Search Results for author: Fei Li

Found 51 papers, 16 papers with code

DiaASQ : A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis

1 code implementation10 Nov 2022 Bobo Li, Hao Fei, Fei Li, Yuhan Wu, Jinsong Zhang, Shengqiong Wu, Jingye Li, Yijiang Liu, Lizi Liao, Tat-Seng Chua, Donghong Ji

In this work, we introduce a novel task of conversational aspect-based sentiment quadruple analysis, namely DiaASQ, aiming to detect the sentiment quadruple of target-aspect-opinion-sentiment in a dialogue.

Aspect-Based Sentiment Analysis Opinion Mining

TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained Tags

no code implementations1 Nov 2022 Jiang Liu, Donghong Ji, Jingye Li, Dongdong Xie, Chong Teng, Liang Zhao, Fei Li

Concretely, we construct tag representations and embed them into TREM, so that TREM can treat tag and word representations as queries/keys/values and utilize self-attention to model their relationships.

named-entity-recognition NER +1

Entity-centered Cross-document Relation Extraction

1 code implementation29 Oct 2022 Fengqi Wang, Fei Li, Hao Fei, Jingye Li, Shengqiong Wu, Fangfang Su, Wenxuan Shi, Donghong Ji, Bo Cai

First, we focus on input construction for our RE model and propose an entity-based document-context filter to retain useful information in the given documents by using the bridge entities in the text paths.

Relation Extraction

Learning to screen Glaucoma like the ophthalmologists

no code implementations23 Sep 2022 Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Yanwu Xu

GAMMA Challenge is organized to encourage the AI models to screen the glaucoma from a combination of 2D fundus image and 3D optical coherence tomography volume, like the ophthalmologists.

OneEE: A One-Stage Framework for Fast Overlapping and Nested Event Extraction

1 code implementation COLING 2022 Hu Cao, Jingye Li, Fangfang Su, Fei Li, Hao Fei, Shengqiong Wu, Bobo Li, Liang Zhao, Donghong Ji

Event extraction (EE) is an essential task of information extraction, which aims to extract structured event information from unstructured text.

Event Extraction

Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification

no code implementations25 Aug 2022 Zhen Qiu, Yifan Zhang, Fei Li, Xiulan Zhang, Yanwu Xu, Mingkui Tan

Based on these domain-invariant features at different scales, the deep model trained on the source domain is able to classify angle closure on multiple target domains even without any annotations in these domains.

Domain Adaptation Multi-target Domain Adaptation

Dataset and Evaluation algorithm design for GOALS Challenge

no code implementations29 Jul 2022 Huihui Fang, Fei Li, Huazhu Fu, Junde Wu, Xiulan Zhang, Yanwu Xu

Glaucoma causes irreversible vision loss due to damage to the optic nerve, and there is no cure for glaucoma. OCT imaging modality is an essential technique for assessing glaucomatous damage since it aids in quantifying fundus structures.

Effective Token Graph Modeling using a Novel Labeling Strategy for Structured Sentiment Analysis

1 code implementation ACL 2022 Wenxuan Shi, Fei Li, Jingye Li, Hao Fei, Donghong Ji

The essential label set consists of the basic labels for this task, which are relatively balanced and applied in the prediction layer.

Dependency Parsing Graph Attention +1

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images

no code implementations16 Feb 2022 Huihui Fang, Fei Li, Huazhu Fu, Xu sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenole Quellec, Sarah Matta, Sharath M Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, Ching-Wei Wang, Shih-Chang Lo, José Ignacio Orlando, Hrvoje Bogunović, Xiulan Zhang, Yanwu Xu, iChallenge-AMD study group

The ADAM challenge consisted of four tasks which cover the main aspects of detecting and characterizing AMD from fundus images, including detection of AMD, detection and segmentation of optic disc, localization of fovea, and detection and segmentation of lesions.

GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges

no code implementations14 Feb 2022 Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Lexing Huang, Qinji Yu, Sifan Song, Xinxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu

However, although numerous algorithms are proposed based on fundus images or OCT volumes in computer-aided diagnosis, there are still few methods leveraging both of the modalities for the glaucoma assessment.

Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery

2 code implementations12 Jan 2022 Xiaoqi Wang, Yingjie Cheng, Yaning Yang, Yue Yu, Fei Li, Shaoliang Peng

Therefore, we conjecture that the multimodal and local-global combination strategies can be treated as the guideline of multi-task SSL for drug discovery.

Drug Discovery Graph Attention +2

Relative velocity-based reward functions for crowd navigation of robots

no code implementations28 Dec 2021 Xiaoqing Yang, Fei Li

In order to increase the appli-cable scenarios of energy consumption modeling for Mecanum wheel robots and improve the accuracy of energy consumption modeling, this paper focuses on various factors that affect the energy consumption of the Mecanum wheel robot, such as motor temperature, terrain, the center of gravity position, etc.

Electrical Engineering

A Review of Computer Vision Technologies for Fish Tracking

no code implementations6 Oct 2021 Zhenbo Li, Weiran Li, Fei Li, Meng Yuan

Some one-stage detection algorithms have gradually been adopted in this area for the real-time applications.

Transfer Learning

Mastering the Explicit Opinion-role Interaction: Syntax-aided Neural Transition System for Unified Opinion Role Labeling

1 code implementation5 Oct 2021 Shengqiong Wu, Hao Fei, Fei Li, Donghong Ji, Meishan Zhang, Yijiang Liu, Chong Teng

Unified opinion role labeling (ORL) aims to detect all possible opinion structures of 'opinion-holder-target' in one shot, given a text.

A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition

1 code implementation ACL 2021 Fei Li, Zhichao Lin, Meishan Zhang, Donghong Ji

Second, we perform relation classification to judge whether a given pair of entity fragments to be overlapping or succession.

named-entity-recognition NER +1

Generative Actor-Critic: An Off-policy Algorithm Using the Push-forward Model

1 code implementation8 May 2021 Lingwei Peng, Hui Qian, Zhebang Shen, Chao Zhang, Fei Li

Model-free deep reinforcement learning has achieved great success in many domains, such as video games, recommendation systems and robotic control tasks.

Continuous Control Recommendation Systems

Stochastic Model Predictive Control for Linear Systems with Unbounded Additive Uncertainties

no code implementations21 Apr 2021 Fei Li, Huiping Li, Yuyao He

Secondly, by utilizing the probabilistic positively invariant set, the probabilistically resolvable constant tube-based stochastic model predictive control algorithm is developed by employing the constantly tightened constraints in the entire prediction horizons.

Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network

1 code implementation19 Apr 2021 Hongzuo Xu, Yijie Wang, Songlei Jian, Zhenyu Huang, Ning Liu, Yongjun Wang, Fei Li

We obtain an optimal attention-guided embedding space with expanded high-level information and rich semantics, and thus outlying behaviors of the queried outlier can be better unfolded.

Anomaly Detection Outlier Interpretation

Multiple HC$_3$N line observations towards 19 Galactic massive star-forming regions

no code implementations3 Mar 2021 Huanxue Feng, Junzhi Wang, Shanghuo Li, Yong Shi, Fengyao Zhu, Minzhi Kong, Ripeng Gao, Fei Li

We performed observations of the HC$_3$N (24-23, 17-16, 11-10, 8-7) lines towards a sample consisting of 19 Galactic massive star-forming regions with the Arizona Radio Observatory 12-m and Caltech Submillimeter Observatory 10. 4-m telescopes.

Astrophysics of Galaxies Solar and Stellar Astrophysics

Pedestrian Motion State Estimation From 2D Pose

no code implementations27 Feb 2021 Fei Li, Shiwei Fan, Pengzhen Chen, Xiangxu Li

The proposed method only needs the previous hidden state of GRU and current feature to evaluate the probability of current motion state, and it is computation efficient to deploy on vehicles.

Open-set Intersection Intention Prediction for Autonomous Driving

no code implementations27 Feb 2021 Fei Li, Xiangxu Li, Jun Luo, Shiwei Fan, Hongbo Zhang

We capture map-centric features that correspond to intersection structures under a spatial-temporal graph representation, and use two MAAMs (mutually auxiliary attention module) that cover respectively lane-level and exitlevel intentions to predict a target that best matches intersection elements in map-centric feature space.

Autonomous Driving

Cross-lingual Semantic Role Labeling with Model Transfer

no code implementations24 Aug 2020 Hao Fei, Meishan Zhang, Fei Li, Donghong Ji

In this paper, we fill the gap of cross-lingual SRL by proposing an end-to-end SRL model that incorporates a variety of universal features and transfer methods.

Semantic Role Labeling

BENTO: A Visual Platform for Building Clinical NLP Pipelines Based on CodaLab

no code implementations ACL 2020 Yonghao Jin, Fei Li, Hong Yu

In addition, the GUI interface enables researchers with limited computer background to compose tools into NLP pipelines and then apply the pipelines on their own datasets in a {``}what you see is what you get{''} (WYSIWYG) way.

Management named-entity-recognition +1

Open-Narrow-Synechiae Anterior Chamber Angle Classification in AS-OCT Sequences

no code implementations9 Jun 2020 Huaying Hao, Huazhu Fu, Yanwu Xu, Jianlong Yang, Fei Li, Xiulan Zhang, Jiang Liu, Yitian Zhao

However, clinical diagnosis requires a more discriminating ACA three-class system (i. e., open, narrow, or synechiae angles) for the benefit of clinicians who seek better to understand the progression of the spectrum of angle-closure glaucoma types.

General Classification

ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network

1 code implementation25 Nov 2019 Fei Li, Hong Yu

The innovations of our model are two-folds: it utilizes a multi-filter convolutional layer to capture various text patterns with different lengths and a residual convolutional layer to enlarge the receptive field.

Medical Code Prediction

Bacteria Biotope Relation Extraction via Lexical Chains and Dependency Graphs

no code implementations WS 2019 Wuti Xiong, Fei Li, Ming Cheng, Hong Yu, Donghong Ji

abstract In this article, we describe our approach for the Bacteria Biotopes relation extraction (BB-rel) subtask in the BioNLP Shared Task 2019.

graph construction Relation Extraction

Optimal Delivery with Budget Constraint in E-Commerce Advertising

no code implementations29 Sep 2019 Chao Wei, Weiru Zhang, Shengjie Sun, Fei Li, Xiaonan Meng, Yi Hu, Hao Wang

Online advertising in E-commerce platforms provides sellers an opportunity to achieve potential audiences with different target goals.

Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks

no code implementations30 Jun 2019 Wei Shen, Fei Li, Rujie Liu

We argue that the discard of the correlated discriminative information is partially caused by the fact that the minimization of the classification loss doesn't ensure to learn the overall discriminative information but only the most discriminative information.

Classification General Classification +1

HYPE: A High Performing NLP System for Automatically Detecting Hypoglycemia Events from Electronic Health Record Notes

no code implementations29 Nov 2018 Yonghao Jin, Fei Li, Hong Yu

We used this annotated dataset to train and evaluate HYPE, supervised NLP systems for hypoglycemia detection.

Unsupervised Band Selection of Hyperspectral Images via Multi-dictionary Sparse Representation

no code implementations20 Feb 2018 Fei Li, Pingping Zhang, Huchuan Lu

Band selection is a direct and effective method to remove redundant information and reduce the spectral dimension for decreasing computational complexity and avoiding the curse of dimensionality.

Dictionary Learning General Classification +1

A Bi-LSTM-RNN Model for Relation Classification Using Low-Cost Sequence Features

no code implementations27 Aug 2016 Fei Li, Meishan Zhang, Guohong Fu, Tao Qian, Donghong Ji

This model divides a sentence or text segment into five parts, namely two target entities and their three contexts.

Dependency Parsing General Classification +1

Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior

no code implementations ICCV 2015 Lei Zhang, Wei Wei, Yanning Zhang, Fei Li, Chunhua Shen, Qinfeng Shi

To reconstruct hyperspectral image (HSI) accurately from a few noisy compressive measurements, we present a novel manifold-structured sparsity prior based hyperspectral compressive sensing (HCS) method in this study.

Compressive Sensing

A density compensation-based path computing model for measuring semantic similarity

no code implementations3 Jun 2015 Xinhua Zhu, Fei Li, Hongchao Chen, Qi Peng

Therefore, in order to solve the problem of non-uniformity of concept density in a large taxonomic ontology, we propose a new path computing model based on the compensation of local area density of concepts, which is equal to the number of direct hyponyms of the subsumers of concepts in their shortest path.

Semantic Similarity Semantic Textual Similarity

Reweighted Laplace Prior Based Hyperspectral Compressive Sensing for Unknown Sparsity

no code implementations CVPR 2015 Lei Zhang, Wei Wei, Yanning Zhang, Chunna Tian, Fei Li

To address this problem, a novel reweighted Laplace prior based hyperspectral compressive sensing method is proposed in this study.

Compressive Sensing Noise Estimation

Large-Scale Category Structure Aware Image Categorization

no code implementations NeurIPS 2011 Bin Zhao, Fei Li, Eric P. Xing

With the emergence of structured large-scale dataset such as the ImageNet, rich information about the conceptual relationships between images, such as a tree hierarchy among various image categories, become available.

Image Categorization

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