Research
A Julia Package for DRSOM, HSODM, UTR: DRSOM.jl
Nonlinear programming
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| A Universal Trust-Region Method for Convex and Nonconvex Optimization. | Revision, 2023 |
| with C He, Y Jiang, D Ge, B Jiang, and Y Ye | [arXiv] |
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| A Homogeneous Second-Order Descent Method for Nonconvex Optimization | Math. OR (to appear) |
| with ___ | [arXiv] |
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| Homogeneous Second-Order Descent Framework: A Fast Alternative to Newton-Type Methods | Math. Prog. (to appear) |
| with ___ | [arXiv][supplemental report][slides] |
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Mixed-Integer Optimization & Applications
Real-world applications in the industry.
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| A Customized Augmented Lagrangian Method for Block-Structured Integer Programming | IEEE TPAMI., 2024 |
| with R Wang, S Pu, J Gao, Z Wen | |
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| An Approximate Dynamic Programming Approach for Solving Aircraft Fleet Engine Maintenance Problem: Methodology and A Case Study | EJOR., 2024 |
| with M Zhang, J Yang, S He, H Liu, and Z Wang | |
Optimization Solvers
Conference
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| Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness | AAAI, 2024 |
| with C Xie, C Li, Q Deng, D Ge, Y Ye | |
Working papers
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