基本信息
职称 讲师
职务
主讲课程
研究方向 计算机视觉，深度学习，机器学习
办公室 数计学院2#401
电子邮件
联系电话

个人简介
印佳丽，女，博士，讲师。福州大学“旗山****”（海外计划），IEEE/CCF会员。以第一作者在IEEE Transactions on Multimedia （TMM）、IEEE Transactions on Circuits and Systems for Video Technology （TCSVT）、IEEE Transactions on Intelligent Transportation Systems（TITS）等国内外期刊发表SCI/EI论文20余篇，担任IEEE Transactions on Cybernetics（T-Cyber）、IEEE TCSVT等多个期刊审稿人，多个国际会议Technical Program Committee member。研究方向包括：计算机视觉、深度学习、机器学习。
个人主页：https://lily001ying.github.io/
科研及项目经历
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)
2018年9月-2019年9月，高速公路自动收费系统（ETC）误触发侦测，合作机构：台湾远东集团
2016年9月-2017年6月，智能驾驶辅助系统研发，合作机构：台湾元智大学大数据与数字融合创新中心
代表性论文
（所有已发表论文代码已全部开源，请参考https://lily001ying.github.io/）
期刊论文：
[1] J. L. 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). [In press, 中科院SCI一区, IF = 6.051]
[2] J. L. Yin, B. -H. Chen and K. -H. R. Lai, "Driver Danger-Level Monitoring System Using Multi-Sourced Big Driving Data," IEEE Transactions on Intelligent Transportation Systems (TITS), vol. 21, no. 12, pp. 5271-5282, Dec. 2020. [中科院SCI一区, IF = 6.319]
[3] J. L. Yin, Y. -C. Huang, B. -H. Chen and S. -Z. Ye, "Color Transferred Convolutional Neural Networks for Image Dehazing," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 30, no. 11, pp. 3957-3967, Nov. 2020. [中科院SCI二区, IF = 4.133]
[4] J. L. Yin, B. Chen, E. Lai, and L. Shi, ``Power-constrained Image Contrast Enhancement through Sparse Representation by Joint Mixed-norm Regularization,'' IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 30, no. 8, pp. 2477-2488, Aug. 2020. [中科院SCI二区, IF = 4.133]
[5] J. L. Yin and B. Chen, ``An Advanced Driver Risk Measurement System for Usage-Based Insurance on Big Driving Data,'' IEEE Transactions on Intelligent Vehicles (TIV), vol. 3, no. 4, pp. 585--594, Dec. 2018. [2016年新创期刊]
[6] J. L. Yin, B. Chen, and Y. Li, ``Highly Accurate Image Reconstruction for Multimodal Noise Suppression Using Semisupervised Learning on Big Data,'' IEEE Transactions on Multimedia (TMM), vol. 20, no. 11, pp. 3045--3056, Nov. 2018. [中科院SCI一区, IF = 6.051]
[7] J. L. Yin, B. Chen, K. Lai, and Y. Li, ``Automatic Dangerous Driving Intensity Analysis for Advanced Driver Assistance Systems From Multimodal Driving Signals,'' IEEE Sensors Journal, vol. 18, no. 12, pp. 4785--4794, Jun. 2018. [中科院SCI三区, IF = 3.076]
会议论文：
[1] S. Ye, J. L. Yin, B. Chen, D. Chen, and Y. Wu, ``Single Image Glare Removal using Deep Convolutional Networks,'' IEEE International Conference on Image Processing (ICIP), United Arab Emirates, Oct. 2020. [CCF C类会议]
[2] J. L. Yin, B. Chen, Y. Peng, and CC. Tsai, ``Deep Prior Guided Network for High-quality Image Fusion,'' IEEE International Conference on Multimedia and Expo (ICME), London, UK, July. 2020. [CCF B类会议]
[3] J. L. Yin, B. Chen, Y. Peng, and Y. Lin, ``Color Shifting-Aware Image Dehazing,'' IEEE International Symposium on Multimedia (ISM), San Diego, USA, pp.128-1283 Dec. 2019. [EI 会议，Acceptance rate = 22.22%]
[4] J. L. Yin, T. Peng, J. Kuan and B. Chen, ``Towards Perspective-Free Pavement Distress Detection via Deep Learning,'' IEEE Global Conference on Consumer Electronics (GCCE), Osaka, Japan, Oct. pp.661-662, 2019. [EI 会议，Acceptance rate = 22.22%]
[5] L. Huang, J. L. Yin, B. Chen and S. Ye, ``Towards Unsupervised Single Image Dehazing With Deep Learning,'' IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, pp. 2741--2745, Sept. 2019. [CCF C类会议]
[6] B. Chen, J. L. Yin, and Y. Li, ``Image Noise Removing Using Semi-supervised Learning on Big Image Data,'' IEEE International Conference on Multimedia Big Data (BigMM), Laguna Hills, California, USA, pp. 338--345, Apr. 2017. [EI 会议，Acceptance rate = 23.9%]
专利：
J. L. Yin, B. Chen, E. Lai, and L. Shi, Method, ``Image Processing Device, and Display System for Power-Constrained Image Enhancement,'' U.S. Patent, Grant No. US**B2, Sept. 2019.
获得奖励
[1] 2020中国台湾民生电子学会(TACE)最优博士论文奖
[2] 2020中国台湾影像学会IPPR最佳博士论文奖
[3] 2019中国台湾创新博览竞赛金奖
招生信息
招收硕士生以及有保研资格的本科生
希望你有强烈的好奇心和探索精神，欢迎邮件与我联络（jlyin@fzu.edu.cn）