刘亚奇

2020年9月毕业于中国科学院信息工程研究所信息安全国家重点实验室，网络空间安全专业博士研究生。2020年10月入职北京电子科技学院，任助理研究员，硕士研究生导师。

主要研究方向为信息内容安全、多媒体取证、图像处理、人工智能、模式识别。第一作者发表CCF-A类期刊2篇（信息安全顶刊TIFS、图像处理顶刊TIP），发表SCI期刊和国际会议论文多篇。主持国家自然科学基金青年基金一项。CSIG数字媒体取证与安全专委会、CSIG视觉大数据专委会委员。

邮箱：liuyaqi@besti.edu.cn

研究成果

Liu Yaqi, Xia Chao, Zhu Xiaobin, Xu Shengwei. Two-Stage Copy-Move Forgery Detection with Self Deep Matching and Proposal SuperGlue. IEEE Transactions on Image Processing (TIP), 2022, 31: 541-555. (CCF-A，中科院1区，SCI，IF=10.856，图像处理顶级期刊) - paper：IEEE/arXiv - code: GitHub
Liu Yaqi, Zhu Xiaobin, Zhao Xianfeng, Cao Yun. Adversarial Learning for Constrained Image Splicing Detection and Localization based on Atrous Convolution. IEEE Transactions on Information Forensics and Security (TIFS), 2019, 14(10): 2551-2566. (CCF-A，中科院1区，SCI，IF=7.178，信息安全顶级期刊) - paper：IEEE - code: GitHub
Liu Yaqi, Lv Binbin, Jin Xin, Chen Xiaoyu, Zhang Xiaokun. TBFormer: Two-Branch Transformer for Image Forgery Localization. IEEE Signal Processing Letters (SPL), 2023. (CCF-C，中科院2区，SCI，IF=3.201) - paper：arXiv - code: GitHub
Liu Yaqi, Guan Qingxiao, Zhao Xianfeng. Copy-move forgery detection based on convolutional kernel network. Multimedia Tools and Applications (MTA), 2018, 77: 18269–18293. (CCF-C，中科院3区，SCI，IF=2.757) - paper：Springer
Liu Yaqi, Zhang Xiaoyu, Zhu Xiaobin, et al. ListNet-based object proposals ranking. Neurocomputing, 2017, 267: 182-194. (CCF-C，中科院2区，SCI，IF=5.719) - paper：Elsevier

Liu Yaqi, Xia Chao, Cai Qiang, Jin Xin. Pyramid Copy-move Forgery Detection Using Adversarial Optimized Self Deep Matching Network. IEEE TrustCom 2022, Wuhan, China, 2022. (CCF-C)
Liu Yaqi, Guan Qingxiao, Zhao Xianfeng, Cao Yun. Image Forgery Localization based on Multi-Scale Convolutional Neural Networks. Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec’18), Innsbruck, Austria, 2018, 85-90. (CCF-C) - paper：ACM/arXiv - code: GitHub
Liu Yaqi, Cai Qiang, Zhu Xiaobin, Cao Jian, Li Haisheng. Saliency detection using two-stage scoring. Proceedings of 2015 IEEE International Conference on Image Processing (ICIP’15), Quebec City, QC, Canada, 2015, 4062-4066. (CCF-C) - paper：IEEE