Chuan He
Assistant Professor Department of MathematicsLinköping University ☃️🏡Chuan He
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I am an Assistant Professor in the Department of Mathematics and am also affiliated with WASP at Linköping University.
I am an Assistant Professor in the Department of Mathematics and am also affiliated with WASP at Linköping University.
I was a postdoctoral associate in the Department of Computer Science and Engineering at Universitof Minnesota, working with Professor Ju Sun. I earned my PhD from the Department of Industrial and Systems Engineering at University of Minnesota under the supervision of Professor Zhaosong Lu. I received my bachelor's degree from the School of Mathematical Sciences at Xiamen University, with thesis advised by Professor Wen Huang.
I was a postdoctoral associate in the Department of Computer Science and Engineering at Universitof Minnesota, working with Professor Ju Sun. I earned my PhD from the Department of Industrial and Systems Engineering at University of Minnesota under the supervision of Professor Zhaosong Lu. I received my bachelor's degree from the School of Mathematical Sciences at Xiamen University, with thesis advised by Professor Wen Huang.
My research interests center around data science and optimization, with topics including deep learning, decentralized optimization, large-scale optimization, and high-order methods. I am also interested in applications of machine learning in healthcare, scientific computing, image science, and engineering.
My research interests center around data science and optimization, with topics including deep learning, decentralized optimization, large-scale optimization, and high-order methods. I am also interested in applications of machine learning in healthcare, scientific computing, image science, and engineering.
News 🗞️
News 🗞️
Upcoming
[March 20-22, 2026]: I will organize a session on "Recent Advances in Stochastic and Large-Scale Optimization" at INFORMS Optimization Society Conference (IOS 2026), Georgia Tech, United States.
[Jun 2-5, 2025]: I will give a talk on "Exploring low-rank structure in Muon" at SIAM Conference on Optimization (OP26), Edinburgh, United Kingdom.
Past
[Oct 1, 2025]: Our paper "DeMuon: A decentralized Muon for matrix optimization over graphs" (with Shuyi Ren, Jingwei Mao, and Erik G. Larsson) is available on arXiv.
[Sep 15, 2025]: Our paper "Low-rank orthogonalization for large-scale matrix optimization with applications to foundation model training" (with Zhanwang Deng and Zhaosong Lu) is available on arXiv.
[Sep 2-5, 2025]: I gave a talk on "Stochastic first-order methods can leverage arbitrarily order smoothness for acceleration" at International Conference on Operations Research 2025 (OR 2025), Bielefeld University, Germany.
[July 17, 2025]: Our paper "Exact reformulation and optimization for direct metric optimization in binary imbalanced classification" (with Le Peng, Yash Travadi, Ying Cui, Ju Sun) is available on arXiv.
[July 17, 2025]: Our paper "Faster stochastic cubic regularized Newton methods with momentum" (with Yiming Yang, Xiao Wang and Zheng Peng) is available on arXiv.
[Jun 29-July 2, 2025]: I organized a session on "Recent Advances in Stochastic Optimization" and gave a talk titled "Complexity of normalized stochastic first-order methods with momentum under heavy-tailed noise" at the 22nd EUROPT Conference on Advances in Continuous Optimization (EUROPT 2025), University of Southampton, United Kingdom. Huge thanks to all the amazing speakers!
[Jun 16-19, 2025]: I presented a poster on "Complexity of normalized stochastic first-order methods with momentum under heavy-tailed noise" at LION 19, Prague, Czech Republic.
[Jun 12, 2025]: Our paper "Complexity of normalized stochastic first-order methods with momentum under heavy-tailed noise" (with Zhaosong Lu, Defeng Sun and Zhanwang Deng) is available on arXiv.
[Apr 19, 2025]: Our paper "Newton-CG methods for nonconvex unconstrained optimization with Hölder continuous Hessian" (with Heng Huang and Zhaosong Lu) is accepted by Mathematics of Operations Research.
[Jan 16, 2025]: I gave a talk on "Optimization for Machine Learning" at the WASP Winter Conference in Norrköping.
[Dec 17, 2024]: Our paper "Stochastic interior-point methods for smooth conic optimization with applications" (with Zhanwang Deng) is available on arXiv.
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