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BIMSA Member Seminar
BIMSA Member Seminar
Difference of Sums-of-Squares Decompositions for Polynomials
Difference of Sums-of-Squares Decompositions for Polynomials
Organizers
Speaker
Time
Monday, June 17, 2024 5:00 PM - 5:45 PM
Venue
A6-101
Online
Zoom 388 528 9728
(BIMSA)
Abstract
Speaker Intro
Yi-Shuai Niu is an Associate Professor at the Beijing Institute of Mathematical Sciences and Applications (BIMSA), specializing in optimization, scientific computing, machine learning, and computer science. He also holds a dual appointment at Tsinghua University (Qiuzhen College), where he teaches optimization- and AI-related courses and supervises graduate and undergraduate research. Before joining BIMSA, he was a Research Fellow at The Hong Kong Polytechnic University (2021–2022) and an Associate Professor at Shanghai Jiao Tong University (2014–2021), where he founded the Optimization and Interdisciplinary Research Group and held concurrent appointments at the SJTU-ParisTech Elite Institute of Technology and the School of Mathematical Sciences. His earlier positions included Postdoctoral Fellow at the University of Paris 6 (2013–2014), Junior Researcher at CNRS and Stanford University (2010–2012), and Lecturer at INSA Rouen (2007–2010). He received his Ph.D. in Mathematics–Optimization in 2010 and master’s degrees in "Pure and Applied Mathematics" and "Engineering Mathematics" in 2006.
His research focuses on optimization theory, machine learning, high-performance computing (HPC), and scientific software, with applications in natural language processing, autonomous driving, finance, image processing, turbulent combustion, polymer science, quantum computing, and plasma physics. He develops new theories and algorithms for large-scale nonconvex and nonsmooth optimization, together with efficient HPC-based solvers and scientific computing packages. He has developed more than 36 software packages and published over 40 papers in leading journals and conference proceedings, including the SIAM Journal on Optimization, Journal of Scientific Computing, and Combustion and Flame. He has served as PI of 7 research grants, including an NSFC Key Project, and as a core member of 5 international collaborative projects.
His honors include the Beijing High-Level Overseas Talent Programs, core membership in the Beijing Strategic Scientist Program, the First Prize of the 2017 Shanghai Teaching Achievement Award, and First Prizes of the Shanghai Jiao Tong University Teaching Achievement Awards in 2016 and 2017; he has received 17 MCM/ICM awards, including the 2017 INFORMS Best Paper Award. In 2026, he received the International Congress of Basic Science (ICBS) Innovation Science Award and was named a “Li Bing Engineering Innovation Scholar”.
His research focuses on optimization theory, machine learning, high-performance computing (HPC), and scientific software, with applications in natural language processing, autonomous driving, finance, image processing, turbulent combustion, polymer science, quantum computing, and plasma physics. He develops new theories and algorithms for large-scale nonconvex and nonsmooth optimization, together with efficient HPC-based solvers and scientific computing packages. He has developed more than 36 software packages and published over 40 papers in leading journals and conference proceedings, including the SIAM Journal on Optimization, Journal of Scientific Computing, and Combustion and Flame. He has served as PI of 7 research grants, including an NSFC Key Project, and as a core member of 5 international collaborative projects.
His honors include the Beijing High-Level Overseas Talent Programs, core membership in the Beijing Strategic Scientist Program, the First Prize of the 2017 Shanghai Teaching Achievement Award, and First Prizes of the Shanghai Jiao Tong University Teaching Achievement Awards in 2016 and 2017; he has received 17 MCM/ICM awards, including the 2017 INFORMS Best Paper Award. In 2026, he received the International Congress of Basic Science (ICBS) Innovation Science Award and was named a “Li Bing Engineering Innovation Scholar”.