BIMSA > Yi Shuai Niu
Associate Professor Yi Shuai Niu

Group: Artificial Intelligence and Machine Learning , Quantum Symmetry

Office: A6-301

Email: niuyishuai@bimsa.cn

Research Field: Optimization, High-Performance Computing, Machine Learning

Webpage: https://sites.google.com/view/niuys

Biography

Yi-Shuai Niu, a tenured Associate Professor of Mathematics at Beijing Institute of Mathematical Sciences and Applications (BIMSA), specialized in Optimization, Scientific Computing, Machine Learning, and Computer Sciences. Before joining BIMSA in October 2023, he was a research fellow at the Hong Kong Polytechnic University (2021-2022); an associate professor at Shanghai Jiao Tong University (2014-2021), where he led the “Optimization and Interdisciplinary Research Group” and double-appointed at the ParisTech Elite Institute of Technology and the School of Mathematical Sciences. His earlier roles include postdoc at the University of Paris 6 (2013-2014) and junior researcher both at the French National Center for Scientific Research (CNRS) and Stanford University (2010-2012). He was also a lecturer at the National Institute of Applied Sciences (INSA) of Rouen (2007-2010) in France, where he earned a Ph.D. in Mathematics-Optimization in 2010 and double Masters in Pure and Applied Mathematics and Genie Mathematics in 2006. His research covers a wide range of applied mathematics, with a spotlight on optimization theory, machine learning, high-performance computing, and software development. His works span various interdisciplinary applications including: machine learning, natural language processing, self-driving car, finance, image processing, turbulent combustion, polymer science, quantum chemistry and computing, and plasma physics. His contributions encompass fundamental research, emphasizing novel algorithms for large-scale nonconvex and nonsmooth problems, and practical implementations, focusing on efficient optimization solvers and scientific computing packages using high-performance computing techniques. He developed more than 33 pieces of software and published about 30 articles in prestigious journals and conferences (including SIAM Journal on Optimization, Journal of Scientific Computing, Combustion and Flames, Applied Mathematics and Computation). He was PI of 5 research grants and members of 5 joint international research projects. He was awarded of shanghai teaching achievement award (First prize) in 2017, two outstanding teaching awards (First prize) at Shanghai Jiao Tong University in 2016 and 2017 respectively, as well as 17 awards in international contests of mathematics MCM/ICM (including the INFORMS best paper award in 2017).

Publication

  • [1] Yi-Shuai Niu, Hoai An Le Thi, and Dinh Tao Pham, On Difference-of-SOS and Difference-of-Convex-SOS Decompositions for Polynomials, SIAM Journal on Optimization, 34(2024), 2, 1852-1878
  • [2] H. Zhang, Y.S. Niu, A Boosted-DCA with Power-Sum-DC Decomposition for Linearly Constrained Polynomial Program, Journal of Optimization Theory and Applications, 201(2024), 720-759
  • [3] Y.S. Niu, An Accelerated DC Programming Approach With Exact Line Search for the Symmetric Eigenvalue Complementarity Problem, arXiv:2301.09098(2024)
  • [4] Y.S. Niu, Hybrid Accelerated DC Algorithms for the Asymmetric Eigenvalue Complementarity Problem, arXiv:2305.12076(2024)
  • [5] Yu You, and Yi-Shuai Niu, A Refined Inertial DC Algorithm for DC Programming, Optimization and Engineering, 24(2023), 65-91
  • [6] Y. You, Y.S. Niu, A Variable Metric and Nesterov Extrapolated Proximal DCA With Backtracking for A Composite DC Program, Journal of Industrial and Management Optimization, 19(2023), 10, 7716-7734
  • [7] Y.S. Niu, Y.J. Wang, H.A. Le Thi, D.T. Pham, High-order Moment Portfolio Optimization via an Accelerated Difference-of-Convex Programming Approach and Sums-of-Squares, arXiv:1906.01509(2023)
  • [8] Y.S. Niu, Y. You, M.F. Benammour, Y.J. Wang, Parallel DCCUT Algorithms for Mixed-Binary Linear Programs, arXiv:2103.00717(2023)
  • [9] Y.S. Niu, On the Convergence Analysis of DCA, arXiv:2211.10942(2023)
  • [10] Y.S. Niu, R. Glowinski, Discrete Dynamical System Approaches for Boolean Polynomial Optimization, Journal of Scientific Computing, 92(2022), 2, 1-39
  • [11] Y.S. Niu, H. Zhang, Power-product Matrix: Nonsingularity, Sparsity and Determinant, Linear and Multilinear Algebra(2022), 1-18
  • [12] Y.S. Niu, H.J. Ji, Optimisation Théorie et Algorithmes, Shanghai Jiao Tong University Press(2022)
  • [13] Yi-Shuai Niu, Wentao Ding, Junpeng Hu, Wenxu Xu, and Stephane Canu, Spatio-Temporal Neural Network for Fitting and Forecasting COVID-19, arXiv:2103.11860 (2021)
  • [14] Yi-Shuai Niu, Yu You, Wenxu Xu, Wentao Ding, Junpeng Hu, and Songquan Yao, A Difference-of-Convex Programming Approach With Parallel Branch-and-Bound for Sentence Compression via a Hybrid Extractive Model, Optimization Letters, 15(2021), 7, 2407-2432
  • [15] Chen Sun, Ye Tian, Liang Gao, Yi-Shuai Niu, Tianlong Zhang, Hua Li, Yuqing Zhang, Zengqi Yue, Nicole Delepine-Gilon, and Jin Yu, Machine Learning Allows Calibration Models to Predict Trace Element Concentration in Soil With Generalized LIBS Spectra, Scientific Reports, 9(2019), 11363
  • [16] Y.S. Niu, Y. You, W.Z. Liu, Parallel DC Cutting Plane Algorithms for Mixed Binary Linear Program, Advances in Intelligent Systems and Computing, 991(2019), 330-340
  • [17] Y.S. Niu, X.W. Hu, Y. You, F. Benammour, H. Zhang, Sentence Compression via DC Programming Approach, Advances in Intelligent Systems and Computing, 991(2019), 341-351
  • [18] Y.S. Niu, J.J. Judice, H.A. Lethi, D.T. Pham, Improved DC Programming Approaches for Solving Quadratic Eigenvalue Complementarity Problem, Applied Mathematics and Computation, 353(2019), 95-113
  • [19] D.T. Pham, H.A. Le Thi, V.N. Pham, Y.S. Niu, DC Programming Approaches for Discrete Portfolio Optimization Under Concave Transaction Costs, Optimization Letters, 10(2016), 2, 261-282
  • [20] Y.S. Niu, J.J. Judice, H.A. Lethi, D.T. Pham, Solving the Quadratic Eigenvalue Complementarity Problem by DC Programming, Advances in Intelligent Systems and Computing, 359(2015), 203-214
  • [21] Y.S. Niu, D.T. Pham, DC Programming Approaches for BMI and QMI Feasibility Problems, Advances in Intelligent Systems and Computing, 282(2014), 37-63
  • [22] G. Ribert, L. Vervisch, P. Domingo, Y.S. Niu, Hybrid transported-tabulated strategy to downsize detailed chemistry for numerical simulation of flames, Flow, Turbulence and Combustion, 92(2014), 1-2, 175-200
  • [23] Y.S. Niu, L. Vervisch, D.T. Pham, An optimization-based approach to detailed chemistry tabulation: Automated progress variables definition, Combustion and Flame, 160(2013), 4, 776-785
  • [24] Y.S. Niu, D.T. Pham, H.A. Le Thi and J.J. Judice, Efficient DC Programming Approaches for the Asymmetric Eigenvalue Complementarity Problem, Optimization Methods and Software, 28(2013), 4, 812-829
  • [25] L. Vervisch, Y.S. Niu, G. Lodier, P. Domingo, Recent developments in turbulent combustion modeling: automated progress variables definition − Ignition combustion regimes after rapid compression, ICHMT DIGITAL LIBRARY ONLINE(2012), 37-47
  • [26] B.M. Ndiaye, H.A. Le Thi, D.T. Pham, Y.S. Niu, DC programming and DCA for large-scale two-dimensional packing problems, Lecture Notes in Computer Science, 7197(2012), 321-330
  • [27] D.T. Pham, Y.S. Niu, An Efficient DC Programming Approach for Portfolio Decision With Higher Moments, Computational Optimization and Applications, 50(2010), 3, 525-554
  • [28] Y.S. Niu, D.T. Pham, A DC Programming Approach for Mixed-Integer Linear Programs, Communications in Computer and Information Science, 14(2008), 244-253

 

Update Time: 2025-03-28 01:57:07