Yufei Tang

Orcid: 0000-0002-6915-4468

According to our database1, Yufei Tang authored at least 80 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Physical-Feature Interactive Expansion-Based Fault Diagnosis Method With Applications to Marine Current Turbines.
IEEE Trans. Ind. Electron., August, 2024

2023
Low-Dose CT Image Synthesis for Domain Adaptation Imaging Using a Generative Adversarial Network With Noise Encoding Transfer Learning.
IEEE Trans. Medical Imaging, September, 2023

Spatiotemporal Optimization for Vertical Path Planning of an Ocean Current Turbine.
IEEE Trans. Control. Syst. Technol., March, 2023

Algebraic Structure Based Clustering Method from Granular Computing Prospective.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., February, 2023

Marine Current Turbine Multifault Diagnosis Based on Optimization Resampled Modulus Feature and 1-D-CNN.
IEEE Trans. Instrum. Meas., 2023

3D-SeqMOS: A Novel Sequential 3D Moving Object Segmentation in Autonomous Driving.
CoRR, 2023

A self-supervised guided knowledge distillation framework for unpaired low-dose CT image denoising.
Comput. Medical Imaging Graph., 2023

X-ray CT image denoising with MINF: A modularized iterative network framework for data from multiple dose levels.
Comput. Biol. Medicine, 2023

A ChatGPT-like Solution for Power Transformer Condition Monitoring.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Reinforcement Learning for Underwater Spatiotemporal Path Planning, with Application to an Autonomous Marine Current Turbine.
Proceedings of the American Control Conference, 2023

2022
Web Service Network Embedding Based on Link Prediction and Convolutional Learning.
IEEE Trans. Serv. Comput., 2022

Topology and Content Co-Alignment Graph Convolutional Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Prognostics With Variational Autoencoder by Generative Adversarial Learning.
IEEE Trans. Ind. Electron., 2022

Feature-Attention Graph Convolutional Networks for Noise Resilient Learning.
IEEE Trans. Cybern., 2022

Multi-Label Graph Convolutional Network Representation Learning.
IEEE Trans. Big Data, 2022

Spatiotemporal Deep-Learning-Based Algal Bloom Prediction for Lake Okeechobee Using Multisource Data Fusion.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Genetic-GNN: Evolutionary architecture search for Graph Neural Networks.
Knowl. Based Syst., 2022

Reliable machine prognostic health management in the presence of missing data.
Concurr. Comput. Pract. Exp., 2022

CCN-CL: A content-noise complementary network with contrastive learning for low-dose computed tomography denoising.
Comput. Biol. Medicine, 2022

Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems.
IEEE Access, 2022

DH-HGCN: Dual Homogeneity Hypergraph Convolutional Network for Multiple Social Recommendations.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Control Co-Design for Buoyancy-Controlled MHK Turbine: A Nested Optimization of Geometry and Spatial-Temporal Path Planning.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

Real-Time Vertical Path Planning Using Model Predictive Control for an Autonomous Marine Current Turbine.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

Integrated Path Planning and Tracking Control of Marine Current Turbine in Uncertain Ocean Environments.
Proceedings of the American Control Conference, 2022

2021
A Topic-Sensitive Method for Mashup Tag Recommendation Utilizing Multi-Relational Service Data.
IEEE Trans. Serv. Comput., 2021

Mashup tag completion with attention-based topic model.
Serv. Oriented Comput. Appl., 2021

Optimally Allocating Energy Storage for Active Distribution Networks to Reduce the Risk Under N-1 Contingencies.
IEEE Syst. J., 2021

Initial Development of the Hybrid Aerial Underwater Robotic System (HAUCS): Internet of Things (IoT) for Aquaculture Farms.
IEEE Internet Things J., 2021

Physics-Informed Tensor-Train ConvLSTM for Volumetric Velocity Forecasting of the Loop Current.
Frontiers Artif. Intell., 2021

ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting.
CoRR, 2021

Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems.
CoRR, 2021

SSAE-MLP: Stacked sparse autoencoders-based multi-layer perceptron for main bearing temperature prediction of large-scale wind turbines.
Concurr. Comput. Pract. Exp., 2021

Learning-based control for discrete-time constrained nonzero-sum games.
CAAI Trans. Intell. Technol., 2021

Deep Learning Based Multi-Label Attack Detection for Distributed Control of AC Microgrids.
Proceedings of the IEEE International Conference on Communications, 2021

ALGNN: Auto-Designed Lightweight Graph Neural Network.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

GAEN: Graph Attention Evolving Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Comparison of Deep Reinforcement Learning and Model Predictive Control for Real-Time Depth Optimization of a Lifting Surface Controlled Ocean Current Turbine.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021

GraSSNet: Graph Soft Sensing Neural Networks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Topic-aware Web Service Representation Learning.
ACM Trans. Web, 2020

MLNE: Multi-Label Network Embedding.
IEEE Trans. Neural Networks Learn. Syst., 2020

Topical network embedding.
Data Min. Knowl. Discov., 2020

Evolutionary Architecture Search for Graph Neural Networks.
CoRR, 2020

Physics-informed Tensor-train ConvLSTM for Volumetric Velocity Forecasting.
CoRR, 2020

Multi-Class Imbalanced Graph Convolutional Network Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Adaptive Super-Twisting Sliding Mode Control for Ocean Current Turbine-Driven Permanent Magnet Synchronous Generator.
Proceedings of the 2020 American Control Conference, 2020

2019
Stochastic Optimization of Economic Dispatch for Microgrid Based on Approximate Dynamic Programming.
IEEE Trans. Smart Grid, 2019

Analytic Estimation Method of Forced Oscillation Amplitude Under Stochastic Continuous Disturbances.
IEEE Trans. Smart Grid, 2019

Functional and Contextual Attention-Based LSTM for Service Recommendation in Mashup Creation.
IEEE Trans. Parallel Distributed Syst., 2019

Feature-Attention Graph Convolutional Networks for Noise Resilient Learning.
CoRR, 2019

Cyber and physical interactions to combat failure propagation in smart grid: Characterization, analysis and evaluation.
Comput. Networks, 2019

A Deep Imbalanced Learning Framework for Transient Stability Assessment of Power System.
IEEE Access, 2019

TA-BLSTM: Tag Attention-based Bidirectional Long Short-Term Memory for Service Recommendation in Mashup Creation.
Proceedings of the International Joint Conference on Neural Networks, 2019

In-Stream Hydrokinetic Turbine Fault Detection and Fault Tolerant Control - A Benchmark Model.
Proceedings of the 2019 American Control Conference, 2019

2018
How Can Cyber-Physical Interdependence Affect the Mitigation of Cascading Power Failure?
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Bidirectional Long Short-Term Memory Networks for Rapid Fault Detection in Marine Hydrokinetic Turbines.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017
Stacked Multilevel-Denoising Autoencoders: A New Representation Learning Approach for Wind Turbine Gearbox Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2017

Q-Learning-Based Vulnerability Analysis of Smart Grid Against Sequential Topology Attacks.
IEEE Trans. Inf. Forensics Secur., 2017

Improved Sliding Mode Design for Load Frequency Control of Power System Integrated an Adaptive Learning Strategy.
IEEE Trans. Ind. Electron., 2017

A chance constrained optimal reserve scheduling approach for economic dispatch considering wind penetration.
IEEE CAA J. Autom. Sinica, 2017

Dynamic event monitoring using unsupervised feature learning towards smart grid big data.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Near-space aerospace vehicles attitude control based on adaptive dynamic programming and sliding mode control.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Adaptive Modulation for DFIG and STATCOM With High-Voltage Direct Current Transmission.
IEEE Trans. Neural Networks Learn. Syst., 2016

Fuzzy-Based Goal Representation Adaptive Dynamic Programming.
IEEE Trans. Fuzzy Syst., 2016

2015
Power System Stability Control for a Wind Farm Based on Adaptive Dynamic Programming.
IEEE Trans. Smart Grid, 2015

Joint Substation-Transmission Line Vulnerability Assessment Against the Smart Grid.
IEEE Trans. Inf. Forensics Secur., 2015

Intelligent load frequency controller using GrADP for island smart grid with electric vehicles and renewable resources.
Neurocomputing, 2015

An Improved SVM-Based Cognitive Diagnosis Algorithm for Operation States of Distribution Grid.
Cogn. Comput., 2015

Diversity of cascading failure processes in electrical grids.
Proceedings of the 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2015

Smart Grid Vulnerability under Cascade-Based Sequential Line-Switching Attacks.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

2014
Resilience Analysis of Power Grids Under the Sequential Attack.
IEEE Trans. Inf. Forensics Secur., 2014

Reactive power control of grid-connected wind farm based on adaptive dynamic programming.
Neurocomputing, 2014

Frequency control using on-line learning method for island smart grid with EVs and PVs.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

The sequential attack against power grid networks.
Proceedings of the IEEE International Conference on Communications, 2014

Coordinated attacks against substations and transmission lines in power grids.
Proceedings of the IEEE Global Communications Conference, 2014

Impact of signal transmission delays on power system damping control using heuristic dynamic programming.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2014

Multi-machine power system control based on dual heuristic dynamic programming.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2014

Data-driven partially observable dynamic processes using adaptive dynamic programming.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013
Optimized Control of DFIG-Based Wind Generation Using Sensitivity Analysis and Particle Swarm Optimization.
IEEE Trans. Smart Grid, 2013

Adaptive control for an HVDC transmission link with FACTS and a wind farm.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2013

Comparative study between HDP and PSS on DFIG damping control.
Proceedings of the IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2013


  Loading...