Search Results for author: Yi Guo

Found 49 papers, 17 papers with code

Slot Attention with Value Normalization for Multi-Domain Dialogue State Tracking

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

Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond

no code implementations6 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.

How Curvature Enhance the Adaptation Power of Framelet GCNs

1 code implementation19 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.

Graph Classification

Frameless Graph Knowledge Distillation

1 code implementation13 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.

Graph Representation Learning Knowledge Distillation

Neural 3D Scene Reconstruction from Multiple 2D Images without 3D Supervision

no code implementations30 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.

3D Scene Reconstruction

Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion

no code implementations25 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.

Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures

no code implementations14 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.

Classification Language Modelling +1

Improved Inner Approximation for Aggregating Power Flexibility in Active Distribution Networks and its Applications

no code implementations3 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.

Decision Making

SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies

no code implementations6 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.

Cloud removal Using Atmosphere Model

no code implementations5 Oct 2022 Yi Guo, Feng Li, Zhuo Wang

Cloud removal is an essential task in remote sensing data analysis.

Cloud Removal

Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data

1 code implementation28 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.


Tractable Data Enriched Distributionally Robust Chance-Constrained CVR

no code implementations7 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.


LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction

1 code implementation1 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.

Click-Through Rate Prediction feature selection

Online Feedback Droop Scheduling in Distribution Grids for Frequency and Local Voltage Control

no code implementations6 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).


Multiple Ancillary Services Provision by Distributed Energy Resources in Active Distribution Networks

no code implementations18 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.

Energy-Efficient Design for a NOMA assisted STAR-RIS Network with Deep Reinforcement Learning

no code implementations30 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.

Reinforcement Learning (RL)

GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization

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.

Model Compression Network Pruning

A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models

no code implementations10 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).

Clinical Relation Extraction Using Transformer-based Models

1 code implementation19 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.

Binary Classification Classification +2

A Discussion On the Validity of Manifold Learning

no code implementations3 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.

Dimensionality Reduction speech-recognition +1

XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI

no code implementations18 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).

Cloud Computing Image Reconstruction

Casting voids in nickel superalloy and the mechanical behaviour under room temperature tensile deformation

no code implementations11 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

A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification

1 code implementation5 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.

Contrastive Learning Person Re-Identification +2

Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets

no code implementations26 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.

Active Learning General Classification

Depth Edge Guided CNNs for Sparse Depth Upsampling

no code implementations23 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.

Emotion Recognition From Gait Analyses: Current Research and Future Directions

no code implementations13 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.

Emotion Recognition

CosmoVAE: Variational Autoencoder for CMB Image Inpainting

1 code implementation31 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.

Image Inpainting

Mining Twitter to Assess the Determinants of Health Behavior towards Human Papillomavirus Vaccination in the United States

no code implementations6 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).

Sparse optimal control of networks with multiplicative noise via policy gradient

1 code implementation28 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.

Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL Segmentation using Deep CNN

no code implementations10 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.

Data-based Distributionally Robust Stochastic Optimal Power Flow, Part II: Case studies

1 code implementation17 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

Data-based Distributionally Robust Stochastic Optimal Power Flow, Part I: Methodologies

1 code implementation17 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

Stochastic Optimal Power Flow Based on Data-Driven Distributionally Robust Optimization

1 code implementation13 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

Tractable Clustering of Data on the Curve Manifold

1 code implementation13 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.


Collaborative Low-Rank Subspace Clustering

1 code implementation13 Apr 2017 Stephen Tierney, Yi Guo, Junbin Gao

In this paper we present Collaborative Low-Rank Subspace Clustering.


Efficient Sparse Subspace Clustering by Nearest Neighbour Filtering

1 code implementation13 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.

Clustering General Classification

Low-rank Multi-view Clustering in Third-Order Tensor Space

no code implementations30 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.

Clustering Multi-view Subspace Clustering

Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices

no code implementations27 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.

Classification General Classification +2

Low-Rank Representation over the Manifold of Curves

no code implementations5 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.

Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds

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.


l1-norm Penalized Orthogonal Forward Regression

no code implementations4 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).


Segmentation of Subspaces in Sequential Data

1 code implementation16 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.


Subspace Clustering for Sequential Data

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.


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