Chao Yang

SilverTorch: A Unified Model-based System to Democratize Large-Scale Recommendation on GPUs

Bi Xue, Hong Wu, Lei Chen, Chao Yang et autres

Serving deep learning based recommendation models (DLRM) at scale is challenging. Existing approaches rely on dedicated ANN indexing and filtering services on CPUs, suffering from non-negligible costs and missing co-design opportunities. Such inefficiency makes them difficult to support complex model architectures, such …

us (code pays fourni par la source)

Niagara : Normal-Integrated Geometric Affine Field for Scene Reconstruction From a Single View

Xianzu Wu, Zhenxin Ai, Chao Yang, Ser-Nam Lim et autres

Recent advances insingle-view3D scene reconstruction have highlighted the challenges in capturing fine geometric details and ensuring structural consistency, particularly in high-fidelity outdoor scene modeling. This paper presents Niagara, a new single-view 3D scene reconstruction framework that can faithfully reconstruct challenging outdoor scenes …

cn, hk, us, gb (code pays fourni par la source)

A new class correlation-based dynamic sample weighting method for medical image classification

Guanxiu Yi, Ma Ling, Xiabi Liu, Zhaoyang Hai et autres

cn (code pays fourni par la source)

Diagnosis of Tuberculous Pericarditis in Zhejiang, China: A Diagnostic Prediction Model Based on LASSO Logistic Regression

Xiaoqun Xu, Xiao Liu, Chao Yang, Long Cai et autres

Background and Aims: Tuberculous pericarditis (TBP) is a severe, life-threatening complication, yet its diagnosis is highly challenging due to the lack of sufficient diagnostic tools. The aim of this study was to develop and validate a diagnostic prediction model suitable for primary …

cn (code pays fourni par la source)

A New Class Correlation-Based Dynamic Sample Weighting Method for Medical Image Classification

Guanxiu Yi, Ma Ling, Xiabi Liu, Zhaoyang Hai et autres

cn (code pays fourni par la source)

Covariance Intersection-based Invariant Kalman Filtering(DInCIKF) for Distributed Pose Estimation

Haoying Li, Xinghan Li, Shuaiting Huang, Chao Yang et autres

This paper presents a novel approach to distributed pose estimation in the multi-agent system based on an invariant Kalman filter with covariance intersection. Our method models uncertainties using Lie algebra and applies object-level observations within Lie groups, which have practical application value. …

VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI

Xiaofeng Liu, Fangxu Xing, Chao Yang, C.‐C. Jay Kuo et autres

Deep learning has great potential for accurate detection and classification of diseases with medical imaging data, but the performance is often limited by the number of training datasets and memory requirements. In addition, many deep learning models are considered a "black-box," thereby …

us, gb (code pays fourni par la source)

VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI

Xiaofeng Liu, Fangxu Xing, Chao Yang, C.‐C. Jay Kuo et autres

Deep learning has great potential for accurate detection and classification of diseases with medical imaging data, but the performance is often limited by the number of training datasets and memory requirements. In addition, many deep learning models are considered a "black-box," thereby …

Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology

Xiaofeng Liu, Fangxu Xing, Chao Yang, C.‐C. Jay Kuo et autres

us, il (code pays fourni par la source)

Mutual Information Regularized Feature-level Frankenstein for Discriminative Recognition

Xiaofeng Liu, Chao Yang, Jane You, C.‐C. Jay Kuo

Deep learning recognition approaches can potentially perform better if we can extract a discriminative representation that controllably separates nuisance factors. In this paper, we propose a novel approach to explicitly enforce the extracted discriminative representation d, extracted latent variation l (e,g., background, …

us, hk (code pays fourni par la source)

Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation

Xiaofeng Liu, Fangxu Xing, Chao Yang, Georges El Fakhri et autres

us, il (code pays fourni par la source)

One-Shot Domain Adaptation For Face Generation

Chao Yang, Ser-Nam Lim

In this paper, we propose a framework capable of generating face images that fall into the same distribution as that of a given one-shot example. We leverage a pre-trained StyleGAN model that already learned the generic face distribution. Given the one-shot target, …

il (code pays fourni par la source)