李嘉(北京師範大學講師)

教育背景

機器學習與圖像處理

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, 2020.
2.Jia Li, Cong Fang, and Zhouchen Lin. Lifted proximal operator machines. AAAI Conference on Artificial Intelligence, 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, Vol. 127, No. 2, pp. 181–206, 2019.
4.Jia Li, Chenyan Bai, Zhouchen Lin, Jian Yu. Automatic design of high-sensitivity color filter arrays with panchromatic pixels. IEEE Transactions on Image Processing, 2017, 26(2): 870-883.
5.Jia Li, Chenyan Bai, Zhouchen Lin, Jian Yu. Optimized color filter arrays for sparse representation based demosaicking. IEEE Transactions on Image Processing, 2017, 26(5): 2381-2393.
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, 2016, 25(4): 1793-1807.
7.Chenyan Bai, Jia Li, Zhouchen Lin, Jian Yu, and Yen-Wei Chen. Penrose demosaicking. IEEE Transactions on Image Processing, Vol. 24, No. 5, pp. 1672-1684, 2015.