Xun Qian is a postdoc fellow under the supervision of Prof. Peter Richtarik in CEMSE, King Abdullah University of Science and Technology (KAUST). He obtained his PhD degree under the supervision of Prof. Liao Li-Zhi in Department of Mathematics, Hong Kong Baptist University (HKBU) in 2017.
PhD in Mathematics, 2017
Hong Kong Baptist University
BSc in Mathematics, 2013
Huazhong University of Science and Technology
11, X. Qian, A. Sailanbayev, K. Mishchenko, P. Richtarik, “MISO is Making a Comeback With Better Proofs and Rates”, arXiv: 1906.01474. http://arxiv.org/abs/1906.01474
10, X. Qian, Z, Qu, P. Richtarik, “L-SVRG and L-Katyusha with Arbitrary Sampling”, arXiv: 1906.01481. http://arxiv.org/abs/1906.01481
9, R. M. Gower, N. Loizou, X. Qian, A. Sailanbayev, E. Shulgin, P. Richtarik, “SGD: general analysis and improved rates”, ICML 2019. http://proceedings.mlr.press/v97/qian19b.html
8, X. Qian, Z, Qu, P. Richtarik, “SAGA with arbitrary sampling”, ICML 2019. http://proceedings.mlr.press/v97/qian19a.html
7, X. Qian, L.-Z. Liao, J. Sun, and H. Zhu, “The convergent generalized central paths for linearly constrained convex programming”, SIAM J. Optim., 28(2), 1183-1204, 2018. https://epubs.siam.org/doi/pdf/10.1137/16M1104172
6, X. Qian, L.-Z. Liao, and J. Sun, “A strategy of global convergence for the affine scaling algorithm for convex semidefinite programming”, Math. Program., 1-19, 2018. https://link.springer.com/article/10.1007/s10107-018-1314-0
5, B. Li, X. Qian, J. Sun, K. L. Teo, and C. J. Yu, “A model of distributionally robust two-stage stochastic convex programming with linear recourse”, Applied Mathematical Modelling, 58, 86-97, 2018. https://www.sciencedirect.com/science/article/pii/S0307904X17307382
4, X. Qian and L.-Z. Liao, “Generalized affine scaling trajectory analysis for linearly constrained convex programming”, International Symposium on Neural Networks ,Springer, Cham, 139-147, 2018. https://link.springer.com/chapter/10.1007/978-3-319-92537-0_17
3, H. W. Yue, L.-Z. Liao, and X. Qian, “Two interior point continuous trajectory models for convex quadratic programming with bound constraints”, Pac. J. Optim., (to appear)
2, X. Qian and L.-Z. Liao, “Analysis of the primal affine scaling continuous trajectory for convex programming”, Pac. J. Optim., 14(2), 261-272, 2018. http://www.ybook.co.jp/online2/oppjo/vol14/p261.html
1, X. Qian, L.-Z. Liao, and J. Sun, “Analysis of some interior point continuous trajectories for convex programming”, Optimization, 66 (4), 589-608, 2017. https://doi.org/10.1080/02331934.2017.1279160