师资队伍

印佳丽

来源:     发布日期:2023-09-29    浏览次数:

印佳丽,女,博士,研究员,福州大学“旗山学者”,福建省高层次人才(C类)。以第一作者或通讯作者在TIFS、ICCV、AAAI、TNNLS、TMMTITS等国内外期刊发表CCF-A/中科院一区论文20余篇,以第一发明人授权美国专利一项。担任IEEE TPAMI、TMM、TNNLS、CVPR、ECCV等多个顶级期刊及会议审稿人,多个国际会议程序委员会委员(TPC Member)。2020年博士学位论文获得中国台湾影像处理与图形识别学会、资讯学会、民生电子学会三大学会最佳博士学位论文奖。目前以福州大学“旗山学者”(海外计划)任职于计算机与大数据学院,2021年创建附属于网络系统信息安全福建省高校重点实验室(团队主页:https://ccds.fzu.edu.cn/nsis/)下的VisionFlow研究小组(小组网站: https://visionflow.github.io/)。主要研究方向为计算摄影学(Computational photography)、深度特征融合(Feature aggregation)、神经网络模型可解释性(Interpretability of neural networks)、对抗训练(Adversarial training)。


科研项目:

[1] 国家自然科学基金联合基金重点项目,人工智能算法脆弱性检测与安全增强技术研究(U2441239),2025/01-2028/12,在研,单位主持(112万元)。

[2] 国家自然科学基金青年项目,复杂场景下深度高动态范围成像技术研究(62202104),2023/01-2025/12,30万元,在研,主持。

[3] 福州大学旗山学者科研项目,GXRC-21028,2021/03-2025/02,30万元,在研,主持。

[4] 福建省自然科学基金青年项目,智能监控系统中高动态成像关键性技术研究,2021/11-2025/11,结题,主持。

近年发表的主要论文(#指导研究生,*通讯):

[1] Chaoyong Yang#Jia-Li Yin*; Bin Chen; Zhaozhe Hu; Xiaolei Liu; W Lin; KOEnsAttack: Towards Efficient Data-Free Black-Box Adversarial Attacks via Knowledge-Orthogonalized Substitute Ensembles, ICCV 2025. [CCF-A]

[2]Yiqiang Guo#;  Lei Zhong#;  Bin Chen#; Jia-Li Yin*; Xiaolei Liu; Shouling Ji; Focus on Generalization: Improving Adversarial Transferability via Bi-Level Bias Mitigation, ACM MM 2025. [CCF-A]

[3] Zhou Tan#, De Li, Yirui Huang, Jia-Li Yin*;FeatShield: Isolating Malicious Feature Extractors for Backdoor-Robust Federated Learning, ACM MM 2025. [CCF-A]

[4] Shuman Zhuang#Zhihao Wu,Yuhong Chen, Zihan Fang, Jia-Li Yin*; Strategy-Architecture Synergy: A Multi-View Graph Contrastive Paradigm for Consistent Representations, IJCAI 2025. [CCF-A]

[5] 姜毅, 杨勇, 印佳丽, 刘小垒, 李吉亮, 王伟, 田有亮, 巫英才, 纪守领, 大语言模型安全与隐私风险综述, 计算机研究与发展, 2025. [CCF-A]

[6] Jia-Li Yin; Weijian Wang#; W. Lin; Yanhua Liu et al; Adversarial-Inspired Backdoor Defense via Bridging Adversarial and Backdoor Attacks, AAAI 2025. [CCF-A]

[7] Jia-Li Yin; Menghao Chen#; Jin Han; Bo-Hao Chen et al.; Adversarial Example Quality Assessment: A large-scale Dataset and Strong Baseline, ACM MM 2024. [CCF-A]

[8] Zhaozhe Hu#; Jia-Li Yin*; Bin Chen; Luojun Lin; Bo-Hao Chen; Ximeng Liu; MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization; ICASSP 2024. [CCF-B]

[9] 印佳丽;韩津;陈斌等;基于一致性感知的高动态范围成像,计算机学报,2024. [CCF-A]

[10] Bin Chen#; Jia-Li Yin*; Shukai Chen; Bo-Hao Chen et al.; An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability, ICCV 2023. [CCF-A]

[11] Luojun Lin, Zhifeng Shen, Jia-Li Yin, Qipeng Liu, yuanlong yu, Weijie Chen; MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction, ACM MM 2023. [CCF-A]

[12] Jia-Li Yin; Bin Chen; Wanqing Zhu; Bo-Hao Chen et al.; Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness, IEEE Transactions on Information Forensics and Security (TIFS), 2023. [CCF-A, 一区, IF = 7.231]

[13] Wanqing Zhu#, Jia-Li Yin*, Bo-Hao Chen, et al.; SRoUDA: Meta Self-training for Robust Unsupervised Domain Adaptation; AAAI 2023. [CCF-A]

[14]Jian-Nan Su; Min Gan; Guang-Yong Chen; Jia-Li Yin; C. L. Philip Chen; Global Learnable Attention for Single Image Super-Resolution, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. [CCF-A, 一区, IF = 24.314]

[15] 李应, 印佳丽. 基于多随机森林的低信噪比声音事件检测. 电子学报, 046(011):2705-2713. (CCF A类中文期刊)

[16] Jia-Li Yin; Bo-Hao Chen ; Yan-Tsung Peng ; Hau Hwang; Automatic Intermediate Generation with Deep Reinforcement Learning for Robust Two-exposure Image Fusion, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022. [CCF-B, 一区,IF = 14.255]

[17] Jia-Li Yin; Bo-Hao Chen ; Yan-Tsung Peng ; Two Exposure Fusion Using Prior-Aware Generative Adversarial Network, IEEE Transactions on Multimedia (TMM), 2022. [CCF-B, 一区,IF = 8.182]

[18] B. H. Chen, S. Ye, Jia-Li Yin*, H. Y. Cheng and D. Chen, “Deep Trident Decomposition Network for Single License Plate Image Glare Removal,” IEEE Transactions on Intelligent Transportation Systems (TITS), 2021. [CCF-B, 一区,IF = 9.551]

[19] Jia-Li Yin, B. Chen, Y. Peng, and C. Tsai, Deep Battery Saver: End-to-end Learning for Power Constrained Contrast Enhancement, IEEE Transactions on Multimedia (TMM), 2021, 23: 1049-105 [CCF-B, 一区,IF = 8.182]




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