李嘉

基本信息

李嘉
  •   姓名: 李嘉
  •   职称: 讲师
  •   邮箱: jiali@bnu.edu.cn
 

教育背景

  • 2003-2007  郑州大学数学与统计学院信息与计算科学专业学士
  • 2009-2012  郑州大学信息工程学院计算机软件与理论专业硕士
  • 2012-2017  北京交通大学计算机与信息技术学院计算机科学与技术专业博士

工作经历

  • 2017-2018  北京三星研究院
  • 2018-2020  北京大学博雅博士后

研究领域

  • 机器学习
  • 计算机视觉
  • 计算摄像和图像处理

学术成果

  • 1. Jia Li, Mingqing Xiao, Cong Fang, Yue Dai, Chao Xu, and Zhouchen Lin. Training Neural Networks by Lifted Proximal Operator Machines. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Minor Revision.
  • 2. Jia Li, Cong Fang, and Zhouchen Lin. Lifted Proximal Operator Machines. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pp. 4181-4188, 2019.
  • 3. Bo Liu, Liping Jing, Jia Li, Jian Yu, Alex Gittens, and Michael W. Mahoney. Group Collaborative Representation for Image Set Classification. International Journal of Computer Vision (IJCV), Vol. 127, No. 2, pp. 181–206, 2019.
  • 4. Jia Li, Chenyan Bai, Zhouchen Lin, and Jian Yu. Optimized Color Filter Arrays for Sparse Representation Based Demosaicking. IEEE Transactions on Image Processing (TIP), Vol. 26, No. 5, pp. 2381-2393, 2017.
  • 5. Jia Li, Chenyan Bai, Zhouchen Lin, and Jian Yu. Automatic Design of High-Sensitivity Color Filter Arrays with Panchromatic Pixels. IEEE Transactions on Image Processing (TIP), Vol. 26, No. 2, pp. 870-883, 2017.
  • 6. Chenyan Bai, Jia Li, Zhouchen Lin, and Jian Yu. Automatic Design of Color Filter Arrays in the Frequency Domain. IEEE Transactions on Image Processing (TIP), Vol. 25, No.4, pp. 1793-1807, 2016.
  • 7. Chenyan Bai, Jia Li, Zhouchen Lin, Jian Yu, and Yen-Wei Chen. Penrose Demosaicking. IEEE Transactions on Image Processing (TIP), Vol. 24, No. 5, pp. 1672-1684, 2015.

奖励与荣誉

  • 2019年 北京图象图形学学会优秀博士论文奖
  • 2017年 北京交通大学优秀博士论文奖

社会活动

  • 1. 中国图象图形学学会机器视觉专委会委员。
  • 2. 期刊审稿人:International Journal of Computer Vision, IEEE Transactions on Image Processing, IEEE Transactions on Computational Imaging, IEEE Transactions on Neural Networks and Learning Systems等。
  • 3. 会议审稿人:NeurIPS 2018, ICML 2019, NeurIPS 2019, AAAI 2020, NeurIPS 2020, AAAI 2021, ICLR 2021等。