Mingrui Liu
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
- Mingrui Liu 001 (George Mason University, Fairfax, VA, USA)
- Mingrui Liu 002 (Nanyang Technological University, Singapore)
- Mingrui Liu 003 (Guilin University of Electronic Technology, Guilin, China)
- Mingrui Liu 004 (Shijiazhuang Tiedao University, Shijiazhuang, Hebei, China)
- Mingrui Liu 005 (Huawei Technologies, China)
Bibliography
2026
CoRR, May, 2026
CoRR, March, 2026
Tight Bounds for Logistic Regression with Large Stepsize Gradient Descent in Low Dimension.
CoRR, February, 2026
Trans. Mach. Learn. Res., 2026
Modelling fire behaviour in the lodgepole pine forests of interior British Columbia: An evaluation of models against field evidence.
Ecol. Informatics, 2026
2025
Noise-Adaptive Layerwise Learning Rates: Accelerating Geometry-Aware Optimization for Deep Neural Network Training.
CoRR, October, 2025
CoRR, October, 2025
BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining.
CoRR, October, 2025
Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization.
CoRR, September, 2025
Personalized Federated Fine-tuning for Heterogeneous Data: An Automatic Rank Learning Approach via Two-Level LoRA.
CoRR, March, 2025
On the Convergence of Adam-Type Algorithm for Bilevel Optimization under Unbounded Smoothness.
CoRR, March, 2025
IEEE Trans. Robotics, 2025
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Complexity Lower Bounds of Adaptive Gradient Algorithms for Non-convex Stochastic Optimization under Relaxed Smoothness.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
2024
Beyond Single-Model Views for Deep Learning: Optimization versus Generalizability of Stochastic Optimization Algorithms.
CoRR, 2024
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
LESS-Map: Lightweight and Evolving Semantic Map in Parking Lots for Long-term Self-Localization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023
EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the CAA Symposium on Fault Detection, 2023
2022
Adv. Intell. Syst., December, 2022
Trans. Mach. Learn. Res., 2022
Weakly-convex-concave min-max optimization: provable algorithms and applications in machine learning.
Optim. Methods Softw., 2022
A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks.
CoRR, 2022
A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the 5th International Conference on Communications, 2022
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022
2021
IEEE ACM Trans. Audio Speech Lang. Process., 2021
J. Mach. Learn. Res., 2021
Loss Landscape Dependent Self-Adjusting Learning Rates in Decentralized Stochastic Gradient Descent.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets.
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
CoRR, 2019
Learning with Long-term Remembering: Following the Lead of Mixed Stochastic Gradient.
CoRR, 2019
A Blackboard Sharing Mechanism for Community Cyber Threat Intelligence Based on Multi-Agent System.
Proceedings of the Machine Learning for Cyber Security - Second International Conference, 2019
2018
Non-Convex Min-Max Optimization: Provable Algorithms and Applications in Machine Learning.
CoRR, 2018
BMC Bioinform., 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
Stochastic Non-convex Optimization with Strong High Probability Second-order Convergence.
CoRR, 2017
ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Adaptive Accelerated Gradient Converging Method under H\"{o}lderian Error Bound Condition.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017