一、个人基本信息

牛亚坤，男，副教授，工学博士，硕士生导师，中国图形图像学会交通视频专委会委员。主要从事人工智能安全、多媒体取证方面的研究。主持国家自然科学基金项目1项、河南省重点研发与推广专项（科技攻关）项目1项、河南省高等学校重点科研项目1项、横向课题2项，参与国家自然科学基金联合项目2项、国家重点研发计划2项、面上项目1项。在ICCV、IEEE TIFS等CCF A类期刊或会议发表学术论文20余篇。担任IEEE TIFS、IEEE TCSVT、Neural Networks、Neurocomputing等国际期刊审稿人。

二、研究方向

人工智能安全、多媒体内容安全

欢迎有志于从事人工智能、计算机视觉、机器学习的研究生加入团队学习，团队可提供高水平学术指导、充足的计算资源和科研经费、融洽的科研氛围。

三、论文、著作

[1] Yingjian Chen, Lei zhang, Yakun Niu*. ForgeLens: Data-Efficient Forgery Focus for Generalizable Forgery Image Detection [C]. International Conference on Computer Vision (ICCV), 2025. (计算机视觉顶级会议，CCF-A)

[2] Yakun Niu, Benedetta Tondi, Rongrong Ni, Yao Zhao, Mauro Barni. Image Splicing Detection, Localization and Attribution via JPEG Primary Quantization Matrix Estimation and Clustering. IEEE Transactions on Information Forensics and Security, 2021,16:5397-5412.(SCI，中科院一区TOP，信息安全顶级期刊，CCF-A)

[3] Yakun Niu, Xiaolong Li, Yao Zhao, Rongrong, Ni. Detection of double JPEG compression with the same quantization matrix via convergence analysis[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2022,32(5):3279-3290. (SCI，中科院一区，TOP 期刊)

[4] Yakun Niu, Xuelin Lin. Phase-Aware and Edge Prediction Error Fusion for Face Anti-Spoofing[J] Engineering Applications of Artificial Intelligence, 2025 (SCI，中科院一区TOP 期刊)

[5] Yakun Niu, Xinjie Wu, Cheng Liu. Recursive wavelet transform network for robust copy-move forgery detection[J]. Neurocomputing. (2025): 130373. (SCI，中科院二区)

[6] Yakun. Niu, Lei. Tan, Lei. Zhang, et al. Attention-Based Dual-Domain Fusion Network for Median Filtering Forensics[J]. IEEE Signal Processing Letters, 2024, 31:1860-1864. ( SCI，中科院二区)

[7] Yakun Niu, Xiangru Cheng, Hongjian Yin. Median filtering forensics using spatial and frequency domain residuals[J]. The Journal of Supercomputing, 2025, 81(4): 1-20. ( SCI，中科院三区)

[8] Yakun Niu, Xiangru Cheng, Yonggan Li. Median filtering detection based on multiple residuals in spatial and frequency domains, Signal, Image and Video Processing, 19.6 (2025): 477. ( SCI，中科院四区)

[9] Yakun Niu, Benedetta Tondi, Yao Zhao, Mauro Barni. Primary quantization matrix estimation of double compressed JPEG images via CNN[J]. IEEE Signal Processing Letters, 2020, 27:191-195.( SCI，中科院二区)

[10] Yakun Niu, Xiaolong Li, Yao Zhao, Rongrong Ni. Primary quality factor estimation of resized double compressed JPEG images[C]. IEEE International Conference on Image Processing, 2020:583-587.(CCF-C，EI会议)

[11] Yakun Niu, Xiaolong Li, Yao Zhao, Rongrong Ni. An enhanced approach for detecting double JPEG compression with the same quantization matrix[J]. Signal Processing:Image Communication, 2019, 76:89-96. ( SCI，中科院二区)

[12] Yakun Niu, Yao Zhao, Rongrong Ni. Robust median filtering detection based on local difference descriptor[J]. Signal Processing:Image Communication, 2017, 53:65-72. ( SCI，中科院二区)

[13] Yakun Niu, Xiaolong Li, Yao Zhao, Rongrong Ni. A mathematical analysis of quantized DCT coefficients and its applications to image forensics[C]. National Information Hiding Workshop, 2018.

[14] Xiaoyu Zhao, Yakun Niu, Rongrong Ni, Yao Zhao. Defocused image splicing localization by distinguishing multiple cues between raw naturally blur and artificial blur[C]. International Workshop on Digital-forensics and Watermarking, 2020:153-167.(EI会议)

[15] X. Chai, Y. Tang, Z. Gan, Yakun. Niu, et al. Forgery detection using polynomial fitting in recompressed JPEG images[J]. Signal, Image and Video Processing, 2024, 18(3): 2439-2451. ( SCI，中科院四区)

[16] Lei Zhang, Yixin. Jiang, Hongjian. Yin, Yakun Niu, et, al. Blockchain-assisted secure multi-party computation with verification and auditing[C]//2024 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA). IEEE, 2024: 2076-2081. (EI会议)

[17] Lei Zhang, Xuguang Chen, Yakun Niu*, et al. Robust primary quantization step estimation on resized and double JPEG compressed images[J]. Multimedia Tools and Applications, 84, 11097–11118,2025. (EI 期刊).

[18] Yakun Niu, Xiangru Chen. JPEG-scaling Operation Chain Forensics: JPEG Compression Detection and Scaling Factor Estimation[J]. Journal of Visual Communication and Image Representation. Minor.（SCI，中科院三区）

[19] 牛亚坤, 赵耀, 李晓龙.JPEG图像被动取证研究进展综述[J]. 信号处理, 2022. (中文核心)

[20] 牛亚坤，张磊，陈沛，等. 基于多尺度注意力的图像伪造定位网络[J].河大学报.

四、科研项目

[1] 国家自然科学基金青年项目，62202141，面向JPEG图像的篡改取证关键技术研究，2023-01-01至2025-12-31，在研，主持。

[2] 河南省科技攻关项目，232102210127，面向数字图像操作的取证技术研究，2023-01-01至2024-06-23，结题，主持。

[3] 河南省高等学校重点科研项目,26A413001,生成式伪造图像检测与溯源关键技术研究，2026-01-01至2027-12-31，在研，主持。

[4] 国家自然科学基金联合基金项目，U1936212，基于深度学习的数字图像溯源分析与取证，2020-01-01至2023-12-31，结题，参与。

[5] 国家自然科学基金联合基金项目，U1736213，适应多种信道的安全隐写：基础理论和关键技术研究，2018-01-01至2021-12-31，结题，参与。

[6] 国家重点研发计划，2020AAA0140003，网络多媒体鉴伪关键技术研究，2020-12-31至2023-12-31,结题，参与。

[7] 国家自然科学基金面上项目，61672090，视觉媒体篡改的取证和关联分析关键技术研究，2017-01-01至2020-12-31，结题，参与。

五、专利

[1] 牛亚坤,等.基于冻结ViT特征融合网络的AI生成图像检测方法. CN202410724476.3

[2] 牛亚坤,等.基于双流特征提取多尺度图像篡改检测与定位方法. CN202410076328.5.

[3] 牛亚坤,等.基于RGB通道信息融合的深度学习图像操作链取证方法.CN202311583587.9.

六、联系方式

E-mail：ykniu@henu.edu.cn