Yufei Tang

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News

2021
  • [04/2021] Our NSF REU alumni Erica Lindbeck has been awarded the competitive, prestigious National Science Foundation Graduate Research Fellowship (NSF GRFP). Congratulations!
  • [04/2021] Paper entitled “SSAE-MLP: Stacked Sparse Autoencoders based Multi-Layer Perceptron for Main Bearing Temperature Prediction of Large-scale Wind Turbines” has been accepted by Concurrency and Computation: Practice and Experience (CCPE) Journal.
  • [03/2021] Dr. Tang was invited to serve as the Publicity Chair of the 2021 International Conference on High-Performance Big Data and Intelligent Systems.
  • [03/2021] Dr. Tang was invited to serve as the Big Data Poster Co-Chair of the 2021 IEEE International Conference on Big Data.
  • [03/2021] Our group members Yu Huang has been awarded the “Best Journal Publication” (Honorable Mention) and David Wilson has been awarded the “Best Teaching Assistant”, both by the College of Engineering and Computer Science at FAU. Congratulations!
  • [02/2021] Our NSF CyberTraining project website is ready. Click here to view. All eligible applications are welcome!
  • [02/2021] Prof. Tang served as a reviewer of the National Science Foundation (NSF).
  • [01/2021] Prof. Tang served as an external reviewer of the Natural Sciences and Engineering Research Council (NSERC) of Canada.
  • [01/2021] Paper entitled “Rotor Blade Imbalance Fault Detection for Variable-Speed Marine Current Turbines via Generator Power Signal Analysis” has been accepted by Ocean Engineering Journal.
  • [01/2021] Paper entitled “Prognostics with Variational Autoencoder by Generative Adversarial Learning” has been accepted by the IEEE Transactions on Industrial Electronics (TIE).
2020
  • [12/2020] Our group member Arezoo Hasankhani has been awarded the “Dr. Steven G. Schock Scholarship” for the 2020-2021 academic year by FAU College of Engineering and Computer Science. Congratulations!
  • [10/2020] Paper entitled “Learning-Based Control for Discrete-Time Constrained Nonzero-Sum Games” has been accepted by the CAAI Transactions on Intelligence Technology.
  • [08/2020] Paper entitled “Multi-Label Graph Convolutional Network Representation Learning” has been accepted by the IEEE Transactions on Big Data (TBD).
  • [08/2020] Our group member Yu Huang has been awarded the “Graduate Fellowship for Academic Excellence” for the 2020-2021 academic year by FAU Graduate College. Congratulations!
  • [07/2020] Prof. Tang with Prof. Jordon Beckler and a research team at FAU’s Harbor Branch Oceanographic Institute (HBOI) received a Florida Department of Environmental Protection Grant. [Media Report]
  • [07/2020] Prof. Tang with Profs. VanZwieten, Hallstrom, and Zhu received a National Science Foundation Award. This is a collaborative project with the University of South Florida.
  • [07/2020] Our group member Min Shi has successfully defended his Ph.D. dissertation entitled “Multifaceted Embedding Learning for Networked Data and Systems.” He is now a Postdoc at Washington University School of Medicine in St. Louis. Congratulations!
  • [06/2020] Prof. Tang with Prof. VanZwieten and SNMREC Director Gabriel Alsenas received a Department of Energy Grant. This grant will provide funds to upgrade the infrastructure at the Southeast National Marine Renewable Energy Center.
  • [05/2020] Paper entitled “Multi-Class Imbalanced Graph Convolutional Network Learning” has been accepted by International Joint Conference on Artificial Intelligence (IJCAI), 2020. Out of 4717 valid submissions, only 592 have been accepted for an overall acceptance rate of 12.6%. Congratulations, Min!
  • [04/2020] Dr. Tang was invited to serve in the Program Committees of ACM KDD 2020.
  • [04/2020] Another nice video to introduce our research on MHK. Click here to view.
  • [03/2020] Three paper abstracts have been accepted (one oral and two poster presentations) by the International Conference on Ocean Energy (ICOE), 2020.
  • [02/2020] Our group member Min Shi has been awarded “RA of the Year ” and David Wilson has been awarded the “Best Qualifying Exam”, both by the College of Engineering and Computer Science at FAU. Congratulations!
  • [02/2020] Poster entitled “A Spatiotemporal Seq2Seq Learning Algorithm for Loop Current Forecasting in GoM,” has been presented at the 2020 Gulf of Mexico Oil Spill & Ecosystem Science Conference.
  • [01/2020] Paper entitled “Adaptive Super-Twisting Sliding Mode Control for Ocean Current Turbine-Driven Permanent Magnet Synchronous Generator” has been accepted by American Control Conference (ACC), 2020.
  • [01/2020] Paper entitled “Topic-Aware Web Service Representation Learning” has been accepted by the Web, ACM Transactions on (TWEB).
2019
  • [12/2019] Paper entitled “WEC Fault Modeling and Condition Monitoring: A Graph-Theoretic Approach,” has been accepted by IET Electric Power Applications (EPA).
  • [11/2019] A nice video to introduce our group’s research. Click here to view.
  • [10/2019] Paper entitled “MLNE: Multi-Label Network Embedding” has been accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
  • [09/2019] Prof. Tang received the prestigious Early-Career Research Fellowship Award from the National Academies of Sciences, Engineering, and Medicine. [NAS Announcement][FAU Report]
  • [08/2019] Paper entitled “Topical Network Embedding,” has been accepted by Data Mining and Knowledge Discovery (DMKD).
  • [06/2019] Prof. Tang delivered several talks at Wuhan University, Huazhong University of Science and Technology, Zhongnan University of Economics and Law, South China University of Technology, Chongqing University of Science and Technology, and Hunan University of Science and Technology.
  • [05/2019] Our project-funded undergraduate researcher, Erica Lindbeck, has been offered a summer internship at NREL. Congratulations!
  • [04/2019] Prof. Tang with Profs. Verma, Curet, Georgios, and Pados received COECS and I-SENSE 2019 Seed Grant.
  • [04/2019] One paper has been accepted by the International Conference on High-Performance Big Data and Intelligent Systems (HPBD&IS), 2019.
  • [03/2019] Prof. Tang with Prof. Zhu and Prof. Lu received Florida State 2019 Cyber Florida Capacity Building Award.
  • [03/2019] Prof. Tang with Prof. Qi received Florida State 2019 Cyber Florida Collaborative Seed Award.
  • [03/2019] One paper has been accepted by IEEE International Joint Conference on Neural Networks (IJCNN), 2019.
  • [03/2019] Two papers have been accepted by the IEEE Power and Energy Society General Meeting (PESGM), 2019.
  • [01/2019] Paper entitled “In-Stream Hydrokinetic Turbine Fault Detection and Fault-Tolerant Control – A Benchmark Model,” has been accepted by the American Control Conference (ACC), 2019.
2018
  • [10/2018] Paper entitled “Functional and Contextual Attention-based LSTM for Service Recommendation in Mashup Creation,” has been accepted by IEEE Transactions on Parallel and Distributed Systems (TPDS).
  • [09/2018] Paper entitled “Bidirectional Long Short-Term Memory Networks for Rapid Fault Detection in Marine Hydrokinetic Turbines” has been accepted by the IEEE 17th International Conference on Machine Learning and Applications (ICMLA), 2018.
  • [08/2018] Prof. Tang with Prof. VanZwieten and Prof. Dhanak received a National Science Foundation Award. This is a collaborative project with Virginia Polytechnic Institute and State University and the University of New Orleans.
  • [08/2018] Our students Erica and Sean won the Best Research and Best Presentation of the NSF: FAU REU Sites Programs 2018, respectively. Congratulations!
  • [06/2018] Paper entitled “Analytic Method for Forced Oscillation in Smart Grid Under Stochastic Continuous Disturbances” has been accepted by IEEE Transactions on Smart Grid (TSG).
  • [06/2018] Prof. Tang received NVIDIA GPU Grant for research on cyber-physical smart grid security and resilience.
  • [05/2018] Prof. Tang with Prof. Barenholtz received I-SENSE 2018 Seed Grant.
  • [03/2018] Our project-funded undergraduate researcher, Nathan Witztum, has been offered a summer internship at NREL. Congratulations!
  • [03/2018] Our poster entitled “FAST-Based In-Stream Hydrokinetic Generation System Modeling for MCM and PHM,” has been accepted by Marine Energy Technology Symposium (METS), 2018.
  • [02/2018] Paper entitled “Deep Learning-Aided Cyber-Attack Detection in Power Transmission Systems,” has been accepted by Power and Energy Society General Meeting (PESGM), IEEE, 2018.
  • [01/2018] Paper entitled “A Topic-Sensitive Method for Mashup Tag Recommendation Utilizing Multi-Relational Service Data” has been accepted by IEEE Transactions on Services Computing (TSC).
  • [01/2018] Paper entitled “How Can Cyber-Physical Interdependence Affect the Mitigation of Cascading Power Failure?” has been accepted by International Conference on Computer Communications (INFOCOM), 2018.
2017
  • [10/2017] Prof. Tang with Prof. VanZwieten received Walter & Lalita Janke Foundation Science Research Fund.
  • [04/2017] Prof. Tang with Prof. Lu received Florida State 2017 Cyber Florida Collaborative Seed Award.
  • [03/2017] Paper entitled “Improved Sliding Mode Design for Load Frequency Control of Power System Integrated an Adaptive Learning Strategy” has been accepted by IEEE Transactions on Industrial Electronics (TIE).
  • [03/2017] Paper entitled “Stacked Multi-Level-Denoising Autoencoders: A New Representation Learning Approach for Wind Turbine Gearbox Fault Diagnosis” has been accepted by IEEE Transactions on Instrumentation & Measurement (TIM).
  • [03/2017] One paper has been accepted by the IEEE Power and Energy Society General Meeting (PESGM), 2017.
  • [02/2017] Two papers have been accepted by the IEEE International Joint Conference on Neural Networks (IJCNN), 2017.