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Switched Control Strategies of Aggregated Commercial HVAC Systems for Demand Response in Smart Grids

Energies (Basel), 2017-07, Vol.10 (7), p.953

2017

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Predicting bacterial infection risk in patients with ANCA-associated vasculitis in southwest China: development of a new nomogram

Clinical rheumatology, 2022-11, Vol.41 (11), p.3451-3460

2022

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Controller design and parameter optimization of aggregated thermostatically controlled loads for frequency regulation

2016 35th Chinese Control Conference (CCC), 2016, p.10035-10040

2016

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Optimising regulation of aggregated thermostatically controlled loads based on multi-swarm PSO

IET generation, transmission & distribution, 2018-05, Vol.12 (10), p.2340-2346

2018

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Hybrid control of aggregated thermostatically controlled loads: step rule, parameter optimisation, parallel and cascade structures

IET generation, transmission & distribution, 2016-12, Vol.10 (16), p.4149-4157

2016

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A pricing strategy for demand-side regulation with direct load control: a nonconvex optimisation approach

International Journal of System Control and Information Processing, 2017, Vol.2 (1), p.74

2017

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A pricing strategy for demand-side regulation with direct load control: a nonconvex optimisation approach

International Journal of System Control and Information Processing, 2017, Vol.2 (1), p.74

2017

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A Potential Threat Risk Evaluation Method for Nuclear Facilities

Proceedings of the 23rd Pacific Basin Nuclear Conference, Volume 2, 2023, p.419-427

2023

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Single-cell RNA landscape of intratumoral heterogeneity and immunosuppressive microenvironment in advanced osteosarcoma

Nature communications, 2020-12, Vol.11 (1), p.6322-6322, Article 6322

2020

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Learning Deep Multimanifold Structure Feature Representation for Quality Prediction With an Industrial Application

IEEE transactions on industrial informatics, 2022-09, Vol.18 (9), p.5849-5858

2022

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Deep learning with neighborhood preserving embedding regularization and its application for soft sensor in an industrial hydrocracking process

Information sciences, 2021-08, Vol.567, p.42-57

2021

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Stacked locality preserving autoencoder for feature extraction and its application for industrial process data modeling

Chemometrics and intelligent laboratory systems, 2020-08, Vol.203, p.104086, Article 104086

2020

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Generation of elliptic perfect optical vortex and elliptic perfect vector beam by modulating the dynamic and geometric phase

Applied physics letters, 2018-09, Vol.113 (12)

2018

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Generation of optical vortex array along arbitrary curvilinear arrangement

Optics express, 2018-04, Vol.26 (8), p.9798-9812

2018

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Graph kernel based link prediction for signed social networks

Information fusion, 2019-03, Vol.46, p.1-10

2019

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Deep learning with nonlocal and local structure preserving stacked autoencoder for soft sensor in industrial processes

Engineering applications of artificial intelligence, 2021-09, Vol.104, p.104341, Article 104341

2021

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Generation of arbitrary perfect Poincaré beams

Journal of applied physics, 2019-02, Vol.125 (7)

2019

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Shaping of optical vector beams in three dimensions

Optics letters, 2017-10, Vol.42 (19), p.3884-3887

2017

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Semi-supervised deep embedded clustering with pairwise constraints and subset allocation

Neural networks, 2023-07, Vol.164, p.310-322

2023

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Multirate-Former: An Efficient Transformer-Based Hierarchical Network for Multistep Prediction of Multirate Industrial Processes

IEEE transactions on instrumentation and measurement, 2024, Vol.73, p.1-13

2024

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Domain adaptation for few-sample nonlinear process monitoring with deep networks

Information sciences, 2023-06, Vol.629, p.456-470

2023

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Glenoid Track Width Is Smaller Under Dynamic Conditions: An In Vivo Dual-Fluoroscopy Imaging Study

The American journal of sports medicine, 2022-12, Vol.50 (14), p.3881-3888

2022

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Unlocking operational excellence: A deep dive into a communication-driven multi-strategy state transition algorithm for industrial process optimization

Chemometrics and intelligent laboratory systems, 2023-09, Vol.240, p.104934, Article 104934

2023

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Research Progress on the Effects of Support and Support Modification on the FTO Reaction Performance of Fe-Based Catalysts

Molecules (Basel, Switzerland), 2023-11, Vol.28 (23), p.7749

2023

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Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes

IEEE transactions on industrial informatics, 2023-09, Vol.19 (9), p.9325-9336

2023

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Switched Control Strategies of Aggregated Commercial HVAC Systems for Demand Response in Smart Grids

Predicting bacterial infection risk in patients with ANCA-associated vasculitis in southwest China: development of a new nomogram

Controller design and parameter optimization of aggregated thermostatically controlled loads for frequency regulation

Optimising regulation of aggregated thermostatically controlled loads based on multi-swarm PSO

Hybrid control of aggregated thermostatically controlled loads: step rule, parameter optimisation, parallel and cascade structures

A pricing strategy for demand-side regulation with direct load control: a nonconvex optimisation approach

A pricing strategy for demand-side regulation with direct load control: a nonconvex optimisation approach

A Potential Threat Risk Evaluation Method for Nuclear Facilities

Single-cell RNA landscape of intratumoral heterogeneity and immunosuppressive microenvironment in advanced osteosarcoma

Learning Deep Multimanifold Structure Feature Representation for Quality Prediction With an Industrial Application

Deep learning with neighborhood preserving embedding regularization and its application for soft sensor in an industrial hydrocracking process

Stacked locality preserving autoencoder for feature extraction and its application for industrial process data modeling

Generation of elliptic perfect optical vortex and elliptic perfect vector beam by modulating the dynamic and geometric phase

Generation of optical vortex array along arbitrary curvilinear arrangement

Graph kernel based link prediction for signed social networks

Deep learning with nonlocal and local structure preserving stacked autoencoder for soft sensor in industrial processes

Generation of arbitrary perfect Poincaré beams

Shaping of optical vector beams in three dimensions

Semi-supervised deep embedded clustering with pairwise constraints and subset allocation

Multirate-Former: An Efficient Transformer-Based Hierarchical Network for Multistep Prediction of Multirate Industrial Processes

Domain adaptation for few-sample nonlinear process monitoring with deep networks

Glenoid Track Width Is Smaller Under Dynamic Conditions: An In Vivo Dual-Fluoroscopy Imaging Study

Unlocking operational excellence: A deep dive into a communication-driven multi-strategy state transition algorithm for industrial process optimization

Research Progress on the Effects of Support and Support Modification on the FTO Reaction Performance of Fe-Based Catalysts

Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes

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