no code implementations • 22 Apr 2024 • Yuying Li, Zeyan Liu, Junyi Zhao, Liangqin Ren, Fengjun Li, Jiebo Luo, Bo Luo
In a benchmarking study, we further evaluate if state-of-the-art open-source and commercial AI image detectors can effectively identify the images in the ARIA dataset.
no code implementations • 11 Apr 2023 • Chendi Ni, Yuying Li, Peter A. Forsyth
We establish mathematically that the LFNN approximation can yield a solution that is arbitrarily close to the solution of the original optimal control problem with bounded leverage.
no code implementations • 15 Mar 2023 • Pieter M. van Staden, Peter A. Forsyth, Yuying Li
We present a parsimonious neural network approach, which does not rely on dynamic programming techniques, to solve dynamic portfolio optimization problems subject to multiple investment constraints.
no code implementations • 9 Feb 2023 • Yuying Li, Yuchen Liu, Donald S. Williamson
More specifically, we develop a joint learning approach that uses a composite T60 module and a separate dereverberation module to simultaneously perform reverberation time estimation and dereverberation.
no code implementations • 27 Jun 2020 • Chendi Ni, Yuying Li, Peter Forsyth, Ray Carroll
The proposed framework is illustrated with the asset allocation problem in the accumulation phase of a defined contribution pension plan, with the goal of achieving a higher terminal wealth than a stochastic benchmark.
no code implementations • 10 Jun 2018 • Yuying Li, Mehdi Faraji
In the first round, the pattern in a set of EREL regions is analyzed and used to generate an approximate luminal region.
no code implementations • 16 Oct 2017 • Edward Cheung, Yuying Li
Frank-Wolfe methods (FW) have gained significant interest in the machine learning community due to its ability to efficiently solve large problems that admit a sparse structure (e. g. sparse vectors and low-rank matrices).
no code implementations • 13 Apr 2017 • Edward Cheung, Yuying Li
To address this issue, we propose a rank-drop method for nuclear norm constrained problems.