research
∙
05/12/2023
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer
To alleviate the local receptive issue of GCN, Transformers have been ex...
share
research
∙
03/09/2023
CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation
The click-based interactive segmentation aims to extract the object of i...
research
∙
01/21/2023
Soft Sensing Regression Model: from Sensor to Wafer Metrology Forecasting
The semiconductor industry is one of the most technology-evolving and ca...
research
∙
11/03/2022
iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud
GPUs are essential to accelerating the latency-sensitive deep neural net...
research
∙
10/17/2022
Advanced Characterization-Informed Framework and Quantitative Insight to Irradiated Annular U-10Zr Metallic Fuels
U-10Zr-based metallic nuclear fuel is a promising fuel candidate for nex...
research
∙
04/12/2022
Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting
Current Knowledge-Grounded Dialogue Generation (KDG) models specialize i...
research
∙
02/24/2022
An Efficient Adaptive Finite Element Method for Eigenvalue Problems
The aim of this paper is to propose an efficient adaptive finite element...
research
∙
10/16/2021
Multimodal Dialogue Response Generation
Responsing with image has been recognized as an important capability for...
research
∙
10/03/2021
Adversarial Examples Generation for Reducing Implicit Gender Bias in Pre-trained Models
Over the last few years, Contextualized Pre-trained Neural Language Mode...
research
∙
04/12/2021
Understanding Fission Gas Bubble Distribution, Lanthanide Transportation, and Thermal Conductivity Degradation in Neutron-irradiated α-U Using Machine Learning
UZr based metallic nuclear fuel is the leading candidate for next-genera...
research
∙
03/04/2021
On accelerating a multilevel correction adaptive finite element method for Kohn-Sham equation
Based on the numerical method proposed in [G. Hu, X. Xie, F. Xu, J. Comp...
research
∙
10/23/2019
Breast Anatomy Enriched Tumor Saliency Estimation
Breast cancer investigation is of great significance, and developing tum...
research
∙
08/27/2019
An Eigenwise Parallel Augmented Subspace Method for Eigenvalue Problems
A type of parallel augmented subspace scheme for eigenvalue problems is ...
research
∙
06/18/2019
Tumor Saliency Estimation for Breast Ultrasound Images via Breast Anatomy Modeling
Tumor saliency estimation aims to localize tumors by modeling the visual...
research
∙
06/27/2018
A Hybrid Framework for Tumor Saliency Estimation
Automatic tumor segmentation of breast ultrasound (BUS) image is quite c...
research
∙
01/09/2018
A Benchmark for Breast Ultrasound Image Segmentation (BUSIS)
Breast ultrasound (BUS) image segmentation is challenging and critical f...
research
∙
04/04/2017
Automatic Breast Ultrasound Image Segmentation: A Survey
Breast cancer is one of the leading causes of cancer death among women w...
research
∙
12/19/2015