Neural Network-Based Robust Adaptive Beamforming. - Xin Song; Jinkuan Wang; Yinghua Han; Dan Tian (IJCNN, 2006)

Optimal Adaptive Waveform Selection Based on ADP in Cognitive Radar. - Bin Wang 011; Jinkuan Wang; Xin Song; Yinghua Han (CSIE (5), 2009)

A two-stage approach to estimate parameters of locally distributed source. - Yinghua Han; Jinkuan Wang; Qiang Zhao 002; Bin Wang 011 (ICNSC, 2010)

Robust constrained CMA based on quadratic constraint. - Xin Song; Jinkuan Wang; Yinghua Han; Bin Wang 011 (ICNSC, 2010)

Research on Adaptive Waveform Selection Algorithm in Cognitive Radar. - Bin Wang 011; Jinkuan Wang; Xin Song; Yinghua Han (J. Commun., 2010)

Temporal Difference Learning Waveform Selection. - Bin Wang 011; Jinkuan Wang; Xin Song; Yinghua Han (J. Comput., 2010)

Robust Constrained CMA Based on a Bayesian Approach under Quadratic Constraint. - Xin Song; Jinkuan Wang; Bin Wang 011; Yinghua Han (J. Networks, 2010)

Research on Model and Algorithm of Waveform Selection in Cognitive Radar. - Bin Wang 011; Jinkuan Wang; Xin Song; Yinghua Han (J. Networks, 2010)

An efficient DOA tracking algorithm for coherently distributed source. - Yinghua Han; Jinkuan Wang; Qiang Zhao 002; Jing Gao (ISCIT, 2011)

Decoupled 2-D DOA Estimation Algorithm Based on Cross-Correlation Matrix for Coherently Distributed Source. - Yinghua Han; Jinkuan Wang; Qiang Zhao 002; Peng Han (ICONIP (3), 2012)

The Central DOA Estimation Algorithm Based on Support Vector Regression for Coherently Distributed Source. - Yinghua Han; Jinkuan Wang (J. Softw., 2012)

Cognitive radio networks for smart grid communications. - Fang Liu; Jinkuan Wang; Yinghua Han; Peng Han (ASCC, 2013)

H-inf channel estimation for MIMO-OFDM systems in the presence of carrier frequency offset. - Peng Xu; Jinkuan Wang; Yinghua Han; Feng Qi (WCNC, 2013)

A Fast Decoupled Nominal 2-D Direction-of-Arrival Estimation for Coherently Distributed Source. - Yinghua Han; Jinkuan Wang; Qiang Zhao 002; Bin Wang 011 (Wirel. Pers. Commun., 2013)

A Dynamic Optimal Pilot Design Method for OFDM Systems. - Yinghua Han; Jinkuan Wang; Qiang Zhao 002 (Circuits Syst. Signal Process., 2014)

Hierarchical Agent-Based Integrated Modelling Approach for Microgrids with Adoption of EVs and HRES. - Peng Han; Jinkuan Wang; Yan Li; Yinghua Han (J. Appl. Math., 2014)

An Optimal Operating Strategy for Battery Life Cycle Costs in Electric Vehicles. - Yinghua Han; Jinkuan Wang; Qiang Zhao 002; Peng Han (J. Appl. Math., 2014)

A Data Streams Analysis Strategy Based on Hadoop Scheduling Optimization for Smart Grid Application. - Fengquan Zhou; Xin Song; Yinghua Han; Jing Gao (FAW, 2015)

A Novel Optimization of Plug-In Electric Vehicles Charging and Discharging Behaviors in Electrical Distribution Grid. - Haiming Fu; Yinghua Han; Jinkuan Wang; Qiang Zhao 002 (J. Electr. Comput. Eng., 2018)

A Semi-supervised Knowledge Assessment Paradigm Based on T-CNN Algorithm for the Industrial Massage System. - Sheng Wang; Jinkuan Wang; Yinghua Han; Qiang Zhao 002 (ICSAI, 2019)

A Tripartite Graph Recommendation Algorithm Based on Item Information and User Preference. - Zhenyu Yao; Jinkuan Wang; Yinghua Han (ICSAI, 2019)

A cognitive control approach for microgrid performance optimization in unstable wireless communication. - Xiaohan Fang; Yinghua Han; Jinkuan Wang; Qiang Zhao 002 (Neurocomputing, 2019)

Electricity Theft Detection in Power Grids with Deep Learning and Random Forests. - Shuan Li; Yinghua Han; Xu Yao; Yingchen Song; Jinkuan Wang; Qiang Zhao 002 (J. Electr. Comput. Eng., 2019)

Temporal Association Rule Mining and Updating and Their Application to Blast Furnace in the Steel Industry. - Yinghua Han; Deshui Yu; Chunhui Yin; Qiang Zhao 002 (Comput. Intell. Neurosci., 2020)

Decarbonization Scheduling Strategy Optimization for Electricity-Gas System Considering Electric Vehicles and Refined Operation Model of Power-to-Gas. - Zhiao Cao; Jinkuan Wang; Qiang Zhao 002; Yinghua Han; Yuchun Li (IEEE Access, 2021)

An Abnormal Data Processing Method Based on An Ensemble Algorithm for Early Warning of Wind Turbine Failure. - Qiang Zhao 002; Kunkun Bao; Zhenfan Wei; Yinghua Han; Jinkuan Wang (IEEE Access, 2021)

TSARM-UDP: An Efficient Time Series Association Rules Mining Algorithm Based on Up-to-Date Patterns. - Qiang Zhao 002; Qing Li 054; Deshui Yu; Yinghua Han (Entropy, 2021)

A Constrained Static Scheduling Strategy in Edge Computing for Industrial Cloud Systems. - Yuliang Ma 001; Yinghua Han; Jinkuan Wang; Qiang Zhao 002 (Int. J. Inf. Technol. Syst. Approach, 2021)

Connectivity Verification in Distribution Systems Using Smart Meter Voltage Analytics: A Cloud-Edge Collaboration Approach. - Fangyuan Si; Yinghua Han; Jinkuan Wang; Qiang Zhao 002 (IEEE Trans. Ind. Informatics, 2021)

Non-intrusive load monitoring based on semi-supervised smooth teacher graph learning with voltage-current trajectory. - Yinghua Han; Keke Li; Hantong Feng; Qiang Zhao 002 (Neural Comput. Appl., 2022)

Risk-Averse Multiobjective Optimization for Integrated Electricity and Heating System: An Augment Epsilon-Constraint Approach. - Fangyuan Si; Jinkuan Wang; Yinghua Han; Qiang Zhao 002 (IEEE Syst. J., 2022)

A Distributed Coordination Method for Coupled Traffic-Power Network Equilibrium Incorporating Behavioral Theory. - Wenjie Qiao; Yinghua Han; Qiang Zhao 002; Fangyuan Si; Jinkuan Wang (IEEE Trans. Veh. Technol., 2022)

Decentralized Optimization of Coupled Power-Transportation Network considering Environment-aware User Behavior. - Zhiao Cao; Yinghua Han; Qiang Zhao 002; Jinkuan Wang; Shuyi Zhao (ICCCS, 2023)

Environmentally Friendly Optimization of Coupled Power-Transportation Network considering Mixed Traffic Flow. - Zhiao Cao; Yinghua Han; Qiang Zhao 002; Shuyi Zhao; Wenzhuo Zhao (EEET, 2023)

False data injection attacks detection with modified temporal multi-graph convolutional network in smart grids. - Yinghua Han; Hantong Feng; Keke Li; Qiang Zhao 002 (Comput. Secur., 2023)

Fault Detection for Process Industries via Temporal CapsNet Encoder-Assisted One-Class Classifier. - Sheng Wang; Qiang Zhao 002; Yinghua Han; Jinkuan Wang (IEEE Trans. Instrum. Meas., 2023)

Unknown Appliances Detection for Non-Intrusive Load Monitoring Based on Conditional Generative Adversarial Networks. - Yinghua Han; Keke Li; Chen Wang; Fangyuan Si; Qiang Zhao 002 (IEEE Trans. Smart Grid, 2023)

Intelligent PID Controller Based on Deep Reinforcement Learning. - Yinhe Zhai; Qiang Zhao 002; Yinghua Han; Jinkuan Wang; Wenying Zeng (ICRCA, 2024)

Detection of False Data Injection Attacks in Cyber-Physical Power Systems: An Adaptive Adversarial Dual Autoencoder With Graph Representation Learning Approach. - Hantong Feng; Yinghua Han; Fangyuan Si; Qiang Zhao 002 (IEEE Trans. Instrum. Meas., 2024)

Reconstruction-Based Supervised Contrastive Learning for Unknown Device Identification in Nonintrusive Load Monitoring. - Yinghua Han; Haoqi Chen; Jingrun Wu; Qiang Zhao 002 (IEEE Trans. Instrum. Meas., 2024)

Multirelational Fusion Graph Convolution Network With Multiscale Residual Network for Fault Diagnosis of Complex Industrial Processes. - Yinghua Han; Siwei Tuo; Yuan Li; Qiang Zhao 002 (IEEE Trans. Instrum. Meas., 2024)

Data-driven reliable prediction of production indicators in the blast furnace using TS fuzzy neural network based on bat algorithm. - Qiang Zhao 002; Yaxin Huo; Meng Li; Yinghua Han (J. Exp. Theor. Artif. Intell., 2024)

Enhancing Grid-Interactive Buildings Demand Response: Sequential Update-Based Multiagent Deep Reinforcement Learning Approach. - Yinghua Han; Jingrun Wu; Haoqi Chen; Fangyuan Si; Zhiao Cao; Qiang Zhao 002 (IEEE Internet Things J., 2024)

Smart residential electric vehicle charging and discharging scheduling via multi-agent asynchronous-updating deep reinforcement learning. - Qiang Zhao 002; Chengwei Xu; Chuan Sun; Yinghua Han (Comput. Electr. Eng., 2025)

Enhancing Root Cause Diagnosis for Industrial Process Faults: Asymmetric Sparsemax-Driven Predictive Modeling. - Sheng Wang; Qiang Zhao 002; Yuchun Li; Yinghua Han; Jinkuan Wang (IEEE Trans. Instrum. Meas., 2025)

A Deep Reinforcement Learning-Based Multiobjective Charging Scheduling Method for Electric Vehicle Charging Station. - Qiang Zhao 002; Wenwei Wu; Ningyu Cheng; Ge Guo 001; Yinghua Han (IEEE Internet Things J., 2025)