Optimally Robust Fault Diagnosis Using Genetic Algorithms. - Dingli Yu; Derek Nicholas Shields (ICANNGA, 1995)

Application of Radial Basis Function Networks to Fault Diagnosis for a Hydraulic System. - Dingli Yu; Derek Nicholas Shields; Steve Daley (ICANNGA, 1995)

A bilinear fault detection observer. - D. L. Yu; Derek Nicholas Shields (Autom., 1996)

A Hybrid Fault Diagnosis Approach Using Neural Networks. - Dingli Yu; Derek Nicholas Shields; Steve Daley (Neural Comput. Appl., 1996)

A Recursive Orthogonal Least Squares Algorithm for Training RBF Networks. - D. L. Yu; J. B. Gomm; D. Williams (Neural Process. Lett., 1997)

Order and delay selection for neural network modelling by identification of linearized models. - J. B. Gomm; D. L. Yu (Int. J. Syst. Sci., 2000)

Diagnosing simulated faults for an industrial furnace based on bilinear model. - Ding-Li Yu (IEEE Trans. Control. Syst. Technol., 2000)

Selecting radial basis function network centers with recursive orthogonal least squares training. - J. Barry Gomm; D. L. Yu (IEEE Trans. Neural Networks Learn. Syst., 2000)

Extension of the parity-space method to fault diagnosis of bilinear systems. - D. L. Yu; Derek Nicholas Shields (Int. J. Syst. Sci., 2001)

Enhanced Neural Network Modelling for a Real Multi-variable Chemical Process. - D. L. Yu; J. B. Gomm (Neural Comput. Appl., 2002)

A linear parameter-varying radial basis function model and predictive control of a chemical reactor. - Ding-Li Yu; Ding-Wen Yu (Int. J. Syst. Sci., 2003)

Neural network control of multivariable processes with a fast optimisation algorithm. - Ding-Wen Yu; Ding-Li Yu (Neural Comput. Appl., 2003)

Neural network model adaptation and its application to process control. - Thoonkhin Chang; Ding-Li Yu; Ding-Wen Yu (Adv. Eng. Informatics, 2004)

A Localized Forgetting Method for Gaussian RBFN Model Adaptation. - Dingli Yu (Neural Process. Lett., 2004)

Comparative Study on Engine Torque Modelling Using Different Neural Networks. - Ding-Li Yu; Michael Beham (ISNN (3), 2005)

Fault Tolerant Control of Nonlinear Processes with Adaptive Diagonal Recurrent Neural Network Model. - Ding-Li Yu; Thoonkhin Chang; Jin Wang 042 (ISNN (3), 2005)

Detecting Sensor Faults for a Chemical Reactor Rig via Adaptive Neural Network Model. - Ding-Li Yu; Ding-Wen Yu (ISNN (3), 2005)

Adaptive neural model-based fault tolerant control for multi-variable processes. - D. L. Yu; T. K. Chang; D. W. Yu (Eng. Appl. Artif. Intell., 2005)

Adaptive air-fuel ratio control with MLP network. - Shiwei Wang; Ding-Li Yu (Int. J. Autom. Comput., 2005)

Adaptation of diagonal recurrent neural network model. - Dingli Yu; T. Chang (Neural Comput. Appl., 2005)

Fault tolerant control of multivariable processes using auto-tuning PID controller. - Ding-Li Yu; Thoonkhin Chang; Ding-Wen Yu (IEEE Trans. Syst. Man Cybern. Part B, 2005)

Neural Network Parameter Adaptation for a Fuel Injection Control System. - Shiwei Wang; D. L. Yu (CCECE, 2006)

An Application of Second-Order Sliding Mode Control for IC Engine Fuel Injection. - Shiwei Wang; D. L. Yu (CCECE, 2006)

Fault Diagnosis with Enhanced Neural Network Modelling. - Ding-Li Yu; Thoonkhin Chang (ISNN (2), 2006)

Adaptive Pseudo Linear RBF Model for Process Control. - Ding-Wen Yu; Ding-Li Yu (ISNN (2), 2006)

Adaptive neural network model based predictive control for air-fuel ratio of SI engines. - S. W. Wang; D. L. Yu; J. B. Gomm; G. F. Page; S. S. Douglas (Eng. Appl. Artif. Intell., 2006)

Neural model adaptation and predictive control of a chemical process rig. - Ding-Li Yu; Ding-Wen Yu; J. Barry Gomm (IEEE Trans. Control. Syst. Technol., 2006)

Robust Integral Sliding Mode Control against Matched and Unmatched System Uncertainty. - Shiwei Wang; D. L. Yu (IMECS, 2007)

A New Fuel Injection Control Solution via Simple and Adaptive Sliding Mode. - Shiwei Wang; D. L. Yu (IMECS, 2007)

Neural Network in Stable Adaptive Control Law for Automotive Engines. - Shiwei Wang; Dingli Yu (ISNN (1), 2007)

An On-Line Learning Algorithm of Parallel Mode for MLPN Models. - D. L. Yu; T. K. Chang; D. W. Yu (ISNN (2), 2007)

A Neural Network Model Based MPC of Engine AFR with Single-Dimensional Optimization. - Yu-Jia Zhai; Ding-Li Yu (ISNN (1), 2007)

A new structure adaptation algorithm for RBF networks and its application. - Ding-Li Yu; Ding-Wen Yu (Neural Comput. Appl., 2007)

Robustness assessment and adaptive FDI for car engine. - Mahavir S. Sangha; Dingli Yu; J. Barry Gomm (Int. J. Autom. Comput., 2008)

Neural network fault classification of transient data in an automotive engine air path. - Mahavir S. Sangha; J. Barry Gomm; Dingli Yu (Int. J. Model. Identif. Control., 2008)

Adaptive RBF network for parameter estimation and stable air-fuel ratio control. - Shiwei Wang; D. L. Yu (Neural Networks, 2008)

Neural network model-based automotive engine air/fuel ratio control and robustness evaluation. - Yu-Jia Zhai; Ding-Li Yu (Eng. Appl. Artif. Intell., 2009)

Robust air/fuel ratio control with adaptive DRNN model and AD tuning. - Yu-Jia Zhai; Ding-Wen Yu; Hong-Yu Guo; Ding-Li Yu (Eng. Appl. Artif. Intell., 2010)

Residual generation for fault detection of internal combustion engine. - Adnan Hamad; Karl O. Jones; Dingli Yu; J. B. Gomm; Mahavir S. Sangha (CompSysTech, 2011)

Adaptive feed-forward and feedback control using neural networks for oxygen ratio in fuel cell stacks. - Omar Ragb; Karl O. Jones; Dingli Yu; J. Barry Gomm (CompSysTech, 2011)

Fault detection and isolation for open-loop Chylla-Haase polymerization reactor. - Abdelkarim M. Ertiame; Dingli Yu; Feng Yu; J. B. Gomm (ICAC, 2013)

Fault detection and isolation based on feedforward-feedback control for oxygen excess of fuel cell stack. - M. K. Mahanijah; D. W. Yu; D. L. Yu (ICAC, 2013)

RBF model based predictive control for exothermic semi-batch polymerizations. - Magdi M. Nabi; Dingli Yu; Feng Yu (ICAC, 2013)

On-board monitoring of air path for automotive IC engines. - Adnan Hamad; Dong-Ya Zhao; Dingli Yu; Quan Min Zhu (Int. J. Model. Identif. Control., 2013)

Comparison study of different non-linear feed-forward controllers for oxygen starvation control of PEM fuel cell stacks. - Omar Ragb; Dong-Ya Zhao; Dingli Yu; Quan Min Zhu (Int. J. Model. Identif. Control., 2013)

Nonlinear system identification and control of a pH process using Local Linear Model Networks strategy. - Ahmed Saad Abdelhadi; J. Barry Gomm; Dingli Yu; Kumaran Rajarathinam (ICAC, 2014)

Robust fault detection for wind turbine systems. - Yusheng Liu; Ding-Li Yu (ICAC, 2014)

Decentralised PID control tuning for a multivariable glass furnace by genetic algorithm. - Kumaran Rajarathinam; J. Barry Gomm; Dingli Yu; Ahmed Saad Abdelhadi (ICAC, 2014)

Fault detection and isolation for PEM fuel cell stack with independent RBF model. - Mahanijah Md Kamal; D. W. Yu; D. L. Yu (Eng. Appl. Artif. Intell., 2014)

Predetermined time constant approximation method for optimising search space boundary by standard genetic algorithm. - Kumaran Rajarathianm; J. Barry Gomm; Karl O. Jones; Dingli Yu (CompSysTech, 2015)

An improved search space resizing method for model identification by Standard Genetic Algorithm. - Kumaran Rajarathinam; J. Barry Gomm; Dingli Yu; Ahmed Saad Abdelhadi (ICAC, 2015)

Air-fuel ratio prediction and NMPC for SI engines with modified Volterra model and RBF network. - Yiran Shi; Ding-Li Yu; Yantao Tian; Yaowu Shi (Eng. Appl. Artif. Intell., 2015)

Adaptive structure radial basis function network model for processes with operating region migration. - D. K. Siong Tok; Dingli Yu; Christian Mathews; Dong-Ya Zhao; Quan Min Zhu (Neurocomputing, 2015)

Dynamic Particle Swarm Optimization with Any Irregular Initial Small-World Topology. - Shuangxin Wang; Guibin Tian; Dingli Yu; Yijiang Lin (Int. J. Swarm Intell. Res., 2015)

Model parameters identification for excess oxygen by Standard Genetic Algorithm. - Kumaran Rajarathinam; J. Barry Gomm; Dingli Yu; Ahmed Saad Abdelhadi (ICAC, 2016)

PID controller tuning for a multivariable glass furnace process by genetic algorithm. - Kumaran Rajarathinam; J. Barry Gomm; Ding-Li Yu; Ahmed Saad Abdelhadi (Int. J. Autom. Comput., 2016)

Investigating the capability of precision in robotic grinding. - Mohammed Sufian; Xun Chen; Dingli Yu (ICAC, 2017)

Fault detection observer of a pilot plant papermaking machine. - Majid Borairi; Majeed Soufian; D. L. Yu (ISIE, 2017)

A partisan districting protocol with provably nonpartisan outcomes. - Wesley Pegden; Ariel D. Procaccia; Dingli Yu (CoRR, 2017)

Factorized f-step radial basis function model for model predictive control. - D. K. Siong Tok; Yiran Shi; Yantao Tian; Ding-Li Yu (Neurocomputing, 2017)

An enhanced linear Kalman filter (EnLKF) algorithm for parameter estimation of nonlinear rational models. - Quan Min Zhu; Dingli Yu; Dong-Ya Zhao (Int. J. Syst. Sci., 2017)

Fair Rent Division on a Budget. - Ariel D. Procaccia; Rodrigo A. Velez; Dingli Yu (AAAI, 2018)

Balanced Outcomes in Wage Bargaining. - Pingzhong Tang; Dingli Yu (AAMAS, 2018)

Nonlinear Observer Fault Detection for a Multivariable Process Using a Learning Methodology. - Haiying Qi; Abdelkarim M. Ertiame; Kingsley Madubuike; Ding-Li Yu; J. Barry Gomm (ICAC, 2018)

Failure Prediction for an Exothermic Semi-batch Reactor via A combined EKF with Statistical Method. - Haiying Qi; Abdelkarim M. Ertiame; Kingsley Madubuike; Ding-Li Yu; J. Barry Gomm (ICAC, 2018)

Group-Strategyproof mechanisms for facility location with Euclidean distance. - Pingzhong Tang; Dingli Yu; Shengyu Zhao (CoRR, 2018)

Development of adaptive p-step RBF network model with recursive orthogonal least squares training. - Lei Gu; D. K. Siong Tok; Ding-Li Yu (Neural Comput. Appl., 2018)

A Virtual Force Interaction Scheme for Monitoring Complex Unknown Environments by Autonomous Mobile Robots. - Kang Ji; Qian Zhang 002; Hui Cheng; Dingli Yu (ECC, 2019)

Fault diagnosis for wind turbine systems using a neural network estimator. - Kingsley Madubuike; Cliff Mayhew; Qian Zhang 002; J. Barry Gomm; Ding-Li Yu (ICAC, 2019)

Fault diagnosis for wind turbine systems using unknown input observer. - Kingsley Madubuike; Cliff Mayhew; Qian Zhang 002; J. Barry Gomm; Ding-Li Yu (ICAC, 2019)

Understanding Generalization of Deep Neural Networks Trained with Noisy Labels. - Wei Hu 014; Zhiyuan Li 005; Dingli Yu (CoRR, 2019)

Enhanced Convolutional Neural Tangent Kernels. - Zhiyuan Li 005; Ruosong Wang; Dingli Yu; Simon S. Du; Wei Hu 014; Ruslan Salakhutdinov; Sanjeev Arora (CoRR, 2019)

Automatic visual defects inspection of wind turbine blades via YOLO-based small object detection approach. - Zifeng Qiu; Shuangxin Wang; Zhaoxi Zeng; Dingli Yu (J. Electronic Imaging, 2019)

Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks. - Sanjeev Arora; Simon S. Du; Zhiyuan Li 005; Ruslan Salakhutdinov; Ruosong Wang; Dingli Yu (ICLR, 2020)

Simple and Effective Regularization Methods for Training on Noisily Labeled Data with Generalization Guarantee. - Wei Hu 014; Zhiyuan Li 005; Dingli Yu (ICLR, 2020)

Characterization of Group-strategyproof Mechanisms for Facility Location in Strictly Convex Space. - Pingzhong Tang; Dingli Yu; Shengyu Zhao (EC, 2020)

The indirect shared steering control under double loop structure of driver and automation. - Yantao Tian; Yanbo Zhao; Yiran Shi; Xuanhao Cao; Ding-Li Yu (IEEE CAA J. Autom. Sinica, 2020)

Fault tolerant control for nonlinear systems using sliding mode and adaptive neural network estimator. - Haiying Qi; Yiran Shi; Shoutao Li; Yantao Tian; Ding-Li Yu; J. B. Gomm (Soft Comput., 2020)

Distributed Formation Control for Multi-Vehicle Systems With Splitting and Merging Capability. - Szilárd Novoth; Qian Zhang 002; Kang Ji; Dingli Yu (IEEE Control. Syst. Lett., 2021)

Automatic image detection of multi-type surface defects on wind turbine blades based on cascade deep learning network. - Yulin Mao; Shuangxin Wang; Dingli Yu; Juchao Zhao (Intell. Data Anal., 2021)

Robust visual-inertial odometry with point and line features for blade inspection UAV. - Yufei Ma 003; Shuangxin Wang; Dingli Yu; Kaihua Zhu (Ind. Robot, 2021)

Friction fault diagnosis and fault tolerant control for electronic throttles with sliding mode and adaptive RBF estimator. - Shoutao Li; Yiran Shi; Yujia Zhai; Shuangxin Wang; Yantao Tian; Ding-Li Yu (J. Syst. Control. Eng., 2021)

Pitch angle control with fault diagnosis and tolerance for wind turbine generation systems. - Yiran Shi; Shoutao Li; Shuangxin Wang; Yujia Zhai; Yantao Tian; Ding-Li Yu (J. Syst. Control. Eng., 2021)

A New Concept of Fractional Order Cumulant and It-Based Signal Processing in α and/or Gaussian Noise. - Yiran Shi; Dingli Yu; Hongyan Shi; Yaowu Shi (IEEE Trans. Inf. Theory, 2021)

State Of Charge estimation using Extended Kalman Filter in Electric Vehicles. - Azizeh Lotfivand; Dingli Yu; J. Barry Gomm (ICAC, 2022)

Fault tolerant control and fault diagnosis of a variable speed pitch angle hydraulic system. - Kingsley Madubuike; Cliff Mayhew; Qian Zhang 002; J. Barry Gomm; Ding-Li Yu (ICAC, 2022)

Fast Mixing of Stochastic Gradient Descent with Normalization and Weight Decay. - Zhiyuan Li 005; Tianhao Wang 017; Dingli Yu (NeurIPS, 2022)

New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound. - Arushi Gupta; Nikunj Saunshi; Dingli Yu; Kaifeng Lyu; Sanjeev Arora (NeurIPS, 2022)

A Virtual Force-Based Strategy for Multi-robot Target Search. - Kang Ji; Qian Zhang 002; Dingli Yu (UKCI, 2022)

A virtual force interaction scheme for multi-robot environment monitoring. - Kang Ji; Qian Zhang 002; Zhi Yuan; Hui Cheng; Dingli Yu (Robotics Auton. Syst., 2022)

A Kernel-Based View of Language Model Fine-Tuning. - Sadhika Malladi; Alexander Wettig; Dingli Yu; Danqi Chen 001; Sanjeev Arora (ICML, 2023)

State of Charge Estimation Using Unscented Kalman Filter in Electric Vehicles. - Azizeh Lotfivand; Dingli Yu; Barry Gomm (ICAC, 2023)

Research on Freezing of Gait Recognition Method Based on Variational Mode Decomposition. - Shoutao Li; Ruyi Qu; Yu Zhang; Dingli Yu (Intell. Autom. Soft Comput., 2023)

Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks. - Greg Yang; Dingli Yu; Chen Zhu; Soufiane Hayou (ICLR, 2024)

SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models. - Dingli Yu; Simran Kaur 001; Arushi Gupta; Jonah Brown-Cohen; Anirudh Goyal; Sanjeev Arora (ICLR, 2024)

Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates. - Kaifeng Lyu; Haoyu Zhao; Xinran Gu; Dingli Yu; Anirudh Goyal; Sanjeev Arora (NeurIPS, 2024)

ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty. - Xindi Wu; Dingli Yu; Yangsibo Huang; Olga Russakovsky; Sanjeev Arora (NeurIPS, 2024)

Can Models Learn Skill Composition from Examples? - Haoyu Zhao; Simran Kaur 001; Dingli Yu; Anirudh Goyal; Sanjeev Arora (NeurIPS, 2024)

AI-Assisted Generation of Difficult Math Questions. - Vedant Shah; Dingli Yu; Kaifeng Lyu; Simon Park 002; Nan Rosemary Ke; Michael Mozer; Yoshua Bengio; Sanjeev Arora; Anirudh Goyal (CoRR, 2024)

Phi-4 Technical Report. - Marah I Abdin; Jyoti Aneja; Harkirat S. Behl; Sébastien Bubeck; Ronen Eldan; Suriya Gunasekar; Michael Harrison; Russell J. Hewett; Mojan Javaheripi; Piero Kauffmann; James R. Lee; Yin Tat Lee; et al. (CoRR, 2024)

Augmenting the diversity of imbalanced datasets via multi-vector stochastic exploration oversampling. - Hongrui Li; Shuangxin Wang; Jiading Jiang; Chuiyi Deng; Junmei Ou; Ziang Zhou; Dingli Yu (Neurocomputing, 2024)

Handling data heterogeneity for wind turbine fault diagnosis via dynamic ensemble multilevel interactive learning. - Shuangxin Wang; Hongrui Li; Jiading Jiang; Meng Li; Junmei Ou; Dingli Yu (Eng. Appl. Artif. Intell., 2025)

Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs? - Simon Park 002; Abhishek Panigrahi; Yun Cheng; Dingli Yu; Anirudh Goyal; Sanjeev Arora (CoRR, 2025)

A Geometric Analysis-Based Safety Assessment Framework for MASS Route Decision-Making in Restricted Waters. - Zilong Xu; Zihao Wang; He Li; Dingli Yu; Zaili Yang; Jin Wang 042 (CoRR, 2025)

Weak-to-Strong Generalization Even in Random Feature Networks, Provably. - Marko Medvedev; Kaifeng Lyu; Dingli Yu; Sanjeev Arora; Zhiyuan Li 005; Nathan Srebro (CoRR, 2025)