丛晓峰，内蒙古通辽人，2026年9月入职合肥工业大学，担任人工智能创新学院特任副教授，主要从事可信人工智能研究，包括数据层面与模型层面，如图像质量增强、对抗攻击与防御、可信智能体设计。本科与硕士均就读于安徽大学电气工程与自动化学院，期间导师为章军教授。博士毕业于东南大学网络空间安全学院，导师为桂杰教授（国家级青年人才）。发表CCF A类会议（12篇）、CCF A类期刊与IEEE汇刊（共15篇）、中科院一区期刊等30余篇，第一与通讯作者成果包括CVPR、NeurIPS、AAAI、ACM MM、T-PAMI、T-MM、T-CSVT、ACM CSUR等。此外，受到机械工业出版社编辑约稿，第一作者出版图像处理书籍《PyTorch神经网络实战—移动端图像处理》首印（2000 册）售罄，出版社进行了 4 次重印。
科研交流：欢迎工大的本科生联系我所在的科研团队，一起学习一些前沿的人工智能知识，欢迎交流（cxf_svip@163.com）
图书出版：
[1] 丛晓峰，彭程威，章军.《PyTorch神经网络实战—移动端图像处理》. 机械工业出版社. 2022. 39万字.（约稿，第一作者，已经完成第4次印刷）
代表性学术论文：
[1] Xiaofeng Cong, Yu-Xin Zhang, Hao Shen, Yeying Jin, Junming Hou, Jie Gui. SDUIE: Semi-Supervised Diffusion for Underwater Image Enhancement with Quant-Text Dual Control. IEEE Conference on Computer Vision and Pattern Recognition. 2026: 37423-37433.（CCF A类会议论文CVPR）
[2] Xiaofeng Cong, Xuhao Guo, Kang Zheng, Yu-Xin Zhang, Jie Gui. Beyond Unidirectional: Unsupervised Trajectory Learning for Omnidirectional Controllable Underwater Image Enhancement. Advances in Neural Information Processing Systems. 2026. Online Accepted.（CCF A类会议论文NeurIPS）
[3] Xiaofeng Cong, Jie Gui, Jing Zhang, Junming Hou, Hao Shen. A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint. IEEE Conference on Computer Vision and Pattern Recognition. 2024. 2631--2640. （CCF A类会议论文CVPR）
[4] Xiaofeng Cong, Jie Gui, Junming Hou. Underwater Organism Color Fine-tuning via Decomposition and Guidance. In AAAI Conference on Artificial Intelligence. 2024, 38(2): 1389-1398.（CCF A类会议论文AAAI）
[5] Xiaofeng Cong, Jie Gui, Kai-Chao Miao, Jun Zhang, Bing Wang, Peng Chen. Discrete Haze Level Dehazing Network. ACM International Conference on Multimedia. 2020: 1828-1836. （CCF A类会议论文ACM MM）
[6] Jie Gui*, Xiaofeng Cong*, Yu-Xin Zhang, Junming Hou, Dacheng Tao. Brightness-aware Synthetic-to-Real Learning for Nighttime Hazy Image Enhancement. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2026. vol. 48, no. 7, pp. 7640-7655. （CCF A类期刊T-PAMI，共同通讯作者，IF=20.4）
[7] Jie Gui, Xiaofeng Cong*, Lei He; Yuan Yan Tang; James Tin-Yau Kwok. Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding. IEEE Transactions on Multimedia. vol 26, 4819-4830. 2024.（独立通讯作者，IF=9.7，IEEE汇刊，中科院1区）
[8] Jie Gui, Xiaofeng Cong*, Chengwei Peng, Yuan Yan Tang, James Tin-Yau Kwok. Fooling the Image Dehazing Models by First Order Gradient. IEEE Transactions on Circuits and Systems for Video Technology. vol 34, 6265-6278. 2024. （独立通讯作者，IF=11.1，IEEE汇刊，中科院1区期刊）
[9] Jie Gui, Xiaofeng Cong*, Yuan Cao*, Wenqi Ren, Jun Zhang, Jing Zhang, Jiuxin Cao, Dacheng Tao. A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning. In ACM Computing Surveys. 2023. 55(13s): 1-37. （共同通讯作者，IF=23.8，中科院1区期刊）
[10] Yu Zhao#, Xiaofeng Cong#, Chuanrui Hu, Lu Dong, Jie Gui, James Tin-Yau Kwok. Learning from the Abyss: Self-Adaptive Distillation for Enhancing Underwater Images with Complex Degradations[J]. IEEE Transactions on Multimedia, 2026. 1-12. （CCF A类期刊，共同第一作者）
[11] Xiaofeng Cong#, Yu Zhao#, Jie Gui, Junming Hou, Dacheng Tao. A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning. IEEE Transactions on Emerging Topics in Computational Intelligence. vol. 10, no. 4, pp. 2783-2801. 2026. （IEEE汇刊）
[12] Kang Zheng, Xuhao Guo, Xiaofeng Cong*, Jie Gui*. MA-UND: Multi-Perspective Alignment for Unsupervised Nighttime Image Dehazing. ACM International Conference on Multimedia. 2026. （共同通讯作者，CCF A类会议论文）
其它学术论文：
[1] Jiahan Huang, Ran Ran, Junming Hou, Zihao Chen, Xiaofeng Cong, Jun ling Li, and Liang-Jian Deng, “Spatial-spectral residuals informed diffusion neural operator for pan-sharpening,” in Proceedings of the Conference on Computer Vision and Pattern Recognition, 2026, pp. 23 642–23 651. （CCF A， CVPR）
[2] Junming Hou, Ran Ran, Sixing Chen, Zihao Chen, Xiaofeng Cong, Junling Li, and Liang-Jian Deng, “Nodiff: Neural operator diffusion for multispectral image fusion,” in Proceedings of the AAAI Conference on Artificial Intelligence, vol. 40, 2026, pp. 4753–4761. （CCF A，AAAI）
[3] Wei Zhang, Yeying Jin, Xin Li, Yan Zhang, Xiaofeng Cong, Cong Wang, Fengcai Qiao, and Zhichao Lian, “Unifit: Towards universal virtual try-on with mllm-guided semantic alignment,” in Proceedings of the AAAI Conference on Artificial Intelligence, vol. 40, 2026, pp. 12 816–824. （CCF A，AAAI）
[4] Xinyang Liu, Junming Hou, Chenxu Wu, Xiaofeng Cong, Shangqi Deng, Junling Li, Liang-Jian Deng, Bo Liu, et al., “Physics-informed neural operator for pansharpening,” Advances in Neural Information Processing Systems, vol. 38, pp. 95 622–95 652, 2026. （CCF A，NeurIPS）
[5] Junming Hou, Xiaoyu Chen, Ran Ran, Xiaofeng Cong, Xinyang Liu, Jian Wei You, and Liang-Jian Deng, “Binarized neural network for multi-spectral image fusion,” in IEEE Conference on Computer Vision and Pattern Recognition, IEEE, 2025, pp. 2236–2245. （CCF A，CVPR）
[6] Junming Hou, Zihan Cao, Naishan Zheng, Xuan Li, Xiaoyu Chen, Xinyang Liu, Xiaofeng Cong, Danfeng Hong, and Man Zhou, “Linearly-evolved transformer for pan-sharpening,” in Proceedings of the 32nd ACM international conference on multimedia, 2024, pp. 1486–1494. （CCF A，ACM MM）
[7] Yu-Xin Zhang, Xiaofeng Cong, Minjing Dong, Zhipeng Gui, Jie Gui, Yuan Yan Tang, and James Tin-Yau Kwok, “Panda: Diffusion-guided purification and adaptation for robust point cloud classification against adversarial attack,” IEEE Transactions on Information Forensics and Security, 2026. （CCF A，T-IFS）
[8] Jie Gui, Yu-Xin Zhang, Xiaofeng Cong, Baosheng Yu, Zhipeng Gui, Yuan Yan Tang, and James Tin-Yau Kwok, “Axial-view-oriented contrastive adversarial training for robust point cloud recognition,” IEEE Transactions on Information Forensics and Security, 2026. （CCF A，T-IFS）
[9] Haoran Wei, Qingbo Wu, Chenhao Wu, Xiaofeng Cong, Mingzhou He, King Ngi Ngan, Hongliang Li, and Fanman Meng, “Knowledge guided conditional diffusion with dual-contrastive regularization for real-world image dehazing,” IEEE Transactions on Circuits and Systems for Video Technology, 2026. （IEEE汇刊，中科院一区）
[10] Hao Shen, Xiaofeng Cong, Henghui Ding, Yulun Zhang, and Xudong Jiang, “Efficient image dehazing with synergic expert modulation,” Visual Intelligence, vol. 4, no. 1, p. 5, 2026.（科协T1）
[11] Yu-Xin Zhang, Jie Gui, Baosheng Yu, Xiaofeng Cong, Xin Gong, Wenbing Tao, and Dacheng Tao, “Deep learning-based point cloud registration: A comprehensive survey and taxonomy,” International Journal of Computer Vision, vol. 134, no. 4, p. 168, 2026. （CCF A，IJCV）
[12] Yuan Zhou, Wenyang Zhou, Xuanhua He, Xiaoran Shi, Xiaofeng Cong, Xiaopeng Han, Man Zhou, and Danfeng Hong, “High-order omni-attention paradigm for remote sensing image fusion,” IEEE Transactions on Geoscience and Remote Sensing, 2026. （IEEE汇刊，中科院一区）
[13] Yu-Xin Zhang, Jie Gui, Minjing Dong, Xiaofeng Cong, Yu Cao, Xin Gong, Yuan Yan Tang, and James Tin-Yau Kwok, “Divide and conquer: Frequency-aware contrastive adversarial training for robust point cloud classification,” IEEE Transactions on Information Forensics and Security, vol. 20, pp. 7709–7723, 2025. （CCF A，T-IFS）
[14] Siyu Zhai, Zhibo He, Xiaofeng Cong, Junming Hou, Jie Gui, Jian Wei You, Xin Gong, James Tin-Yau Kwok, and Yuan Yan Tang, “Unrevealed threats: Adversarial robustness analysis of underwater image enhancement models,” IEEE Transactions on Multimedia, 2025. （IEEE汇刊，中科院一区）
[15] Chentong Huang, Junming Hou, Chenxu Wu, Xiaofeng Cong, Man Zhou, Junling Li, and Danfeng Hong, “A general cooperative optimization driven high-frequency enhancement framework for multispectral image fusion,” IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1–14, 2025. （IEEE汇刊，中科院一区）
[16] Junming Hou, Xinyang Liu, Chenxu Wu, Xiaofeng Cong, Chentong Huang, Liang-Jian Deng, and Jian Wei You, “Bidomain uncertainty gated recursive network for pan-sharpening,” Information Fusion, vol. 118, p. 102 938, 2025. （IF=17.4，中科院一区）
[17] Hao Shen, Henghui Ding, Yulun Zhang, Xiaofeng Cong, Zhong-Qiu Zhao, and Xudong Jiang, “Spatial-frequency adaptive remote sensing image dehazing with mixture of experts,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1–14, 2024. （IEEE汇刊，中科院一区）
[18] Xinyang Liu, Junming Hou, Xiaofeng Cong, Hao Shen, Zhuochen Lou, Liang-Jian Deng, and Jian Wei You, “Rethinking pan-sharpening via spectral-band modulation,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1–16, 2023. （IEEE汇刊，中科院一区）
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