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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(团队九游会登录入口首页主页: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)。

工作经历:

2021年至今,神经网络对抗鲁棒性

2019年7月至今,高动态范围成像及oled图像省电研究,合作机构:美国高通科技(qualcomm technologies, inc., san diego, usa)

2016年9月-2020年6月,图像重建及修复,合作机构:台湾元智大学多媒体实验室(bigmms lab)

科研项目:

[1] 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,2023/01-2025/12,30万元,在研,主持。

[2] 福州大学旗山学者科研项目,gxrc-21028,基于深度学习的车牌图像信息修复,2021/03-2025/02,30万元,在研,主持。

[3] 福建省中青年教师教育科研项目,车牌识别系统中图像信息的修复及增强研究,2020/12-2023/05,在研,主持。

[4] 福建省科技厅青年项目,智能监控系统中高动态成像关键性技术研究,2021/11-2025/11,在研,主持。

近年发表的主要论文:

[1]  jia-li yin; menghao chen; jin han; bo-hao chen; ximeng liu; adversarial example quality assessment: a large-scale dataset and strong baseline, acm mm 2024. [ccf-a]

[2] 印佳丽;韩津;陈斌;刘西蒙;基于一致性感知的高动态范围成像,计算机学报,2024. [ccf-a]

[3] bin chen (2021级研究生); jia-li yin*; shukai chen; bo-hao chen; ximeng liu; an adaptive model ensemble adversarial attack for boosting adversarial transferability, iccv 2023. [ccf-a]

[4] 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]

[5] jia-li yin; bin chen; wanqing zhu; bo-hao chen; ximeng liu; 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]

[6] wanqing zhu (2021级研究生), jia-li yin*, bo-hao chen, ximeng liu; srouda: meta self-training for robust unsupervised domain adaptation; aaai 2023. [ccf-a]

[7]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]

[8] 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)

[9] 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]

[10] 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]

[11] 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]

[12] 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]

[13] jia-li yin, yi-chi huang, bo-hao chen, shao-zhen ye: color transferred convolutional neural networks for image dehazing. ieee transactions on circuits system and video technology (tcsvt) 30(11): 3957-3967 (2020)

[14] jia-li yin; bo-hao chen; ying li; highly accurate image reconstruction for multimodal noise suppression using semisuper-vised learning on big data, ieee transactions on multimedia (tmm), 2018.11, 20(11): 3045-3056.[ccf-b, 一区,if = 8.182]




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