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 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 • 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, Yi Guo, Victor C. M. Leung, Jun Cheng, Bin Hu
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
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 • 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 • 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, 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.
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.
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.