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

Email: lintong [at] pku [dot] edu [dot] cn


·        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 of 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. From 2007 to 2008, he was an exchange scholar at UCSD Moores Cancer Center, CA, USA.  His recent research interests are machine learning theory and algorithms, with applications in medical data analysis.

Selected Publications:

·        T. Lin, H. Xue, L. Wang, B. Huang, H. Zha“Supervised Learning via Euler's Elastica Models,” Journal of Machine Learning Research (JMLR), vol. 16 (Dec): 3637-3686, 2015.

·        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.

To Prospective Graduate Students:

·        Guys with good mathematics training and strong programming skills are welcome.

·        欢迎有良好数学基础与强劲编程技能的同学,加入我们的研究团队。


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School of EECS
Peking Univ.