50 citations · 84 across the 11 of their papers we have counts for
12 papers
Deep Learning for Semen Analysis in Male Infertility: Computer Vision, Multimodal Fusion, and Clinical Translation
Runwei Guan, Shaofeng Liang, Jiacheng Weng +10
Male infertility contributes substantially to the global infertility burden, and sperm analysis remains central to diagnosis, treatment planning, and assisted reproductive technolo…
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection
Shancong Mou, Xiaoyi Gu, Meng Cao +4
Generative adversarial networks (GANs), trained on a large-scale image dataset, can be a good approximator of the natural image manifold. GAN-inversion, using a pre-trained generat…
Exploiting Instance and Variable Similarity to Improve Learning-Enhanced Branching
Xiaoyi Gu, Santanu S. Dey, Álinson S. Xavier +1
In many operational applications, it is necessary to routinely find, within a very limited time window, provably good solutions to challenging mixed-integer linear programming (MIL…
Solving sparse separable bilinear programs using lifted bilinear cover inequalities
Xiaoyi Gu, Santanu S. Dey, Jean-Philippe P. Richard
Recently, we proposed a class of inequalities called lifted bilinear cover inequalities, which are second-order cone representable convex inequalities, and are valid for a set desc…
Lifting convex inequalities for bipartite bilinear programs
Xiaoyi Gu, Santanu S. Dey, Jean-Philippe P. Richard
The goal of this paper is to derive new classes of valid convex inequalities for quadratically constrained quadratic programs (QCQPs) through the technique of lifting. Our first ma…
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection
Xiaoyi Gu, Leman Akoglu, Alessandro Rinaldo
Nearest-neighbor (NN) procedures are well studied and widely used in both supervised and unsupervised learning problems. In this paper we are concerned with investigating the perfo…
Exact Augmented Lagrangian Duality for Mixed Integer Quadratic Programming
Xiaoyi Gu, Shabbir Ahmed, Santanu S. Dey
Mixed integer quadratic programming (MIQP) is the problem of minimizing a convex quadratic function over mixed integer points in a rational polyhedron. This paper focuses on the au…
Global Optimization with Orthogonality Constraints via Stochastic Diffusion on Manifold
Honglin Yuan, Xiaoyi Gu, Rongjie Lai +1
Orthogonality constrained optimization is widely used in applications from science and engineering. Due to the nonconvex orthogonality constraints, many numerical algorithms often…
Optimizing quantization for Lasso recovery
Xiaoyi Gu, Shenyinying Tu, Hao-Jun Michael Shi +3
This letter is focused on quantized Compressed Sensing, assuming that Lasso is used for signal estimation. Leveraging recent work, we provide a framework to optimize the quantizati…
Methods for Quantized Compressed Sensing
Hao-Jun Michael Shi, Mindy Case, Xiaoyi Gu +2
In this paper, we compare and catalog the performance of various greedy quantized compressed sensing algorithms that reconstruct sparse signals from quantized compressed measuremen…
A note on practical approximate projection schemes in signal space methods
Xiaoyi Gu, Deanna Needell, Shenyinying Tu
Compressive sensing (CS) is a new technology which allows the acquisition of signals directly in compressed form, using far fewer measurements than traditional theory dictates. Rec…
Practical approximate projection schemes in greedy signal space methods
Chris Garnatz, Xiaoyi Gu, Alison Kingman +3
Compressive sensing (CS) is a new signal acquisition paradigm which shows that far fewer samples are required to reconstruct sparse signals than previously thought. Although most o…