Dingli Yu

Orcid: 0000-0003-3177-8942

Affiliations:
  • Liverpool John Moores University, Liverpool, UK


According to our database1, Dingli Yu authored at least 99 papers between 1995 and 2024.

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Bibliography

2024
Augmenting the diversity of imbalanced datasets via multi-vector stochastic exploration oversampling.
Neurocomputing, 2024

Can Models Learn Skill Composition from Examples?
CoRR, 2024

ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty.
CoRR, 2024

AI-Assisted Generation of Difficult Math Questions.
CoRR, 2024

Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates.
CoRR, 2024

SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
State of Charge Estimation Using Unscented Kalman Filter in Electric Vehicles.
Proceedings of the 28th International Conference on Automation and Computing, 2023

A Kernel-Based View of Language Model Fine-Tuning.
Proceedings of the International Conference on Machine Learning, 2023

2022
A virtual force interaction scheme for multi-robot environment monitoring.
Robotics Auton. Syst., 2022

A Virtual Force-Based Strategy for Multi-robot Target Search.
Proceedings of the Advances in Computational Intelligence Systems, 2022

New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fast Mixing of Stochastic Gradient Descent with Normalization and Weight Decay.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fault tolerant control and fault diagnosis of a variable speed pitch angle hydraulic system.
Proceedings of the 27th International Conference on Automation and Computing, 2022

State Of Charge estimation using Extended Kalman Filter in Electric Vehicles.
Proceedings of the 27th International Conference on Automation and Computing, 2022

2021
A New Concept of Fractional Order Cumulant and It-Based Signal Processing in α and/or Gaussian Noise.
IEEE Trans. Inf. Theory, 2021

Pitch angle control with fault diagnosis and tolerance for wind turbine generation systems.
J. Syst. Control. Eng., 2021

Friction fault diagnosis and fault tolerant control for electronic throttles with sliding mode and adaptive RBF estimator.
J. Syst. Control. Eng., 2021

Robust visual-inertial odometry with point and line features for blade inspection UAV.
Ind. Robot, 2021

Automatic image detection of multi-type surface defects on wind turbine blades based on cascade deep learning network.
Intell. Data Anal., 2021

Distributed Formation Control for Multi-Vehicle Systems With Splitting and Merging Capability.
IEEE Control. Syst. Lett., 2021

2020
Fault tolerant control for nonlinear systems using sliding mode and adaptive neural network estimator.
Soft Comput., 2020

The indirect shared steering control under double loop structure of driver and automation.
IEEE CAA J. Autom. Sinica, 2020

Characterization of Group-strategyproof Mechanisms for Facility Location in Strictly Convex Space.
Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Simple and Effective Regularization Methods for Training on Noisily Labeled Data with Generalization Guarantee.
Proceedings of the 8th International Conference on Learning Representations, 2020

Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Automatic visual defects inspection of wind turbine blades via YOLO-based small object detection approach.
J. Electronic Imaging, 2019

Enhanced Convolutional Neural Tangent Kernels.
CoRR, 2019

Understanding Generalization of Deep Neural Networks Trained with Noisy Labels.
CoRR, 2019

Fault diagnosis for wind turbine systems using unknown input observer.
Proceedings of the 25th International Conference on Automation and Computing, 2019

Fault diagnosis for wind turbine systems using a neural network estimator.
Proceedings of the 25th International Conference on Automation and Computing, 2019

A Virtual Force Interaction Scheme for Monitoring Complex Unknown Environments by Autonomous Mobile Robots.
Proceedings of the 17th European Control Conference, 2019

2018
Development of adaptive p-step RBF network model with recursive orthogonal least squares training.
Neural Comput. Appl., 2018

Group-Strategyproof mechanisms for facility location with Euclidean distance.
CoRR, 2018

Failure Prediction for an Exothermic Semi-batch Reactor via A combined EKF with Statistical Method.
Proceedings of the 24th International Conference on Automation and Computing, 2018

Nonlinear Observer Fault Detection for a Multivariable Process Using a Learning Methodology.
Proceedings of the 24th International Conference on Automation and Computing, 2018

Balanced Outcomes in Wage Bargaining.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Fair Rent Division on a Budget.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
An enhanced linear Kalman filter (EnLKF) algorithm for parameter estimation of nonlinear rational models.
Int. J. Syst. Sci., 2017

Factorized f-step radial basis function model for model predictive control.
Neurocomputing, 2017

A partisan districting protocol with provably nonpartisan outcomes.
CoRR, 2017

Fault detection observer of a pilot plant papermaking machine.
Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017

Investigating the capability of precision in robotic grinding.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

2016
PID controller tuning for a multivariable glass furnace process by genetic algorithm.
Int. J. Autom. Comput., 2016

Model parameters identification for excess oxygen by Standard Genetic Algorithm.
Proceedings of the 22nd International Conference on Automation and Computing, 2016

2015
Dynamic Particle Swarm Optimization with Any Irregular Initial Small-World Topology.
Int. J. Swarm Intell. Res., 2015

Adaptive structure radial basis function network model for processes with operating region migration.
Neurocomputing, 2015

Air-fuel ratio prediction and NMPC for SI engines with modified Volterra model and RBF network.
Eng. Appl. Artif. Intell., 2015

An improved search space resizing method for model identification by Standard Genetic Algorithm.
Proceedings of the 21st International Conference on Automation and Computing, 2015

Predetermined time constant approximation method for optimising search space boundary by standard genetic algorithm.
Proceedings of the 16th International Conference on Computer Systems and Technologies, 2015

2014
Fault detection and isolation for PEM fuel cell stack with independent RBF model.
Eng. Appl. Artif. Intell., 2014

Decentralised PID control tuning for a multivariable glass furnace by genetic algorithm.
Proceedings of the 20th International Conference on Automation and Computing, 2014

Robust fault detection for wind turbine systems.
Proceedings of the 20th International Conference on Automation and Computing, 2014

Nonlinear system identification and control of a pH process using Local Linear Model Networks strategy.
Proceedings of the 20th International Conference on Automation and Computing, 2014

2013
Comparison study of different non-linear feed-forward controllers for oxygen starvation control of PEM fuel cell stacks.
Int. J. Model. Identif. Control., 2013

On-board monitoring of air path for automotive IC engines.
Int. J. Model. Identif. Control., 2013

RBF model based predictive control for exothermic semi-batch polymerizations.
Proceedings of the 2013 19th International Conference on Automation and Computing, 2013

Fault detection and isolation based on feedforward-feedback control for oxygen excess of fuel cell stack.
Proceedings of the 2013 19th International Conference on Automation and Computing, 2013

Fault detection and isolation for open-loop Chylla-Haase polymerization reactor.
Proceedings of the 2013 19th International Conference on Automation and Computing, 2013

2011
Adaptive feed-forward and feedback control using neural networks for oxygen ratio in fuel cell stacks.
Proceedings of the 12th International Conference on Computer Systems and Technologies, 2011

Residual generation for fault detection of internal combustion engine.
Proceedings of the 12th International Conference on Computer Systems and Technologies, 2011

2010
Robust air/fuel ratio control with adaptive DRNN model and AD tuning.
Eng. Appl. Artif. Intell., 2010

2009
Neural network model-based automotive engine air/fuel ratio control and robustness evaluation.
Eng. Appl. Artif. Intell., 2009

2008
Adaptive RBF network for parameter estimation and stable air-fuel ratio control.
Neural Networks, 2008

Neural network fault classification of transient data in an automotive engine air path.
Int. J. Model. Identif. Control., 2008

Robustness assessment and adaptive FDI for car engine.
Int. J. Autom. Comput., 2008

2007
A new structure adaptation algorithm for RBF networks and its application.
Neural Comput. Appl., 2007

A Neural Network Model Based MPC of Engine AFR with Single-Dimensional Optimization.
Proceedings of the Advances in Neural Networks, 2007

An On-Line Learning Algorithm of Parallel Mode for MLPN Models.
Proceedings of the Advances in Neural Networks, 2007

Neural Network in Stable Adaptive Control Law for Automotive Engines.
Proceedings of the Advances in Neural Networks, 2007

A New Fuel Injection Control Solution via Simple and Adaptive Sliding Mode.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007

Robust Integral Sliding Mode Control against Matched and Unmatched System Uncertainty.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007

2006
Neural model adaptation and predictive control of a chemical process rig.
IEEE Trans. Control. Syst. Technol., 2006

Adaptive neural network model based predictive control for air-fuel ratio of SI engines.
Eng. Appl. Artif. Intell., 2006

Adaptive Pseudo Linear RBF Model for Process Control.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Fault Diagnosis with Enhanced Neural Network Modelling.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

An Application of Second-Order Sliding Mode Control for IC Engine Fuel Injection.
Proceedings of the Canadian Conference on Electrical and Computer Engineering, 2006

Neural Network Parameter Adaptation for a Fuel Injection Control System.
Proceedings of the Canadian Conference on Electrical and Computer Engineering, 2006

2005
Fault tolerant control of multivariable processes using auto-tuning PID controller.
IEEE Trans. Syst. Man Cybern. Part B, 2005

Adaptation of diagonal recurrent neural network model.
Neural Comput. Appl., 2005

Adaptive air-fuel ratio control with MLP network.
Int. J. Autom. Comput., 2005

Adaptive neural model-based fault tolerant control for multi-variable processes.
Eng. Appl. Artif. Intell., 2005

Detecting Sensor Faults for a Chemical Reactor Rig via Adaptive Neural Network Model.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Fault Tolerant Control of Nonlinear Processes with Adaptive Diagonal Recurrent Neural Network Model.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Comparative Study on Engine Torque Modelling Using Different Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

2004
A Localized Forgetting Method for Gaussian RBFN Model Adaptation.
Neural Process. Lett., 2004

Neural network model adaptation and its application to process control.
Adv. Eng. Informatics, 2004

2003
Neural network control of multivariable processes with a fast optimisation algorithm.
Neural Comput. Appl., 2003

A linear parameter-varying radial basis function model and predictive control of a chemical reactor.
Int. J. Syst. Sci., 2003

2002
Enhanced Neural Network Modelling for a Real Multi-variable Chemical Process.
Neural Comput. Appl., 2002

2001
Extension of the parity-space method to fault diagnosis of bilinear systems.
Int. J. Syst. Sci., 2001

2000
Selecting radial basis function network centers with recursive orthogonal least squares training.
IEEE Trans. Neural Networks Learn. Syst., 2000

Diagnosing simulated faults for an industrial furnace based on bilinear model.
IEEE Trans. Control. Syst. Technol., 2000

Order and delay selection for neural network modelling by identification of linearized models.
Int. J. Syst. Sci., 2000

1997
A Recursive Orthogonal Least Squares Algorithm for Training RBF Networks.
Neural Process. Lett., 1997

1996
A Hybrid Fault Diagnosis Approach Using Neural Networks.
Neural Comput. Appl., 1996

A bilinear fault detection observer.
Autom., 1996

1995
Application of Radial Basis Function Networks to Fault Diagnosis for a Hydraulic System.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995

Optimally Robust Fault Diagnosis Using Genetic Algorithms.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995


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