Yufei Tang
Orcid: 0000-0002-6915-4468
According to our database1,
Yufei Tang
authored at least 87 papers
between 2013 and 2025.
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Bibliography
2025
CoRR, January, 2025
Multi-relation graph contrastive learning with adaptive strategy for social recommendation.
Neurocomputing, 2025
2024
IEEE Trans. Intell. Transp. Syst., August, 2024
A Physical-Feature Interactive Expansion-Based Fault Diagnosis Method With Applications to Marine Current Turbines.
IEEE Trans. Ind. Electron., August, 2024
Dual Homogeneity Hypergraph Motifs with Cross-view Contrastive Learning for Multiple Social Recommendations.
ACM Trans. Knowl. Discov. Data, July, 2024
SPiForest: An Anomaly Detecting Algorithm Using Space Partition Constructed by Probability Density-Based Inverse Sampling.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Domain adaptive noise reduction with iterative knowledge transfer and style generalization learning.
Medical Image Anal., 2024
Adaptive noise-aware denoising network: Effective denoising for CT images with varying noise intensity.
Biomed. Signal Process. Control., 2024
Vehicular Resilient Control Strategy for a Platoon of Self-Driving Vehicles under DoS Attack.
Proceedings of the IEEE Conference on Control Technology and Applications, 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
IEEE Trans. Control. Syst. Technol., March, 2023
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
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
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
IEEE Trans. Serv. Comput., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Ind. Electron., 2022
IEEE Trans. Cybern., 2022
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
Knowl. Based Syst., 2022
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
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
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
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
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
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021
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
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
CoRR, 2020
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
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
IEEE Trans. Fuzzy Syst., 2016
2015
Power System Stability Control for a Wind Farm Based on Adaptive Dynamic Programming.
IEEE Trans. Smart Grid, 2015
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
Proceedings of the 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2015
Proceedings of the 2015 IEEE Global Communications Conference, 2015
2014
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
Proceedings of the IEEE International Conference on Communications, 2014
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
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
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2013
Proceedings of the IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2013