activity
20112026
most citedStrong NP-Hardness for Sparse Optimization with Concave Penalty Functions

13 citations · 44 across the 26 of their papers we have counts for

collaborators

27 papers

math.CO2026

A Curved-Path Refinement of the Kalai--Kleitman Diameter Bound

Tianhao Liu, Dongdong Ge, Yinyu Ye

Let be the maximum graph diameter of a pointed -dimensional polyhedron with facets. Using a curved-path encoding of the iterated Kalai--Kleitman recurrence, we pr…

stat.ML2025

Beyond Regret: Decoupling Learning and Decision-making in Online Linear Programming

Wenzhi Gao, Dongdong Ge, Chenyu Xue +2

Online linear programming plays an important role in both revenue management and resource allocation, and recent research has focused on developing efficient first-order online lea…

cs.CV2024

A Robust Anchor-based Method for Multi-Camera Pedestrian Localization

Wanyu Zhang, Jiaqi Zhang, Dongdong Ge +4

This paper addresses the problem of vision-based pedestrian localization, which estimates a pedestrian's location using images and camera parameters. In practice, however, calibrat…

math.OC2024

Accelerating Low-Rank Factorization-Based Semidefinite Programming Algorithms on GPU

Qiushi Han, Zhenwei Lin, Hanwen Liu +4

In this paper, we address a long-standing challenge: how to achieve both efficiency and scalability in solving semidefinite programming problems. We propose breakthrough accelerati…

math.OC2024

Restarted Primal-Dual Hybrid Conjugate Gradient Method for Large-Scale Quadratic Programming

Yicheng Huang, Wanyu Zhang, Hongpei Li +3

Convex quadratic programming (QP) is an essential class of optimization problems with broad applications across various fields. Traditional QP solvers, typically based on simplex o…

math.OC2024

A Low-Rank ADMM Splitting Approach for Semidefinite Programming

Qiushi Han, Chenxi Li, Zhenwei Lin +5

We introduce a new first-order method for solving general semidefinite programming problems, based on the alternating direction method of multipliers (ADMM) and a matrix-splitting…