activity
20212026
most citedEfficient Optimal Transport Algorithm by Accelerated Gradient descent

2 citations · 3 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CE2026

A Survey of AI Methods for Geometry Preparation and Mesh Generation in Engineering Simulation

Steven Owen, Nathan Brown, Nikos Chrisochoides +8

Artificial intelligence is beginning to reduce the manual effort in the CAD-to-mesh pipeline. Written for meshing and geometry practitioners with limited AI background, this survey…

cs.CV2025

Hyperbolic Optimal Transport

Yan Bin Ng, Xianfeng Gu

The optimal transport (OT) problem aims to find the most efficient mapping between two probability distributions under a given cost function, and has diverse applications in many f…

cs.CV2024

HOTS3D: Hyper-Spherical Optimal Transport for Semantic Alignment of Text-to-3D Generation

Zezeng Li, Weimin Wang, Yuming Zhao +3

Recent CLIP-guided 3D generation methods have achieved promising results but struggle with generating faithful 3D shapes that conform with input text due to the gap between text an…

cs.CV2024

Global Parameterization-based Texture Space Optimization

Wei Chen, Yuxue Ren, Na Lei +2

Texture mapping is a common technology in the area of computer graphics, it maps the 3D surface space onto the 2D texture space. However, the loose texture space will reduce the ef…

cs.CV2023

DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport

Zezeng Li, ShengHao Li, Zhanpeng Wang +3

Sampling from diffusion probabilistic models (DPMs) can be viewed as a piecewise distribution transformation, which generally requires hundreds or thousands of steps of the inverse…

cs.LG2023★ 1 cited

Large language models improve Alzheimer's disease diagnosis using multi-modality data

Yingjie Feng, Jun Wang, Xianfeng Gu +2

In diagnosing challenging conditions such as Alzheimer's disease (AD), imaging is an important reference. Non-imaging patient data such as patient information, genetic data, medica…

cs.LG2021★ 2 cited

Efficient Optimal Transport Algorithm by Accelerated Gradient descent

Dongsheng An, Na Lei, Xianfeng Gu

Optimal transport (OT) plays an essential role in various areas like machine learning and deep learning. However, computing discrete optimal transport plan for large scale problems…