no code implementations • 24 May 2023 • Zefan Cai, Xin Zheng, Tianyu Liu, Xu Wang, Haoran Meng, Jiaqi Han, Gang Yuan, Binghuai Lin, Baobao Chang, Yunbo Cao
In the constant updates of the product dialogue systems, we need to retrain the natural language understanding (NLU) model as new data from the real users would be merged into the existent data accumulated in the last updates.
no code implementations • 8 May 2023 • Yanna Jiang, Baihe Ma, Xu Wang, Ping Yu, Guangsheng Yu, Zhe Wang, Wei Ni, Ren Ping Liu
The demand for intelligent industries and smart services based on big data is rising rapidly with the increasing digitization and intelligence of the modern world.
no code implementations • 4 May 2023 • Xu Wang, Jun Ma, Jing Li
Coronary CT angiography (CCTA) scans are widely used for diagnosis of coronary artery diseases.
1 code implementation • 13 Feb 2023 • Xu Wang, Dezhong Peng, Ming Yan, Peng Hu
Thanks to the ISS and CCA, our method could encode the discrimination into the domain-invariant embedding space for unsupervised cross-domain image retrieval.
no code implementations • 27 Jan 2023 • Xu Wang, Pengfei Gu, Pengkun Wang, Binwu Wang, Zhengyang Zhou, Lei Bai, Yang Wang
In this paper, with extensive and deep-going experiments, we comprehensively analyze existing spatiotemporal graph learning models and reveal that extracting adjacency matrices with carefully design strategies, which are viewed as the key of enhancing performance on graph learning, are largely ineffective.
no code implementations • 19 Jan 2023 • Shizun Wang, Weihong Zeng, Xu Wang, Hao Yang, Li Chen, Yi Yuan, Yunzhao Zeng, Min Zheng, Chuang Zhang, Ming Wu
To this end, we propose SwiftAvatar, a novel avatar auto-creation framework that is evidently superior to previous works.
no code implementations • 7 Jan 2023 • Guangsheng Yu, Xu Wang, Caijun Sun, Qin Wang, Ping Yu, Wei Ni, Ren Ping Liu, Xiwei Xu
Federated learning (FL) provides an effective machine learning (ML) architecture to protect data privacy in a distributed manner.
no code implementations • 14 Dec 2022 • Xin Zheng, Tianyu Liu, Haoran Meng, Xu Wang, Yufan Jiang, Mengliang Rao, Binghuai Lin, Zhifang Sui, Yunbo Cao
Harvesting question-answer (QA) pairs from customer service chatlog in the wild is an efficient way to enrich the knowledge base for customer service chatbots in the cold start or continuous integration scenarios.
no code implementations • 15 Nov 2022 • Jiali Zeng, Yufan Jiang, Yongjing Yin, Xu Wang, Binghuai Lin, Yunbo Cao
We present DualNER, a simple and effective framework to make full use of both annotated source language corpus and unlabeled target language text for zero-shot cross-lingual named entity recognition (NER).
1 code implementation • 31 Oct 2022 • Ling Sun, Guiqiong Liu, Xunping Jiang, Junrui Liu, Xu Wang, Han Yang, Shiping Yang
However, there is no study on normalizing of the animal face image with arbitrary directions.
no code implementations • 20 Sep 2022 • Haohong Liao, Silin Zheng, Xuelin Shen, Mark Junjie Li, Xu Wang
However, according to our investigation, the lacking of datasets focusing on real-world application scenarios limits the further improvements for current learning-based MTMCT models.
1 code implementation • 16 Sep 2022 • Jinlong Li, Zequn Jie, Xu Wang, Xiaolin Wei, Lin Ma
To tackle with this issue, this paper proposes an Expansion and Shrinkage scheme based on the offset learning in the deformable convolution, to sequentially improve the recall and precision of the located object in the two respective stages.
Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation
1 code implementation • 16 Sep 2022 • Jinlong Li, Zequn Jie, Xu Wang, Yu Zhou, Xiaolin Wei, Lin Ma
"Progressive Patch Learning" further extends the feature destruction and patch learning to multi-level granularities in a progressive manner.
Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation
no code implementations • COLING 2022 • Tianyi Lei, Honghui Hu, Qiaoyang Luo, Dezhong Peng, Xu Wang
To address this issue, we propose a novel Adaptive Meta-learner via Gradient Similarity (AMGS) method to improve the model generalization ability to a new task.
no code implementations • 8 Aug 2022 • Longzhao Huang, Yujie Li, Xu Wang, Haoyu Wang, Ahmed Bouridane, Ahmad Chaddad
We propose a differential residual model (DRNet) combined with a new loss function to make use of the difference information of two eye images.
1 code implementation • 13 Jul 2022 • Xu Wang, Huan Zhao, Lanning Wei, Quanming Yao
Aiming at two molecular graph datasets and one protein association subgraph dataset in OGB graph classification task, we design a graph neural network framework for graph classification task by introducing PAS(Pooling Architecture Search).
1 code implementation • NAACL 2022 • Xu Wang, Simin Fan, Jessica Houghton, Lu Wang
NLP-powered automatic question generation (QG) techniques carry great pedagogical potential of saving educators' time and benefiting student learning.
no code implementations • 8 Mar 2022 • Yinghui Tao, Min Gao, Junliang Yu, Zongwei Wang, Qingyu Xiong, Xu Wang
To explore recommendation-specific auxiliary tasks, we first quantitatively analyze the heterogeneous interaction data and find a strong positive correlation between the interactions and the number of user-item paths induced by meta-paths.
no code implementations • 1 Mar 2022 • Tianjiao Jiang, Yi Jin, Tengfei Liang, Xu Wang, Yidong Li
Image semantic segmentation aims at the pixel-level classification of images, which has requirements for both accuracy and speed in practical application.
no code implementations • 20 Feb 2022 • Pingping Zhang, Xu Wang, Linwei Zhu, Yun Zhang, Shiqi Wang, Sam Kwong
In this paper, we propose a distortion-aware loop filtering model to improve the performance of intra coding for 360$^o$ videos projected via equirectangular projection (ERP) format.
no code implementations • 13 Feb 2022 • Xu Wang, Yi Jin, Yigang Cen, Tao Wang, Bowen Tang, Yidong Li
Compared with traditional task-irrelevant downsampling methods, task-oriented neural networks have shown improved performance in point cloud downsampling range.
no code implementations • 5 Feb 2022 • Ching-Chun Chang, Xu Wang, Sisheng Chen, Hitoshi Kiya, Isao Echizen
The core strength of neural networks is the ability to render accurate predictions for a bewildering variety of data.
no code implementations • 14 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.
no code implementations • 4 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.
1 code implementation • CVPR 2022 • Wenhui Wu, Jian Weng, Pingping Zhang, Xu Wang, Wenhan Yang, Jianmin Jiang
Retinex model-based methods have shown to be effective in layer-wise manipulation with well-designed priors for low-light image enhancement.
no code implementations • 23 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.
no code implementations • 26 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.
no code implementations • 9 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.
no code implementations • 29 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.
1 code implementation • 23 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.
no code implementations • 23 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.
no code implementations • 23 Sep 2021 • Xu Wang, Yuyan Li, Ye Duan
Each layer has two parallel branches, namely the voxel branch and the point branch.
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.
no code implementations • 22 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.
2 code implementations • 26 Aug 2021 • Xingkui Zhu, Shuchang Lyu, Xu Wang, Qi Zhao
Object detection on drone-captured scenarios is a recent popular task.
no code implementations • 13 Jun 2021 • Ching-Chun Chang, Xu Wang, Sisheng Chen, Isao Echizen, Victor Sanchez, Chang-Tsun Li
Given that reversibility is governed independently by the coding module, we narrow our focus to the incorporation of neural networks into the analytics module, which serves the purpose of predicting pixel intensities and a pivotal role in determining capacity and imperceptibility.
no code implementations • 17 May 2021 • Etienne David, Mario Serouart, Daniel Smith, Simon Madec, Kaaviya Velumani, Shouyang Liu, Xu Wang, Francisco Pinto Espinosa, Shahameh Shafiee, Izzat S. A. Tahir, Hisashi Tsujimoto, Shuhei Nasuda, Bangyou Zheng, Norbert Kichgessner, Helge Aasen, Andreas Hund, Pouria Sadhegi-Tehran, Koichi Nagasawa, Goro Ishikawa, Sébastien Dandrifosse, Alexis Carlier, Benoit Mercatoris, Ken Kuroki, Haozhou Wang, Masanori Ishii, Minhajul A. Badhon, Curtis Pozniak, David Shaner LeBauer, Morten Lilimo, Jesse Poland, Scott Chapman, Benoit de Solan, Frédéric Baret, Ian Stavness, Wei Guo
We now release a new version of the Global Wheat Head Detection (GWHD) dataset in 2021, which is bigger, more diverse, and less noisy than the 2020 version.
no code implementations • 5 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.
no code implementations • 1 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.
no code implementations • 22 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.
no code implementations • 8 Feb 2021 • Abudushataer Kuerban, Yong-Feng Huang, Jin-Jun Geng, Bing Li, Fan Xu, Xu Wang
Fast radio bursts (FRBs) are mysterious transient phenomena.
High Energy Astrophysical Phenomena
no code implementations • COLING 2020 • Xu Wang, Shuai Zhao, Jiale Han, Bo Cheng, Hao Yang, Jianchang Ao, Zhenzi Li
The structural information of Knowledge Bases (KBs) has proven effective to Question Answering (QA).
no code implementations • Findings of the Association for Computational Linguistics 2020 • Jiale Han, Bo Cheng, Xu Wang
The incompleteness of knowledge base (KB) is a vital factor limiting the performance of question answering (QA).
no code implementations • 22 Oct 2020 • Hong Shen, Wesley Hanwen 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.
1 code implementation • 15 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.
no code implementations • 13 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).
1 code implementation • 28 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.
no code implementations • 17 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.
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.
1 code implementation • 10 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.
no code implementations • 31 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.
2 code implementations • 25 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.
no code implementations • 29 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.
no code implementations • 12 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.
no code implementations • 14 Dec 2018 • Xin Yang, Na Wang, Yi Wang, Xu Wang, Reza Nezafat, Dong Ni, Pheng-Ann Heng
In this paper, we propose a fully-automated framework to segment left atrium in gadolinium-enhanced MR volumes.
no code implementations • 18 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.
no code implementations • 28 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.
no code implementations • 27 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.
no code implementations • 1 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 $M$.