Rujun Jiang

34 papers A* 6A 2Journal 23Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Proximal Difference-of-Convex Algorithm for Sample Average Approximation of Chance Constrained Programming.
INFORMS J. Comput.
Peng Wang, Rujun Jiang, Qingyuan Kong, Laura Balzano
2026 J jnl
Linear convergence of the proximal gradient method for composite optimization under the Polyak-Łojasiewicz inequality and its variant.
Optim. Lett.
Qingyuan Kong, Rujun Jiang, Yihan He
2025 J jnl
A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization.
CoRR
Po Chen, Rujun Jiang, Peng Wang
2025 J jnl
A data-driven mixed integer programming approach for joint chance-constrained optimal power flow under uncertainty.
Int. J. Mach. Learn. Cybern.
James Ciyu Qin, Rujun Jiang, Huadong Mo, Daoyi Dong
2025 J jnl
Decision Making Under Cumulative Prospect Theory: An Alternating Direction Method of Multipliers.
INFORMS J. Comput.
Xiangyu Cui, Rujun Jiang, Yun Shi, Rufeng Xiao, Yifan Yan
2025 J jnl
Error Bound Analysis for the Regularized Loss of Deep Linear Neural Networks.
CoRR
Po Chen, Rujun Jiang, Peng Wang
2025 J jnl
New notions of simultaneous diagonalizability of quadratic forms with applications to QCQPs.
Math. Program.
Alex L. Wang, Rujun Jiang
2025 J jnl
Riemannian Adaptive Regularized Newton Methods with Hölder Continuous Hessians.
Comput. Optim. Appl.
Chenyu Zhang, Rujun Jiang
2025 A* conf
SOREL: A Stochastic Algorithm for Spectral Risks Minimization.
ICLR
Yuze Ge, Rujun Jiang
2024 J jnl
A Riemannian Proximal Newton Method.
SIAM J. Optim.
Wutao Si, Pierre-Antoine Absil, Wen Huang, Rujun Jiang, Simon Vary
2024 A conf
Lower-level Duality Based Reformulation and Majorization Minimization Algorithm for Hyperparameter Optimization.
AISTATS
He Chen, Haochen Xu, Rujun Jiang, Anthony Man-Cho So
2024 A conf
Near-Optimal Convex Simple Bilevel Optimization with a Bisection Method.
AISTATS
Jiulin Wang, Xu Shi, Rujun Jiang
2024 A* conf
Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds.
NeurIPS
Pengyu Chen, Xu Shi, Rujun Jiang, Jiulin Wang
2024 A* conf
RSAP-DFM: Regime-Shifting Adaptive Posterior Dynamic Factor Model for Stock Returns Prediction.
IJCAI
Quanzhou Xiang, Zhan Chen, Qi Sun, Rujun Jiang
2024 J jnl
Riemannian Trust Region Methods for $\hbox {SC}^1$ Minimization.
J. Sci. Comput.
Chenyu Zhang, Rufeng Xiao, Wen Huang, Rujun Jiang
2024 J jnl
SOREL: A Stochastic Algorithm for Spectral Risks Minimization.
CoRR
Yuze Ge, Rujun Jiang
2023 A* conf
A Unified Framework for Rank-based Loss Minimization.
NeurIPS
Rufeng Xiao, Yuze Ge, Rujun Jiang, Yifan Yan
2023 J jnl
Exactness Conditions for Semidefinite Programming Relaxations of Generalization of the Extended Trust Region Subproblem.
Math. Oper. Res.
Rujun Jiang, Duan Li
2022 J jnl
Hölderian Error Bounds and Kurdyka-Łojasiewicz Inequality for the Trust Region Subproblem.
Math. Oper. Res.
Rujun Jiang, Xudong Li
2022 A* conf
Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation.
ICML
Jiali Wang, Wen Huang, Rujun Jiang, Xudong Li, Alex L. Wang
2022 J jnl
Tackling A Class of Hard Subset-Sum Problems: Integration of Lattice Attacks with Disaggregation Techniques.
CoRR
Bojun Lu, Duan Li, Rujun Jiang
2021 J jnl
An accelerated first-order method with complexity analysis for solving cubic regularization subproblems.
Comput. Optim. Appl.
Rujun Jiang, Man-Chung Yue, Zhishuo Zhou
2021 J jnl
Complexity Results and Effective Algorithms for Worst-Case Linear Optimization Under Uncertainties.
INFORMS J. Comput.
Hezhi Luo, Xiaodong Ding, Jiming Peng, Rujun Jiang, Duan Li
2021 A* conf
Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss.
ICML
Jiali Wang, He Chen, Rujun Jiang, Xudong Li, Zihao Li
2020 J jnl
A Linear-Time Algorithm for Generalized Trust Region Subproblems.
SIAM J. Optim.
Rujun Jiang, Duan Li
2019 J jnl
Novel Reformulations and Efficient Algorithms for the Generalized Trust Region Subproblem.
SIAM J. Optim.
Rujun Jiang, Duan Li
2019 — conf
On Conic Relaxations of Generalization of the Extended Trust Region Subproblem.
WCGO
Rujun Jiang, Duan Li
2019 J jnl
Quadratic convex reformulation for quadratic programming with linear on-off constraints.
Eur. J. Oper. Res.
Baiyi Wu, Duan Li, Rujun Jiang
2019 J jnl
Second order cone constrained convex relaxations for nonconvex quadratically constrained quadratic programming.
J. Glob. Optim.
Rujun Jiang, Duan Li
2019 — conf
Semidefinite Programming Based Convex Relaxation for Nonconvex Quadratically Constrained Quadratic Programming.
WCGO
Rujun Jiang, Duan Li
2018 — conf
LPA-SD: An Efficient First-Order Method for Single-Group Multicast Beamforming.
SPAWC
Rujun Jiang, Huikang Liu, Anthony Man-Cho So
2018 J jnl
Portfolio Optimization with Nonparametric Value at Risk: A Block Coordinate Descent Method.
INFORMS J. Comput.
Xueting Cui, Xiaoling Sun, Shushang Zhu, Rujun Jiang, Duan Li
2018 J jnl
SOCP reformulation for the generalized trust region subproblem via a canonical form of two symmetric matrices.
Math. Program.
Rujun Jiang, Duan Li, Baiyi Wu
2016 J jnl
Simultaneous Diagonalization of Matrices and Its Applications in Quadratically Constrained Quadratic Programming.
SIAM J. Optim.
Rujun Jiang, Duan Li