Handling data heterogeneity for wind turbine fault diagnosis via dynamic ensemble multilevel interactive learning.

Dingli Yu Ding-Li Yu D. L. Yu Liverpool John Moores University, Liverpool, UK https://orcid.org/0000-0003-3177-8942

Shuangxin Wang Hongrui Li Jiading Jiang Meng Li Junmei Ou Dingli Yu Handling data heterogeneity for wind turbine fault diagnosis via dynamic ensemble multilevel interactive learning. 109716 2025 141 Eng. Appl. Artif. Intell. https://doi.org/10.1016/j.engappai.2024.109716 db/journals/eaai/eaai141.html#WangLJLOY25 streams/journals/eaai

Simon Park 0002 Abhishek Panigrahi Yun Cheng Dingli Yu Anirudh Goyal Sanjeev Arora Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs? 2025 ICML https://proceedings.mlr.press/v267/park25j.html https://openreview.net/forum?id=reuPtSzCU9 conf/icml/2025 db/conf/icml/icml2025.html#0002PCYGA25 Marko Medvedev Kaifeng Lyu Dingli Yu Sanjeev Arora Zhiyuan Li 0005 Nathan Srebro Weak-to-Strong Generalization Even in Random Feature Networks, Provably. 2025 ICML https://proceedings.mlr.press/v267/medvedev25a.html https://openreview.net/forum?id=OUzDIhgiqr conf/icml/2025 db/conf/icml/icml2025.html#MedvedevLYA0S25

Simon Park 0002 Abhishek Panigrahi Yun Cheng Dingli Yu Anirudh Goyal Sanjeev Arora Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs? 2025 January abs/2501.02669 CoRR https://doi.org/10.48550/arXiv.2501.02669 db/journals/corr/corr2501.html#abs-2501-02669 streams/journals/corr

Zilong Xu Zihao Wang He Li 0024 Dingli Yu Zaili Yang Jin Wang 0042 A Geometric Analysis-Based Safety Assessment Framework for MASS Route Decision-Making in Restricted Waters. 2025 January abs/2501.06670 CoRR https://doi.org/10.48550/arXiv.2501.06670 db/journals/corr/corr2501.html#abs-2501-06670 streams/journals/corr

Marko Medvedev Kaifeng Lyu Dingli Yu Sanjeev Arora Zhiyuan Li 0005 Nathan Srebro Weak-to-Strong Generalization Even in Random Feature Networks, Provably. 2025 March abs/2503.02877 CoRR https://doi.org/10.48550/arXiv.2503.02877 db/journals/corr/corr2503.html#abs-2503-02877 streams/journals/corr

Hongrui Li Shuangxin Wang Jiading Jiang Chuiyi Deng Junmei Ou Ziang Zhou Dingli Yu Augmenting the diversity of imbalanced datasets via multi-vector stochastic exploration oversampling. 127600 2024 583 Neurocomputing https://doi.org/10.1016/j.neucom.2024.127600 db/journals/ijon/ijon583.html#LiWJDOZY24

Greg Yang Dingli Yu Chen Zhu Soufiane Hayou Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks. 2024 ICLR https://openreview.net/forum?id=17pVDnpwwl conf/iclr/2024 db/conf/iclr/iclr2024.html#YangYZH24 Dingli Yu Simran Kaur 0001 Arushi Gupta Jonah Brown-Cohen Anirudh Goyal Sanjeev Arora SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models. 2024 ICLR https://openreview.net/forum?id=Jf5gplvglq conf/iclr/2024 db/conf/iclr/iclr2024.html#Yu0GBGA24 Kaifeng Lyu Haoyu Zhao Xinran Gu Dingli Yu Anirudh Goyal Sanjeev Arora Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/d6f034bb216b472fc7d32ec7aff20342-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#LyuZGYGA24 Xindi Wu Dingli Yu Yangsibo Huang Olga Russakovsky Sanjeev Arora ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/9c3563bbeb2ad7f3b3b8ed0fcd3b440f-Abstract-Datasets_and_Benchmarks_Track.html conf/nips/2024 db/conf/nips/neurips2024.html#WuYHRA24 Haoyu Zhao Simran Kaur 0001 Dingli Yu Anirudh Goyal Sanjeev Arora Can Models Learn Skill Composition from Examples? 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/b99fd30559b520cc97447ba905040677-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#Zhao0YGA24

Kaifeng Lyu Haoyu Zhao Xinran Gu Dingli Yu Anirudh Goyal Sanjeev Arora Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates. 2024 abs/2402.18540 CoRR https://doi.org/10.48550/arXiv.2402.18540 db/journals/corr/corr2402.html#abs-2402-18540

Vedant Shah Dingli Yu Kaifeng Lyu Simon Park 0002 Nan Rosemary Ke Michael Mozer Yoshua Bengio Sanjeev Arora Anirudh Goyal AI-Assisted Generation of Difficult Math Questions. 2024 abs/2407.21009 CoRR https://doi.org/10.48550/arXiv.2407.21009 db/journals/corr/corr2407.html#abs-2407-21009 streams/journals/corr

Xindi Wu Dingli Yu Yangsibo Huang Olga Russakovsky Sanjeev Arora ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty. 2024 abs/2408.14339 CoRR https://doi.org/10.48550/arXiv.2408.14339 db/journals/corr/corr2408.html#abs-2408-14339 streams/journals/corr

Haoyu Zhao Simran Kaur 0001 Dingli Yu Anirudh Goyal Sanjeev Arora Can Models Learn Skill Composition from Examples? 2024 abs/2409.19808 CoRR https://doi.org/10.48550/arXiv.2409.19808 db/journals/corr/corr2409.html#abs-2409-19808 streams/journals/corr

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 Yuanzhi Li Weishung Liu Caio C. T. Mendes Anh Nguyen Eric Price 0001 Gustavo de Rosa Olli Saarikivi Adil Salim Shital Shah Xin Wang 0066 Rachel Ward Yue Wu Dingli Yu Cyril Zhang Yi Zhang 0001 Phi-4 Technical Report. 2024 abs/2412.08905 CoRR https://doi.org/10.48550/arXiv.2412.08905 https://www.wikidata.org/entity/Q136451846 db/journals/corr/corr2412.html#abs-2412-08905 streams/journals/corr

Shoutao Li Ruyi Qu Yu Zhang Dingli Yu Research on Freezing of Gait Recognition Method Based on Variational Mode Decomposition. 2809-2823 2023 37 Intell. Autom. Soft Comput. 3 https://doi.org/10.32604/iasc.2023.036999 db/journals/iasc/iasc37.html#LiQZY23 streams/journals/iasc

Sadhika Malladi Alexander Wettig Dingli Yu Danqi Chen 0001 Sanjeev Arora A Kernel-Based View of Language Model Fine-Tuning. 23610-23641 2023 ICML https://proceedings.mlr.press/v202/malladi23a.html conf/icml/2023 db/conf/icml/icml2023.html#MalladiWYCA23 Azizeh Lotfivand Dingli Yu Barry Gomm State of Charge Estimation Using Unscented Kalman Filter in Electric Vehicles. 1-5 2023 ICAC https://doi.org/10.1109/ICAC57885.2023.10275192 conf/iconac/2023 db/conf/iconac/icac2023.html#LotfivandYG23

Greg Yang Dingli Yu Chen Zhu Soufiane Hayou Tensor Programs VI: Feature Learning in Infinite-Depth Neural Networks. 2023 abs/2310.02244 CoRR https://doi.org/10.48550/arXiv.2310.02244 db/journals/corr/corr2310.html#abs-2310-02244

Dingli Yu Simran Kaur 0001 Arushi Gupta Jonah Brown-Cohen Anirudh Goyal Sanjeev Arora Skill-Mix: a Flexible and Expandable Family of Evaluations for AI models. 2023 abs/2310.17567 CoRR https://doi.org/10.48550/arXiv.2310.17567 db/journals/corr/corr2310.html#abs-2310-17567

Kang Ji Qian Zhang 0002 Zhi Yuan Hui Cheng 0004 Dingli Yu A virtual force interaction scheme for multi-robot environment monitoring. 103967 2022 149 Robotics Auton. Syst. https://doi.org/10.1016/j.robot.2021.103967 db/journals/ras/ras149.html#JiZYCY22

Azizeh Lotfivand Dingli Yu J. Barry Gomm State Of Charge estimation using Extended Kalman Filter in Electric Vehicles. 1-5 2022 ICAC https://doi.org/10.1109/ICAC55051.2022.9911137 conf/iconac/2022 db/conf/iconac/iconac2022.html#LotfivandYG22 Kingsley Madubuike Cliff Mayhew Qian Zhang 0002 J. Barry Gomm Ding-Li Yu Fault tolerant control and fault diagnosis of a variable speed pitch angle hydraulic system. 1-6 2022 ICAC https://doi.org/10.1109/ICAC55051.2022.9911079 conf/iconac/2022 db/conf/iconac/iconac2022.html#MadubuikeMZGY22 Zhiyuan Li 0005 Tianhao Wang 0017 Dingli Yu Fast Mixing of Stochastic Gradient Descent with Normalization and Weight Decay. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/3c215225324f9988858602dc92219615-Abstract-Conference.html db/conf/nips/neurips2022.html#00050Y22 Arushi Gupta Nikunj Saunshi Dingli Yu Kaifeng Lyu Sanjeev Arora New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/d6383e7643415842b48a5077a1b09c98-Abstract-Conference.html db/conf/nips/neurips2022.html#GuptaSYLA22 Kang Ji Qian Zhang 0002 Dingli Yu A Virtual Force-Based Strategy for Multi-robot Target Search. 563-575 2022 UKCI https://doi.org/10.1007/978-3-031-55568-8_47 conf/ukci/2022 db/conf/ukci/ukci2022.html#Ji0Y22

Sadhika Malladi Alexander Wettig Dingli Yu Danqi Chen 0001 Sanjeev Arora A Kernel-Based View of Language Model Fine-Tuning. 2022 abs/2210.05643 CoRR https://doi.org/10.48550/arXiv.2210.05643 db/journals/corr/corr2210.html#abs-2210-05643

Arushi Gupta Nikunj Saunshi Dingli Yu Kaifeng Lyu Sanjeev Arora New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound. 2022 abs/2211.02912 CoRR https://doi.org/10.48550/arXiv.2211.02912 db/journals/corr/corr2211.html#abs-2211-02912

Szilárd Novoth Qian Zhang 0002 Kang Ji Dingli Yu Distributed Formation Control for Multi-Vehicle Systems With Splitting and Merging Capability. 355-360 2021 5 IEEE Control. Syst. Lett. 1 https://doi.org/10.1109/LCSYS.2020.3002218 db/journals/csysl/csysl5.html#NovothZJY21

Yulin Mao Shuangxin Wang Dingli Yu Juchao Zhao Automatic image detection of multi-type surface defects on wind turbine blades based on cascade deep learning network. 463-482 2021 25 Intell. Data Anal. 2 https://doi.org/10.3233/IDA-205143 db/journals/ida/ida25.html#MaoWYZ21

Yufei Ma 0003 Shuangxin Wang Dingli Yu Kaihua Zhu Robust visual-inertial odometry with point and line features for blade inspection UAV. 179-188 2021 48 Ind. Robot 2 https://doi.org/10.1108/IR-01-2020-0009 db/journals/irob/irob48.html#MaWYZ21

Yiran Shi Shoutao Li Shuangxin Wang Yujia Zhai Yantao Tian Ding-Li Yu Pitch angle control with fault diagnosis and tolerance for wind turbine generation systems. 2021 235 J. Syst. Control. Eng. 8 https://doi.org/10.1177/0959651821993689 db/journals/jsce/jsce235.html#ShiLWZTY21

Shoutao Li Yiran Shi Yujia Zhai Shuangxin Wang Yantao Tian Ding-Li Yu Friction fault diagnosis and fault tolerant control for electronic throttles with sliding mode and adaptive RBF estimator. 2021 235 J. Syst. Control. Eng. 9 https://doi.org/10.1177/09596518211012515 db/journals/jsce/jsce235.html#LiSZWTY21

Yiran Shi Dingli Yu Hongyan Shi Yaowu Shi A New Concept of Fractional Order Cumulant and It-Based Signal Processing in α and/or Gaussian Noise. 1849-1863 2021 67 IEEE Trans. Inf. Theory 3 https://doi.org/10.1109/TIT.2020.3042347 db/journals/tit/tit67.html#ShiYSS21

Yantao Tian Yanbo Zhao Yiran Shi Xuanhao Cao Ding-Li Yu The indirect shared steering control under double loop structure of driver and automation. 1403-1416 2020 7 IEEE CAA J. Autom. Sinica 5 https://doi.org/10.1109/JAS.2019.1911639 db/journals/ieeejas/ieeejas7.html#TianZSCY20

Haiying Qi Yiran Shi Shoutao Li Yantao Tian Ding-Li Yu J. B. Gomm Fault tolerant control for nonlinear systems using sliding mode and adaptive neural network estimator. 11535-11544 2020 24 Soft Comput. 15 https://doi.org/10.1007/s00500-019-04618-8 https://www.wikidata.org/entity/Q126468893 db/journals/soco/soco24.html#QiSLTYG20

Sanjeev Arora Simon S. Du Zhiyuan Li 0005 Ruslan Salakhutdinov Ruosong Wang Dingli Yu Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks. 2020 ICLR https://openreview.net/forum?id=rkl8sJBYvH conf/iclr/2020 db/conf/iclr/iclr2020.html#AroraD0SWY20 Wei Hu 0014 Zhiyuan Li 0005 Dingli Yu Simple and Effective Regularization Methods for Training on Noisily Labeled Data with Generalization Guarantee. 2020 ICLR https://openreview.net/forum?id=Hke3gyHYwH conf/iclr/2020 db/conf/iclr/iclr2020.html#HuLY20 Pingzhong Tang Dingli Yu Shengyu Zhao Characterization of Group-strategyproof Mechanisms for Facility Location in Strictly Convex Space. 133-157 2020 EC https://doi.org/10.1145/3391403.3399471 https://www.wikidata.org/entity/Q130915687 conf/sigecom/2020 db/conf/sigecom/sigecom2020.html#TangYZ20

Zifeng Qiu Shuangxin Wang Zhaoxi Zeng Dingli Yu Automatic visual defects inspection of wind turbine blades via YOLO-based small object detection approach. 043023 2019 28 J. Electronic Imaging 4 https://doi.org/10.1117/1.JEI.28.4.043023 db/journals/jei/jei28.html#QiuWZY19

Kang Ji Qian Zhang 0002 Hui Cheng 0004 Dingli Yu A Virtual Force Interaction Scheme for Monitoring Complex Unknown Environments by Autonomous Mobile Robots. 95-100 2019 ECC https://doi.org/10.23919/ECC.2019.8795888 conf/eucc/2019 db/conf/eucc/eucc2019.html#JiZCY19 Kingsley Madubuike Cliff Mayhew Qian Zhang 0002 J. Barry Gomm Ding-Li Yu Fault diagnosis for wind turbine systems using a neural network estimator. 1-7 2019 ICAC https://doi.org/10.23919/IConAC.2019.8895150 conf/iconac/2019 db/conf/iconac/iconac2019.html#MadubuikeMZGY19 Kingsley Madubuike Cliff Mayhew Qian Zhang 0002 J. Barry Gomm Ding-Li Yu Fault diagnosis for wind turbine systems using unknown input observer. 1-6 2019 ICAC https://doi.org/10.23919/IConAC.2019.8895151 conf/iconac/2019 db/conf/iconac/iconac2019.html#MadubuikeMZGY19a

Wei Hu 0014 Zhiyuan Li 0005 Dingli Yu Understanding Generalization of Deep Neural Networks Trained with Noisy Labels. 2019 abs/1905.11368 CoRR http://arxiv.org/abs/1905.11368 db/journals/corr/corr1905.html#abs-1905-11368

Sanjeev Arora Simon S. Du Zhiyuan Li 0005 Ruslan Salakhutdinov Ruosong Wang Dingli Yu Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks. 2019 abs/1910.01663 CoRR http://arxiv.org/abs/1910.01663 db/journals/corr/corr1910.html#abs-1910-01663

Zhiyuan Li 0005 Ruosong Wang Dingli Yu Simon S. Du Wei Hu 0014 Ruslan Salakhutdinov Sanjeev Arora Enhanced Convolutional Neural Tangent Kernels. 2019 abs/1911.00809 CoRR http://arxiv.org/abs/1911.00809 db/journals/corr/corr1911.html#abs-1911-00809

Lei Gu D. K. Siong Tok Ding-Li Yu Development of adaptive p-step RBF network model with recursive orthogonal least squares training. 1445-1454 2018 29 Neural Comput. Appl. 5 https://doi.org/10.1007/s00521-016-2669-x db/journals/nca/nca29.html#GuTY18

Ariel D. Procaccia Rodrigo A. Velez Dingli Yu Fair Rent Division on a Budget. 2018 AAAI https://doi.org/10.1609/aaai.v32i1.11465 conf/aaai/2018 db/conf/aaai/aaai2018.html#ProcacciaVY18 1177-1184 Pingzhong Tang Dingli Yu Balanced Outcomes in Wage Bargaining. 2091-2093 2018 AAMAS http://dl.acm.org/citation.cfm?id=3238082 conf/atal/2018 db/conf/atal/aamas2018.html#TangY18 Haiying Qi Abdelkarim M. Ertiame Kingsley Madubuike Ding-Li Yu J. Barry Gomm Nonlinear Observer Fault Detection for a Multivariable Process Using a Learning Methodology. 1-6 2018 ICAC https://doi.org/10.23919/IConAC.2018.8749081 conf/iconac/2018 db/conf/iconac/iconac2018.html#QiEMYG18 Haiying Qi Abdelkarim M. Ertiame Kingsley Madubuike Ding-Li Yu J. Barry Gomm Failure Prediction for an Exothermic Semi-batch Reactor via A combined EKF with Statistical Method. 1-6 2018 ICAC https://doi.org/10.23919/IConAC.2018.8749084 conf/iconac/2018 db/conf/iconac/iconac2018.html#QiEMYG18a

Pingzhong Tang Dingli Yu Shengyu Zhao Group-Strategyproof mechanisms for facility location with Euclidean distance. 2018 abs/1808.06320 CoRR http://arxiv.org/abs/1808.06320 db/journals/corr/corr1808.html#abs-1808-06320

D. K. Siong Tok Yiran Shi Yantao Tian Ding-Li Yu Factorized f-step radial basis function model for model predictive control. 102-112 2017 239 Neurocomputing https://doi.org/10.1016/j.neucom.2017.02.008 db/journals/ijon/ijon239.html#TokSTY17

Quan Min Zhu Dingli Yu Dong-Ya Zhao An enhanced linear Kalman filter (EnLKF) algorithm for parameter estimation of nonlinear rational models. 451-461 2017 48 Int. J. Syst. Sci. 3 https://doi.org/10.1080/00207721.2016.1186243 db/journals/ijsysc/ijsysc48.html#ZhuYZ17

Mohammed Sufian Xun Chen Dingli Yu Investigating the capability of precision in robotic grinding. 1-6 2017 ICAC https://doi.org/10.23919/IConAC.2017.8081984 conf/iconac/2017 db/conf/iconac/iconac2017.html#SufianCY17 Majid Borairi Majeed Soufian D. L. Yu Fault detection observer of a pilot plant papermaking machine. 1820-1824 2017 ISIE https://doi.org/10.1109/ISIE.2017.8001525 conf/isie/2017 db/conf/isie/isie2017.html#BorairiSY17

Wesley Pegden Ariel D. Procaccia Dingli Yu A partisan districting protocol with provably nonpartisan outcomes. 2017 abs/1710.08781 CoRR http://arxiv.org/abs/1710.08781 db/journals/corr/corr1710.html#abs-1710-08781

Kumaran Rajarathinam J. Barry Gomm Ding-Li Yu Ahmed Saad Abdelhadi PID controller tuning for a multivariable glass furnace process by genetic algorithm. 64-72 2016 13 Int. J. Autom. Comput. 1 https://doi.org/10.1007/s11633-015-0910-1 db/journals/ijautcomp/ijautcomp13.html#RajarathinamGYA16

Kumaran Rajarathinam J. Barry Gomm Dingli Yu Ahmed Saad Abdelhadi Model parameters identification for excess oxygen by Standard Genetic Algorithm. 198-203 2016 ICAC https://doi.org/10.1109/IConAC.2016.7604918 conf/iconac/2016 db/conf/iconac/iconac2016.html#RajarathinamGYA16

Yiran Shi Ding-Li Yu Yantao Tian Yaowu Shi Air-fuel ratio prediction and NMPC for SI engines with modified Volterra model and RBF network. 313-324 2015 45 Eng. Appl. Artif. Intell. https://doi.org/10.1016/j.engappai.2015.07.008 db/journals/eaai/eaai45.html#ShiYTS15

D. K. Siong Tok Dingli Yu Christian Mathews Dong-Ya Zhao Quan Min Zhu Adaptive structure radial basis function network model for processes with operating region migration. 186-193 2015 155 Neurocomputing https://doi.org/10.1016/j.neucom.2014.12.030 db/journals/ijon/ijon155.html#TokYMZZ15

Shuangxin Wang Guibin Tian Dingli Yu Yijiang Lin Dynamic Particle Swarm Optimization with Any Irregular Initial Small-World Topology. 1-23 2015 6 Int. J. Swarm Intell. Res. 4 https://doi.org/10.4018/IJSIR.2015100101 db/journals/ijsir/ijsir6.html#WangTYL15

Kumaran Rajarathianm J. Barry Gomm Karl O. Jones Dingli Yu Predetermined time constant approximation method for optimising search space boundary by standard genetic algorithm. 38-45 2015 CompSysTech https://doi.org/10.1145/2812428.2812466 conf/compsystech/2015 db/conf/compsystech/compsystech2015.html#RajarathianmGJY15 Kumaran Rajarathinam J. Barry Gomm Dingli Yu Ahmed Saad Abdelhadi An improved search space resizing method for model identification by Standard Genetic Algorithm. 1-6 2015 ICAC https://doi.org/10.1109/IConAC.2015.7313940 conf/iconac/2015 db/conf/iconac/iconac2015.html#RajarathinamGYA15

Mahanijah Md Kamal D. W. Yu D. L. Yu Fault detection and isolation for PEM fuel cell stack with independent RBF model. 52-63 2014 28 Eng. Appl. Artif. Intell. https://doi.org/10.1016/j.engappai.2013.10.002 db/journals/eaai/eaai28.html#KamalYY14

Kumaran Rajarathinam J. Barry Gomm Dingli Yu Ahmed Saad Abdelhadi Decentralised PID control tuning for a multivariable glass furnace by genetic algorithm. 14-19 2014 ICAC https://doi.org/10.1109/IConAC.2014.6935453 conf/iconac/2014 db/conf/iconac/iconac2014.html#RajarathinamGYA14 Yusheng Liu Ding-Li Yu Robust fault detection for wind turbine systems. 38-42 2014 ICAC https://doi.org/10.1109/IConAC.2014.6935457 conf/iconac/2014 db/conf/iconac/iconac2014.html#LiuY14 Ahmed Saad Abdelhadi J. Barry Gomm Dingli Yu Kumaran Rajarathinam Nonlinear system identification and control of a pH process using Local Linear Model Networks strategy. 254-259 2014 ICAC https://doi.org/10.1109/IConAC.2014.6935496 conf/iconac/2014 db/conf/iconac/iconac2014.html#AbdelhadiGYR14

Omar Ragb Dong-Ya Zhao Dingli Yu Quan Min Zhu Comparison study of different non-linear feed-forward controllers for oxygen starvation control of PEM fuel cell stacks. 352-360 2013 19 Int. J. Model. Identif. Control. 4 https://doi.org/10.1504/IJMIC.2013.055653 db/journals/ijmic/ijmic19.html#RagbZYZ13

Adnan Hamad Dong-Ya Zhao Dingli Yu Quan Min Zhu On-board monitoring of air path for automotive IC engines. 1-15 2013 20 Int. J. Model. Identif. Control. 1 https://doi.org/10.1504/IJMIC.2013.055908 db/journals/ijmic/ijmic20.html#HamadZYZ13

Abdelkarim M. Ertiame Dingli Yu Feng Yu J. B. Gomm Fault detection and isolation for open-loop Chylla-Haase polymerization reactor. 1-6 2013 ICAC https://ieeexplore.ieee.org/document/6662029/ conf/iconac/2013 db/conf/iconac/iconac2013.html#ErtiameYYG13 M. K. Mahanijah D. W. Yu D. L. Yu Fault detection and isolation based on feedforward-feedback control for oxygen excess of fuel cell stack. 1-5 2013 ICAC https://ieeexplore.ieee.org/document/6662030/ conf/iconac/2013 db/conf/iconac/iconac2013.html#MahanijahYY13 Magdi M. Nabi Dingli Yu Feng Yu RBF model based predictive control for exothermic semi-batch polymerizations. 1-5 2013 ICAC https://ieeexplore.ieee.org/document/6662045/ conf/iconac/2013 db/conf/iconac/iconac2013.html#NabiYY13 Omar Ragb Karl O. Jones Dingli Yu J. Barry Gomm Adaptive feed-forward and feedback control using neural networks for oxygen ratio in fuel cell stacks. 323-328 2011 CompSysTech https://doi.org/10.1145/2023607.2023662 conf/compsystech/2011 db/conf/compsystech/compsystech2011.html#RagbJYG11 Adnan Hamad Karl O. Jones Dingli Yu J. B. Gomm Mahavir S. Sangha Residual generation for fault detection of internal combustion engine. 329-334 2011 CompSysTech https://doi.org/10.1145/2023607.2023663 conf/compsystech/2011 db/conf/compsystech/compsystech2011.html#HamadJYGS11

Yu-Jia Zhai Ding-Wen Yu Hong-Yu Guo Ding-Li Yu Robust air/fuel ratio control with adaptive DRNN model and AD tuning. 283-289 2010 23 Eng. Appl. Artif. Intell. 2 https://doi.org/10.1016/j.engappai.2009.12.006 db/journals/eaai/eaai23.html#ZhaiYGY10

Yu-Jia Zhai Ding-Li Yu Neural network model-based automotive engine air/fuel ratio control and robustness evaluation. 171-180 2009 22 Eng. Appl. Artif. Intell. 2 https://doi.org/10.1016/j.engappai.2008.08.001 db/journals/eaai/eaai22.html#ZhaiY09

Mahavir S. Sangha Dingli Yu J. Barry Gomm Robustness assessment and adaptive FDI for car engine. 109-118 2008 5 Int. J. Autom. Comput. 2 https://doi.org/10.1007/s11633-008-0109-9 db/journals/ijautcomp/ijautcomp5.html#SanghaYG08

Mahavir S. Sangha J. Barry Gomm Dingli Yu Neural network fault classification of transient data in an automotive engine air path. 148-155 2008 3 Int. J. Model. Identif. Control. 2 https://doi.org/10.1504/IJMIC.2008.019352 db/journals/ijmic/ijmic3.html#SanghaGY08

Shiwei Wang D. L. Yu Adaptive RBF network for parameter estimation and stable air-fuel ratio control. 102-112 2008 21 Neural Networks 1 https://doi.org/10.1016/j.neunet.2007.10.006 https://www.wikidata.org/entity/Q47994722 db/journals/nn/nn21.html#WangY08

Ding-Li Yu Ding-Wen Yu A new structure adaptation algorithm for RBF networks and its application. 91-100 2007 16 Neural Comput. Appl. 1 https://doi.org/10.1007/s00521-006-0067-5 db/journals/nca/nca16.html#YuY07

Shiwei Wang D. L. Yu Robust Integral Sliding Mode Control against Matched and Unmatched System Uncertainty. 1483-1488 2007 conf/imecs/2007 IMECS db/conf/imecs/imecs2007.html#WangY07 Shiwei Wang D. L. Yu A New Fuel Injection Control Solution via Simple and Adaptive Sliding Mode. 1528-1535 2007 conf/imecs/2007 IMECS db/conf/imecs/imecs2007.html#WangY07a Shiwei Wang Dingli Yu Neural Network in Stable Adaptive Control Law for Automotive Engines. 122-131 2007 conf/isnn/2007-1 ISNN (1) https://doi.org/10.1007/978-3-540-72383-7_16 db/conf/isnn/isnn2007-1.html#WangY07 Yu-Jia Zhai Ding-Li Yu A Neural Network Model Based MPC of Engine AFR with Single-Dimensional Optimization. 339-348 2007 conf/isnn/2007-1 ISNN (1) https://doi.org/10.1007/978-3-540-72383-7_40 db/conf/isnn/isnn2007-1.html#ZhaiY07 D. L. Yu T. K. Chang D. W. Yu An On-Line Learning Algorithm of Parallel Mode for MLPN Models. 432-437 2007 conf/isnn/2007-2 ISNN (2) https://doi.org/10.1007/978-3-540-72393-6_52 db/conf/isnn/isnn2007-2.html#YuCY07

S. W. Wang D. L. Yu J. B. Gomm G. F. Page S. S. Douglas Adaptive neural network model based predictive control for air-fuel ratio of SI engines. 189-200 2006 19 Eng. Appl. Artif. Intell. 2 https://doi.org/10.1016/j.engappai.2005.08.005 db/journals/eaai/eaai19.html#WangYGPD06

Ding-Li Yu Ding-Wen Yu J. Barry Gomm Neural model adaptation and predictive control of a chemical process rig. 828-840 2006 14 IEEE Trans. Control. Syst. Technol. 5 https://doi.org/10.1109/TCST.2006.876906 db/journals/tcst/tcst14.html#YuYG06

Shiwei Wang D. L. Yu Neural Network Parameter Adaptation for a Fuel Injection Control System. 558-561 2006 conf/ccece/2006 CCECE https://doi.org/10.1109/CCECE.2006.277816 db/conf/ccece/ccece2006.html#WangY06a Shiwei Wang D. L. Yu An Application of Second-Order Sliding Mode Control for IC Engine Fuel Injection. 1035-1038 2006 conf/ccece/2006 CCECE https://doi.org/10.1109/CCECE.2006.277811 db/conf/ccece/ccece2006.html#WangY06b Ding-Li Yu Thoonkhin Chang Fault Diagnosis with Enhanced Neural Network Modelling. 358-363 2006 conf/isnn/2006-3 ISNN (2) https://doi.org/10.1007/11760191_53 db/conf/isnn/isnn2006-3.html#YuC06 Ding-Wen Yu Ding-Li Yu Adaptive Pseudo Linear RBF Model for Process Control. 1013-1018 2006 conf/isnn/2006-2 ISNN (2) https://doi.org/10.1007/11760023_149 db/conf/isnn/isnn2006-2.html#YuY06

D. L. Yu T. K. Chang D. W. Yu Adaptive neural model-based fault tolerant control for multi-variable processes. 393-411 2005 18 Eng. Appl. Artif. Intell. 4 https://doi.org/10.1016/j.engappai.2004.10.003 db/journals/eaai/eaai18.html#YuCY05

Shiwei Wang Ding-Li Yu Adaptive air-fuel ratio control with MLP network. 125-133 2005 2 Int. J. Autom. Comput. 2 https://doi.org/10.1007/s11633-005-0125-y db/journals/ijautcomp/ijautcomp2.html#WangY05

Dingli Yu T. Chang Adaptation of diagonal recurrent neural network model. 189-197 2005 14 Neural Comput. Appl. 3 https://doi.org/10.1007/s00521-004-0453-9 db/journals/nca/nca14.html#YuC05

Ding-Li Yu Thoonkhin Chang Ding-Wen Yu Fault tolerant control of multivariable processes using auto-tuning PID controller. 32-43 2005 35 IEEE Trans. Syst. Man Cybern. Part B 1 https://doi.org/10.1109/TSMCB.2004.839247 https://www.wikidata.org/entity/Q48954111 db/journals/tsmc/tsmcb35.html#YuCY05

Ding-Li Yu Thoonkhin Chang Jin Wang 0042 Fault Tolerant Control of Nonlinear Processes with Adaptive Diagonal Recurrent Neural Network Model. 86-91 2005 conf/isnn/2005-3 ISNN (3) https://doi.org/10.1007/11427469_13 db/conf/isnn/isnn2005-3.html#YuCW05 Ding-Li Yu Ding-Wen Yu Detecting Sensor Faults for a Chemical Reactor Rig via Adaptive Neural Network Model. 544-549 2005 conf/isnn/2005-3 ISNN (3) https://doi.org/10.1007/11427469_87 db/conf/isnn/isnn2005-3.html#YuY05 Ding-Li Yu Michael Beham Comparative Study on Engine Torque Modelling Using Different Neural Networks. 865-870 2005 conf/isnn/2005-3 ISNN (3) https://doi.org/10.1007/11427469_137 db/conf/isnn/isnn2005-3.html#YuB05

Thoonkhin Chang Ding-Li Yu Ding-Wen Yu Neural network model adaptation and its application to process control. 1-8 2004 18 Adv. Eng. Informatics 1 https://doi.org/10.1016/j.aei.2004.01.001 db/journals/aei/aei18.html#ChangDYY04

Dingli Yu A Localized Forgetting Method for Gaussian RBFN Model Adaptation. 125-135 2004 20 Neural Process. Lett. 2 https://doi.org/10.1007/s11063-004-0636-5 db/journals/npl/npl20.html#Yu04

Ding-Li Yu Ding-Wen Yu A linear parameter-varying radial basis function model and predictive control of a chemical reactor. 747-761 2003 34 Int. J. Syst. Sci. 14-15 https://doi.org/10.1080/00207720310001640232 db/journals/ijsysc/ijsysc34.html#YuY03

Ding-Wen Yu Ding-Li Yu Neural network control of multivariable processes with a fast optimisation algorithm. 185-189 2003 12 Neural Comput. Appl. 3-4 https://doi.org/10.1007/s00521-003-0381-0 db/journals/nca/nca12.html#YuY03

D. L. Yu J. B. Gomm Enhanced Neural Network Modelling for a Real Multi-variable Chemical Process. 289-299 2002 10 Neural Comput. Appl. 4 https://doi.org/10.1007/s005210200001 db/journals/nca/nca10.html#YuG02

D. L. Yu Derek Nicholas Shields Extension of the parity-space method to fault diagnosis of bilinear systems. 953-962 2001 32 Int. J. Syst. Sci. 8 https://doi.org/10.1080/00207720120982 db/journals/ijsysc/ijsysc32.html#YuS01

J. B. Gomm D. L. Yu Order and delay selection for neural network modelling by identification of linearized models. 1273-1283 2000 31 Int. J. Syst. Sci. 10 https://doi.org/10.1080/00207720050165771 db/journals/ijsysc/ijsysc31.html#GommY00

Ding-Li Yu Diagnosing simulated faults for an industrial furnace based on bilinear model. 435-442 2000 8 IEEE Trans. Control. Syst. Technol. 3 https://doi.org/10.1109/87.845874 db/journals/tcst/tcst8.html#Yu00

J. Barry Gomm D. L. Yu Selecting radial basis function network centers with recursive orthogonal least squares training. 306-314 2000 11 IEEE Trans. Neural Networks Learn. Syst. 2 https://doi.org/10.1109/72.839002 https://www.wikidata.org/entity/Q47935340 db/journals/tnn/tnn11.html#GommY00

D. L. Yu J. B. Gomm D. Williams A Recursive Orthogonal Least Squares Algorithm for Training RBF Networks. 167-176 1997 5 Neural Process. Lett. 3 db/journals/npl/npl5.html#YuGW97 https://doi.org/10.1023/A:1009622226531

D. L. Yu Derek Nicholas Shields A bilinear fault detection observer. 1597-1602 1996 32 Autom. 11 https://doi.org/10.1016/S0005-1098(96)00111-2 db/journals/automatica/automatica32.html#YuS96

Dingli Yu Derek Nicholas Shields Steve Daley A Hybrid Fault Diagnosis Approach Using Neural Networks. 21-26 1996 4 Neural Comput. Appl. 1 db/journals/nca/nca4.html#YuSD96 https://doi.org/10.1007/BF01413866

Dingli Yu Derek Nicholas Shields Steve Daley Application of Radial Basis Function Networks to Fault Diagnosis for a Hydraulic System. 100-103 1995 ICANNGA https://doi.org/10.1007/978-3-7091-7535-4_28 conf/icannga/1995 db/conf/icannga/icannga1995.html#YuSD95 Dingli Yu Derek Nicholas Shields Optimally Robust Fault Diagnosis Using Genetic Algorithms. 104-107 1995 ICANNGA https://doi.org/10.1007/978-3-7091-7535-4_29 conf/icannga/1995 db/conf/icannga/icannga1995.html#YuS95 Ahmed Saad Abdelhadi Marah I Abdin Jyoti Aneja Sanjeev Arora Michael Beham Harkirat S. Behl Yoshua Bengio Majid Borairi Jonah Brown-Cohen Sébastien Bubeck Xuanhao Cao T. Chang T. K. Chang Thoonkhin Chang Danqi Chen 0001 Xun Chen Hui Cheng 0004 Yun Cheng Steve Daley Chuiyi Deng S. S. Douglas Simon S. Du Ronen Eldan Abdelkarim M. Ertiame J. B. GommJ. Barry GommBarry Gomm Anirudh Goyal Lei Gu Xinran Gu Suriya Gunasekar Hong-Yu Guo Arushi Gupta Adnan Hamad Michael Harrison Soufiane Hayou Russell J. Hewett Wei Hu 0014 Yangsibo Huang Mojan Javaheripi Kang Ji Jiading Jiang Karl O. Jones Mahanijah Md Kamal Piero Kauffmann Simran Kaur 0001 Nan Rosemary Ke James R. Lee Yin Tat Lee He Li 0024 Hongrui Li Meng Li Shoutao Li Yuanzhi Li Zhiyuan Li 0005 Yijiang Lin Weishung Liu Yusheng Liu Azizeh Lotfivand Kaifeng Lyu Yufei Ma 0003 Kingsley Madubuike M. K. Mahanijah Sadhika Malladi Yulin Mao Christian Mathews Cliff Mayhew Marko Medvedev Caio C. T. Mendes Michael C. MozerMichael Mozer Magdi M. Nabi Anh Nguyen Szilárd Novoth Junmei Ou G. F. Page Abhishek Panigrahi Simon Park 0002 Wesley Pegden Eric Price 0001 Ariel D. Procaccia Haiying Qi Zifeng Qiu Ruyi Qu Omar Ragb Kumaran RajarathinamKumaran Rajarathianm Gustavo de Rosa Olga Russakovsky Olli Saarikivi Ruslan Salakhutdinov Adil Salim Mahavir S. Sangha Nikunj Saunshi Shital Shah Vedant Shah Hongyan Shi Yaowu Shi Yiran Shi Derek Nicholas Shields Majeed Soufian Nathan Srebro Mohammed Sufian Pingzhong Tang Guibin Tian Yantao Tian D. K. Siong Tok Rodrigo A. Velez Jin Wang 0042 Ruosong Wang S. W. Wang Shiwei Wang Shuangxin Wang Tianhao Wang 0017 Xin Wang 0066 Zihao Wang Rachel Ward Alexander Wettig D. Williams Xindi Wu Yue Wu Zilong Xu Greg Yang Zaili Yang D. W. Yu Feng Yu Dingwen YuanDing-Wen Yu Zhi Yuan Zhaoxi Zeng Yu-Jia Zhai Yujia Zhai Cyril Zhang Qian Zhang 0002 Yi Zhang 0001 Yu Zhang Dong-Ya Zhao Haoyu Zhao Juchao Zhao Shengyu Zhao Yanbo Zhao Ziang Zhou Chen Zhu Kaihua Zhu Quanmin ZhuQuan Min Zhu