Dingli Yu - RankMe

68 papers A* 14A 1Journal 36Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Geometric Analysis-Based Safety Assessment Framework for MASS Route Decision-Making in Restricted Waters. CoRR Zilong Xu, Zihao Wang, He Li, Dingli Yu, Zaili Yang, Jin Wang
2025	A*	`conf`	Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs? ICML Simon Park, Abhishek Panigrahi, Yun Cheng, Dingli Yu, Anirudh Goyal, Sanjeev Arora
2025	J	`jnl`	Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs? CoRR Simon Park, Abhishek Panigrahi, Yun Cheng, Dingli Yu, Anirudh Goyal, Sanjeev Arora
2025	J	`jnl`	Handling data heterogeneity for wind turbine fault diagnosis via dynamic ensemble multilevel interactive learning. Eng. Appl. Artif. Intell. Shuangxin Wang, Hongrui Li, Jiading Jiang, Meng Li, Junmei Ou, Dingli Yu
2025	A*	`conf`	Weak-to-Strong Generalization Even in Random Feature Networks, Provably. ICML Marko Medvedev, Kaifeng Lyu, Dingli Yu, Sanjeev Arora, Zhiyuan Li, Nathan Srebro
2025	J	`jnl`	Weak-to-Strong Generalization Even in Random Feature Networks, Provably. CoRR Marko Medvedev, Kaifeng Lyu, Dingli Yu, Sanjeev Arora, Zhiyuan Li, Nathan Srebro
2024	J	`jnl`	AI-Assisted Generation of Difficult Math Questions. CoRR Vedant Shah, Dingli Yu, Kaifeng Lyu, Simon Park, Nan Rosemary Ke, Michael Mozer, Yoshua Bengio, Sanjeev Arora, Anirudh Goyal
2024	J	`jnl`	Augmenting the diversity of imbalanced datasets via multi-vector stochastic exploration oversampling. Neurocomputing Hongrui Li, Shuangxin Wang, Jiading Jiang, Chuiyi Deng, Junmei Ou, Ziang Zhou, Dingli Yu
2024	A*	`conf`	Can Models Learn Skill Composition from Examples? NeurIPS Haoyu Zhao, Simran Kaur, Dingli Yu, Anirudh Goyal, Sanjeev Arora
2024	J	`jnl`	Can Models Learn Skill Composition from Examples? CoRR Haoyu Zhao, Simran Kaur, Dingli Yu, Anirudh Goyal, Sanjeev Arora
2024	A*	`conf`	ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty. NeurIPS Xindi Wu, Dingli Yu, Yangsibo Huang, Olga Russakovsky, Sanjeev Arora
2024	J	`jnl`	ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty. CoRR Xindi Wu, Dingli Yu, Yangsibo Huang, Olga Russakovsky, Sanjeev Arora
2024	A*	`conf`	Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates. NeurIPS Kaifeng Lyu, Haoyu Zhao, Xinran Gu, Dingli Yu, Anirudh Goyal, Sanjeev Arora
2024	J	`jnl`	Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates. CoRR Kaifeng Lyu, Haoyu Zhao, Xinran Gu, Dingli Yu, Anirudh Goyal, Sanjeev Arora
2024	J	`jnl`	Phi-4 Technical Report. 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, Gustavo de Rosa, Olli Saarikivi, Adil Salim, Shital Shah, Xin Wang, Rachel Ward, Yue Wu, Dingli Yu, Cyril Zhang, Yi Zhang
2024	A*	`conf`	SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models. ICLR Dingli Yu, Simran Kaur, Arushi Gupta, Jonah Brown-Cohen, Anirudh Goyal, Sanjeev Arora
2024	A*	`conf`	Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks. ICLR Greg Yang, Dingli Yu, Chen Zhu, Soufiane Hayou
2023	A*	`conf`	A Kernel-Based View of Language Model Fine-Tuning. ICML Sadhika Malladi, Alexander Wettig, Dingli Yu, Danqi Chen, Sanjeev Arora
2023	J	`jnl`	Research on Freezing of Gait Recognition Method Based on Variational Mode Decomposition. Intell. Autom. Soft Comput. Shoutao Li, Ruyi Qu, Yu Zhang, Dingli Yu
2023	J	`jnl`	Skill-Mix: a Flexible and Expandable Family of Evaluations for AI models. CoRR Dingli Yu, Simran Kaur, Arushi Gupta, Jonah Brown-Cohen, Anirudh Goyal, Sanjeev Arora
2023	—	`conf`	State of Charge Estimation Using Unscented Kalman Filter in Electric Vehicles. ICAC Azizeh Lotfivand, Dingli Yu, Barry Gomm
2023	J	`jnl`	Tensor Programs VI: Feature Learning in Infinite-Depth Neural Networks. CoRR Greg Yang, Dingli Yu, Chen Zhu, Soufiane Hayou
2022	J	`jnl`	A Kernel-Based View of Language Model Fine-Tuning. CoRR Sadhika Malladi, Alexander Wettig, Dingli Yu, Danqi Chen, Sanjeev Arora
2022	—	`conf`	A Virtual Force-Based Strategy for Multi-robot Target Search. UKCI Kang Ji, Qian Zhang, Dingli Yu
2022	J	`jnl`	A virtual force interaction scheme for multi-robot environment monitoring. Robotics Auton. Syst. Kang Ji, Qian Zhang, Zhi Yuan, Hui Cheng, Dingli Yu
2022	A*	`conf`	Fast Mixing of Stochastic Gradient Descent with Normalization and Weight Decay. NeurIPS Zhiyuan Li, Tianhao Wang, Dingli Yu
2022	A*	`conf`	New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound. NeurIPS Arushi Gupta, Nikunj Saunshi, Dingli Yu, Kaifeng Lyu, Sanjeev Arora
2022	J	`jnl`	New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound. CoRR Arushi Gupta, Nikunj Saunshi, Dingli Yu, Kaifeng Lyu, Sanjeev Arora
2022	—	`conf`	State Of Charge estimation using Extended Kalman Filter in Electric Vehicles. ICAC Azizeh Lotfivand, Dingli Yu, J. Barry Gomm
2021	J	`jnl`	A New Concept of Fractional Order Cumulant and It-Based Signal Processing in α and/or Gaussian Noise. IEEE Trans. Inf. Theory Yiran Shi, Dingli Yu, Hongyan Shi, Yaowu Shi
2021	J	`jnl`	Automatic image detection of multi-type surface defects on wind turbine blades based on cascade deep learning network. Intell. Data Anal. Yulin Mao, Shuangxin Wang, Dingli Yu, Juchao Zhao
2021	J	`jnl`	Distributed Formation Control for Multi-Vehicle Systems With Splitting and Merging Capability. IEEE Control. Syst. Lett. Szilárd Novoth, Qian Zhang, Kang Ji, Dingli Yu
2021	J	`jnl`	Robust visual-inertial odometry with point and line features for blade inspection UAV. Ind. Robot Yufei Ma, Shuangxin Wang, Dingli Yu, Kaihua Zhu
2020	A*	`conf`	Characterization of Group-strategyproof Mechanisms for Facility Location in Strictly Convex Space. EC Pingzhong Tang, Dingli Yu, Shengyu Zhao
2020	A*	`conf`	Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks. ICLR Sanjeev Arora, Simon S. Du, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang, Dingli Yu
2020	A*	`conf`	Simple and Effective Regularization Methods for Training on Noisily Labeled Data with Generalization Guarantee. ICLR Wei Hu, Zhiyuan Li, Dingli Yu
2019	—	`conf`	A Virtual Force Interaction Scheme for Monitoring Complex Unknown Environments by Autonomous Mobile Robots. ECC Kang Ji, Qian Zhang, Hui Cheng, Dingli Yu
2019	J	`jnl`	Automatic visual defects inspection of wind turbine blades via YOLO-based small object detection approach. J. Electronic Imaging Zifeng Qiu, Shuangxin Wang, Zhaoxi Zeng, Dingli Yu
2019	J	`jnl`	Enhanced Convolutional Neural Tangent Kernels. CoRR Zhiyuan Li, Ruosong Wang, Dingli Yu, Simon S. Du, Wei Hu, Ruslan Salakhutdinov, Sanjeev Arora
2019	J	`jnl`	Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks. CoRR Sanjeev Arora, Simon S. Du, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang, Dingli Yu
2019	J	`jnl`	Understanding Generalization of Deep Neural Networks Trained with Noisy Labels. CoRR Wei Hu, Zhiyuan Li, Dingli Yu
2018	A	`conf`	Balanced Outcomes in Wage Bargaining. AAMAS Pingzhong Tang, Dingli Yu
2018	A*	`conf`	Fair Rent Division on a Budget. AAAI Ariel D. Procaccia, Rodrigo A. Velez, Dingli Yu
2018	J	`jnl`	Group-Strategyproof mechanisms for facility location with Euclidean distance. CoRR Pingzhong Tang, Dingli Yu, Shengyu Zhao
2017	J	`jnl`	A partisan districting protocol with provably nonpartisan outcomes. CoRR Wesley Pegden, Ariel D. Procaccia, Dingli Yu
2017	J	`jnl`	An enhanced linear Kalman filter (EnLKF) algorithm for parameter estimation of nonlinear rational models. Int. J. Syst. Sci. Quan Min Zhu, Dingli Yu, Dong-Ya Zhao
2017	—	`conf`	Investigating the capability of precision in robotic grinding. ICAC Mohammed Sufian, Xun Chen, Dingli Yu
2016	—	`conf`	Model parameters identification for excess oxygen by Standard Genetic Algorithm. ICAC Kumaran Rajarathinam, J. Barry Gomm, Dingli Yu, Ahmed Saad Abdelhadi
2015	J	`jnl`	Adaptive structure radial basis function network model for processes with operating region migration. Neurocomputing D. K. Siong Tok, Dingli Yu, Christian Mathews, Dong-Ya Zhao, Quan Min Zhu
2015	—	`conf`	An improved search space resizing method for model identification by Standard Genetic Algorithm. ICAC Kumaran Rajarathinam, J. Barry Gomm, Dingli Yu, Ahmed Saad Abdelhadi
2015	J	`jnl`	Dynamic Particle Swarm Optimization with Any Irregular Initial Small-World Topology. Int. J. Swarm Intell. Res. Shuangxin Wang, Guibin Tian, Dingli Yu, Yijiang Lin
2015	—	`conf`	Predetermined time constant approximation method for optimising search space boundary by standard genetic algorithm. CompSysTech Kumaran Rajarathianm, J. Barry Gomm, Karl O. Jones, Dingli Yu
2014	—	`conf`	Decentralised PID control tuning for a multivariable glass furnace by genetic algorithm. ICAC Kumaran Rajarathinam, J. Barry Gomm, Dingli Yu, Ahmed Saad Abdelhadi
2014	—	`conf`	Nonlinear system identification and control of a pH process using Local Linear Model Networks strategy. ICAC Ahmed Saad Abdelhadi, J. Barry Gomm, Dingli Yu, Kumaran Rajarathinam
2013	J	`jnl`	Comparison study of different non-linear feed-forward controllers for oxygen starvation control of PEM fuel cell stacks. Int. J. Model. Identif. Control. Omar Ragb, Dong-Ya Zhao, Dingli Yu, Quan Min Zhu
2013	—	`conf`	Fault detection and isolation for open-loop Chylla-Haase polymerization reactor. ICAC Abdelkarim M. Ertiame, Dingli Yu, Feng Yu, J. B. Gomm
2013	J	`jnl`	On-board monitoring of air path for automotive IC engines. Int. J. Model. Identif. Control. Adnan Hamad, Dong-Ya Zhao, Dingli Yu, Quan Min Zhu
2013	—	`conf`	RBF model based predictive control for exothermic semi-batch polymerizations. ICAC Magdi M. Nabi, Dingli Yu, Feng Yu
2011	—	`conf`	Adaptive feed-forward and feedback control using neural networks for oxygen ratio in fuel cell stacks. CompSysTech Omar Ragb, Karl O. Jones, Dingli Yu, J. Barry Gomm
2011	—	`conf`	Residual generation for fault detection of internal combustion engine. CompSysTech Adnan Hamad, Karl O. Jones, Dingli Yu, J. B. Gomm, Mahavir S. Sangha
2008	J	`jnl`	Neural network fault classification of transient data in an automotive engine air path. Int. J. Model. Identif. Control. Mahavir S. Sangha, J. Barry Gomm, Dingli Yu
2008	J	`jnl`	Robustness assessment and adaptive FDI for car engine. Int. J. Autom. Comput. Mahavir S. Sangha, Dingli Yu, J. Barry Gomm
2007	—	`conf`	Neural Network in Stable Adaptive Control Law for Automotive Engines. ISNN (1) Shiwei Wang, Dingli Yu
2005	J	`jnl`	Adaptation of diagonal recurrent neural network model. Neural Comput. Appl. Dingli Yu, T. Chang
2004	J	`jnl`	A Localized Forgetting Method for Gaussian RBFN Model Adaptation. Neural Process. Lett. Dingli Yu
1996	J	`jnl`	A Hybrid Fault Diagnosis Approach Using Neural Networks. Neural Comput. Appl. Dingli Yu, Derek Nicholas Shields, Steve Daley
1995	—	`conf`	Application of Radial Basis Function Networks to Fault Diagnosis for a Hydraulic System. ICANNGA Dingli Yu, Derek Nicholas Shields, Steve Daley
1995	—	`conf`	Optimally Robust Fault Diagnosis Using Genetic Algorithms. ICANNGA Dingli Yu, Derek Nicholas Shields