Mingrui Liu

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

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Bibliography

2026
Generative Conversational Recommender System.
CoRR, May, 2026

CURE-OOD: Benchmarking Out-of-Distribution Detection for Survival Prediction.
CoRR, May, 2026

Bilevel Optimization with Lower-Level Uniform Convexity: Theory and Algorithm.
CoRR, March, 2026

Tight Bounds for Logistic Regression with Large Stepsize Gradient Descent in Low Dimension.
CoRR, February, 2026

Modality-Inconsistent Continual Learning of Multimodal Large Language Models.
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

An Exploration of Non-Euclidean Gradient Descent: Muon and its Many Variants.
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

Why and How Auxiliary Tasks Improve JEPA Representations.
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

ROEVO: Robust Organized Edge Feature-Based Visual Odometry Using RGB-D Cameras.
IEEE Trans. Robotics, 2025

Constant Stepsize Local GD for Logistic Regression: Acceleration by Instability.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression.
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

Algorithmic Foundation of Federated Learning with Sequential Data.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Stability and Generalization for Minibatch SGD and Local SGD.
CoRR, 2023

AUC Maximization in Imbalanced Lifelong Learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Bilevel Coreset Selection in Continual Learning: A New Formulation and Algorithm.
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

Age Feature Enhanced Neural Network for RUL Estimation of Power Electronic Devices.
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

Infrared video behavior recognition algorithm based on AGX Xavier environment.
Proceedings of the CAA Symposium on Fault Detection, 2023

2022
Quantum Dots-Functionalized Encryption Camera for Text Image Security Protection.
Adv. Intell. Syst., December, 2022

Understanding AdamW through Proximal Methods and Scale-Freeness.
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

Will Bilevel Optimizers Benefit from Loops.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robustness to Unbounded Smoothness of Generalized SignSGD.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fast Composite Optimization and Statistical Recovery in Federated Learning.
Proceedings of the International Conference on Machine Learning, 2022

DSFL: Dynamic Sparsification for Federated Learning.
Proceedings of the 5th International Conference on Communications, 2022

F-Measure Optimization for Multi-class, Imbalanced Emotion Classification Tasks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

On the Initialization for Convex-Concave Min-max Problems.
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

On the Last Iterate Convergence of Momentum Methods.
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

2021
Asynchronous Decentralized Distributed Training of Acoustic Models.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

First-order Convergence Theory for Weakly-Convex-Weakly-Concave Min-max Problems.
J. Mach. Learn. Res., 2021

Loss Landscape Dependent Self-Adjusting Learning Rates in Decentralized Stochastic Gradient Descent.
CoRR, 2021

A Parameter-free Algorithm for Convex-concave Min-max Problems.
CoRR, 2021

Generalization Guarantee of SGD for Pairwise Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Adam<sup>+</sup>: A Stochastic Method with Adaptive Variance Reduction.
CoRR, 2020

The game of Cops and Robbers on directed graphs with forbidden subgraphs.
CoRR, 2020

A Decentralized Parallel Algorithm for Training Generative Adversarial Nets.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improved Schemes for Episodic Memory-based Lifelong Learning.
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

Stochastic AUC Maximization with Deep Neural Networks.
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

Improving Efficiency in Large-Scale Decentralized Distributed Training.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Decentralized Parallel Algorithm for Training Generative Adversarial Nets.
CoRR, 2019

Learning with Long-term Remembering: Following the Lead of Mixed Stochastic Gradient.
CoRR, 2019

The Cop Number of Graphs with Forbidden Induced Subgraphs.
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

IntLIM: integration using linear models of metabolomics and gene expression data.
BMC Bioinform., 2018

Faster Online Learning of Optimal Threshold for Consistent F-measure Optimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Adaptive Negative Curvature Descent with Applications in Non-convex Optimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Fast Stochastic AUC Maximization with O(1/n)-Convergence Rate.
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


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