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Efficient Greedy LLL Algorithms for Lattice Decoding

IEEE transactions on wireless communications, 2016-05, Vol.15 (5), p.3560-3572

2016

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An efficient local multi‐energy systems planning method with long‐term storage

IET renewable power generation, 2024-02, Vol.18 (3), p.426-441

2024

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A Class of Low Complexity PTS Techniques for PAPR Reduction in OFDM Systems

IEEE signal processing letters, 2007-10, Vol.14 (10), p.680-683

2007

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Adaptive probabilistic load forecasting for individual buildings

iEnergy (Piscataway, N.J.), 2022-09, Vol.1 (3), p.341-350

2022

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Fixed-complexity variants of the effective LLL algorithm with greedy convergence for MIMO detection

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.3826-3830

2016

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An Efficient Greedy LLL Algorithm for MIMO Detection

2014 IEEE Military Communications Conference, 2014, p.550-555

2014

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Robust Load Forecasting Towards Adversarial Attacks via Bayesian Learning

IEEE transactions on power systems, 2023-03, Vol.38 (2), p.1445-1459

2023

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Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series

IEEE transactions on knowledge and data engineering, 2023-06, Vol.35 (6), p.6058-6072

2023

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Improving Load Forecasting Performance via Sample Reweighting

IEEE transactions on smart grid, 2023-07, Vol.14 (4), p.3317-3320

2023

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Load Data Valuation in Multi-Energy Systems: An End-to-end Approach

IEEE transactions on smart grid, 2024, p.1-1

2024

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Fixed-point realization of lattice-reduction aided MIMO receivers with complex K-best algorithm

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013, p.5031-5035

2013

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A Cyber-Physical-Social Perspective on Future Smart Distribution Systems

Proceedings of the IEEE, 2023-07, Vol.111 (7), p.694-724

2023

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Personalized Federated DARTS for Electricity Load Forecasting of Individual Buildings

IEEE transactions on smart grid, 2023-11, Vol.14 (6), p.1-1

2023

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Federated fuzzy k-means for privacy-preserving behavior analysis in smart grids

Applied energy, 2023-02, Vol.331, p.120396, Article 120396

2023

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A Global Modeling Framework for Load Forecasting in Distribution Networks

IEEE transactions on smart grid, 2023-11, Vol.14 (6), p.1-1

2023

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RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection

Proceedings of the 2021 International Conference on Management of Data, 2021, p.2328-2337

2021

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Federated Domain Separation for Distributed Forecasting of Non-IID Household Loads

IEEE transactions on smart grid, 2024-07, Vol.15 (4), p.4271-4283

2024

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Foundation Models for Education: Promises and Prospects

IEEE intelligent systems, 2024-05, Vol.39 (3), p.20-24

2024

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Detection and time–frequency analysis of multiple plant-wide oscillations using adaptive multivariate intrinsic chirp component decomposition

Control engineering practice, 2023-12, Vol.141, p.105715, Article 105715

2023

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Weakly Guided Adaptation for Robust Time Series Forecasting

Proceedings of the VLDB Endowment, 2023-12, Vol.17 (4), p.766-779

2023

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Robust Dominant Periodicity Detection for Time Series with Missing Data

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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A Cyber–Physical–Social Perspective on Future Smart Distribution Systems

Proceedings of the IEEE, 2022-01

2022

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A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

IEEE transactions on pattern analysis and machine intelligence, 2024-08, Vol.PP, p.1-20

2024

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Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects

IEEE transactions on pattern analysis and machine intelligence, 2024-04, Vol.PP, p.1-20

2024

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Two-Stage Framework for Seasonal Time Series Forecasting

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.3530-3534

2021

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Efficient Greedy LLL Algorithms for Lattice Decoding

An efficient local multi‐energy systems planning method with long‐term storage

A Class of Low Complexity PTS Techniques for PAPR Reduction in OFDM Systems

Adaptive probabilistic load forecasting for individual buildings

Fixed-complexity variants of the effective LLL algorithm with greedy convergence for MIMO detection

An Efficient Greedy LLL Algorithm for MIMO Detection

Robust Load Forecasting Towards Adversarial Attacks via Bayesian Learning

Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series

Improving Load Forecasting Performance via Sample Reweighting

Load Data Valuation in Multi-Energy Systems: An End-to-end Approach

Fixed-point realization of lattice-reduction aided MIMO receivers with complex K-best algorithm

A Cyber-Physical-Social Perspective on Future Smart Distribution Systems

Personalized Federated DARTS for Electricity Load Forecasting of Individual Buildings

Federated fuzzy k-means for privacy-preserving behavior analysis in smart grids

A Global Modeling Framework for Load Forecasting in Distribution Networks

RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection

Federated Domain Separation for Distributed Forecasting of Non-IID Household Loads

Foundation Models for Education: Promises and Prospects

Detection and time–frequency analysis of multiple plant-wide oscillations using adaptive multivariate intrinsic chirp component decomposition

Weakly Guided Adaptation for Robust Time Series Forecasting

Robust Dominant Periodicity Detection for Time Series with Missing Data

A Cyber–Physical–Social Perspective on Future Smart Distribution Systems

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects

Two-Stage Framework for Seasonal Time Series Forecasting

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