李康

2026

先验知识增强的小波时空图网络及其在潜油电泵异常检测中的应用

《中国科学:信息科学》

2026

ST3-KAN2.0: A holistic neural network framework for multi-energy load forecasting in integrated energy systems

Expert systems with applications

DOI

2026

Enhanced robustness of lithium-ion battery equivalent circuit parameter identification via logarithmic transformation and Levenberg-Marquardt algorithm

Journal of Energy Storage

DOI

2026

A DDES-Driven Framework for Hydraulic Radial-Force Reduction in Centrifugal Pumps via Sensitivity Analysis and Surrogate-Based Optimization

Mathematics

DOI

2025

多变量时序标记Transformer及其在电潜泵故障诊断中的应用

《控制与决策》

DOI

2025

Analysis the Composition of Hydraulic Radial Force on Centrifugal Pump Impeller: A Data-Centric Approach Based on CFD Datasets

Applied Sciences

DOI

2025

Analysis of Radial Hydraulic Forces in Centrifugal Pump Operation via Hierarchical Clustering (HC) Algorithms

Applied Sciences

DOI

2024

基于混合模型的强化学习在浮选过程优化控制中的应用

《东北大学学报(自然科学版)》

2024

基于混合整数线性规划的浓密脱水过程协调优化

《控制与决策》

DOI

2023

Entropy generation analysis technique for labyrinth seals – Part 2

Sealing Technology

DOI

2023

Entropy generation analysis technique for labyrinth seals – Part 1

Sealing Technology

DOI

2022

A new power system active rescheduling method considering the dispatchable plug-in electric vehicles and intermittent renewable energies

Applied Energy

DOI

2022

Data-Based Interpretable Modeling for Property Forecasting and Sensitivity Analysis of Li-ion Battery Electrode

Automotive Innovation

DOI

2022

A comprehensive review on deep learning approaches in wind forecasting applications

CAAI Transactions on Intelligence Technology

DOI

2021

Classifications of Lithium-Ion Battery Electrode Property Based on Support Vector Machine with Various Kernels

Communications in Computer and Information Science

DOI

2021

Recovering large-scale battery aging dataset with machine learning

Patterns

DOI

2021

Three-State Markov Chain Based Reliability Analysis of Complex Traction Power Supply Systems

International Conference on System Reliability and Safety

DOI

2020

A Sparse Learning Machine for Real-Time SOC Estimation of Li-ion Batteries

IEEE Access

DOI

2020

Impact Analysis of False Data Injection Attack on Smart Grid State Estimation Under Random Packet Losses

Communications in Computer and Information Science

DOI

2020

Mass load prediction for lithium-ion battery electrode clean production: A machine learning approach

DOI

2020

Biogeography-based learning particle swarm optimization for combined heat and power economic dispatch problem

Knowledge-Based Systems

DOI

2019

A binary symmetric based hybrid meta-heuristic method for solving mixed integer unit commitment problem integrating with significant plug-in electric vehicles

Energy

DOI

2019

Recent developments of control strategies for organic Rankine cycle (ORC) systems

Transactions of the Institute of Measurement and Control

DOI

2019

A sparse least squares support vector machine used for SOC estimation of Li-ion Batteries

IFAC-PapersOnLine

DOI

2019

Analytical Iterative Multistep Interval Forecasts of Wind Generation Based on TLGP

IEEE Transactions on Sustainable Energy

DOI

2018

Data-Driven Hybrid Internal Temperature Estimation Approach for Battery Thermal Management

Complex

DOI

2018

Intelligent Computing and Internet of Things

Communications in Computer and Information Science

DOI

2018

Advances in Green Energy Systems and Smart Grid

Communications in Computer and Information Science

DOI

2018

Compact real-valued teaching-learning based optimization with the applications to neural network training

Knowledge-Based Systems

DOI

2018

Compact Neural Modeling of Single Flow Zinc-Nickel Batteries Based on Jaya Optimization

IEEE Congress on Evolutionary Computation

DOI

2018

A brief review on key technologies in the battery management system of electric vehicles

Frontiers of Mechanical Engineering

DOI

2018

Multi-objective optimization of charging patterns for lithium-ion battery management

DOI

2017

基于数据的湿法冶金全流程操作量优化设定补偿方法

《自动化学报》

DOI

2017

Heuristic Based Terminal Iterative Learning Control of ISBM Reheating Processes

LSMS/ICSEE

DOI

2017

Control and optimisation for integration of plug-in vehicles in smart grid

DOI

2017

結合熱電モデルに基づく蓄電池充電プロセスの制約付き一般化予測制御【Powered by NICT】

2017

各種再生可能世代とプラグイン電気自動車を統合する電力系統の経済的ユニットコミットメントの包括的研究【Powered by NICT】

2017

Implications of Gas Infrastructure in Integrated Community Energy Systems

DOI

2017

PLS-based multi-loop robust H2 control for improvement of operating efficiency of waste heat energy conversion systems with organic Rankine cycle

DOI

2017

Teaching-Learning-Feedback-Based Optimization

International Conference on Swarm Intelligence

DOI

2017

A multi vector energy analysis for interconnected power and gas systems

DOI

2017

A Novel Networked Online Recursive Identification Method for Multivariable Systems With Incomplete Measurement Information

IEEE Transactions on Signal and Information Processing over Networks

DOI

2017

Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration

Communications in Computer and Information Science

DOI

2017

A novel parallel-series hybrid meta-heuristic method for solving a hybrid unit commitment problem

Knowledge-Based Systems

DOI

2017

State-of-Charge Estimation of Lithium Batteries Using Compact RBF Networks and AUKF

LSMS/ICSEE

DOI

2017

結合熱電モデルに基づく先端リチウムイオン電池の最適充電戦略【Powered by NICT】

2017

A Novel RBF Neural Model for Single Flow Zinc Nickel Batteries

LSMS/ICSEE

DOI

2017

Interactions between gas networks and microgrids through microturbines

IEEE Power & Energy Society General Meeting

DOI

2017

A comprehensive study of economic unit commitment of power systems integrating various renewable generations and plug-in electric vehicles

DOI

2017

Real-Time, Energy-Efficient Traction Allocation Strategy for the Compound Electric Propulsion System

IEEE/ASME transactions on mechatronics

DOI

2017

Control of Organic Rankine Cycle for waste heat recovery based on an optimized predictive model

Cybersecurity and Cyberforensics Conference

DOI

2017

Identification of microturbine model for long-term dynamic analysis of distribution networks

DOI

2016

A novel methodology for analysis of large scale interconnected power and gas systems

2016 13th International Conference on the European Energy Market (EEM)

DOI

2016

Compact modelling of Organic Rankine Cycle for waste heat recovery

World Congress on Intelligent Control and Automation

DOI

2016

Data-driven dynamic prediction of interrelated heat and electric outputs of microturbines

IEEE PES Innovative Smart Grid Technologies Conference Europe

DOI

2016

Multiple model predictive control for organic rankine cycle (ORC) based waste heat energy conversion systems

Control

DOI

2016

The importance of gas infrastructure in power systems with high wind power penetrations

DOI

2016

Optimal generation scheduling of interconnected wind-coal intensive power systems

DOI

2016

TRIZ based teaching strategy for wind turbine control

Control

DOI

2016

Hybrid Probabilistic Wind Power Forecasting Using Temporally Local Gaussian Process

IEEE Transactions on Sustainable Energy

DOI

2016

System flexibility provision using short term grid scale storage

DOI

2016

Modeling of Organic Rankine Cycle for waste heat recovery using RBF neural networks

IEEE Symposium Series on Computational Intelligence

DOI

2016

HIL safety function validation of the multi-power sources electric vehicle

2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia)

DOI

2016

A hybrid meta-heuristic method for unit commitment considering flexible charging and discharging of plug-in electric vehicles

IEEE Congress on Evolutionary Computation

DOI

2016

Battery optimal charging strategy based on a coupled thermoelectric model

IEEE Congress on Evolutionary Computation

DOI

2016

マイクロタービンの相互関係のある熱と電気出力のデータ駆動型動的予測【Powered by NICT】

2016

RBF(動径基底関数)ニューラルネットワークを用いた廃熱回収のための有機Rankineサイクルのモデル化【Powered by NICT】

2016

Binary teaching-learning based optimization for power system unit commitment

Control

DOI

2016

Time series wind power forecasting based on variant Gaussian Process and TLBO

Neurocomputing

DOI

2016

Gain scheduling control of waste heat energy conversion systems based on an LPV (linear parameter varying) model

DOI

2015

Special condition wind power forecasting based on Gaussian Process and similar historical data

IEEE Power & Energy Society General Meeting

DOI

2015

The impact of short term storage on power system operation

2015 12th International Conference on the European Energy Market (EEM)

DOI

2015

A conventional internal combustion engine versus a range extended electric vehicle under the current regulatory regime in the United Kingdom

2015

What do high penetrations of wind power mean for gas generation?

IEEE Power & Energy Society General Meeting

DOI

2015

The significance of interconnector counter-trading in a security constrained electricity market

DOI

2015

Multiloop robust H∞ control design based on the dynamic PLS approach to chemical processes

DOI

2015

Impact of Electric Vehicles on a Carbon Constrained Power System—A Post 2020 Case Study

DOI

2015

Gas generation in interconnected power systems with high wind power penetration

International Conference on European Electricity Market

2015

Flexible fault ride through strategy for wind farm clusters in power systems with high wind power penetration

DOI

2015

Unit commitment considering multiple charging and discharging scenarios of plug-in electric vehicles

IEEE International Joint Conference on Neural Network

DOI

2015

Computational scheduling methods for integrating plug-in electric vehicles with power systems: A review

DOI

2015

Droop setting design for multi-terminal HVDC grids considering voltage deviation impacts

DOI

2015

Adaptive backstepping droop controller design for multi-terminal high-voltage direct current systems

DOI

2014

A biogeography-based optimization algorithm with mutation strategies for model parameter estimation of solar and fuel cells

DOI

2014

A new battery modelling method based on simulation error minimization

2014 IEEE PES General Meeting | Conference & Exposition

DOI

2014

Intelligent Computing in Smart Grid and Electrical Vehicles

Communications in Computer and Information Science

DOI

2014

A new self-learning TLBO algorithm for RBF neural modelling of batteries in electric vehicles

IEEE Congress on Evolutionary Computation

DOI

2014

Backstepping DC Voltage Control in a Multi-terminal HVDC System Connecting Offshore Wind Farms

DOI

2014

Control energy consumption and system performance in vector control of voltage source converters

DOI

2014

Analysis of Transmission Loss in Droop Control of a Multi-Terminal HVDC System

DOI

2014

Impact of offshore wind power forecast error in a carbon constraint electricity market

DOI

2014

An improved TLBO with elite strategy for parameters identification of PEM fuel cell and solar cell models

DOI

2014

A self-learning TLBO based dynamic economic/environmental dispatch considering multiple plug-in electric vehicle loads

DOI

2014

An efficient harmony search with new pitch adjustment for dynamic economic dispatch

DOI

2014

A New Compact Teaching-Learning-Based Optimization Method

International Conference on Intelligent Computing

DOI

2014

Modeling of Electric Vehicle batteries using RBF neural networks

International Conference on Computing, Management and Telecommunications

DOI

2014

Loss-of-Main Monitoring and Detection for Distributed Generations Using Dynamic Principal Component Analysis

DOI

2014

Non-convex dynamic economic/environmental dispatch with plug-in electric vehicle loads

IEEE Symposium on Computational Intelligence Applications in Smart Grid

DOI

2014

Optimal Scheduling Methods to Integrate Plug-In Electric Vehicles with the Power System: A Review

DOI

2014

A Variant Gaussian Process for Short-term Wind Power Forecasting Based on TLBO

DOI

2013

Control of VSC-HVDC for wind farm integration based on adaptive backstepping method

2013 IEEE International Workshop on Inteligent Energy Systems (IWIES)

DOI

2013

Prediction error adjusted Gaussian Process for short-term wind power forecasting

2013 IEEE International Workshop on Inteligent Energy Systems (IWIES)

DOI

2013

A statistical process control approach for automatic anti-islanding detection using synchrophasors

IEEE Power & Energy Society General Meeting

DOI

2013

Distributed Adaptive Learning Framework for Wide Area Monitoring of Power Systems Integrated with Distributed Generations

DOI

2010

Interference of railway 25 kV AC traction power systems and use of optical sensors for train detection

2010

Harmonics studies in 25KV traction power supply system of KCR

2007

Genetic neural Modeling of pollutant Emissions from thermal power plants

2006

Advanced Regression Method For Prediction of NOx Pollutant Concentrations in Urban Air

2006

Staged Neural Modeling with Application to Prediction of NOx Pollutant Concentrations in Urban Air

International Conference on Intelligent Computing

DOI

2004

Nonlinear modeling of NO/sub x/ emission in a coal-fired power generation plant

IEEE Conference on Decision and Control

DOI

2003

Modelling of NOx emissions in coal-fired plants

2001

NOx emission models for operation and control of power generation boilers

2001

Fundamental grey-box modelling

European Control Conference

DOI

1999

NOx Emission Modeling and Prediction of a 200-MWe Power Generation Boiler Using Multilayer Perceptron Neural Networks

2023

A DAG-NOTEARS-based Data Mining Method for Faulty Samples

《第35届中国控制与决策会议论文集（1）》

DOI

2023

Intelligent expert control method and application in SABC grinding circuit based on hybrid model

《第35届中国控制与决策会议论文集（1）》

DOI

2023

PHM of Roller Tyre in Nonferrous Metal Crushing Process Based on DUAE

《第35届中国控制与决策会议论文集（2）》

DOI

2022

Two-Branch Convolutional Neural Network Based on Multi-Source Information for Flotation Overflow Identification

《第34届中国控制与决策会议论文集（6）》

DOI

2022

Nonlinear Successive Compensation Method for Plant-Wide Production Index Based on Industrial Data

《第34届中国控制与决策会议论文集（6）》

DOI

2021

Soft Sensing of Feed Pulp Concentration in Thickener Based on Cross Validation LSTM Hyper-parameters Optimization

《第33届中国控制与决策会议论文集（2）》

DOI

2021

Experimental Image-based Recognition of Thickener Mud Layer using Deep Learning Framework

《第33届中国控制与决策会议论文集（4）》

DOI

2017

A Time-difference PLS Based Soft Sensor Method of Underflow Concentration for Thickener in Hydrometallurgy

《第29届中国控制与决策会议论文集（3）》

2017

A Knowledge Based Intelligent Control Method for Dehydration and Mixing Process

《第29届中国控制与决策会议论文集（3）》

2015

Integration of Electric Vehicles Charging in Unit Commitment

3rd International Multi-Conference on HUmanities, Law, Literature and Management (IMHLLM'15)

2026

Ego to World: Collaborative Spatial Reasoning in Embodied Systems via Reinforcement Learning

arXiv preprint

2026

SaFeR-ToolKit: Structured Reasoning via Virtual Tool Calling for Multimodal Safety

arXiv preprint

2026

MAAP: Multi-Agent Active Perception for Collaborative Manipulation

arXiv preprint

2026

LongHarness: Advancing Agentic Reasoning over 100M-Token Corpora via Stateful Evidence Management

arXiv preprint

2026

SUGFW+: An Uncertainty-guided Feature Weighting Framework for Cold Start Active Adaptation of SAM in Medical Image Segmentation

arXiv preprint

2026

MA-VLA: Multi-Arm Vision-Language-Action Model for Collaboration and Compositional Generalization

arXiv preprint

2026

Evaluating the Diagnostic Classification Ability of Multimodal Large Language Models: Insights from the Osteoarthritis Initiative

arXiv preprint

2026

StoryTailor:A Zero-Shot Pipeline for Action-Rich Multi-Subject Visual Narratives

arXiv preprint

2026

SAM4Dcap: Training-free Biomechanical Twin System from Monocular Video

arXiv preprint

2025

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation

arXiv preprint

2025

Attention-Guided Multi-Scale Local Reconstruction for Point Clouds via Masked Autoencoder Self-Supervised Learning

arXiv preprint

2025

Deep Research Agents: A Systematic Examination And Roadmap

arXiv preprint

2025

KOM: A Multi-Agent Artificial Intelligence System for Precision Management of Knee Osteoarthritis (KOA)

arXiv preprint

2025

SSRL: Self-Search Reinforcement Learning

arXiv preprint

2025

ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks

arXiv preprint

2025

Guiding Medical Vision-Language Models with Explicit Visual Prompts: Framework Design and Comprehensive Exploration of Prompt Variations

arXiv preprint

2024

EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting

arXiv preprint

2024

DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models

arXiv preprint

2024

Evaluating and Enhancing Large Language Models Performance in Domain-specific Medicine: Osteoarthritis Management with DocOA

arXiv preprint

2024

TV-SAM: Increasing Zero-Shot Segmentation Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation

arXiv preprint

2024

Make Your Home Safe: Time-aware Unsupervised User Behavior Anomaly Detection in Smart Homes via Loss-guided Mask

arXiv preprint

DOI

2024

Beyond Color and Lines: Zero-Shot Style-Specific Image Variations with Coordinated Semantics

arXiv preprint

2023

MedLSAM: Localize and Segment Anything Model for 3D CT Images

arXiv preprint

2023

PointMoment:Mixed-Moment-based Self-Supervised Representation Learning for 3D Point Clouds

arXiv preprint

2023

Masked conditional variational autoencoders for chromosome straightening

arXiv preprint

2023

MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification

arXiv preprint

2023

SAM on Medical Images: A Comprehensive Study on Three Prompt Modes

arXiv preprint

2023

Understanding Overfitting in Adversarial Training via Kernel Regression

arXiv preprint

2023

MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset

arXiv preprint

2022

PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation

arXiv preprint

DOI

2022

HMRNet: High and Multi-Resolution Network with Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy

arXiv preprint

2022

PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation

arXiv preprint

2021

On Explainability of Graph Neural Networks via Subgraph Explorations

arXiv preprint

2021

Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis

arXiv preprint

2021

Stochastic optimal scheduling of demand response-enabled microgrids with renewable generations: An analytical-heuristic approach

arXiv preprint

DOI

2021

Self-paced Resistance Learning against Overfitting on Noisy Labels

arXiv preprint

2019

Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation

arXiv preprint

2019

Effective 3D Humerus and Scapula Extraction using Low-contrast and High-shape-variability MR Data

arXiv preprint

2019

Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation

arXiv preprint

2015

Recognition of convolutional neural network based on CUDA Technology

arXiv preprint