"Wake up everyday with a feeling of passion for the difference technology will make in people's lives."

-- Bill Gates

"The future of computing is the computer that talks, listens, sees and learns." - Bill Gates

　

Tong Lin, Ph.D.  林通 　 Associate Professor Key Laboratory of Machine Perception (Ministry of Education), School of EECS, Peking University, Beijing 100871, China Phone: 86-10-6275-5097 Email: lintong [at] cis.pku.edu.cn

Biography:

• Tong Lin received the PhD degree in Applied Mathematics from Peking University in 2001. In 1999 and 2000, he was a visiting student at the Media Computing Group, Microsoft Research Asia. In 2002, he joined the Key Laboratory on Machine Perception at Peking University, China, where he is currently an associate professor. From 2004 to 2005, he was an exchange scholar at Seoul National University, Korea. His research interests include computer vision, pattern recognition, and machine learning.

Selected Publications:

• T. Lin and H. Zha, "Riemannian Manifold Learning," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 30, no. 5, pp. 796-809, May 2008.

• T. Lin, P. Hao, and S. Xu, "Matrix Factorizations for Reversible Integer Implementation of Orthonormal M-Band Wavelet Transforms," Signal Processing, Elsevier, vol. 86, no. 8, pp. 2085-2093, Aug. 2006.

• T. Lin and P. Hao, "Compound Image Compression for Real-Time Computer Screen Image Transmission," IEEE Trans. Image Processing, vol. 14, no. 8, pp. 993-1005, Aug. 2005.

See here for all publications.

Prospective Students:

• I am interested in students graduated from pure mathematics, computational mathematics, applied mathematics, and probability theory and statistics. The students should have been trained with strong programming skills in C++ and Matlab. 欢迎数学各专业（基础数学、计算数学、应用数学、概率论与数理统计）的本科生报考本专业硕士生。希望同时具有良好的编程能力和技巧(C++&Matlab)。请email联系。