Fei Teng

Orcid: 0000-0001-9535-7245

Affiliations:
  • Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China


According to our database1, Fei Teng authored at least 69 papers between 2010 and 2024.

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Bibliography

2024
Collaborative Learning With Heterogeneous Local Models: A Rule-Based Knowledge Fusion Approach.
IEEE Trans. Knowl. Data Eng., November, 2024

A fine-grained convolutional recurrent model for obstructive sleep apnea detection.
Int. J. Mach. Learn. Cybern., July, 2024

Few-shot ICD coding with knowledge transfer and evidence representation.
Expert Syst. Appl., March, 2024

An effective relation-first detection model for relational triple extraction.
Expert Syst. Appl., March, 2024

Distributed Optimal Energy Management for We-Energy Considering Operation Security.
IEEE Trans. Netw. Sci. Eng., 2024

A knowledge graph completion model based on triple level interaction and contrastive learning.
Pattern Recognit., 2024

Temporal knowledge graph reasoning based on relation graphs and time-guided attention mechanism.
Knowl. Based Syst., 2024

Multi-scale feature enhanced spatio-temporal learning for traffic flow forecasting.
Knowl. Based Syst., 2024

A survey of route recommendations: Methods, applications, and opportunities.
Inf. Fusion, 2024

KaTaGCN: Knowledge-Augmented and Time-Aware Graph Convolutional Network for efficient traffic forecasting.
Inf. Fusion, 2024

Transformer-based vision-language alignment for robot navigation and question answering.
Inf. Fusion, 2024

Continual Learning for Smart City: A Survey.
CoRR, 2024

Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
HiSTGNN: Hierarchical spatio-temporal graph neural network for weather forecasting.
Inf. Sci., November, 2023

A missing value filling model based on feature fusion enhanced autoencoder.
Appl. Intell., November, 2023

Text semantic matching with an enhanced sample building method based on contrastive learning.
Int. J. Mach. Learn. Cybern., September, 2023

A Review on Deep Neural Networks for ICD Coding.
IEEE Trans. Knowl. Data Eng., May, 2023

A Method of Sharing Sentence Vectors for Opinion Triplet Extraction.
Neural Process. Lett., February, 2023

Urban Flow Pattern Mining Based on Multi-Source Heterogeneous Data Fusion and Knowledge Graph Embedding.
IEEE Trans. Knowl. Data Eng., 2023

Segment based power-efficient scheduling for real-time DAG tasks on edge devices.
Parallel Comput., 2023

A lightweight model of wheel-rail force inversion for railway vehicles.
Concurr. Comput. Pract. Exp., 2023

An effective multi-task learning model for end-to-end emotion-cause pair extraction.
Appl. Intell., 2023

A knowledge service framework for fault diagnosis of low-earth orbit satellite constellation.
Proceedings of the IEEE International Conference on Web Services, 2023

2022
A Probabilistic Approach for Cooperative Computation Offloading in MEC-Assisted Vehicular Networks.
IEEE Trans. Intell. Transp. Syst., 2022

Tight Lower bound on power consumption for scheduling real-time periodic tasks in core-level DVFS systems.
Parallel Comput., 2022

A multi-step forecasting model of online car-hailing demand.
Inf. Sci., 2022

Multimedia Monitoring System of Obstructive Sleep Apnea via a Deep Active Learning Model.
IEEE Multim., 2022

Infrared dim and small targets detection via self-attention mechanism and pipeline correlator.
Digit. Signal Process., 2022

Federated Graph-based Networks with Shared Embedding.
CoRR, 2022

Rule-Based Collaborative Learning with Heterogeneous Local Learning Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021
An explainable CNN approach for medical codes prediction from clinical text.
BMC Medical Informatics Decis. Mak., 2021

An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability.
Inf. Fusion, 2021

Containment control of multi-agent systems with nonvanishing disturbance via topology reconfiguration.
Sci. China Inf. Sci., 2021

Coordinated Energy Management Scheme for Ship-Harbour Energy System Based on Economic Optimal Scheduling.
Proceedings of the 2021 International Conference on Security, 2021

Power Management Method for Clean Energy Ships Based on Supply Capacity Constraints.
Proceedings of the 2021 International Conference on Security, 2021

2020
Multi-Task Joint Learning Model for Segmenting and Classifying Tongue Images Using a Deep Neural Network.
IEEE J. Biomed. Health Informatics, 2020

Automatic Medical Code Assignment via Deep Learning Approach for Intelligent Healthcare.
IEEE J. Biomed. Health Informatics, 2020

Urban big data fusion based on deep learning: An overview.
Inf. Fusion, 2020

A two steps method of resources utilization predication for large Hadoop data center.
Concurr. Comput. Pract. Exp., 2020

RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
基于区间分类的螺旋图可视化边绑定方法 (Edge Bundling Method of Spiral Graph Based on Interval Classification).
计算机科学, 2019

Intelligent Syndrome Differentiation of Traditional Chinese Medicine by ANN: A Case Study of Chronic Obstructive Pulmonary Disease.
IEEE Access, 2019

A Text Annotation Tool with Pre-annotation Based on Deep Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2019

A Sentence-RCNN embedding model for Knowledge Graph Completion.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

A Multi-channel Convolutional Neural Network for ICD Coding.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Automatic Labeling for Gene-Disease Associations through Distant Supervision.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Convolutional LSTM Network with Hierarchical Attention for Relation Classification in Clinical Texts.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Parallel Semi-Supervised Multi-Ant Colonies Clustering Ensemble Based on MapReduce Methodology.
IEEE Trans. Cloud Comput., 2018

Large Scale Data Centers Simulation Based on Baseline Test Model.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

RUPredHadoop: Resources Utilization Predictor for Hadoop with Large-Scale Clusters.
Proceedings of the Big Data - 6th CCF Conference, 2018

2017
Energy efficiency of VM consolidation in IaaS clouds.
J. Supercomput., 2017

Temporal Prediction Model for Social Information Propagation.
Proceedings of the Rough Sets - International Joint Conference, 2017

Ego-clustering based propagation prediction of time series in social networks.
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

2016
Node Scaling Analysis for Power-Aware Real-Time Tasks Scheduling.
IEEE Trans. Computers, 2016

云计算平台中面向车联网应用的能耗感知调度算法 (Energy-aware Scheduling Algorithm for Internet of Vehicles on Cloud Platform).
计算机科学, 2016

2015
不同MapReduce运行系统的性能测试与分析 (Performance Testing and Analysis among Different MapReduce Runtime Systems).
计算机科学, 2015

一种Hadoop中基于作业类别和截止时间的调度算法 (Scheduler Algorithm Based on Type Specific and Deadline in Hadoop).
计算机科学, 2015

MUS: a novel deadline-constrained scheduling algorithm for Hadoop.
Int. J. Comput. Sci. Eng., 2015

An Improved PSO Algorithm for Community Detection.
Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015

Node Scaling Scheduling of Real-Time Tasks in a Power-Aware Datacenter.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

Accelerating Link Community Detection in Social Networks.
Proceedings of the International Conference on Cloud Computing and Big Data, 2015

2014
A novel real-time scheduling algorithm and performance analysis of a MapReduce-based cloud.
J. Supercomput., 2014

An Energy-Efficient VM Placement in Cloud Datacenter.
Proceedings of the 2014 IEEE International Conference on High Performance Computing and Communications, 2014

2013
An Improved Cop-Kmeans Clustering for Solving Constraint Violation Based on MapReduce Framework.
Fundam. Informaticae, 2013

Designing Contextualized Workflows in the Cloud.
Proceedings of the International Conference on Advanced Cloud and Big Data, 2013

2011
Reliability Comparison of Schedulability Test in Ubiquitous Computing.
Proceedings of the Ubiquitous Intelligence and Computing - 8th International Conference, 2011

SimMapReduce: A Simulator for Modeling MapReduce Framework.
Proceedings of the 5th FTRA International Conference on Multimedia and Ubiquitous Engineering, 2011

2010
A New Game Theoretical Resource Allocation Algorithm for Cloud Computing.
Proceedings of the Advances in Grid and Pervasive Computing, 5th International Conference, 2010

Resource Pricing and Equilibrium Allocation Policy in Cloud Computing.
Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010


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