activity
20242026
most citedAB-Cache: Training-Free Acceleration of Diffusion Models via Adams-Bashforth Cached Feature Reuse

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2026

A Computable Stochastic Riccati Equations Framework for Mean--Variance Portfolio Selection with Multifactor Stochastic Volatility Model

Zhecheng Huang, Guojiang Shao, Lei Wang +1

We investigate a computable and empirically implementable framework for continuous-time mean--variance optimal portfolio selection with random market coefficients. The market model…

math.OC2026

Stochastic LQ Optimal Control with Random Coefficients and a Terminal Mean-Field Cost

Guojiang Shao, Zuo Quan Xu, Qi Zhang

This paper investigates a multidimensional non-homogeneous stochastic linear-quadratic optimal control problem featuring random coefficients and a terminal mean-field term in the c…

math.OC2025

Competitive optimal portfolio selection under mean-variance criterion

Guojiang Shao, Zuo Quan Xu, Qi Zhang

We investigate a portfolio selection problem involving multi competitive agents, each exhibiting mean-variance preferences. Unlike classical models, each agent's utility is determi…

stat.ML2025★ 1 cited

AB-Cache: Training-Free Acceleration of Diffusion Models via Adams-Bashforth Cached Feature Reuse

Zichao Yu, Zhen Zou, Guojiang Shao +6

Diffusion models have demonstrated remarkable success in generative tasks, yet their iterative denoising process results in slow inference, limiting their practicality. While exist…

cs.IT2024

Sharp Estimates for Optimal Multistage Group Partition Testing

Guojiang Shao

In multistage group testing, the tests within the same stage are considered nonadaptive, while those conducted across different stages are adaptive. Specifically, when the pools wi…