Search Results for author: Lei Guo

Found 43 papers, 10 papers with code

An Unsupervised Approach to Discover Media Frames

1 code implementation PoliticalNLP (LREC) 2022 Sha Lai, Yanru Jiang, Lei Guo, Margrit Betke, Prakash Ishwar, Derry Tanti Wijaya

We discuss the effectiveness of our approach by comparing the frames it generates in an unsupervised manner to the domain-expert-derived frames for the issue of gun violence, for which a supervised learning model for frame recognition exists.

Community Detection

BU-NEmo: an Affective Dataset of Gun Violence News

no code implementations LREC 2022 Carley Reardon, Sejin Paik, Ge Gao, Meet Parekh, Yanling Zhao, Lei Guo, Margrit Betke, Derry Tanti Wijaya

As such, we introduce a U. S. gun violence news dataset that contains news headline and image pairings from 840 news articles with 15K high-quality, crowdsourced annotations on emotional responses to the news pairings.

Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage

no code implementations Findings (EMNLP) 2021 Isidora Tourni, Lei Guo, Taufiq Husada Daryanto, Fabian Zhafransyah, Edward Edberg Halim, Mona Jalal, Boqi Chen, Sha Lai, Hengchang Hu, Margrit Betke, Prakash Ishwar, Derry Tanti Wijaya

Such perspectives are called “frames” in communication research. We study, for the first time, the value of combining lead images and their contextual information with text to identify the frame of a given news article.

Multimodal Text and Image Classification News Annotation +1

Asymptotically Efficient Online Learning for Censored Regression Models Under Non-I.I.D Data

no code implementations18 Sep 2023 Lantian Zhang, Lei Guo

The asymptotically efficient online learning problem is investigated for stochastic censored regression models, which arise from various fields of learning and statistics but up to now still lacks comprehensive theoretical studies on the efficiency of the learning algorithms.


Fault Separation Based on An Excitation Operator with Application to a Quadrotor UAV

no code implementations20 Aug 2023 Sicheng Zhou, Meng Wang, Jindou Jia, Kexin Guo, Xiang Yu, Youmin Zhang, Lei Guo

This paper presents an excitation operator based fault separation architecture for a quadrotor unmanned aerial vehicle (UAV) subject to loss of effectiveness (LoE) faults, actuator aging, and load uncertainty.

Joint Device-Edge Digital Semantic Communication with Adaptive Network Split and Learned Non-Linear Quantization

no code implementations22 May 2023 Lei Guo, Wei Chen, Yuxuan Sun, Bo Ai

Semantic communication, an intelligent communication paradigm that aims to transmit useful information in the semantic domain, is facilitated by deep learning techniques.

Image Classification Intelligent Communication +1

Lightweight Self-Knowledge Distillation with Multi-source Information Fusion

1 code implementation16 May 2023 Xucong Wang, Pengchao Han, Lei Guo

Specifically, we introduce a Distillation with Reverse Guidance (DRG) method that considers different levels of information extracted by the model, including edge, shape, and detail of the input data, to construct a more informative teacher.

Self-Knowledge Distillation

ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT

2 code implementations17 Apr 2023 Chong Ma, Zihao Wu, Jiaqi Wang, Shaochen Xu, Yaonai Wei, Zhengliang Liu, Xi Jiang, Lei Guo, Xiaoyan Cai, Shu Zhang, Tuo Zhang, Dajiang Zhu, Dinggang Shen, Tianming Liu, Xiang Li

The 'Impression' section of a radiology report is a critical basis for communication between radiologists and other physicians, and it is typically written by radiologists based on the 'Findings' section.

Automated Prompting for Non-overlapping Cross-domain Sequential Recommendation

no code implementations9 Apr 2023 Lei Guo, Chunxiao Wang, Xinhua Wang, Lei Zhu, Hongzhi Yin

Cross-domain Recommendation (CR) has been extensively studied in recent years to alleviate the data sparsity issue in recommender systems by utilizing different domain information.

Sequential Recommendation

Towards Lightweight Cross-domain Sequential Recommendation via External Attention-enhanced Graph Convolution Network

1 code implementation7 Feb 2023 Jinyu Zhang, Huichuan Duan, Lei Guo, Liancheng Xu, Xinhua Wang

Cross-domain Sequential Recommendation (CSR) is an emerging yet challenging task that depicts the evolution of behavior patterns for overlapped users by modeling their interactions from multiple domains.

Collaborative Filtering Sequential Recommendation

Deep Forest with Hashing Screening and Window Screening

no code implementations25 Jul 2022 Pengfei Ma, Youxi Wu, Yan Li, Lei Guo, He Jiang, Xingquan Zhu, Xindong Wu

To screen out redundant feature vectors, we introduce a hashing screening mechanism for multi-grained scanning and propose a model called HW-Forest which adopts two strategies, hashing screening and window screening.

Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model

no code implementations14 Jul 2022 Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhang

Here, we propose an interpretable hierarchical signed graph representation learning model to extract graph-level representations from brain functional networks, which can be used for different prediction tasks.

Contrastive Learning Graph Learning +1

Adaptive Identification with Guaranteed Performance Under Saturated-Observation and Non-Persistent Excitation

no code implementations6 Jul 2022 Lantian Zhang, Lei Guo

This paper investigates the adaptive identification and prediction problems for stochastic dynamical systems with saturated observations, which arise from various fields in engineering and social systems, but up to now still lack comprehensive theoretical studies including performance guarantees needed in practical applications.

Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation

1 code implementation16 Jun 2022 Lei Guo, Jinyu Zhang, Tong Chen, Xinhua Wang, Hongzhi Yin

Shared-account Cross-domain Sequential Recommendation (SCSR) is an emerging yet challenging task that simultaneously considers the shared-account and cross-domain characteristics in the sequential recommendation.

Hierarchical Reinforcement Learning reinforcement-learning +2

Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation

1 code implementation16 Jun 2022 Lei Guo, Jinyu Zhang, Li Tang, Tong Chen, Lei Zhu, Hongzhi Yin

Shared-account Cross-domain Sequential Recommendation (SCSR) task aims to recommend the next item via leveraging the mixed user behaviors in multiple domains.

Representation Learning Sequential Recommendation +1

Functional2Structural: Cross-Modality Brain Networks Representation Learning

no code implementations6 May 2022 Haoteng Tang, Xiyao Fu, Lei Guo, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex Leow, Paul Thompson, Heng Huang, Liang Zhan

Since brain networks derived from functional and structural MRI describe the brain topology from different perspectives, exploring a representation that combines these cross-modality brain networks is non-trivial.

Disease Prediction Graph Learning +2

OPP-Miner: Order-preserving sequential pattern mining

no code implementations9 Jan 2022 Youxi Wu, Qian Hu, Yan Li, Lei Guo, Xingquan Zhu, Xindong Wu

To discover patterns, existing methods often convert time series data into another form, such as nominal/symbolic format, to reduce dimensionality, which inevitably deviates the data values.

Sequential Pattern Mining Time Series +1

DBC-Forest: Deep forest with binning confidence screening

no code implementations25 Dec 2021 Pengfei Ma, Youxi Wu, Yan Li, Lei Guo, Zhao Li

As a deep learning model, deep confidence screening forest (gcForestcs) has achieved great success in various applications.

A Nearly Optimal Chattering Reduction Method of Sliding Mode Control With an Application to a Two-wheeled Mobile Robot

no code implementations25 Oct 2021 Lei Guo, Han Zhao, Yuan Song

First, the deficiency of chattering in traditional SMC and the quasi-SMC method are analyzed in this paper.

Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation

1 code implementation9 Sep 2021 Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin

Technically, for (1), a hierarchical hypergraph convolutional network based on the user- and group-level hypergraphs is developed to model the complex tuplewise correlations among users within and beyond groups.

Tri-Branch Convolutional Neural Networks for Top-$k$ Focused Academic Performance Prediction

1 code implementation22 Jul 2021 Chaoran Cui, Jian Zong, Yuling Ma, Xinhua Wang, Lei Guo, Meng Chen, Yilong Yin

Academic performance prediction aims to leverage student-related information to predict their future academic outcomes, which is beneficial to numerous educational applications, such as personalized teaching and academic early warning.

Identification and Adaptation with Binary-Valued Observations under Non-Persistent Excitation Condition

no code implementations8 Jul 2021 Lantian Zhang, Yanlong Zhao, Lei Guo

By using both the stochastic Lyapunov function and martingale estimation methods, we establish the strong consistency of the estimation algorithm and provide the convergence rate, under a signal condition which is considerably weaker than the traditional PE condition and coincides with the weakest possible excitation known for the classical least square algorithm of stochastic regression models.


Online Adaptive Optimal Control Algorithm Based on Synchronous Integral Reinforcement Learning With Explorations

no code implementations19 May 2021 Lei Guo, Han Zhao

In this paper, we present a novel algorithm named synchronous integral Q-learning, which is based on synchronous policy iteration, to solve the continuous-time infinite horizon optimal control problems of input-affine system dynamics.

Q-Learning reinforcement-learning +1

DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation

no code implementations7 May 2021 Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin

Shared-account Cross-domain Sequential recommendation (SCSR) is the task of recommending the next item based on a sequence of recorded user behaviors, where multiple users share a single account, and their behaviours are available in multiple domains.

Sequential Recommendation Transfer Learning

Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation

no code implementations24 Mar 2021 Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng

However, the representation learning for a group is most complex beyond the fusion of group member representation, as the personal preferences and group preferences may be in different spaces.

Representation Learning

Unsupervised Image Segmentation using Mutual Mean-Teaching

no code implementations16 Dec 2020 Zhichao Wu, Lei Guo, Hao Zhang, Dan Xu

Unsupervised image segmentation aims at assigning the pixels with similar feature into a same cluster without annotation, which is an important task in computer vision.

Image Segmentation Semantic Segmentation +1

OpenFraming: We brought the ML; you bring the data. Interact with your data and discover its frames

2 code implementations16 Aug 2020 Alyssa Smith, David Assefa Tofu, Mona Jalal, Edward Edberg Halim, Yimeng Sun, Vidya Akavoor, Margrit Betke, Prakash Ishwar, Lei Guo, Derry Wijaya

The degree of user involvement is flexible: they can run models that have been pre-trained on select issues; submit labeled documents and train a new model for frame classification; or submit unlabeled documents and obtain potential frames of the documents.

General Classification

Secrecy Rate Maximization for Intelligent Reflecting Surface Aided SWIPT Systems

no code implementations22 Jul 2020 Wei Sun, Qingyang Song, Lei Guo, Jun Zhao

Simultaneous wireless information and power transfer (SWIPT) and intelligent reflecting surface (IRS) are two promising techniques for providing enhanced wireless communication capability and sustainable energy supply to energy-constrained wireless devices.

Multi-Label and Multilingual News Framing Analysis

no code implementations ACL 2020 Afra Feyza Aky{\"u}rek, Lei Guo, R Elanwar, a, Prakash Ishwar, Margrit Betke, Derry Tanti Wijaya

News framing refers to the practice in which aspects of specific issues are highlighted in the news to promote a particular interpretation.

Transfer Learning Translation

Adversarial Attack on Hierarchical Graph Pooling Neural Networks

no code implementations23 May 2020 Haoteng Tang, Guixiang Ma, Yurong Chen, Lei Guo, Wei Wang, Bo Zeng, Liang Zhan

However, most of the existing work in this area focus on the GNNs for node-level tasks, while little work has been done to study the robustness of the GNNs for the graph classification task.

Adversarial Attack General Classification +3

Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities

no code implementations3 May 2020 Gong Cheng, Xingxing Xie, Junwei Han, Lei Guo, Gui-Song Xia

Considering the rapid evolution of this field, this paper provides a systematic survey of deep learning methods for remote sensing image scene classification by covering more than 160 papers.

Classification General Classification +1

Performance Comparison of Crowdworkers and NLP Tools on Named-Entity Recognition and Sentiment Analysis of Political Tweets

no code implementations11 Feb 2020 Mona Jalal, Kate K. Mays, Lei Guo, Margrit Betke

We report results of a comparison of the accuracy of crowdworkers and seven Natural Language Processing (NLP) toolkits in solving two important NLP tasks, named-entity recognition (NER) and entity-level sentiment (ELS) analysis.

named-entity-recognition Named Entity Recognition +2

Convergence of a Distributed Least Squares

no code implementations25 Dec 2019 Siyu Xie, Yaqi Zhang, Lei Guo

In this paper, we consider a least-squares (LS)-based distributed algorithm build on a sensor network to estimate an unknown parameter vector of a dynamical system, where each sensor in the network has partial information only but is allowed to communicate with its neighbors.

Detecting Frames in News Headlines and Its Application to Analyzing News Framing Trends Surrounding U.S. Gun Violence

no code implementations CONLL 2019 Siyi Liu, Lei Guo, Kate Mays, Margrit Betke, Derry Tanti Wijaya

We apply our frame detection approach in a large scale study of 88k news headlines about the coverage of gun violence in the U. S. between 2016 and 2018.

BUOCA: Budget-Optimized Crowd Worker Allocation

no code implementations11 Jan 2019 Mehrnoosh Sameki, Sha Lai, Kate K. Mays, Lei Guo, Prakash Ishwar, Margrit Betke

We next train a machine learning system (BUOCA-ML) that predicts an optimal number of crowd workers needed to maximize the accuracy of the labeling.

Dynamic Allocation of Crowd Contributions for Sentiment Analysis during the 2016 U.S. Presidential Election

no code implementations31 Aug 2016 Mehrnoosh Sameki, Mattia Gentil, Kate K. Mays, Lei Guo, Margrit Betke

We explore two dynamic-allocation methods: (1) The number of workers queried to label a tweet is computed offline based on the predicted difficulty of discerning the sentiment of a particular tweet.

Sentiment Analysis

Learning Coarse-to-Fine Sparselets for Efficient Object Detection and Scene Classification

no code implementations CVPR 2015 Gong Cheng, Junwei Han, Lei Guo, Tianming Liu

Part model-based methods have been successfully applied to object detection and scene classification and have achieved state-of-the-art results.

General Classification object-detection +2

Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles

no code implementations NeurIPS 2010 Kaiming Li, Lei Guo, Carlos Faraco, Dajiang Zhu, Fan Deng, Tuo Zhang, Xi Jiang, Degang Zhang, Hanbo Chen, Xintao Hu, Steve Miller, Tianming Liu

Our strategy is to formulate the individual ROI optimization as a group variance minimization problem, in which group-wise functional and structural connectivity patterns, and anatomic profiles are defined as optimization constraints.

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