Chengming Jiang
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Chengming Jiang, Ph.D. Candidate Computer Science, University of California Davis.
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About
I am a Ph.D. candidate, major in Computer Science at University of California Davis, advised by Professor Zhaojun Bai. My research interests are in numerical algorithms and high performance computing. I got my M.S. and B.S. degree in Information Security at Shanghai Jiao Tong University.
Recent Projects
FAST-GE-2.0: A robust and efficient generalized spectral method for constrained clustering.
FSI: A fast selected inversion algorithm for computing selected entries of p-cyclic matrices.
xSYGVIC: A LAPACK-style package for solving ill-conditioned generalized symmetric eigenvalue problems.
Publications
Chengming Jiang, Huiqing Xie and Zhaojun Bai. Robust and efficient computation of eigenvectors in a generalized spectral method for constrained clustering. In Proceeding of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017), PMLR 54:757–766, 2017. (preprint)
Chengming Jiang, Zhaojun Bai and Richard Scalettar. A fast selected inversion algorithm for Green's function calculation in many-body quantum Monte Carlo simulations. In Proceeding of the 30th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2016), pp. 473–482, 2016. (preprint)
Tanfeng Sun, Xinghao Jiang, Chengming Jiang and Yaqing Li. A video content classification algorithm applying to human action recognition. Elektronika ir Elektrotechnika 19(4):61–64, 2013. (preprint)
Xinghao Jiang, Tanfeng Sun, Bing Feng and Chengming Jiang. A space-time Surf descriptor and its application to action recognition with video words. In Proceeding of the 8th IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2011), vol.3, pp. 1911–1915, 2011. (preprint)