Search Results for author: Xu Wang

Found 37 papers, 7 papers with code

A Semantic Web Technology Index

no code implementations14 Jan 2022 Gongjin Lan, Ting Liu, Xu Wang, Xueli Pan, Zhisheng Huang

In this paper, we propose an SW technology index to standardize the development for ensuring that the work of SW technology is designed well and to quantitatively evaluate the quality of the work in SW technology.

Graph Neural Networks for Double-Strand DNA Breaks Prediction

no code implementations4 Jan 2022 Xu Wang, Huan Zhao, WeiWei Tu, Hao Li, Yu Sun, Xiaochen Bo

Double-strand DNA breaks (DSBs) are a form of DNA damage that can cause abnormal chromosomal rearrangements.

Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network

no code implementations23 Dec 2021 Jun Wan, Hui Xi, Jie zhou, Zhihui Lai, Witold Pedrycz, Xu Wang, Hang Sun

We show that by integrating the BALI fields and SCPA model into a novel self-calibrated pose attention network, more facial prior knowledge can be learned and the detection accuracy and robustness of our method for faces with large poses and heavy occlusions have been improved.

Facial Landmark Detection

Multi-Faceted Hierarchical Multi-Task Learning for a Large Number of Tasks with Multi-dimensional Relations

no code implementations26 Oct 2021 Junning Liu, Zijie Xia, Yu Lei, Xinjian Li, Xu Wang

For example, when using MTL to model various user behaviors in RS, if we differentiate new users and new items from old ones, there will be a cartesian product style increase of tasks with multi-dimensional relations.

Multi-Task Learning Recommendation Systems

A Feature Consistency Driven Attention Erasing Network for Fine-Grained Image Retrieval

no code implementations9 Oct 2021 Qi Zhao, Xu Wang, Shuchang Lyu, Binghao Liu, Yifan Yang

To handle these two issues, we propose a feature consistency driven attention erasing network (FCAENet) for fine-grained image retrieval.

Image Retrieval

DRAN: Detailed Region-Adaptive Normalization for Conditional Image Synthesis

no code implementations29 Sep 2021 Yueming Lyu, Peibin Chen, Jingna Sun, Xu Wang, Jing Dong, Tieniu Tan

To evaluate the effectiveness and generalization ability of DRAN, we conduct a set of experiments on makeup transfer and semantic image synthesis.

Facial Makeup Transfer Image Generation +1

Joint Estimation and Inference for Multi-Experiment Networks of High-Dimensional Point Processes

1 code implementation23 Sep 2021 Xu Wang, Ali Shojaie

Modern high-dimensional point process data, especially those from neuroscience experiments, often involve observations from multiple conditions and/or experiments.

Point Processes

SPNet: Multi-Shell Kernel Convolution for Point Cloud Semantic Segmentation

no code implementations23 Sep 2021 Yuyan Li, Chuanmao Fan, Xu Wang, Ye Duan

Experimental results show that SPConv is effective in local shape encoding, and our SPNet is able to achieve top-ranking performances in semantic segmentation tasks.

Semantic Segmentation

Causal Discovery in High-Dimensional Point Process Networks with Hidden Nodes

no code implementations22 Sep 2021 Xu Wang, Ali Shojaie

Thanks to technological advances leading to near-continuous time observations, emerging multivariate point process data offer new opportunities for causal discovery.

Causal Discovery

FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning

no code implementations Findings (EMNLP) 2021 Xu Wang, Hainan Zhang, Shuai Zhao, Yanyan Zou, Hongshen Chen, Zhuoye Ding, Bo Cheng, Yanyan Lan

Furthermore, the consistency signals between each candidate and the speaker's own history are considered to drive a model to prefer a candidate that is logically consistent with the speaker's history logic.

Reading Comprehension

Deep Learning for Predictive Analytics in Reversible Steganography

no code implementations13 Jun 2021 Ching-Chun Chang, Xu Wang, Sisheng Chen, Isao Echizen, Victor Sanchez, Chang-Tsun Li

Context-aware pixel intensity prediction has a central role in reversible steganography and can be perceived as a low-level computer vision task.

On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure

no code implementations5 May 2021 Yunhua Xiang, Tianyu Zhang, Xu Wang, Ali Shojaie, Noah Simon

Originally developed for imputing missing entries in low rank, or approximately low rank matrices, matrix completion has proven widely effective in many problems where there is no reason to assume low-dimensional linear structure in the underlying matrix, as would be imposed by rank constraints.

Matrix Completion

Integrating Subgraph-aware Relation and DirectionReasoning for Question Answering

no code implementations1 Apr 2021 Xu Wang, Shuai Zhao, Bo Cheng, Jiale Han, Yingting Li, Hao Yang, Ivan Sekulic, Guoshun Nan

Question Answering (QA) models over Knowledge Bases (KBs) are capable of providing more precise answers by utilizing relation information among entities.

Question Answering

Attention Models for Point Clouds in Deep Learning: A Survey

no code implementations22 Feb 2021 Xu Wang, Yi Jin, Yigang Cen, Tao Wang, Yidong Li

Recently, the advancement of 3D point clouds in deep learning has attracted intensive research in different application domains such as computer vision and robotic tasks.

3D Pose Estimation 3D Semantic Segmentation

Periodic repeating fast radio bursts: interaction between a magnetized neutron star and its planet in an eccentric orbit

no code implementations8 Feb 2021 Abudushataer Kuerban, Yong-Feng Huang, Jin-Jun Geng, Bing Li, Fan Xu, Xu Wang

The model can naturally explain the repeatability of FRBs with a period ranging from a few days to several hundred days, but it generally requires that the eccentricity of the planet orbit should be large enough.

High Energy Astrophysical Phenomena

Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation

no code implementations22 Oct 2020 Hong Shen, Hanwen Wesley Deng, Aditi Chattopadhyay, Zhiwei Steven Wu, Xu Wang, Haiyi Zhu

In this paper, we present Value Card, an educational toolkit to inform students and practitioners of the social impacts of different machine learning models via deliberation.


Statistical Inference for Networks of High-Dimensional Point Processes

1 code implementation15 Jul 2020 Xu Wang, Mladen Kolar, Ali Shojaie

The key ingredient for this inference procedure is a new concentration inequality on the first- and second-order statistics for integrated stochastic processes, which summarize the entire history of the process.

Point Processes

Automate Obstructive Sleep Apnea Diagnosis Using Convolutional Neural Networks

no code implementations13 Jun 2020 Longlong Feng, Xu Wang

Identifying sleep problem severity from overnight polysomnography (PSG) recordings plays an important role in diagnosing and treating sleep disorders such as the Obstructive Sleep Apnea (OSA).

General Classification

Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes

1 code implementation28 Apr 2020 Xin Yang, Xu Wang, Yi Wang, Haoran Dou, Shengli Li, Huaxuan Wen, Yi Lin, Pheng-Ann Heng, Dong Ni

In this paper, we propose the first fully-automated solution to segment the whole fetal head in US volumes.

A survey of statistical learning techniques as applied to inexpensive pediatric Obstructive Sleep Apnea data

no code implementations17 Feb 2020 Emily T. Winn, Marilyn Vazquez, Prachi Loliencar, Kaisa Taipale, Xu Wang, Giseon Heo

Pediatric obstructive sleep apnea affects an estimated 1-5% of elementary-school aged children and can lead to other detrimental health problems.

Topological Data Analysis

Exploiting Local and Global Structure for Point Cloud Semantic Segmentation with Contextual Point Representations

1 code implementation NeurIPS 2019 Xu Wang, Jingming He, Lin Ma

In this paper, we propose one novel model for point cloud semantic segmentation, which exploits both the local and global structures within the point cloud based on the contextual point representations.

Graph Attention Semantic Segmentation

Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound

1 code implementation10 Oct 2019 Haoran Dou, Xin Yang, Jikuan Qian, Wufeng Xue, Hao Qin, Xu Wang, Lequan Yu, Shujun Wang, Yi Xiong, Pheng-Ann Heng, Dong Ni

In this study, we propose a novel reinforcement learning (RL) framework to automatically localize fetal brain standard planes in 3D US.

Joint Segmentation and Landmark Localization of Fetal Femur in Ultrasound Volumes

no code implementations31 Aug 2019 Xu Wang, Xin Yang, Haoran Dou, Shengli Li, Pheng-Ann Heng, Dong Ni

In this paper, we propose an effective framework for simultaneous segmentation and landmark localization in prenatal ultrasound volumes.

A Survey of Automatic Generation of Source Code Comments: Algorithms and Techniques

2 code implementations25 Jul 2019 Xiaotao Song, Hailong Sun, Xu Wang, Jiafei Yan

Finally, we summarize some future directions for advancing the techniques of automatic generation of code comments and the quality assessment of comments.

Software Engineering

High Sensitivity Snapshot Spectrometer Based on Deep Network Unmixing

no code implementations29 Jun 2019 XiaoYu Chen, Xu Wang, Lianfa Bai, Jing Han, Zhuang Zhao

In this paper, we present a convolution neural network based method to recover the light intensity distribution from the overlapped dispersive spectra instead of adding an extra light path to capture it directly for the first time.

DeepSquare: Boosting the Learning Power of Deep Convolutional Neural Networks with Elementwise Square Operators

no code implementations12 Jun 2019 Sheng Chen, Xu Wang, Chao Chen, Yifan Lu, Xijin Zhang, Linfu Wen

In this paper, we pursue very efficient neural network modules which can significantly boost the learning power of deep convolutional neural networks with negligible extra computational cost.

Coordinating Collaborative Chat in Massive Open Online Courses

no code implementations18 Apr 2017 Gaurav Singh Tomar, Sreecharan Sankaranarayanan, Xu Wang, Carolyn Penstein Rosé

An earlier study of a collaborative chat intervention in a Massive Open Online Course (MOOC) identified negative effects on attrition stemming from a requirement for students to be matched with exactly one partner prior to beginning the activity.

Fast Landmark Subspace Clustering

no code implementations28 Oct 2015 Xu Wang, Gilad Lerman

Kernel methods obtain superb performance in terms of accuracy for various machine learning tasks since they can effectively extract nonlinear relations.

Spectral Convergence Rate of Graph Laplacian

no code implementations27 Oct 2015 Xu Wang

Laplacian Eigenvectors of the graph constructed from a data set are used in many spectral manifold learning algorithms such as diffusion maps and spectral clustering.


Riemannian Multi-Manifold Modeling

no code implementations1 Oct 2014 Xu Wang, Konstantinos Slavakis, Gilad Lerman

This paper advocates a novel framework for segmenting a dataset in a Riemannian manifold $M$ into clusters lying around low-dimensional submanifolds of $M$.

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