ，15万，已结题、主持。
    • 中央高校基本科研业务费，非参数层次贝叶斯自适应字典稀疏表示方法及其应用，201101-201312，30万，主持，已结题。
    • 福建省自然科学基金项目：基于非参数核估计的各向异性图像处理方法研究，2010.1-2012.12，5万，第一合作者，已结题。
    • 企业委托项目，FFS06型辐射仪***系统，200909-201003，4万，主持，已结题。
    • 福建省自然科学基金，自适应冗余字典稀疏表示理论及其在图像低比特率压缩中应用，200805-201012， 7万，主持，已结题。
    • 厦门市科技计划项目，汽车视频黑匣子系统，200804-201012，30万，主持，已结题。
    • 企业委托项目，汽车行驶***系统，200801-200912， 15万，主持，已结题。
    • 福建省自然科学基金，Contourlet变换域视觉特性建模及其应用研究，2006.8 - 2007.12，2万，主持，已结题。

  • 近年来发表的相关会议论文情况（*为通信作者）:

    • Yunlong Lin, Zixu Lin, Kunjie Lin, Jinbin Bai, Panwang Pan, Chenxin Li, Haoyu Chen, Zhongdao Wang, Xinghao Ding*(丁兴号), Wenbo Li, Shuicheng Yan. Jarvisart: Liberating human artistic creativity via an intelligent photo retouching agent. Advances in Neural Information Processing Systems, vol. 38, pp. 52088-52130, 2026. (NeurIPS,机器学习领域顶级国际会议,CCF-A;[Project]: https://jarvisart.vercel.app/open in new window)

    • Zhongnan Cai, Yingying Wang, Hui Zheng, Panwang Pan, ZiXu Lin, Ge Meng, Chenxin Li, Chunming He, Jiaxin Xie, Yunlong Lin, Junbin Lu, Yue Huang and Xinghao Ding. Pan-lut: Efficient pan-sharpening via learnable look-up tables. Advances in Neural Information Processing Systems, 2026, 38: 126459-126483.(NeurIPS Oral,机器学习领域顶级国际会议,CCF-A)

    • Kairun Wen, Runyu Chen, Hui Zheng, Yunlong Lin, Panwang Pan, Chenxin Li, Wenyan Cong, Jian Zhang, Junbin Lu, Chenguo Lin, Dilin Wang, Zhicheng Yan, Hongyu Xu, Justin Theiss, Yue Huang(黄悦), Xinghao Ding*(丁兴号), Rakesh Ranjan, Zhiwen Fan. DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling. Advances in Neural Information Processing Systems, 2026, 38: 108604-108634.(NeurIPS,机器学习领域顶级国际会议,CCF-A)

    • Ge Meng, Zhongnan Cai, Ruizhe Chen, Jingyan Tu, Yingying Wang, Yue Huang(黄悦), Xinghao Ding*(丁兴号). FRN: Fractal-Based Recursive Spectral Reconstruction Network. Advances in Neural Information Processing Systems, 2026, 38: 26233-26250.(NeurIPS,机器学习领域顶级国际会议,CCF-A)

    • Yingying Wang, Rongjin Zhuang, Hui Zheng, Xuanhua He, Ke Cao, Xiaotong Tu, Xinghao Ding(丁兴号). Self-supervised multiplex consensus mamba for general image fusion. Proceedings of the AAAI Conference on Artificial Intelligence. vol. 40, no. 22, pp. 18647-18655. 2026.(AAAI，人工智能领域顶级国际会议,CCF-A)

    • Yingying Wang, Xuanhua He, Chen Wu, Jialing Huang, Suiyun Zhang, Rui Liu, Xinghao Ding(丁兴号), Haoxuan Che. MMMamba: A Versatile Cross-Modal In Context Fusion Framework for Pan-Sharpening and Zero-Shot Image Enhancement. Proceedings of the AAAI Conference on Artificial Intelligence. vol. 40, no. 22, pp. 18656-18664. 2026.(AAAI，人工智能领域顶级国际会议,CCF-A)

    • Yuxuan Yuan, Lichen Wei, Luyao Tang, Chaoqi Chen, Zheyuan Cai, Yue Huang(黄悦) and Xinghao Ding(丁兴号). Decompose and Attribute: Boosting Generalizable Open-Set Object Detection via Objectness Score. Proceedings of the AAAI Conference on Artificial Intelligence. 2026, 40(15): 12286-12294.(AAAI，人工智能领域顶级国际会议,CCF-A)

    • Yunlong Lin, Linqing Wang, Kunjie Lin, Zixu Lin, Kaixiong Gong, Wenbo Li, Bin Lin, Zhenxi Li, Shiyi Zhang, Yuyang Peng, Wenxun Dai, Xinghao Ding*(丁兴号), Chunyu Wang, Qinglin Lu. Jarvisevo: Towards a self-evolving photo editing agent with synergistic editor-evaluator optimization. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 27291-27302, 2026. (CVPR，计算机视觉领域顶级国际会议,CCF-A;与腾讯混元合作，受机器之心、量子位报道,[Project]:https://jarvisevo.vercel.app/open in new window)

    • Yuzhi Huang, Kairun Wen, Rongxin Gao, Dongxuan Liu, Yibin Lou, Jie Wu, Jing Xu, Jian Zhang, Zheng Yang, Yunlong Lin, Chenxin Li, Panwang Pan, Junbin Lu, Jingyan Jiang, Xinghao Ding(丁兴号), Yue Huang(黄悦), Zhi Wang. Thinking in dynamics: How multimodal large language models perceive, track, and reason dynamics in physical 4d world. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 33446-33456. 2026. (CVPR，计算机视觉领域顶级国际会议,CCF-A)

    • Yunlong Lin, Tian Ye, Sixiang Chen, Zhenqi Fu, Yingying Wang, Wenhao Chai, Zhaohu Xing, Wenxue Li, Lei Zhu, Xinghao Ding*(丁兴号). Aglldiff: Guiding diffusion models towards unsupervised training-free real-world low-light image enhancement. Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, no. 5, pp. 5307-5315, 2025. (AAAI，人工智能领域顶级国际会议,CCF-A)

    • Ge Meng, Jingyan Tu, Jingjia Huang, Yunlong Lin, Yingying Wang, Xiaotong Tu, Yue Huang, Xinghao Ding*(丁兴号). Sp3ctralmamba: Physics-driven joint state space model for hyperspectral image reconstruction. Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, no. 6, pp. 6108-6116. 2025. (AAAI，人工智能领域顶级国际会议,CCF-A)

    • Ge Meng, Jingjia Huang, Jingyan Tu, Yingying Wang, Yunlong Lin, Xiaotong Tu, Yue Huang, Xinghao Ding*(丁兴号). Accelerated diffusion via high-low frequency decomposition for pan-sharpening. Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, no. 6, pp. 6117-6125. 2025. (AAAI，人工智能领域顶级国际会议,CCF-A)

    • Yunlong Lin, Zhenqi Fu, Kairun Wen, Tian Ye, Sixiang Chen, Ge Meng, Yingying Wang, Chui Kong, Yue Huang, Xiaotong Tu, Xinghao Ding*(丁兴号). DPLUT: Unsupervised low-light image enhancement with lookup tables and diffusion priors. Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, no. 5, pp. 5316-5324. 2025. (AAAI，人工智能领域顶级国际会议,CCF-A)

    • Yunlong Lin, Zixu Lin, Haoyu Chen, Panwang Pan, Chenxin Li, Sixiang Chen, Kairun Wen, Yeying Jin, Wenbo Li, Xinghao Ding*(丁兴号). Jarvisir: Elevating autonomous driving perception with intelligent image restoration. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 22369-22380, 2025. (CVPR，计算机视觉领域顶级国际会议,CCF-A;[Project]: https://cvpr2025-jarvisir.github.io/open in new window)

    • Yifan Fang, Yifei Fang, Ruizhe Chen, Haote Xu, Xinghao Ding(丁兴号), Yue Huang(黄悦). Demeaned sparse: Efficient anomaly detection by residual estimate. Forty-second International Conference on Machine Learning, 2025. (ICML，机器学习与人工智能领域顶级国际会议,CCF-A)

    • Yuxuan Yuan, Luyao Tang, Yixin Chen, Chaoqi Chen, Yue Huang*(黄悦), Xinghao Ding(丁兴号). ASGS: Single-Domain Generalizable Open-Set Object Detection via Adaptive Subgraph Searching. Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 20911-20921. 2025. (ICCV，计算机视觉领域顶级国际会议,CCF-A)

    • Luyao Tang, Kunze Huang, Chaoqi Chen, Yuxuan Yuan, Chenxin Li, Xiaotong Tu, Xinghao Ding(丁兴号), Yue Huang*(黄悦). Dissecting generalized category discovery: Multiplex consensus under self-deconstruction. Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 297-307. 2025. (ICCV，计算机视觉领域顶级国际会议,CCF-A)

    • Yuzhi Huang, Chenxin Li*, Haitao Zhang, Zixu Lin, Yunlong Lin, Hengyu Liu, Wuyang Li, Xinyu Liu, Jiechao Gao, Yue Huang*(黄悦), Xinghao Ding(丁兴号), Yixuan Yuan. Track any anomalous object: A granular video anomaly detection pipeline. Proceedings of the Computer Vision and Pattern Recognition Conference, pp. 297-307. 2025. (CVPR，计算机视觉领域顶级国际会议,CCF-A)

    • Huangxing Lin, Yihong Zhuang, Xinghao Ding(丁兴号), Delu Zeng(曾德炉), Yue Huang(黄悦), Xiaotong Tu(涂晓彤), John Paisley. Self-supervised image denoising using implicit deep denoiser prior. Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, no. 2, pp. 1586-1594, 2023. (AAAI，人工智能领域顶级国际会议,CCF-A)

    • Zhenqi Fu, Yan Yang, Xiaotong Tu(涂晓彤), Yue Huang(黄悦), Xinghao Ding(丁兴号) and Kai-Kuang Ma. Learning a simple low-light image enhancer from paired low-light instances. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2023: 22252-22261.(CVPR，计算机视觉领域顶级国际会议,CCF-A,Google citations: 514次)

    • Zhenqi Fu, Wu Wang, Yue Huang(黄悦), Xinghao Ding(丁兴号), Kai-Kuang Ma. Uncertainty inspired underwater image enhancement. European conference on computer vision. Cham: Springer Nature Switzerland, 2022: 465-482.(ECCV，计算机视觉领域顶级国际会议,CCF-A,Google citations: 398次)

    • Zhenqi Fu, Huangxing Lin, Yan Yang, Shu Chai, Liyan Sun, Yue Huang(黄悦), Xinghao Ding*(丁兴号). Unsupervised underwater image restoration: From a homology perspective. Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 1, pp. 643-651, 2022. (AAAI，人工智能领域顶级国际会议,CCF-A,Google citations: 198次)

    • Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang(黄悦), Xinghao Ding*(丁兴号). Underwater image enhancement via learning water type desensitized representations. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 2764-2768, 2022. (Google citations: 116次)

    • Xueyang Fu, Qi Qi, Zheng-Jun Zha, Yurui Zhu, Xinghao Ding*(丁兴号). Rain streak removal via dual graph convolutional network. Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 2, pp. 1352-1360, 2021. (AAAI，人工智能领域顶级国际会议,CCF-A,Google citations: 196次)

    • Chaoqi Chen, Zebiao Zheng, Xinghao Ding(丁兴号), Yue Huang(黄悦) and Qi Dou. Harmonizing transferability and discriminability for adapting object detectors. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2020: 8869-8878.(CVPR，计算机视觉领域顶级国际会议,CCF-A,Google citations: 434次)

    • Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong, Xinghao Ding(丁兴号), Yue Huang(黄悦), Tingyang Xu and Junzhou Huang. Progressive feature alignment for unsupervised domain adaptation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 627-636, 2019. (CVPR，计算机视觉领域顶级国际会议,CCF-A,Google citations: 628次)

    • Chengquan Zhang, Borong Liang, Zuming Huang, Mengyi En, Junyu Han, Errui Ding, Xinghao Ding*(丁兴号). Look more than once: An accurate detector for text of arbitrary shapes. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 10552-10561, 2019. (CVPR，计算机视觉领域顶级国际会议,CCF-A,Google citations: 358次)

    • Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding(丁兴号), John Paisley. Removing rain from single images via a deep detail network. Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 2017: 3855-3863.(CVPR，计算机视觉领域顶级国际会议,CCF-A,Google citations: 1628次)

    • Junfeng Yang, Xueyang Fu, Yuwen Hu, Yue Huang(黄悦), Xinghao Ding(丁兴号), John Paisley. PanNet: A deep network architecture for pan-sharpening. IEEE International Conference on Computer Vision. 2017: 5449-5457. (ICCV，计算机视觉领域顶级国际会议,CCF A,Google citations: 1016次)

    • Xueyang Fu, Zhiwen Fan, Mei Ling, Yue Huang, Xinghao Ding*(丁兴号). Two-step approach for single underwater image enhancement. 2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), pp. 789-794, 2017.(Google citations: 348次)

    • Xueyang Fu, Delu Zeng(曾德炉), Yue Huang(黄悦), Xiao-Ping Zhang, Xinghao Ding*(丁兴号). A weighted variational model for simultaneous reflectance and illumination estimation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2782-2790, 2016. (CVPR，计算机视觉领域顶级国际会议,CCF-A,Google citations: 1417次)

    • Yiyong Jiang, Xinghao Ding*(丁兴号), Delu Zeng(曾德炉), Yue Huang(黄悦), John Paisley. Pan-sharpening with a Hyper-Laplacian Penalty, IEEE International Conference on Computer Vision. 2015: 540-548. (ICCV，计算机视觉领域顶级国际会议,CCF A,Google citations: 63次)

    • Xueyang Fu, Ye Sun, Minghui Liwang, Yue Huang(黄悦), Xiao-Ping Zhang and Xinghao Ding*(丁兴号). A novel retinex based approach for image enhancement with illumination adjustment, IEEE International Conference on Acoustics, Speech and Signal Processing, p. 1190 - 1194, Florence, Italy, May 4-9, 2014(Google citations: 118次).

    • Xueyang Fu, Peixian Zhuang, Yue Huang(黄悦), Yinghao Liao, Xiao-Ping Zhang and Xinghao Ding*(丁兴号). A retinex-based enhancing approach for single underwater image, IEEE International Conference on Image Processing , p. 4572-4576, Paris, France, Oct. 27-30, 2014. (Google citations: 815次)

    • XianhuiZheng，Yinghao Liao, Xinghao Ding*(丁兴号). Single-Image-Based Rain and Snow Removal Using Multi-guided Filter, 20th International Conference on Neural Information Processing，Daegu, Korea，2013. (Google citations: 201次)

    • Xueyang Fu, Delu Zeng, Yue Huang, Xinghao Ding(丁兴号), Xiao-Ping Zhang．A variational framework for single low light image enhancement using bright channel prior，　1st IEEE Global Conference on Signal and Information Processing（GlobalSIP 201），December 3-5, 2013 • Austin, Texas, U.S.A. (Google citations: 95次)

  • 近年来发表的相关期刊论文情况（*为通信作者）:

    • Linyu Fan, Che Wang, Ming Ye, Qizhi Yang, Zejun Wu, Lu Wang, Xinghao Ding*(丁兴号), Yue Huang, Jianfeng Bao, Shuhui Cai, Congbo Cai*(蔡聪波). Bridging the synthetic-to-real gap in quantitative MRI mapping via frequency-guided domain adaptation. Pattern Recognition, 180: 114135, 2026. (模式识别顶级期刊，JCR1区)
    • Xiuna Zeng, Zhenqi Fu, Peixian Zhuang, Xiaotong Tu, Yue Huang, Xinghao Ding(丁兴号). WaterLUT: A Lightweight and Generalizable Framework for Real-Time Underwater Image Enhancement. IEEE Journal of Oceanic Engineering, 2026. (海洋工程领域期刊，JCR1区)
    • Xiuna Zeng, Jiaao Peng, Zhenqi Fu, Linyu Fan, Xiaotong Tu, Yue Huang, Xinghao Ding(丁兴号). Accelerating Adaptive Diffusion and Uncertainty Modeling for Underwater Image Enhancement. IEEE Transactions on Multimedia, 2025. (多媒体领域顶级期刊，JCR1区)
    • Jinkai Zhang, Yingying Wang, Shengbin Ma, Xinghao Ding(丁兴号), Xiaotong Tu. SOMA: A semantic-guided Order-aware Mamba Architecture for multivariate time series forecasting. Advanced Engineering Informatics, 68: 103788, 2025. (工程技术领域顶级期刊，JCR1区)
    • Feifei Li, Haote Xu, Haodi Xu, Yinhao Liu, Xinghao Ding*(丁兴号). CVC: Further aligning LLMs via cross-view correction for time series forecasting. Knowledge-Based Systems, 326: 113957, 2025. (人工智能领域期刊，JCR1区)
    • Jiaxiang Wang, Haote Xu, Xiaolu Chen, Haodi Xu, Yue Huang, Xinghao Ding(丁兴号), Xiaotong Tu. Exploiting point-language models with dual-prompts for 3D anomaly detection. Expert Systems with Applications, 129758, 2025. (人工智能领域期刊，JCR1区)
    • Wei Lin, Changxing Jing, Xinghao Ding*(丁兴号), Huanqiang Zeng. Temporal-invariant video contrastive learning: A novel perspective from brain knowledge. Pattern Recognition, 112256, 2025. (模式识别顶级期刊，JCR1区)
    • Kunze Huang, Luyao Tang, Yuxuan Yuan, Jieyuan Yang, Xiaotong Tu, Yue Huang, Xinghao Ding(丁兴号). Open world out-of-distribution generalization via dream open and sustain close. Knowledge-Based Systems, 114128, 2025. (人工智能领域期刊，JCR1区)
    • Yinhao Liu, Zhenyu Kuang, Hongyang Zhang, Chen Li, Feifei Li, Xinghao Ding*(丁兴号). PRADA: Prompt-guided Representation Alignment and Dynamic Adaption for time series forecasting. Knowledge-Based Systems, 113478, 2025. (人工智能领域期刊，JCR1区)
    • Qingyao Wu, Jiaxin Xie, Zhenqi Fu, Xiaotong Tu, Yue Huang, Xinghao Ding(丁兴号). CE3USOD: Channel-Enhanced, Efficient, and Effective Network for Underwater Salient Object Detection. IEEE Journal of Oceanic Engineering, 2025. (海洋工程领域期刊，JCR1区)
    • Yingying Wang, Hui Zheng, Feifei Li, Yunlong Lin, Linyu Fan, Xuanhua He, Yue Huang(黄悦), Xinghao Ding*(丁兴号). Toward generalizable pansharpening: Conditional flow-based learning guided by implicit high-frequency priors. IEEE Transactions on Geoscience and Remote Sensing, 63, pp.1-17, 2025. (遥感与地球科学领域顶级期刊，JCR1区)
    • Yingying Wang, Yunlong Lin, Xuanhua He, Hui Zheng, Keyu Yan, Linyu Fan, Yue Huang(黄悦), Xinghao Ding*(丁兴号). Learning diffusion high-quality priors for pan-sharpening: A two-stage approach with time-aware adapter fine-tuning. IEEE Transactions on Geoscience and Remote Sensing, 63, pp.1-14, 2025. (遥感与地球科学领域顶级期刊，JCR1区)
    • Hailiang Huang, Jingchao Guo, Huangxing Lin, Yue Huang*(黄悦), Xinghao Ding(丁兴号). Domain adaptive oriented object detection from optical to SAR images. IEEE Transactions on Geoscience and Remote Sensing, 63, 1-14, 2024. (遥感与地球科学领域顶级期刊，JCR1区)
    • Huangxing Lin, Yunlong Lin, Jingyuan Xia, Linyu Fan, Feifei Li, Yingying Wang, Xinghao Ding(丁兴号). Fusion2void: Unsupervised multi-focus image fusion based on image inpainting. IEEE Transactions on Circuits and Systems for Video Technology, 35(4), 3328-3341, 2024. (工程技术和计算机多媒体领域顶级期刊，JCR1区)
    • Haote Xu, Yunlong Zhang, Xiaolu Chen, Changxing Jing, Liyan Sun, Yue Huang(黄悦) and Xinghao Ding*(丁兴号). AFSC: Adaptive Fourier space compression for anomaly detection. IEEE Transactions on Industrial Informatics, vol. 20, no. 11, pp. 12586-12596, 2024. (工业信息与智能制造核心期刊，JCR1区)
    • Huangxing Lin, Yihong Zhuang, Yue Huang(黄悦) and Xinghao Ding*(丁兴号). Unpaired speckle extraction for SAR despeckling. IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-14, 2023. (遥感与地球科学信息处理领域核心期刊，JCR1区)
    • Liyan Sun, Chenxin Li, Xinghao Ding(丁兴号), Yue Huang(黄悦), Zhong Chen, Guisheng Wang, Yizhou Yu and John Paisley. Few-shot medical image segmentation using a global correlation network with discriminative embedding. Computers in biology and medicine, 140: 105067, 2022.(计算机与医学交叉领域期刊, Google citations: 203次)
    • Yue Huang(黄悦), Borong Liang, Weiping Xie, Yinghao Liao(廖英豪), Zhenyu Kuang, Yihong Zhuang and Xinghao Ding*(丁兴号). Dual domain multi-task model for vehicle re-identification. IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 4, pp. 2991-2999, 2020. (智能交通领域顶级期刊，JCR1区)
    • Liyan Sun, Jiexiang Wang, Yue Huang(黄悦) and Xinghao Ding(丁兴号), Hayit Greenspan and John Paisley. An adversarial learning approach to medical image synthesis for lesion detection. IEEE journal of biomedical and health informatics, 24(8): 2303-2314, 2020.(计算机医学领域期刊，JCR1区, Google citations: 162次)
    • Xueyang Fu, Wu Wang, Yue Huang(黄悦), Xinghao Ding*(丁兴号) and John Paisley. Deep multiscale detail networks for multiband spectral image sharpening. IEEE Transactions on Neural Networks and Learning Systems, 32(5): 2090-2104, 2020.(人工智能领域顶级期刊，JCR1区, Google citations: 155次)
    • Xueyang Fu, Borong Liang, Yue Huang(黄悦), Xinghao Ding*(丁兴号) and John Paisley. Lightweight pyramid networks for image deraining. IEEE transactions on neural networks and learning systems, 31(6): 1794-1807, 2019.(人工智能领域顶级期刊，JCR1区, Google citations: 502次)
    • Xueyang Fu, Jiabin Huang, Xinghao Ding*(丁兴号), Yinghao Liao(廖英豪) and John Paisley. Clearing the skies: A deep network architecture for single-image rain removal. IEEE Transactions on Image Processing, 26(6): 2944-2956, 2017.(图像处理国际顶级期刊，JCR1区, Google citations: 1132次)
    • Xueyang Fu, Delu Zeng(曾德炉), Yue Huang(黄悦), Yinghao Liao(廖英豪) and Xinghao Ding*(丁兴号) and John Paisley. A fusion-based enhancing method for weakly illuminated images. Signal processing, 129: 82-96, 2016.(Google citations: 872次)
    • Xueyang Fu, Yinghao Liao(廖英豪), Delu Zeng(曾德炉), Yue Huang(黄悦), Xiao-Ping Zhang and Xinghao Ding*(丁兴号). A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reflectance Estimation, IEEE Transactions on Image Processing, vol. 24, no.12, pp.4965-4977, 2015.(图像处理国际顶级期刊，Google citations: 528次)
    • Xinghao Ding(丁兴号), Liqin Chen, Xianhui Zheng, Yue Huang(黄悦) and Delu Zeng*(曾德炉). Single image rain and snow removal via guided L0 smoothing filter, Multimedia Tools and Applications, pp. 1 - 16, 2015. (Google citations: 119次)
    • Yue Huang(黄悦), Ruiwen Wu, Ye Sun, Wei Wang and Xinghao Ding*(丁兴号). Vehicle logo recognition system based on convolutional networks with a pre-training strategy, IEEE Transactions on Intelligent Transportation Systems (ITS), vol. 16, no.4, pp. 1951 - 1960, 2015.(智能交通领域国际顶级期刊，Google citations: 174次)
    • Yue Huang(黄悦), John Paisley, Qin Lin, Xinghao Ding*(丁兴号), Xueyang Fu and Xiao-Ping Zhang. Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI, IEEE Transactions on Image Processing, vol. 23, no.12, pp.5007-5119, 2014. (图像处理国际顶级期刊，Google citations: 168次)
    • Xinghao Ding(丁兴号), Lihan He and Lawrence Carin. Bayesian Robust Principal Component Analysis, IEEE Transactions on Image Processing, 20(12): 3419-3430, 2011. (图像处理国际顶级期刊，Google citations: 336次)
地址：中国福建省厦门市翔安区厦门大学翔安校区西部片区6号楼211/201
Copyright © 2026 SmartDSP