Comparative study between HDP and PSS on DFIG damping control. - Yufei Tang; Haibo He; Jinyu Wen (CIASG, 2013)

Adaptive control for an HVDC transmission link with FACTS and a wind farm. - Yufei Tang; Haibo He; Jinyu Wen (ISGT, 2013)

Optimized Control of DFIG-Based Wind Generation Using Sensitivity Analysis and Particle Swarm Optimization. - Yufei Tang; Ping Ju; Haibo He; Chuan Qin 005; Feng Wu (IEEE Trans. Smart Grid, 2013)

Data-driven partially observable dynamic processes using adaptive dynamic programming. - Xiangnan Zhong; Zhen Ni; Yufei Tang; Haibo He (ADPRL, 2014)

Multi-machine power system control based on dual heuristic dynamic programming. - Zhen Ni; Yufei Tang; Haibo He; Jinyu Wen (CIASG, 2014)

Impact of signal transmission delays on power system damping control using heuristic dynamic programming. - Yufei Tang; Xiangnan Zhong; Zhen Ni; Jun Yan 007; Haibo He (CIASG, 2014)

Coordinated attacks against substations and transmission lines in power grids. - Yihai Zhu; Jun Yan 007; Yufei Tang; Yan Lindsay Sun; Haibo He (GLOBECOM, 2014)

The sequential attack against power grid networks. - Yihai Zhu; Jun Yan 007; Yufei Tang; Yan Sun 001; Haibo He (ICC, 2014)

Frequency control using on-line learning method for island smart grid with EVs and PVs. - Yufei Tang; Jun Yang 019; Jun Yan 007; Zhili Zeng; Haibo He (IJCNN, 2014)

Reactive power control of grid-connected wind farm based on adaptive dynamic programming. - Yufei Tang; Haibo He; Zhen Ni; Jinyu Wen; Xianchao Sui (Neurocomputing, 2014)

Resilience Analysis of Power Grids Under the Sequential Attack. - Yihai Zhu; Jun Yan 007; Yufei Tang; Yan Lindsay Sun; Haibo He (IEEE Trans. Inf. Forensics Secur., 2014)

Smart Grid Vulnerability under Cascade-Based Sequential Line-Switching Attacks. - Jun Yan 007; Yufei Tang; Yihai Zhu; Haibo He; Yan Sun 001 (GLOBECOM, 2015)

Diversity of cascading failure processes in electrical grids. - Yihai Zhu; Jun Yan 007; Yufei Tang; Yan Lindsay Sun; Haibo He (ISGT, 2015)

An Improved SVM-Based Cognitive Diagnosis Algorithm for Operation States of Distribution Grid. - Jun Yang 019; Lingyun Gong; Yufei Tang; Jun Yan 007; Haibo He; Leiqi Zhang; Gang Li (Cogn. Comput., 2015)

Intelligent load frequency controller using GrADP for island smart grid with electric vehicles and renewable resources. - Yufei Tang; Jun Yang 019; Jun Yan 007; Haibo He (Neurocomputing, 2015)

Joint Substation-Transmission Line Vulnerability Assessment Against the Smart Grid. - Yihai Zhu; Jun Yan 007; Yufei Tang; Yan Lindsay Sun; Haibo He (IEEE Trans. Inf. Forensics Secur., 2015)

Power System Stability Control for a Wind Farm Based on Adaptive Dynamic Programming. - Yufei Tang; Haibo He; Jinyu Wen; Ju Liu (IEEE Trans. Smart Grid, 2015)

Fuzzy-Based Goal Representation Adaptive Dynamic Programming. - Yufei Tang; Haibo He; Zhen Ni; Xiangnan Zhong; Dongbin Zhao; Xin Xu 001 (IEEE Trans. Fuzzy Syst., 2016)

Adaptive Modulation for DFIG and STATCOM With High-Voltage Direct Current Transmission. - Yufei Tang; Haibo He; Zhen Ni; Jinyu Wen; Tingwen Huang (IEEE Trans. Neural Networks Learn. Syst., 2016)

Near-space aerospace vehicles attitude control based on adaptive dynamic programming and sliding mode control. - Yufei Tang; Chaoxu Mu; Haibo He (IJCNN, 2017)

Dynamic event monitoring using unsupervised feature learning towards smart grid big data. - Yufei Tang; Jun Yang 019 (IJCNN, 2017)

A chance constrained optimal reserve scheduling approach for economic dispatch considering wind penetration. - Yufei Tang; Chao Luo; Jun Yang 019; Haibo He (IEEE CAA J. Autom. Sinica, 2017)

Improved Sliding Mode Design for Load Frequency Control of Power System Integrated an Adaptive Learning Strategy. - Chaoxu Mu; Yufei Tang; Haibo He (IEEE Trans. Ind. Electron., 2017)

Q-Learning-Based Vulnerability Analysis of Smart Grid Against Sequential Topology Attacks. - Jun Yan 007; Haibo He; Xiangnan Zhong; Yufei Tang (IEEE Trans. Inf. Forensics Secur., 2017)

Stacked Multilevel-Denoising Autoencoders: A New Representation Learning Approach for Wind Turbine Gearbox Fault Diagnosis. - Guoqian Jiang; Haibo He; Ping Xie; Yufei Tang (IEEE Trans. Instrum. Meas., 2017)

Bidirectional Long Short-Term Memory Networks for Rapid Fault Detection in Marine Hydrokinetic Turbines. - David Wilson; Sean Passmore; Yufei Tang; James H. VanZwieten (ICMLA, 2018)

How Can Cyber-Physical Interdependence Affect the Mitigation of Cascading Power Failure? - Mingkui Wei; Zhuo Lu; Yufei Tang; Xiang Lu (INFOCOM, 2018)

In-Stream Hydrokinetic Turbine Fault Detection and Fault Tolerant Control - A Benchmark Model. - Yufei Tang; James H. VanZwieten; Broc Dunlap; David Wilson; Cornel Sultan; Nikolaos I. Xiros (ACC, 2019)

TA-BLSTM: Tag Attention-based Bidirectional Long Short-Term Memory for Service Recommendation in Mashup Creation. - Min Shi 001; Yufei Tang; Jianxun Liu 001 (IJCNN, 2019)

A Deep Imbalanced Learning Framework for Transient Stability Assessment of Power System. - Bendong Tan; Jun Yang 019; Yufei Tang; Shengbo Jiang; Peiyuan Xie; Wen Yuan (IEEE Access, 2019)

Cyber and physical interactions to combat failure propagation in smart grid: Characterization, analysis and evaluation. - Mingkui Wei; Zhuo Lu; Yufei Tang; Xiang Lu (Comput. Networks, 2019)

Feature-Attention Graph Convolutional Networks for Noise Resilient Learning. - Min Shi 001; Yufei Tang; Xingquan Zhu 001; Jianxun Liu 001 (CoRR, 2019)

Functional and Contextual Attention-Based LSTM for Service Recommendation in Mashup Creation. - Min Shi 001; Yufei Tang; Jianxun Liu 001 (IEEE Trans. Parallel Distributed Syst., 2019)

Analytic Estimation Method of Forced Oscillation Amplitude Under Stochastic Continuous Disturbances. - Hongyu Li; Ping Ju; Chun Gan; Yufei Tang; Yiping Yu; Yilu Liu 001 (IEEE Trans. Smart Grid, 2019)

Stochastic Optimization of Economic Dispatch for Microgrid Based on Approximate Dynamic Programming. - Hang Shuai; Jiakun Fang; Xiaomeng Ai; Yufei Tang; Jinyu Wen; Haibo He (IEEE Trans. Smart Grid, 2019)

Adaptive Super-Twisting Sliding Mode Control for Ocean Current Turbine-Driven Permanent Magnet Synchronous Generator. - Yufei Tang; Yuantao Zhang; Arezoo Hasankhani; James H. VanZwieten (ACC, 2020)

Multi-Class Imbalanced Graph Convolutional Network Learning. - Min Shi 001; Yufei Tang; Xingquan Zhu 001; David A. Wilson; Jianxun Liu 001 (IJCAI, 2020)

Physics-informed Tensor-train ConvLSTM for Volumetric Velocity Forecasting. - Yu Huang 017; Yufei Tang; Hanqi Zhuang; James H. VanZwieten; Laurent M. Chérubin (CoRR, 2020)

Evolutionary Architecture Search for Graph Neural Networks. - Min Shi 001; David A. Wilson; Xingquan Zhu 001; Yu Huang 017; Yuan Zhuang 001; Jianxun Liu 001; Yufei Tang (CoRR, 2020)

Topical network embedding. - Min Shi 001; Yufei Tang; Xingquan Zhu 001; Jianxun Liu 001; Haibo He (Data Min. Knowl. Discov., 2020)

MLNE: Multi-Label Network Embedding. - Min Shi 001; Yufei Tang; Xingquan Zhu 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Topic-aware Web Service Representation Learning. - Min Shi 001; Yufei Tang; Xingquan Zhu 001; Jianxun Liu 001 (ACM Trans. Web, 2020)

GraSSNet: Graph Soft Sensing Neural Networks. - Yu Huang 017; Chao Zhang 050; Jaswanth K. Yella; Sergei Petrov; Xiaoye Qian; Yufei Tang; Xingquan Zhu 001; Sthitie Bom (IEEE BigData, 2021)

Comparison of Deep Reinforcement Learning and Model Predictive Control for Real-Time Depth Optimization of a Lifting Surface Controlled Ocean Current Turbine. - Arezoo Hasankhani; Yufei Tang; James H. VanZwieten; Cornel Sultan (CCTA, 2021)

GAEN: Graph Attention Evolving Networks. - Min Shi 001; Yu Huang 017; Xingquan Zhu 001; Yufei Tang; Yuan Zhuang 001; Jianxun Liu 001 (IJCAI, 2021)

ALGNN: Auto-Designed Lightweight Graph Neural Network. - Rongshen Cai; Qian Tao; Yufei Tang; Min Shi 001 (PRICAI (1), 2021)

Deep Learning Based Multi-Label Attack Detection for Distributed Control of AC Microgrids. - Sheik M. Mohiuddin; Junjian Qi; Sasha Fung; Yu Huang 017; Yufei Tang (SmartGridComm, 2021)

Learning-based control for discrete-time constrained nonzero-sum games. - Chaoxu Mu; Jiangwen Peng; Yufei Tang (CAAI Trans. Intell. Technol., 2021)

SSAE-MLP: Stacked sparse autoencoders-based multi-layer perceptron for main bearing temperature prediction of large-scale wind turbines. - Xiaocong Xiao; Jianxun Liu 001; Deshun Liu; Yufei Tang; Juchuan Dai; Fan Zhang (Concurr. Comput. Pract. Exp., 2021)

Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems. - Yu Huang 017; Yufei Tang; Xingquan Zhu 001; Min Shi 001; Ali Muhamed Ali; Hanqi Zhuang; Laurent M. Chérubin (CoRR, 2021)

ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting. - Yu Huang 017; James Li; Min Shi 001; Hanqi Zhuang; Xingquan Zhu 001; Laurent M. Chérubin; James H. VanZwieten; Yufei Tang (CoRR, 2021)

Physics-Informed Tensor-Train ConvLSTM for Volumetric Velocity Forecasting of the Loop Current. - Yu Huang 017; Yufei Tang; Hanqi Zhuang; James H. VanZwieten; Laurent M. Chérubin (Frontiers Artif. Intell., 2021)

Initial Development of the Hybrid Aerial Underwater Robotic System (HAUCS): Internet of Things (IoT) for Aquaculture Farms. - Bing Ouyang; Paul S. Wills; Yufei Tang; Jason O. Hallstrom; Tsung-Chow Su; Kamesh Namuduri; Srijita Mukherjee; Jose Ignacio Rodriguez-Labra; Yanjun Li 003; Casey J. Den Ouden (IEEE Internet Things J., 2021)

Optimally Allocating Energy Storage for Active Distribution Networks to Reduce the Risk Under N-1 Contingencies. - Tao Ding 001; Chunzhu Li; Xiyuan Liu; Haipeng Xie; Yufei Tang; Can Huang 006 (IEEE Syst. J., 2021)

Mashup tag completion with attention-based topic model. - Min Shi 001; Yufei Tang; Yu Huang 017; Maohua Lin (Serv. Oriented Comput. Appl., 2021)

A Topic-Sensitive Method for Mashup Tag Recommendation Utilizing Multi-Relational Service Data. - Min Shi 001; Jianxun Liu 001; Dong Zhou 001; Yufei Tang (IEEE Trans. Serv. Comput., 2021)

Integrated Path Planning and Tracking Control of Marine Current Turbine in Uncertain Ocean Environments. - Arezoo Hasankhani; Ertugrul Baris Ondes; Yufei Tang; Cornel Sultan; James H. VanZwieten (ACC, 2022)

Real-Time Vertical Path Planning Using Model Predictive Control for an Autonomous Marine Current Turbine. - Arezoo Hasankhani; Yufei Tang; Yu Huang 017; James H. VanZwieten (CCTA, 2022)

Control Co-Design for Buoyancy-Controlled MHK Turbine: A Nested Optimization of Geometry and Spatial-Temporal Path Planning. - Arezoo Hasankhani; Yufei Tang; Austin Snyder; James H. VanZwieten; Wei Qiao (CCTA, 2022)

DH-HGCN: Dual Homogeneity Hypergraph Convolutional Network for Multiple Social Recommendations. - Jiadi Han; Qian Tao; Yufei Tang; Yuhan Xia (SIGIR, 2022)

Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems. - Yu Huang 017; Yufei Tang; Xingquan Zhu 001; Hanqi Zhuang; Laurent M. Chérubin (IEEE Access, 2022)

CCN-CL: A content-noise complementary network with contrastive learning for low-dose computed tomography denoising. - Yufei Tang; Qiang Du; Jiping Wang; Zhongyi Wu; Yunxiang Li; Ming Li; Xiaodong Yang 005; Jian Zheng 001 (Comput. Biol. Medicine, 2022)

Reliable machine prognostic health management in the presence of missing data. - Yu Huang 017; Yufei Tang; James H. VanZwieten; Jianxun Liu 001 (Concurr. Comput. Pract. Exp., 2022)

Genetic-GNN: Evolutionary architecture search for Graph Neural Networks. - Min Shi 001; Yufei Tang; Xingquan Zhu 001; Yu Huang 017; David A. Wilson; Yuan Zhuang 001; Jianxun Liu 001 (Knowl. Based Syst., 2022)

Spatiotemporal Deep-Learning-Based Algal Bloom Prediction for Lake Okeechobee Using Multisource Data Fusion. - Yufei Tang; Yingqi Feng; Sasha Fung; Veronica Ruiz Xomchuk; Mingshun Jiang; Tim Moore; Jordon Beckler (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Multi-Label Graph Convolutional Network Representation Learning. - Min Shi 001; Yufei Tang; Xingquan Zhu 001; Jianxun Liu 001 (IEEE Trans. Big Data, 2022)

Feature-Attention Graph Convolutional Networks for Noise Resilient Learning. - Min Shi 001; Yufei Tang; Xingquan Zhu 001; Yuan Zhuang 001; Maohua Lin; Jianxun Liu 001 (IEEE Trans. Cybern., 2022)

Prognostics With Variational Autoencoder by Generative Adversarial Learning. - Yu Huang 017; Yufei Tang; James H. VanZwieten (IEEE Trans. Ind. Electron., 2022)

Topology and Content Co-Alignment Graph Convolutional Learning. - Min Shi 001; Yufei Tang; Xingquan Zhu 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Web Service Network Embedding Based on Link Prediction and Convolutional Learning. - Min Shi 001; Yuan Zhuang 001; Yufei Tang; Maohua Lin; Xingquan Zhu 001; Jianxun Liu 001 (IEEE Trans. Serv. Comput., 2022)

Reinforcement Learning for Underwater Spatiotemporal Path Planning, with Application to an Autonomous Marine Current Turbine. - Arezoo Hasankhani; Yufei Tang; James H. VanZwieten (ACC, 2023)

A ChatGPT-like Solution for Power Transformer Condition Monitoring. - Joseph Accurso; Raul Mendy; Aira Torres; Yufei Tang (ICMLA, 2023)

X-ray CT image denoising with MINF: A modularized iterative network framework for data from multiple dose levels. - Qiang Du; Yufei Tang; Jiping Wang; Xiaowen Hou; Zhongyi Wu; Ming Li; Xiaodong Yang 005; Jian Zheng 001 (Comput. Biol. Medicine, 2023)

A self-supervised guided knowledge distillation framework for unpaired low-dose CT image denoising. - Jiping Wang; Yufei Tang; Zhongyi Wu; Qiang Du; Libing Yao; Xiaodong Yang 005; Ming Li; Jian Zheng 001 (Comput. Medical Imaging Graph., 2023)

Marine Current Turbine Multifault Diagnosis Based on Optimization Resampled Modulus Feature and 1-D-CNN. - Tao Xie 009; Wei-Dong Zhang 004; Yibo Zhang 001; Zahoor Ahmed; Yufei Tang (IEEE Trans. Instrum. Meas., 2023)

Algebraic Structure Based Clustering Method from Granular Computing Prospective. - Linshu Chen; Fuhui Shen; Yufei Tang; Xiaoliang Wang 002; Jiangyang Wang (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2023)

Spatiotemporal Optimization for Vertical Path Planning of an Ocean Current Turbine. - Arezoo Hasankhani; Yufei Tang; James H. VanZwieten; Cornel Sultan (IEEE Trans. Control. Syst. Technol., 2023)

Low-Dose CT Image Synthesis for Domain Adaptation Imaging Using a Generative Adversarial Network With Noise Encoding Transfer Learning. - Ming Li; Jiping Wang; Yang Chen 008; Yufei Tang; Zhongyi Wu; Yujin Qi; Haochuan Jiang; Jian Zheng 001; Benjamin M. W. Tsui (IEEE Trans. Medical Imaging, 2023)

Vehicular Resilient Control Strategy for a Platoon of Self-Driving Vehicles under DoS Attack. - Hassan Mokari; Yufei Tang (CCTA, 2024)

Adaptive noise-aware denoising network: Effective denoising for CT images with varying noise intensity. - Haoyang Jin; Yufei Tang; Feiyang Liao; Qiang Du; Zhongyi Wu; Ming Li; Jian Zheng 001 (Biomed. Signal Process. Control., 2024)

Domain adaptive noise reduction with iterative knowledge transfer and style generalization learning. - Yufei Tang; Tianling Lyu; Haoyang Jin; Qiang Du; Jiping Wang; Yunxiang Li; Ming Li; Yang Chen 008; Jian Zheng 001 (Medical Image Anal., 2024)

SPiForest: An Anomaly Detecting Algorithm Using Space Partition Constructed by Probability Density-Based Inverse Sampling. - Xiansheng Yang; Yuan Zhuang 001; Min Shi 001; Xiaoxiang Cao; Dong Chen; Yufei Tang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Dual Homogeneity Hypergraph Motifs with Cross-view Contrastive Learning for Multiple Social Recommendations. - Jiadi Han; Yufei Tang; Qian Tao; Yuhan Xia; Liming Zhang (ACM Trans. Knowl. Discov. Data, 2024)

A Physical-Feature Interactive Expansion-Based Fault Diagnosis Method With Applications to Marine Current Turbines. - Tao Xie 009; Weidong Zhang 004; Yufei Tang; Hongtian Chen (IEEE Trans. Ind. Electron., 2024)

3D-SeqMOS: A Novel Sequential 3D Moving Object Segmentation in Autonomous Driving. - Yuan Zhuang 001; Qipeng Li; Yiwen Chen; Jianzhu Huai; Miao Li 002; Tianbing Ma; Yufei Tang; Xinlian Liang (IEEE Trans. Intell. Transp. Syst., 2024)

OTEC Supported Energy System for Offshore Fish Farming: A Bi-Level Optimization Approach for Sizing and Operation. - Mahsan Sadoughipour; Sasha Fung; Yufei Tang; James H. VanZwieten (ACC, 2025)

OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories. - Bo Li 042; Yingqi Feng; Ming Jin 005; Xin Zheng 008; Yufei Tang; Laurent M. Chérubin; Can Wang 004; Alan Wee-Chung Liew; Qinghua Lu 001; Jingwei Yao; Hong Zhang; Shirui Pan; et al. (CIKM, 2025)

Beyond Sliders: Mastering the Art of Diffusion-based Image Manipulation. - Yufei Tang; Daiheng Gao; Pingyu Wu; Wenbo Zhou 004; Bang Zhang; Weiming Zhang 001 (ICME, 2025)

Explainable Graph Neural Networks for Power Grid Fault Detection. - Richard Bosso; Corey Chang; Mahdi Zarif; Yufei Tang (IEEE Access, 2025)

Multi-relation graph contrastive learning with adaptive strategy for social recommendation. - Yuhan Xia; Yufei Tang; Bohang Yang; Chenghao Liu; Qian Tao (Neurocomputing, 2025)

Combining Knowledge Graph and LLMs for Enhanced Zero-shot Visual Question Answering. - Qian Tao; Xiaoyang Fan; Yong Xu; Xingquan Zhu 001; Yufei Tang (CoRR, 2025)

Automatic Design of Deep Graph Neural Networks With Decoupled Mode. - Qian Tao; Rongshen Cai; Zicheng Lin; Yufei Tang (IEEE Trans. Neural Networks Learn. Syst., 2025)

QvTAD: Differential Relative Attribute Learning for Voice Timbre Attribute Detection. - Zhiyu Wu; Jingyi Fang; Yufei Tang; Yuanzhong Zheng; Yaoxuan Wang; Haojun Fei (CoRR, 2025)

Domain Progressive Low-Dose CT Imaging Using Iterative Partial Diffusion Model. - Feiyang Liao; Yufei Tang; Qiang Du; Jiping Wang; Ming Li; Jian Zheng 001 (IEEE Trans. Medical Imaging, 2025)

Physics-informed machine learning for advancing computational medical imaging: integrating data-driven approaches with fundamental physical principles. - Mohsen Ahmadi; Debojit Biswas; Maohua Lin; Frank D. Vrionis; Javad Hashemi; Yufei Tang (Artif. Intell. Rev., 2025)

Revoking Amnesia: RL-based Trajectory Optimization to Resurrect Erased Concepts in Diffusion Models. - Daiheng Gao; Nanxiang Jiang; Andi Zhang; Shilin Lu; Yufei Tang; Wenbo Zhou 004; Weiming Zhang 001; Zhaoxin Fan (CoRR, 2025)