Search Results for author: Fei Xu

Found 23 papers, 2 papers with code

Review of Machine Learning Methods for Additive Manufacturing of Functionally Graded Materials

no code implementations28 Sep 2023 Mohammad Karimzadeh, Aleksandar Vakanski, Fei Xu, Xinchang Zhang

Additive manufacturing has revolutionized the manufacturing of complex parts by enabling direct material joining and offers several advantages such as cost-effective manufacturing of complex parts, reducing manufacturing waste, and opening new possibilities for manufacturing automation.

AGFormer: Efficient Graph Representation with Anchor-Graph Transformer

no code implementations12 May 2023 Bo Jiang, Fei Xu, Ziyan Zhang, Jin Tang, Feiping Nie

To alleviate the local receptive issue of GCN, Transformers have been exploited to capture the long range dependences of nodes for graph data representation and learning.

Soft Sensing Regression Model: from Sensor to Wafer Metrology Forecasting

no code implementations21 Jan 2023 Angzhi Fan, Yu Huang, Fei Xu, Sthitie Bom

The semiconductor industry is one of the most technology-evolving and capital-intensive market sectors.

Fault Detection regression +1

Advanced Characterization-Informed Framework and Quantitative Insight to Irradiated Annular U-10Zr Metallic Fuels

no code implementations17 Oct 2022 Fei Xu, Lu Cai, Daniele Salvato, Fidelma Dilemma, Luca Capriotti, Tiankai Yao

Conclusive findings were obtained and allowed for evaluation of the lanthanide transportation through connected bubbles based on approximately 67, 000 fission gas bubbles of the two advanced samples.

Backward bifurcation and saddle-node bifurcation in virus-immune dynamics

no code implementations1 Dec 2021 Tengfei Wang, Shaoli Wang, Fei Xu

The values of backward bifurcation point and saddle node bifurcation point are the elite control threshold and post-treatment control threshold respectively.

Multimodal Dialogue Response Generation

no code implementations ACL 2022 Qingfeng Sun, Yujing Wang, Can Xu, Kai Zheng, Yaming Yang, Huang Hu, Fei Xu, Jessica Zhang, Xiubo Geng, Daxin Jiang

In such a low-resource setting, we devise a novel conversational agent, Divter, in order to isolate parameters that depend on multimodal dialogues from the entire generation model.

Dialogue Generation Response Generation +1

Completeness of the induced cotorsion pairs in functor categories

no code implementations11 Feb 2021 Zhenxing Di, Liping Li, Li Liang, Fei Xu

This paper focuses on a question raised by Holm and J{\o}rgensen, who asked if the induced cotorsion pairs $(\Phi({\sf X}),\Phi({\sf X})^{\perp})$ and $(^{\perp}\Psi({\sf Y}),\Psi({\sf Y}))$ in $\mathrm{Rep}(Q,{\sf{A}})$ -- the category of all $\sf{A}$-valued representations of a quiver $Q$ -- are complete whenever $(\sf X,\sf Y)$ is a complete cotorsion pair in an abelian category $\sf{A}$ satisfying some mild conditions.

Representation Theory K-Theory and Homology

Breast Anatomy Enriched Tumor Saliency Estimation

no code implementations23 Oct 2019 Fei Xu, Yingtao Zhang, Min Xian, H. D. Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang

Then we refine the layers by integrating a non-semantic breast anatomy model to solve the problems of incomplete mammary layers.

Anatomy Saliency Prediction

Tumor Saliency Estimation for Breast Ultrasound Images via Breast Anatomy Modeling

no code implementations18 Jun 2019 Fei Xu, Yingtao Zhang, Min Xian, H. D. Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang

First, we model breast anatomy and decompose breast ultrasound image into layers using Neutro-Connectedness; then utilize the layers to generate the foreground and background maps; and finally propose a novel objective function to estimate the tumor saliency by integrating the foreground map, background map, adaptive center bias, and region-based correlation cues.

Anatomy Saliency Prediction

A Hybrid Framework for Tumor Saliency Estimation

no code implementations27 Jun 2018 Fei Xu, Min Xian, Yingtao Zhang, Kuan Huang, H. D. Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang

Automatic tumor segmentation of breast ultrasound (BUS) image is quite challenging due to the complicated anatomic structure of breast and poor image quality.

Saliency Prediction Tumor Segmentation

BUSIS: A Benchmark for Breast Ultrasound Image Segmentation

1 code implementation9 Jan 2018 Min Xian, Yingtao Zhang, H. D. Cheng, Fei Xu, Kuan Huang, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang

Breast ultrasound (BUS) image segmentation is challenging and critical for BUS Comput-er-Aided Diagnosis (CAD) systems.

Image Segmentation Tumor Segmentation

Neutro-Connectedness Cut

no code implementations19 Dec 2015 Min Xian, Yingtao Zhang, H. D. Cheng, Fei Xu, Jianrui Ding

Interactive image segmentation is a challenging task and receives increasing attention recently; however, two major drawbacks exist in interactive segmentation approaches.

Image Segmentation Interactive Segmentation +1

Individuation, Identification and Object Discovery

no code implementations NeurIPS 2009 Charles Kemp, Alan Jern, Fei Xu

Humans are typically able to infer how many objects their environment contains and to recognize when the same object is encountered twice.

Object Discovery

A rational model of preference learning and choice prediction by children

no code implementations NeurIPS 2008 Christopher G. Lucas, Thomas L. Griffiths, Fei Xu, Christine Fawcett

Young children demonstrate the ability to make inferences about the preferences of other agents based on their choices.

An ideal observer model of infant object perception

no code implementations NeurIPS 2008 Charles Kemp, Fei Xu

Before the age of 4 months, infants make inductive inferences about the motions of physical objects.

Cannot find the paper you are looking for? You can Submit a new open access paper.