Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
Projects
- 4 Active
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ACED: Accelerating Materials Discovery by Learning with Physics-Informed Constraints
Bartel, C. J. (PI), Lu, Z. (PI) & Sun, J. (PI)
THE NATIONAL SCIENCE FOUNDATION
6/15/25 → 11/30/26
Project: Research project
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Zeroth- and First-Order Methods for Bilevel Optimization
Lu, Z. (PI)
9/25/24 → 9/24/27
Project: Research project
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Stochastic and Distributed First-Order Methods for Big Convex Optimization
Lu, Z. (PI)
9/1/24 → 8/31/27
Project: Research project
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Collaborative Research: III: Medium: New Machine Learning Empowered Nanoinformatics System for Advancing Nanomaterial Design
Lu, Z. (PI)
THE NATIONAL SCIENCE FOUNDATION
9/1/22 → 8/31/26
Project: Research project
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A first-order method for nonconvex-strongly-concave constrained minimax optimization
Lu, Z. & Mei, S., 2026, In: Optimization Methods and Software. 41, 1, p. 192-225 34 p.Research output: Contribution to journal › Article › peer-review
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A first-order augmented Lagrangian method for constrained minimax optimization
Lu, Z. & Mei, S., Sep 2025, In: Mathematical Programming. 213, 1-2, p. 1063-1104 42 p.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations -
Primal-Dual Extrapolation Methods for Monotone Inclusions Under Local Lipschitz Continuity
Lu, Z. & Mei, S., Nov 2025, In: Mathematics of Operations Research. 50, 4, p. 2577-2599 23 p.Research output: Contribution to journal › Article › peer-review
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A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization
He, C., Huang, H. & Lu, Z., Dec 2024, In: Computational Optimization and Applications. 89, 3, p. 843-894 52 p.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations -
A NONLOCAL KRONECKER-BASIS-REPRESENTATION METHOD FOR LOW-DOSE CT SINOGRAM RECOVERY
Lu, J., Hu, H., Zou, Y., Lu, Z., Liu, X., Zu, K. & Li, L., 2024, In: Journal of Computational Mathematics. 42, 4, p. 1080-1108 29 p.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations