1 code implementation • Findings (NAACL) 2022 • Jpliu@wtu.edu.cn Jpliu@wtu.edu.cn, Shijie Mei, Xinrong Hu, Xun Yao, Jack Yang, Yi Guo
Given a context knowledge base (KB) and a corresponding question, the Knowledge Base Question Answering task aims to retrieve correct answer entities from this KB.
no code implementations • EMNLP 2020 • Yexiang Wang, Yi Guo, Siqi Zhu
Moreover, we supplement the annotation of supporting span for MultiWOZ 2. 1, which is the shortest span in utterances to support the labeled value.
Dialogue State Tracking
Multi-domain Dialogue State Tracking
no code implementations • 6 Sep 2023 • Zhiqi Shao, Dai Shi, Andi Han, Yi Guo, Qibin Zhao, Junbin Gao
To explore more flexible filtering conditions, we further generalize MHKG into a model termed G-MHKG and thoroughly show the roles of each element in controlling over-smoothing, over-squashing and expressive power.
1 code implementation • 19 Jul 2023 • Dai Shi, Yi Guo, Zhiqi Shao, Junbin Gao
Motivated by the geometric analogy of Ricci curvature in the graph setting, we prove that by inserting the curvature information with different carefully designed transformation function $\zeta$, several known computational issues in GNN such as over-smoothing can be alleviated in our proposed model.
1 code implementation • 13 Jul 2023 • Dai Shi, Zhiqi Shao, Yi Guo, Junbin Gao
Knowledge distillation (KD) has shown great potential for transferring knowledge from a complex teacher model to a simple student model in which the heavy learning task can be accomplished efficiently and without losing too much prediction accuracy.
no code implementations • 30 Jun 2023 • Yi Guo, Che Sun, Yunde Jia, Yuwei Wu
We improve the reconstruction quality of complex geometry scene regions with sparse depth obtained by using the geometric constraints.
no code implementations • 25 May 2023 • Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao
We conduct a convergence analysis on pL-UFG, addressing the gap in the understanding of its asymptotic behaviors.
1 code implementation • 22 May 2023 • Cheng Peng, Xi Yang, Aokun Chen, Kaleb E Smith, Nima PourNejatian, Anthony B Costa, Cheryl Martin, Mona G Flores, Ying Zhang, Tanja Magoc, Gloria Lipori, Duane A Mitchell, Naykky S Ospina, Mustafa M Ahmed, William R Hogan, Elizabeth A Shenkman, Yi Guo, Jiang Bian, Yonghui Wu
This study provides insights on the opportunities and challenges of LLMs for medical research and healthcare.
no code implementations • 14 Mar 2023 • Aokun Chen, Zehao Yu, Xi Yang, Yi Guo, Jiang Bian, Yonghui Wu
Materials and methods: We developed NLP systems for medication mention extraction, event classification (indicating medication changes discussed or not), and context classification to classify medication changes context into 5 orthogonal dimensions related to drug changes.
no code implementations • 3 Mar 2023 • Yilin Wen, Zechun Hu, Jinhua He, Yi Guo
Concise and reliable modeling for aggregating power flexibility of distributed energy resources in active distribution networks (ADNs) is a crucial technique for coordinating transmission and distribution networks.
no code implementations • 6 Dec 2022 • Zehao Yu, Xi Yang, Chong Dang, Prakash Adekkanattu, Braja Gopal Patra, Yifan Peng, Jyotishman Pathak, Debbie L. Wilson, Ching-Yuan Chang, Wei-Hsuan Lo-Ciganic, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu
Objective: We aim to develop an open-source natural language processing (NLP) package, SODA (i. e., SOcial DeterminAnts), with pre-trained transformer models to extract social determinants of health (SDoH) for cancer patients, examine the generalizability of SODA to a new disease domain (i. e., opioid use), and evaluate the extraction rate of SDoH using cancer populations.
no code implementations • 5 Oct 2022 • Yi Guo, Feng Li, Zhuo Wang
Cloud removal is an essential task in remote sensing data analysis.
1 code implementation • 28 Aug 2022 • Mengyun Qiao, Berke Doga Basaran, Huaqi Qiu, Shuo Wang, Yi Guo, Yuanyuan Wang, Paul M. Matthews, Daniel Rueckert, Wenjia Bai
Understanding the morphological and functional changes of the heart during ageing is a key scientific question, the answer to which will help us define important risk factors of cardiovascular disease and monitor disease progression.
no code implementations • 7 Jul 2022 • Qianzhi Zhang, Fankun Bu, Yi Guo, Zhaoyu Wang
To better consider the impacts of load and PV generation uncertainties on CVR implementation in distribution systems and provide less conservative solutions, this paper develops a data-based DRCC-CVR model with tractable reformulation and data enrichment method.
1 code implementation • 1 Jun 2022 • Yi Guo, Zhaocheng Liu, Jianchao Tan, Chao Liao, Sen yang, Lei Yuan, Dongying Kong, Zhi Chen, Ji Liu
When training is finished, some gates are exact zero, while others are around one, which is particularly favored by the practical hot-start training in the industry, due to no damage to the model performance before and after removing the features corresponding to exact-zero gates.
no code implementations • 6 Apr 2022 • Ognjen Stanojev, Yi Guo, Gabriela Hug
This paper presents a novel framework for collective control of Distributed Energy Resources (DERs) in active Distribution Networks (DNs).
no code implementations • 18 Feb 2022 • Ognjen Stanojev, Yi Guo, Petros Aristidou, Gabriela Hug
The electric power system is currently experiencing radical changes stemming from the increasing share of renewable energy resources and the consequent decommissioning of conventional power plants based on synchronous generators.
no code implementations • CVPR 2022 • Che Sun, Yunde Jia, Yi Guo, Yuwei Wu
We propose a novel method of registering less-overlap RGB-D scans.
no code implementations • 30 Nov 2021 • Yi Guo, Fang Fang, Donghong Cai, Zhiguo Ding
Simultaneous transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs) has been considered as a promising auxiliary device to enhance the performance of the wireless network, where users located at the different sides of the surfaces can be simultaneously served by the transmitting and reflecting signals.
no code implementations • ICCV 2021 • Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen yang, Ji Liu
During the training process, the polarization effect will drive a subset of gates to smoothly decrease to exact zero, while other gates gradually stay away from zero by a large margin.
no code implementations • 10 Aug 2021 • Zehao Yu, Xi Yang, Chong Dang, Songzi Wu, Prakash Adekkanattu, Jyotishman Pathak, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu
In this study, we examined two state-of-the-art transformer-based NLP models, including BERT and RoBERTa, to extract SBDoH concepts from clinical narratives, applied the best performing model to extract SBDoH concepts on a lung cancer screening patient cohort, and examined the difference of SBDoH information between NLP extracted results and structured EHRs (SBDoH information captured in standard vocabularies such as the International Classification of Diseases codes).
1 code implementation • 19 Jul 2021 • Xi Yang, Zehao Yu, Yi Guo, Jiang Bian, Yonghui Wu
The goal of this study is to systematically explore three widely used transformer-based models (i. e., BERT, RoBERTa, and XLNet) for clinical relation extraction and develop an open-source package with clinical pre-trained transformer-based models to facilitate information extraction in the clinical domain.
no code implementations • 3 Jun 2021 • Dai Shi, Andi Han, Yi Guo, Junbin Gao
In this work, we investigate the validity of learning results of some widely used DR and ManL methods through the chart mapping function of a manifold.
no code implementations • 18 Apr 2021 • Yirong Zhou, Chen Qian, Yi Guo, Zi Wang, Jian Wang, Biao Qu, Di Guo, Yongfu You, Xiaobo Qu
Machine learning and artificial intelligence have shown remarkable performance in accelerated magnetic resonance imaging (MRI).
no code implementations • 11 Jan 2021 • Zhuocheng Xu, Ben Britton, Yi Guo
The volume fraction of the voids increases to 0. 21 (+-0. 001) vol% after tensile deformation.
Materials Science
1 code implementation • 5 Sep 2020 • Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Yi Guo, Jun Cheng, Xinwang Liu, Bin Hu
This paper proposes a self-supervised gait encoding approach that can leverage unlabeled skeleton data to learn gait representations for person Re-ID.
no code implementations • 26 Mar 2020 • Yunpeng Zhao, Mattia Prosperi, Tianchen Lyu, Yi Guo, Jiang Bian
Results show that crowdsourcing is useful to create high-quality annotations and active learning helps in reducing the number of required tweets, although there was no substantial difference among the strategies tested.
no code implementations • 23 Mar 2020 • Yi Guo, Ji Liu
Inspired by the normalized convolution operation, we propose a guided convolutional layer to recover dense depth from sparse and irregular depth image with an depth edge image as guidance.
no code implementations • 13 Mar 2020 • Shihao Xu, Jing Fang, Xiping Hu, Edith Ngai, Wei Wang, Yi Guo, Victor C. M. Leung
This article reviews current research on gait-based emotion detection, particularly on how gait parameters can be affected by different emotion states and how the emotion states can be recognized through distinct gait patterns.
1 code implementation • 31 Jan 2020 • Kai Yi, Yi Guo, Yanan Fan, Jan Hamann, Yu Guang Wang
The noise of the CMB map has a significant impact on the estimation precision for cosmological parameters.
no code implementations • 6 Jul 2019 • Hansi Zhang, Christopher Wheldon, Adam G. Dunn, Cui Tao, Jinhai Huo, Rui Zhang, Mattia Prosperi, Yi Guo, Jiang Bian
We applied topic modeling to discover major themes, and subsequently explored the associations between the topics learned from consumers' discussions and the responses of HPV-related questions in the Health Information National Trends Survey (HINTS).
1 code implementation • 28 May 2019 • Benjamin Gravell, Yi Guo, Tyler Summers
We give algorithms for designing near-optimal sparse controllers using policy gradient with applications to control of systems corrupted by multiplicative noise, which is increasingly important in emerging complex dynamical networks.
no code implementations • 22 May 2019 • Francois Modave, Yunpeng Zhao, Janice Krieger, Zhe He, Yi Guo, Jinhai Huo, Mattia Prosperi, Jiang Bian
Among American women, the rate of breast cancer is only second to lung cancer.
no code implementations • 7 Apr 2019 • Ramy Hussein, Mohamed Osama Ahmed, Rabab Ward, Z. Jane Wang, Levin Kuhlmann, Yi Guo
2) The traditional PCA is not a reliable method for iEEG data reduction in seizure prediction.
no code implementations • 10 Dec 2018 • Hung P. Do, Yi Guo, Andrew J. Yoon, Krishna S. Nayak
PURPOSE: To apply deep CNN to the segmentation task in myocardial arterial spin labeled (ASL) perfusion imaging and to develop methods that measure uncertainty and that adapt the CNN model to a specific false positive vs. false negative tradeoff.
1 code implementation • 17 Apr 2018 • Yi Guo, Kyri Baker, Emiliano Dall'Anese, Zechun Hu, Tyler H. Summers
Here, we present extensive numerical experiments in both distribution and transmission networks to illustrate the effectiveness and flexibility of the proposed methodology for balancing efficiency, constraint violation risk, and out-of-sample performance.
Optimization and Control Systems and Control
1 code implementation • 17 Apr 2018 • Yi Guo, Kyri Baker, Emiliano Dall'Anese, Zechun Hu, Tyler H. Summers
We propose a data-based method to solve a multi-stage stochastic optimal power flow (OPF) problem based on limited information about forecast error distributions.
Optimization and Control Systems and Control
1 code implementation • 13 Jun 2017 • Yi Guo, Kyri Baker, Emiliano Dall'Anese, Zechun Hu, Tyler Summers
We propose a data-driven method to solve a stochastic optimal power flow (OPF) problem based on limited information about forecast error distributions.
Optimization and Control Systems and Control
1 code implementation • 13 Apr 2017 • Stephen Tierney, Junbin Gao, Yi Guo, Zheng Zhang
However the data may actually be functional i. e.\ each data point is a function of some variable such as time and the function is discretely sampled.
1 code implementation • 13 Apr 2017 • Stephen Tierney, Yi Guo, Junbin Gao
In this paper we present Collaborative Low-Rank Subspace Clustering.
1 code implementation • 13 Apr 2017 • Stephen Tierney, Yi Guo, Junbin Gao
Sparse Subspace Clustering (SSC) has been used extensively for subspace identification tasks due to its theoretical guarantees and relative ease of implementation.
no code implementations • 30 Aug 2016 • Ming Yin, Junbin Gao, Shengli Xie, Yi Guo
Multi-view subspace clustering is based on the fact that the multi-view data are generated from a latent subspace.
no code implementations • 27 Jan 2016 • Ming Yin, Shengli Xie, Yi Guo, Junbin Gao, Yun Zhang
Due to its promising classification performance, sparse representation based classification(SRC) algorithm has attracted great attention in the past few years.
no code implementations • 15 Jan 2016 • Junbin Gao, Yi Guo, Zhiyong Wang
This process can be problematic.
no code implementations • 5 Jan 2016 • Stephen Tierney, Junbin Gao, Yi Guo, Zhengwu Zhang
However the data may actually be functional i. e.\ each data point is a function of some variable such as time and the function is discretely sampled.
no code implementations • CVPR 2016 • Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie
Sparse subspace clustering (SSC), as one of the most successful subspace clustering methods, has achieved notable clustering accuracy in computer vision tasks.
no code implementations • 4 Sep 2015 • Xia Hong, Sheng Chen, Yi Guo, Junbin Gao
A l1-norm penalized orthogonal forward regression (l1-POFR) algorithm is proposed based on the concept of leaveone- out mean square error (LOOMSE).
1 code implementation • 16 Apr 2015 • Stephen Tierney, Yi Guo, Junbin Gao
We propose Ordered Subspace Clustering (OSC) to segment data drawn from a sequentially ordered union of subspaces.
no code implementations • CVPR 2014 • Stephen Tierney, Junbin Gao, Yi Guo
We propose Ordered Subspace Clustering (OSC) to segment data drawn from a sequentially ordered union of subspaces.