Dingli Yu

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 35

Top Topics

Imbalanced Datasets

Regularization Methods

Facility Location

Top Venues

Publications

Vedant Shah, Dingli Yu, Kaifeng Lyu, Simon Park, Nan Rosemary Ke, Michael Mozer, Yoshua Bengio, Sanjeev Arora, Anirudh Goyal
AI-Assisted Generation of Difficult Math Questions. CoRR (2024)
Dingli Yu, Simran Kaur, Arushi Gupta, Jonah Brown-Cohen, Anirudh Goyal, Sanjeev Arora
SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models. ICLR (2024)
Greg Yang, Dingli Yu, Chen Zhu, Soufiane Hayou
Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks. ICLR (2024)
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. Neurocomputing 583 (2024)
Kaifeng Lyu, Haoyu Zhao, Xinran Gu, Dingli Yu, Anirudh Goyal, Sanjeev Arora
Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates. CoRR (2024)
Greg Yang, Dingli Yu, Chen Zhu, Soufiane Hayou
Tensor Programs VI: Feature Learning in Infinite-Depth Neural Networks. CoRR (2023)
Dingli Yu, Simran Kaur, Arushi Gupta, Jonah Brown-Cohen, Anirudh Goyal, Sanjeev Arora
Skill-Mix: a Flexible and Expandable Family of Evaluations for AI models. CoRR (2023)
Sadhika Malladi, Alexander Wettig, Dingli Yu, Danqi Chen, Sanjeev Arora
A Kernel-Based View of Language Model Fine-Tuning. ICML (2023)
Azizeh Lotfivand, Dingli Yu, Barry Gomm
State of Charge Estimation Using Unscented Kalman Filter in Electric Vehicles. ICAC (2023)
Zhiyuan Li, Tianhao Wang, Dingli Yu
Fast Mixing of Stochastic Gradient Descent with Normalization and Weight Decay. NeurIPS (2022)
Arushi Gupta, Nikunj Saunshi, Dingli Yu, Kaifeng Lyu, Sanjeev Arora
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound. CoRR (2022)
Arushi Gupta, Nikunj Saunshi, Dingli Yu, Kaifeng Lyu, Sanjeev Arora
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound. NeurIPS (2022)
Kang Ji, Qian Zhang, Dingli Yu
A Virtual Force-Based Strategy for Multi-robot Target Search. UKCI (2022)
Kang Ji, Qian Zhang, Zhi Yuan, Hui Cheng, Dingli Yu
A virtual force interaction scheme for multi-robot environment monitoring. Robotics Auton. Syst. 149 (2022)
Sadhika Malladi, Alexander Wettig, Dingli Yu, Danqi Chen, Sanjeev Arora
A Kernel-Based View of Language Model Fine-Tuning. CoRR (2022)
Azizeh Lotfivand, Dingli Yu, J. Barry Gomm
State Of Charge estimation using Extended Kalman Filter in Electric Vehicles. ICAC (2022)
Szilárd Novoth, Qian Zhang, Kang Ji, Dingli Yu
Distributed Formation Control for Multi-Vehicle Systems With Splitting and Merging Capability. IEEE Control. Syst. Lett. 5 (1) (2021)
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. IEEE Trans. Inf. Theory 67 (3) (2021)
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. Intell. Data Anal. 25 (2) (2021)
Yufei Ma, Shuangxin Wang, Dingli Yu, Kaihua Zhu
Robust visual-inertial odometry with point and line features for blade inspection UAV. Ind. Robot 48 (2) (2021)
Sanjeev Arora, Simon S. Du, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang, Dingli Yu
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks. ICLR (2020)
Wei Hu, Zhiyuan Li, Dingli Yu
Simple and Effective Regularization Methods for Training on Noisily Labeled Data with Generalization Guarantee. ICLR (2020)
Pingzhong Tang, Dingli Yu, Shengyu Zhao
Characterization of Group-strategyproof Mechanisms for Facility Location in Strictly Convex Space. EC (2020)
Kang Ji, Qian Zhang, Hui Cheng, Dingli Yu
A Virtual Force Interaction Scheme for Monitoring Complex Unknown Environments by Autonomous Mobile Robots. ECC (2019)
Wei Hu, Zhiyuan Li, Dingli Yu
Understanding Generalization of Deep Neural Networks Trained with Noisy Labels. CoRR (2019)
Zhiyuan Li, Ruosong Wang, Dingli Yu, Simon S. Du, Wei Hu, Ruslan Salakhutdinov, Sanjeev Arora
Enhanced Convolutional Neural Tangent Kernels. CoRR (2019)
Sanjeev Arora, Simon S. Du, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang, Dingli Yu
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks. CoRR (2019)
Zifeng Qiu, Shuangxin Wang, Zhaoxi Zeng, Dingli Yu
Automatic visual defects inspection of wind turbine blades via YOLO-based small object detection approach. J. Electronic Imaging 28 (4) (2019)
Pingzhong Tang, Dingli Yu
Balanced Outcomes in Wage Bargaining. AAMAS (2018)
Ariel D. Procaccia, Rodrigo A. Velez, Dingli Yu
Fair Rent Division on a Budget. AAAI (2018)
Pingzhong Tang, Dingli Yu, Shengyu Zhao
Group-Strategyproof mechanisms for facility location with Euclidean distance. CoRR (2018)
Mohammed Sufian, Xun Chen, Dingli Yu
Investigating the capability of precision in robotic grinding. ICAC (2017)
Wesley Pegden, Ariel D. Procaccia, Dingli Yu
A partisan districting protocol with provably nonpartisan outcomes. CoRR (2017)
Quan Min Zhu, Dingli Yu, Dong-Ya Zhao
An enhanced linear Kalman filter (EnLKF) algorithm for parameter estimation of nonlinear rational models. Int. J. Syst. Sci. 48 (3) (2017)
Kumaran Rajarathinam, J. Barry Gomm, Dingli Yu, Ahmed Saad Abdelhadi
Model parameters identification for excess oxygen by Standard Genetic Algorithm. ICAC (2016)
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. Neurocomputing 155 (2015)
Kumaran Rajarathianm, J. Barry Gomm, Karl O. Jones, Dingli Yu
Predetermined time constant approximation method for optimising search space boundary by standard genetic algorithm. CompSysTech (2015)
Kumaran Rajarathinam, J. Barry Gomm, Dingli Yu, Ahmed Saad Abdelhadi
An improved search space resizing method for model identification by Standard Genetic Algorithm. ICAC (2015)
Shuangxin Wang, Guibin Tian, Dingli Yu, Yijiang Lin
Dynamic Particle Swarm Optimization with Any Irregular Initial Small-World Topology. Int. J. Swarm Intell. Res. 6 (4) (2015)
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. ICAC (2014)
Kumaran Rajarathinam, J. Barry Gomm, Dingli Yu, Ahmed Saad Abdelhadi
Decentralised PID control tuning for a multivariable glass furnace by genetic algorithm. ICAC (2014)
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. Int. J. Model. Identif. Control. 19 (4) (2013)
Magdi M. Nabi, Dingli Yu, Feng Yu
RBF model based predictive control for exothermic semi-batch polymerizations. ICAC (2013)
Abdelkarim M. Ertiame, Dingli Yu, Feng Yu, J. B. Gomm
Fault detection and isolation for open-loop Chylla-Haase polymerization reactor. ICAC (2013)
Adnan Hamad, Dong-Ya Zhao, Dingli Yu, Quan Min Zhu
On-board monitoring of air path for automotive IC engines. Int. J. Model. Identif. Control. 20 (1) (2013)
Adnan Hamad, Karl O. Jones, Dingli Yu, J. B. Gomm, Mahavir S. Sangha
Residual generation for fault detection of internal combustion engine. CompSysTech (2011)
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. CompSysTech (2011)
Mahavir S. Sangha, Dingli Yu, J. Barry Gomm
Robustness assessment and adaptive FDI for car engine. Int. J. Autom. Comput. 5 (2) (2008)
Mahavir S. Sangha, J. Barry Gomm, Dingli Yu
Neural network fault classification of transient data in an automotive engine air path. Int. J. Model. Identif. Control. 3 (2) (2008)
Shiwei Wang, Dingli Yu
Neural Network in Stable Adaptive Control Law for Automotive Engines. ISNN (1) (2007)
Dingli Yu, T. Chang
Adaptation of diagonal recurrent neural network model. Neural Comput. Appl. 14 (3) (2005)
Dingli Yu
A Localized Forgetting Method for Gaussian RBFN Model Adaptation. Neural Process. Lett. 20 (2) (2004)
Dingli Yu, Derek Nicholas Shields, Steve Daley
A Hybrid Fault Diagnosis Approach Using Neural Networks. Neural Comput. Appl. 4 (1) (1996)
Dingli Yu, Derek Nicholas Shields, Steve Daley
Application of Radial Basis Function Networks to Fault Diagnosis for a Hydraulic System. ICANNGA (1995)
Dingli Yu, Derek Nicholas Shields
Optimally Robust Fault Diagnosis Using Genetic Algorithms. ICANNGA (1995)