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A Novel Data-Driven Situation Awareness Approach for Future Grids-Using Large Random Matrices for Big Data Modeling

IEEE access, 2018-01, Vol.6, p.13855-13865

2018

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Spectrum Concentration in Deep Residual Learning: A Free Probability Approach

IEEE access, 2019, Vol.7, p.105212-105223

2019

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Designing for Situation Awareness of Future Power Grids: An Indicator System Based on Linear Eigenvalue Statistics of Large Random Matrices

IEEE access, 2016, Vol.4, p.3557-3568

2016

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Massive Streaming PMU Data Modelling and Analytics in Smart Grid State Evaluation based on Multiple High-Dimensional Covariance Test

IEEE transactions on big data, 2018-03, Vol.4 (1), p.55-64

2018

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Detection and Analysis of Multiple Events Based on High-Dimensional Factor Models in Power Grid

Energies (Basel), 2019-04, Vol.12 (7), p.1360

2019

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Event Detection and Identification in Distribution Networks Based on Invertible Neural Networks and Pseudo Labels

Frontiers in energy research, 2022-03, Vol.10

2022

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Invisible Units Detection and Estimation Based on Random Matrix Theory

IEEE transactions on power systems, 2020-05, Vol.35 (3), p.1846-1855

2020

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Spatio-Temporal Correlation Analysis of Online Monitoring Data for Anomaly Detection and Location in Distribution Networks

IEEE transactions on smart grid, 2020-03, Vol.11 (2), p.995-1006

2020

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Optimization Induced Equilibrium Networks: An Explicit Optimization Perspective for Understanding Equilibrium Models

IEEE transactions on pattern analysis and machine intelligence, 2023-03, Vol.45 (3), p.3604-3616

2023

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Event Detection, Localization, and Classification Based on Semi-Supervised Learning in Power Grids

IEEE transactions on power systems, 2023-09, Vol.38 (5), p.4080-4094

2023

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Real-time static voltage stability assessment in large-scale power systems based on spectrum estimation of phasor measurement unit data

International journal of electrical power & energy systems, 2021-01, Vol.124, p.106196, Article 106196

2021

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Early anomaly detection and localisation in distribution network: a data-driven approach

IET generation, transmission & distribution, 2020-09, Vol.14 (18), p.3814-3825

2020

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Brown Measure Based Spectral Distribution Analysis for Spatial-Temporal Localization of Cascading Events in Power Grids

IEEE transactions on smart grid, 2021-03, Vol.12 (2), p.1805-1820

2021

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Codebook Configuration for RIS-Aided Systems via Implicit Neural Representations

ICC 2024 - IEEE International Conference on Communications, 2024, p.1449-1454

2024

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A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location

IEEE transactions on big data, 2021-07, Vol.7 (3), p.548-558

2021

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Mitigating Label Bias in Machine Learning: Fairness through Confident Learning

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2024, Vol.38 (15), p.16917-16925

2024

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Gradient Descent Optimizes Normalization-Free ResNets

2023 International Joint Conference on Neural Networks (IJCNN), 2023, p.1-8

2023

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Spatiotemporal Big Data Analysis for Smart Grids Based on Random Matrix Theory

Transportation and Power Grid in Smart Cities, 2018, p.591-633

1, 2018

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Influence of bio-coupling agent on interfacial interlocking compatibility and toughness of ultrafine bamboo charcoal/polylactic acid composite film

International journal of biological macromolecules, 2024-02, Vol.258 (Pt 2), p.128918-128918, Article 128918

2024

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Bio-based PA-grafted bamboo charcoal for improving the flame retardancy of PLA/PCL film without damaging mechanical properties and degradability

Industrial crops and products, 2024-04, Vol.210, p.118182, Article 118182

2024

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Modeling of Photovoltaic Array Based on Multi-Agent Deep Reinforcement Learning Using Residuals of I–V Characteristics

Energies (Basel), 2022-09, Vol.15 (18), p.6567

2022

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Association of sex hormone-binding globulin with nonalcoholic fatty liver disease in Chinese adults

Nutrition & metabolism, 2018-11, Vol.15 (1), p.79-79, Article 79

2018

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Ultrasound-mediated microbubbles cavitation enhanced chemotherapy of advanced prostate cancer by increasing the permeability of blood-prostate barrier

Translational oncology, 2021-10, Vol.14 (10), p.101177-101177, Article 101177

2021

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Development and Validation of a Prognostic Nomogram for Gastric Signet Ring Cell Carcinoma: A Multicenter Population-Based Study

Frontiers in oncology, 2021-03, Vol.11, p.603031-603031

2021

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Advances in laser processed material of soft sensing and soft actuation

Materials today communications, 2023-12, Vol.37, p.107187, Article 107187

2023

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A Novel Data-Driven Situation Awareness Approach for Future Grids-Using Large Random Matrices for Big Data Modeling

Spectrum Concentration in Deep Residual Learning: A Free Probability Approach

Designing for Situation Awareness of Future Power Grids: An Indicator System Based on Linear Eigenvalue Statistics of Large Random Matrices

Massive Streaming PMU Data Modelling and Analytics in Smart Grid State Evaluation based on Multiple High-Dimensional Covariance Test

Detection and Analysis of Multiple Events Based on High-Dimensional Factor Models in Power Grid

Event Detection and Identification in Distribution Networks Based on Invertible Neural Networks and Pseudo Labels

Invisible Units Detection and Estimation Based on Random Matrix Theory

Spatio-Temporal Correlation Analysis of Online Monitoring Data for Anomaly Detection and Location in Distribution Networks

Optimization Induced Equilibrium Networks: An Explicit Optimization Perspective for Understanding Equilibrium Models

Event Detection, Localization, and Classification Based on Semi-Supervised Learning in Power Grids

Real-time static voltage stability assessment in large-scale power systems based on spectrum estimation of phasor measurement unit data

Early anomaly detection and localisation in distribution network: a data-driven approach

Brown Measure Based Spectral Distribution Analysis for Spatial-Temporal Localization of Cascading Events in Power Grids

Codebook Configuration for RIS-Aided Systems via Implicit Neural Representations

A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location

Mitigating Label Bias in Machine Learning: Fairness through Confident Learning

Gradient Descent Optimizes Normalization-Free ResNets

Spatiotemporal Big Data Analysis for Smart Grids Based on Random Matrix Theory

Influence of bio-coupling agent on interfacial interlocking compatibility and toughness of ultrafine bamboo charcoal/polylactic acid composite film

Bio-based PA-grafted bamboo charcoal for improving the flame retardancy of PLA/PCL film without damaging mechanical properties and degradability

Modeling of Photovoltaic Array Based on Multi-Agent Deep Reinforcement Learning Using Residuals of I–V Characteristics

Association of sex hormone-binding globulin with nonalcoholic fatty liver disease in Chinese adults

Ultrasound-mediated microbubbles cavitation enhanced chemotherapy of advanced prostate cancer by increasing the permeability of blood-prostate barrier

Development and Validation of a Prognostic Nomogram for Gastric Signet Ring Cell Carcinoma: A Multicenter Population-Based Study

Advances in laser processed material of soft sensing and soft actuation

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