Search Results for author: Fei Li

Found 88 papers, 39 papers with code

Efficient Redundancy Reduction for Open-Vocabulary Semantic Segmentation

no code implementations29 Jan 2025 Lin Chen, Qi Yang, Kun Ding, Zhihao LI, Gang Shen, Fei Li, Qiyuan Cao, Shiming Xiang

Open-vocabulary semantic segmentation (OVSS) is an open-world task that aims to assign each pixel within an image to a specific class defined by arbitrary text descriptions.

Open Vocabulary Semantic Segmentation Open-Vocabulary Semantic Segmentation +1

M$^{3}$D: A Multimodal, Multilingual and Multitask Dataset for Grounded Document-level Information Extraction

1 code implementation5 Dec 2024 Jiang Liu, Bobo Li, Xinran Yang, Na Yang, Hao Fei, Mingyao Zhang, Fei Li, Donghong Ji

Therefore, in order to promote the development of multimodal IE, we constructed a multimodal multilingual multitask dataset, named M$^{3}$D, which has the following features: (1) It contains paired document-level text and video to enrich multimodal information; (2) It supports two widely-used languages, namely English and Chinese; (3) It includes more multimodal IE tasks such as entity recognition, entity chain extraction, relation extraction and visual grounding.

Relation Extraction Visual Grounding

Continuous Speculative Decoding for Autoregressive Image Generation

1 code implementation18 Nov 2024 Zili Wang, Robert Zhang, Kun Ding, Qi Yang, Fei Li, Shiming Xiang

Experimental results show that our continuous speculative decoding achieves a remarkable $2. 33\times$ speed-up on off-the-shelf models while maintaining the output distribution.

Denoising Image Generation

Multiple kernel concept factorization algorithm based on global fusion

no code implementations27 Oct 2024 Fei Li, Liang Du, Chaohong Ren

Non-negative Matrix Factorization(NMF) algorithm can only be used to find low rank approximation of original non-negative data while Concept Factorization(CF) algorithm extends matrix factorization to single non-linear kernel space, improving learning ability and adaptability of matrix factorization.

Clustering

Baichuan Alignment Technical Report

no code implementations19 Oct 2024 MingAn Lin, Fan Yang, Yanjun Shen, Haoze Sun, Tianpeng Li, Chenzheng Zhu, Tao Zhang, Miao Zheng, Xu Li, Yijie Zhou, Mingyang Chen, Yanzhao Qin, Youquan Li, Hao Liang, Fei Li, Yadong Li, Mang Wang, Guosheng Dong, Kun Fang, Jianhua Xu, Bin Cui, Wentao Zhang, Zenan Zhou, WeiPeng Chen

Baichuan-Instruct is an internal model, while Qwen2-Nova-72B and Llama3-PBM-Nova-70B are instruct versions of the Qwen2-72B and Llama-3-70B base models, optimized through Baichuan Alignment.

Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling

1 code implementation2 Oct 2024 Jinghan Li, Zhicheng Sun, Fei Li, Cao Sheng, Jiazhong Yu, Yadong Mu

In the endeavor to make autonomous robots take actions, task planning is a major challenge that requires translating high-level task descriptions into long-horizon action sequences.

Language Modeling Language Modelling +1

VisionUnite: A Vision-Language Foundation Model for Ophthalmology Enhanced with Clinical Knowledge

1 code implementation5 Aug 2024 Zihan Li, Diping Song, Zefeng Yang, Deming Wang, Fei Li, Xiulan Zhang, Paul E. Kinahan, Yu Qiao

The need for improved diagnostic methods in ophthalmology is acute, especially in the less developed regions with limited access to specialists and advanced equipment.

Clinical Knowledge

AVESFormer: Efficient Transformer Design for Real-Time Audio-Visual Segmentation

3 code implementations3 Aug 2024 Zili Wang, Qi Yang, Linsu Shi, Jiazhong Yu, Qinghua Liang, Fei Li, Shiming Xiang

By characterizing attention maps of the network, we identify two key obstacles in AVS models: 1) attention dissipation, corresponding to the over-concentrated attention weights by Softmax within restricted frames, and 2) inefficient, burdensome transformer decoder, caused by narrow focus patterns in early stages.

Decoder

Generative Sentiment Analysis via Latent Category Distribution and Constrained Decoding

no code implementations31 Jul 2024 Jun Zhou, Dongyang Yu, Kamran Aziz, Fangfang Su, Qing Zhang, Fei Li, Donghong Ji

To address the challenges related to category semantic inclusion and overlap, a latent category distribution variable is introduced.

Sentiment Analysis

Lomics: Generation of Pathways and Gene Sets using Large Language Models for Transcriptomic Analysis

1 code implementation12 Jul 2024 Chun-Ka Wong, Ali Choo, Eugene C. C. Cheng, Wing-Chun San, Kelvin Chak-Kong Cheng, Yee-Man Lau, Minqing Lin, Fei Li, Wei-Hao Liang, Song-Yan Liao, Kwong-Man Ng, Ivan Fan-Ngai Hung, Hung-Fat Tse, Jason Wing-Hon Wong

Lomics (Large Language Models for Omics Studies) v1. 0 is a python-based bioinformatics toolkit that streamlines the generation of pathways and gene sets for transcriptomic analysis.

Specificity valid

Revisiting Structured Sentiment Analysis as Latent Dependency Graph Parsing

no code implementations5 Jul 2024 Chengjie Zhou, Bobo Li, Hao Fei, Fei Li, Chong Teng, Donghong Ji

In this paper, we treat the SSA task as a dependency parsing task on partially-observed dependency trees, regarding flat spans without determined tree annotations as latent subtrees to consider internal structures of spans.

Dependency Parsing global-optimization +2

Enhancing Cross-Document Event Coreference Resolution by Discourse Structure and Semantic Information

1 code implementation23 Jun 2024 Qiang Gao, Bobo Li, Zixiang Meng, YunLong Li, Jun Zhou, Fei Li, Chong Teng, Donghong Ji

Existing cross-document event coreference resolution models, which either compute mention similarity directly or enhance mention representation by extracting event arguments (such as location, time, agent, and patient), lacking the ability to utilize document-level information.

coreference-resolution Event Coreference Resolution

RMFA-Net: A Neural ISP for Real RAW to RGB Image Reconstruction

no code implementations17 Jun 2024 Fei Li, Wenbo Hou, Peng Jia

It is demonstrated that RMFA-Net outperforms previous algorithms, achieving a PSNR score of over 25 dB, surpassing the state-of-the-art by +1 dB.

Image Reconstruction Tone Mapping

Modeling Unified Semantic Discourse Structure for High-quality Headline Generation

no code implementations23 Mar 2024 Minghui Xu, Hao Fei, Fei Li, Shengqiong Wu, Rui Sun, Chong Teng, Donghong Ji

To consolidate the efficacy of S3 graphs, we further devise a hierarchical structure pruning mechanism to dynamically screen the redundant and nonessential nodes within the graph.

Abstract Meaning Representation Headline Generation +1

CMNER: A Chinese Multimodal NER Dataset based on Social Media

1 code implementation21 Feb 2024 Yuanze Ji, Bobo Li, Jun Zhou, Fei Li, Chong Teng, Donghong Ji

Multimodal Named Entity Recognition (MNER) is a pivotal task designed to extract named entities from text with the support of pertinent images.

Miscellaneous named-entity-recognition +2

Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-Thought

1 code implementation23 Dec 2023 Li Zheng, Hao Fei, Fei Li, Bobo Li, Lizi Liao, Donghong Ji, Chong Teng

With the proliferation of dialogic data across the Internet, the Dialogue Commonsense Multi-choice Question Answering (DC-MCQ) task has emerged as a response to the challenge of comprehending user queries and intentions.

Question Answering

Compositional Generalization for Multi-label Text Classification: A Data-Augmentation Approach

1 code implementation18 Dec 2023 Yuyang Chai, Zhuang Li, Jiahui Liu, Lei Chen, Fei Li, Donghong Ji, Chong Teng

Our experiments show that this data augmentation approach significantly improves the compositional generalization capabilities of classification models on our benchmarks, with both generation models surpassing other text generation baselines.

Data Augmentation Multi Label Text Classification +3

A Bi-directional Multi-hop Inference Model for Joint Dialog Sentiment Classification and Act Recognition

no code implementations8 Aug 2023 Li Zheng, Fei Li, Yuyang Chai, Chong Teng, Donghong Ji

The joint task of Dialog Sentiment Classification (DSC) and Act Recognition (DAR) aims to predict the sentiment label and act label for each utterance in a dialog simultaneously.

Contrastive Learning feature selection +2

Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition

no code implementations8 Aug 2023 Bobo Li, Hao Fei, Lizi Liao, Yu Zhao, Chong Teng, Tat-Seng Chua, Donghong Ji, Fei Li

On the other hand, during the feature fusion stage, we propose a Contribution-aware Fusion Mechanism (CFM) and a Context Refusion Mechanism (CRM) for multimodal and context integration, respectively.

Contrastive Learning Disentanglement +2

DialogRE^C+: An Extension of DialogRE to Investigate How Much Coreference Helps Relation Extraction in Dialogs

no code implementations8 Aug 2023 Yiyun Xiong, Mengwei Dai, Fei Li, Hao Fei, Bobo Li, Shengqiong Wu, Donghong Ji, Chong Teng

Dialogue relation extraction (DRE) that identifies the relations between argument pairs in dialogue text, suffers much from the frequent occurrence of personal pronouns, or entity and speaker coreference.

coreference-resolution Relation Extraction

Revisiting Conversation Discourse for Dialogue Disentanglement

no code implementations6 Jun 2023 Bobo Li, Hao Fei, Fei Li, Shengqiong Wu, Lizi Liao, Yinwei Wei, Tat-Seng Chua, Donghong Ji

Conversation utterances are essentially organized and described by the underlying discourse, and thus dialogue disentanglement requires the full understanding and harnessing of the intrinsic discourse attribute.

Attribute Disentanglement

ECQED: Emotion-Cause Quadruple Extraction in Dialogs

no code implementations6 Jun 2023 Li Zheng, Donghong Ji, Fei Li, Hao Fei, Shengqiong Wu, Jingye Li, Bobo Li, Chong Teng

The existing emotion-cause pair extraction (ECPE) task, unfortunately, ignores extracting the emotion type and cause type, while these fine-grained meta-information can be practically useful in real-world applications, i. e., chat robots and empathic dialog generation.

Emotion-Cause Pair Extraction

FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing

1 code implementation27 May 2023 Zhuang Li, Yuyang Chai, Terry Yue Zhuo, Lizhen Qu, Gholamreza Haffari, Fei Li, Donghong Ji, Quan Hung Tran

Textual scene graph parsing has become increasingly important in various vision-language applications, including image caption evaluation and image retrieval.

Graph Similarity Human Judgment Correlation +4

Reasoning Implicit Sentiment with Chain-of-Thought Prompting

2 code implementations18 May 2023 Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua

While sentiment analysis systems try to determine the sentiment polarities of given targets based on the key opinion expressions in input texts, in implicit sentiment analysis (ISA) the opinion cues come in an implicit and obscure manner.

Common Sense Reasoning Sentiment Analysis

PALM: Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation

1 code implementation13 May 2023 Huihui Fang, Fei Li, Junde Wu, Huazhu Fu, Xu sun, José Ignacio Orlando, Hrvoje Bogunović, Xiulan Zhang, Yanwu Xu

Our databases comprises 1200 images with associated labels for the pathologic myopia category and manual annotations of the optic disc, the position of the fovea and delineations of lesions such as patchy retinal atrophy (including peripapillary atrophy) and retinal detachment.

LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model

1 code implementation13 Apr 2023 Hao Fei, Shengqiong Wu, Jingye Li, Bobo Li, Fei Li, Libo Qin, Meishan Zhang, Min Zhang, Tat-Seng Chua

Universally modeling all typical information extraction tasks (UIE) with one generative language model (GLM) has revealed great potential by the latest study, where various IE predictions are unified into a linearized hierarchical expression under a GLM.

Language Modeling Language Modelling +1

Dialogue State Distillation Network with Inter-slot Contrastive Learning for Dialogue State Tracking

no code implementations16 Feb 2023 Jing Xu, Dandan song, Chong Liu, Siu Cheung Hui, Fei Li, Qiang Ju, Xiaonan He, Jian Xie

In this paper, we propose a Dialogue State Distillation Network (DSDN) to utilize relevant information of previous dialogue states and migrate the gap of utilization between training and testing.

Contrastive Learning Dialogue State Tracking +1

Multi-Frequency Representation Enhancement with Privilege Information for Video Super-Resolution

no code implementations ICCV 2023 Fei Li, Linfeng Zhang, Zikun Liu, Juan Lei, Zhenbo Li

CNN's limited receptive field restricts its ability to capture long-range spatial-temporal dependencies, leading to unsatisfactory performance in video super-resolution.

Video Super-Resolution

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

1 code implementation1 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 Named Entity Recognition +2

Entity-centered Cross-document Relation Extraction

2 code implementations29 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 Relation Extraction +1

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 Relation

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

Global inference with explicit syntactic and discourse structures for dialogue-level relation extraction

1 code implementation Conference 2022 Hao Fei, Jingye Li, Shengqiong Wu, Chenliang Li, Donghong Ji, Fei Li

In our global reasoning framework, D2G and ARG work collaboratively, iteratively performing lexical, syntactic and semantic information exchange and representation learning over the entire dialogue context.

Dialog Relation Extraction Relation +1

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.

Segmentation

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 +2

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 Task Planning

A Survey of Fish Tracking Techniques Based on Computer Vision

no code implementations6 Oct 2021 Weiran Li, Zhenbo Li, Fei Li, Meng Yuan, Chaojun Cen, Yanyu Qi, Qiannan Guo, You Li

Fish tracking is a key technology for obtaining movement trajectories and identifying abnormal behavior.

Image Enhancement 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.

 Ranked #1 on Fine-Grained Opinion Analysis on MPQA (F1 (Opinion) metric)

Fine-Grained Opinion Analysis

Rethinking Boundaries: End-To-End Recognition of Discontinuous Mentions with Pointer Networks

1 code implementation Conference 2021 Hao Fei, Fei Li, Bobo Li, Yijiang Liu, Yafeng Ren, Donghong Ji

A majority of research interests in irregular (eg, nested or discontinuous) named entity recognition (NER) have been paid on nested entities, while discontinuous entities received limited attention.

Boundary Detection Decoder +3

Encoder-decoder based unified semantic role labeling with label-aware syntax

1 code implementation Conference 2021 Hao Fei, Fei Li, Bobo Li, Donghong Ji

Currently the unified semantic role labeling (SRL) that achieves predicate identification and argument role labeling in an end-to-end manner has received growing interests.

Decoder Semantic Role Labeling

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 Continuous Control +2

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.

Model Predictive Control

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 +1

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 Prediction

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 +2

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.

Binary Classification General Classification

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

3 code implementations25 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 +2

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 +3

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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