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Baoyu Zhou
PhD Candidate
Department of Industrial & Systems Engineering
Lehigh University
baoyu.zhou@lehigh.edu
I am widely interested in Nonlinear Optimization. Currently, I am working with Frank E. Curtis and Daniel P. Robinson on Constrained Stochastic Optimization.
Recent News
- (Upcoming) I will organize two sessions and give a presentation at the INFORMS Annual Meeting 2021, Anaheim, CA
- (08/03/21) Presented in the session of “Algorithms for Derivative-Free Optimization” at the MOPTA Conference 2021, Bethlehem, PA
- (08/02/21) Presented in the session of “Methods for Large-Scale, Nonlinear and Stochastic Optimization” at the MOPTA Conference 2021, Bethlehem, PA
- (07/20/21) Presented in the session of “Methods for Large-Scale, Nonlinear and Stochastic Optimization” at the SIAM Conference on Optimization 2021, Spokane, WA
- (07/07/21) New paper out! “Inexact Sequential Quadratic Optimization for Minimizing a Stochastic Objective Function Subject to Deterministic Nonlinear Equality Constraints” (joint work with Frank E. Curtis and Daniel P. Robinson)
- (06/30/21) I received SIAM Student Travel Awards for attending SIAM Conference on Optimization 2021.
- (06/28/21) Our paper “Manifold Sampling for Optimizing Nonsmooth Nonconvex Compositions” has been accepted for publication in SIAM Journal on Optimization (joint work with Jeffrey Larson and Matt Menickelly)
- (05/17/21) Joined Facebook AI Research as a Research Intern, fortunate to be mentored by Aaron Defazio.
- (05/11/21) I was awarded as the ISE Ph.D. Student of the Year 2021.
- (05/07/21) I received 2021 Van Hoesen Family Best Publication Award.
- (05/03/21) I was accepted into the 2021 Rossin Professional Development Program!
- (03/04/21) Presented in the session of “Methods for Nonsmooth Optimization” at the SIAM Conference on Computational Science and Engineering 2021, Fort Worth, TX
- (02/17/21) Our paper “Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization” has been accepted for publication in SIAM Journal on Optimization (joint work with Albert S. Berahas, Frank E. Curtis and Daniel P. Robinson)
- (01/07/21) I successfully passed my Dissertation Research Proposal Defense! Thanks to my doctoral committee: Frank E. Curtis, Albert S. Berahas, Jorge Nocedal, Daniel P. Robinson, and Luis Nunes Vicente!
- (01/04/21) Our paper “Limited-Memory BFGS with Displacement Aggregation” has been accepted for publication in Mathematical Programming (joint work with Albert S. Berahas and Frank E. Curtis)
- (11/12/20) Presented in the session of “Nonconvex and Nonsmooth Optimization” at the INFORMS Annual Meeting 2020, National Harbor, MD
- (11/04/20) New paper out! “Manifold Sampling for Optimizing Nonsmooth Nonconvex Compositions” (joint work with Jeffrey Larson and Matt Menickelly)
- (08/24/20) I’m serving as the Vice-President of Lehigh INFORMS Student Chapter in 2020–2021 academic year
- (07/20/20) New paper out! “Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization” (joint work with Albert S. Berahas, Frank E. Curtis and Daniel P. Robinson)