Simultaneous Diagonalization of Matrices and Its Applications in Quadratically Constrained Quadratic Programming. - Rujun Jiang; Duan Li 002 (SIAM J. Optim., 2016)

LPA-SD: An Efficient First-Order Method for Single-Group Multicast Beamforming. - Rujun Jiang; Huikang Liu; Anthony Man-Cho So (SPAWC, 2018)

Portfolio Optimization with Nonparametric Value at Risk: A Block Coordinate Descent Method. - Xueting Cui; Xiaoling Sun 001; Shushang Zhu; Rujun Jiang; Duan Li 002 (INFORMS J. Comput., 2018)

SOCP reformulation for the generalized trust region subproblem via a canonical form of two symmetric matrices. - Rujun Jiang; Duan Li 002; Baiyi Wu (Math. Program., 2018)

On Conic Relaxations of Generalization of the Extended Trust Region Subproblem. - Rujun Jiang; Duan Li 002 (WCGO, 2019)

Semidefinite Programming Based Convex Relaxation for Nonconvex Quadratically Constrained Quadratic Programming. - Rujun Jiang; Duan Li 002 (WCGO, 2019)

Quadratic convex reformulation for quadratic programming with linear on-off constraints. - Baiyi Wu; Duan Li 002; Rujun Jiang (Eur. J. Oper. Res., 2019)

Second order cone constrained convex relaxations for nonconvex quadratically constrained quadratic programming. - Rujun Jiang; Duan Li 002 (J. Glob. Optim., 2019)

Novel Reformulations and Efficient Algorithms for the Generalized Trust Region Subproblem. - Rujun Jiang; Duan Li 002 (SIAM J. Optim., 2019)

A Linear-Time Algorithm for Generalized Trust Region Subproblems. - Rujun Jiang; Duan Li 002 (SIAM J. Optim., 2020)

Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss. - Jiali Wang; He Chen; Rujun Jiang; Xudong Li 004; Zihao Li (ICML, 2021)

An accelerated first-order method with complexity analysis for solving cubic regularization subproblems. - Rujun Jiang; Man-Chung Yue; Zhishuo Zhou (Comput. Optim. Appl., 2021)

Complexity Results and Effective Algorithms for Worst-Case Linear Optimization Under Uncertainties. - Hezhi Luo; Xiaodong Ding; Jiming Peng; Rujun Jiang; Duan Li 002 (INFORMS J. Comput., 2021)

Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation. - Jiali Wang; Wen Huang 001; Rujun Jiang; Xudong Li 004; Alex L. Wang (ICML, 2022)

Tackling A Class of Hard Subset-Sum Problems: Integration of Lattice Attacks with Disaggregation Techniques. - Bojun Lu; Duan Li 002; Rujun Jiang (CoRR, 2022)

Hölderian Error Bounds and Kurdyka-Łojasiewicz Inequality for the Trust Region Subproblem. - Rujun Jiang; Xudong Li 004 (Math. Oper. Res., 2022)

A Unified Framework for Rank-based Loss Minimization. - Rufeng Xiao; Yuze Ge; Rujun Jiang; Yifan Yan (NeurIPS, 2023)

Exactness Conditions for Semidefinite Programming Relaxations of Generalization of the Extended Trust Region Subproblem. - Rujun Jiang; Duan Li 002 (Math. Oper. Res., 2023)

Lower-level Duality Based Reformulation and Majorization Minimization Algorithm for Hyperparameter Optimization. - He Chen; Haochen Xu; Rujun Jiang; Anthony Man-Cho So (AISTATS, 2024)

Near-Optimal Convex Simple Bilevel Optimization with a Bisection Method. - Jiulin Wang; Xu Shi; Rujun Jiang (AISTATS, 2024)

RSAP-DFM: Regime-Shifting Adaptive Posterior Dynamic Factor Model for Stock Returns Prediction. - Quanzhou Xiang; Zhan Chen; Qi Sun; Rujun Jiang (IJCAI, 2024)

Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds. - Pengyu Chen; Xu Shi; Rujun Jiang; Jiulin Wang (NeurIPS, 2024)

A Riemannian Proximal Newton Method. - Wutao Si; Pierre-Antoine Absil; Wen Huang 001; Rujun Jiang; Simon Vary (SIAM J. Optim., 2024)

Riemannian Trust Region Methods for $ hbox {SC}^1$ Minimization. - Chenyu Zhang; Rufeng Xiao; Wen Huang; Rujun Jiang (J. Sci. Comput., 2024)

SOREL: A Stochastic Algorithm for Spectral Risks Minimization. - Yuze Ge; Rujun Jiang (ICLR, 2025)

Decision Making Under Cumulative Prospect Theory: An Alternating Direction Method of Multipliers. - Xiangyu Cui; Rujun Jiang; Yun Shi; Rufeng Xiao; Yifan Yan (INFORMS J. Comput., 2025)

Error Bound Analysis for the Regularized Loss of Deep Linear Neural Networks. - Po Chen; Rujun Jiang; Peng Wang (CoRR, 2025)

A data-driven mixed integer programming approach for joint chance-constrained optimal power flow under uncertainty. - James Ciyu Qin; Rujun Jiang; Huadong Mo; Daoyi Dong (Int. J. Mach. Learn. Cybern., 2025)

A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization. - Po Chen; Rujun Jiang; Peng Wang (CoRR, 2025)

New notions of simultaneous diagonalizability of quadratic forms with applications to QCQPs. - Alex L. Wang; Rujun Jiang (Math. Program., 2025)

Riemannian Adaptive Regularized Newton Methods with Hölder Continuous Hessians. - Chenyu Zhang; Rujun Jiang (Comput. Optim. Appl., 2025)