Yuxing Liu

Orcid: 0009-0008-7020-1621

According to our database1, Yuxing Liu authored at least 34 papers between 2010 and 2026.

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Timeline

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Bibliography

2026
Optimizer-Model Consistency: Full Finetuning with the Same Optimizer as Pretraining Forgets Less.
CoRR, May, 2026

StoSignSGD: Unbiased Structural Stochasticity Fixes SignSGD for Training Large Language Models.
CoRR, April, 2026

PEARL: Personalized Streaming Video Understanding Model.
CoRR, March, 2026

Generative data-engine foundation model for universal few-shot 2D vascular image segmentation.
Medical Image Anal., 2026

A memristive hopfield neural network under electromagnetic radiation and its application in chaos-DNA image encryption.
Expert Syst. Appl., 2026

2025
Thinking on Maps: How Foundation Model Agents Explore, Remember, and Reason Map Environments.
CoRR, December, 2025

ClimaOoD: Improving Anomaly Segmentation via Physically Realistic Synthetic Data.
CoRR, December, 2025

Unbiased Gradient Low-Rank Projection.
CoRR, October, 2025

Theoretical Analysis on how Learning Rate Warmup Accelerates Convergence.
CoRR, September, 2025

OoDDINO:A Multi-level Framework for Anomaly Segmentation on Complex Road Scenes.
CoRR, July, 2025

ASGO: Adaptive Structured Gradient Optimization.
CoRR, March, 2025

An Empirical Study of Fault Localization on Novice Programs and Addressing the Tie Problem.
Int. J. Softw. Eng. Knowl. Eng., January, 2025

Mamba with multi-frequency perception for image super-resolution.
Knowl. Based Syst., 2025

ASGO: Adaptive Structured Gradient Optimization.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

OoDDINO: A Multi-level Framework for Anomaly Segmentation on Complex Road Scenes.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

AdaGrad under Anisotropic Smoothness.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Data Annotation Crowdsourcing Matching Optimization Method in Blockchain Environment: Based on Deep Reinforcement Learning.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Oaci: Online Adaptive Collaborative Inference Among Edge Devices Under Resource-Constrained Conditions.
Proceedings of the IEEE International Conference on Communications, 2025

2024
Large Batch Analysis for Adagrad Under Anisotropic Smoothness.
CoRR, 2024

Using $\mu \text{Bert}$ to Improve Mutation-Based Fault Localization for Novice Programs.
Proceedings of the 24th IEEE International Conference on Software Quality, 2024

MN-Net: Multi-Scale Feature Fusion and Neighborhood Attention Self-Supervised Network for Industrial Spool Surface Anomaly Detection.
Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

On the Complexity of Finite-Sum Smooth Optimization under the Polyak-Łojasiewicz Condition.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

An Empirical Study of Fault Localization on Novice Programs.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023
Environmental Sound Classification Based on Attention Feature Fusion and Improved Residual Network.
Autom. Control. Comput. Sci., August, 2023

2022
Model Predictive Control for Automotive Climate Control Systems via Value Function Approximation.
IEEE Control. Syst. Lett., 2022

2020
Distributed Energy and Thermal Management of a 48-V Diesel Mild Hybrid Electric Vehicle With Electrically Heated Catalyst.
IEEE Trans. Control. Syst. Technol., 2020

Energy Management of Hybrid Electric Vehicles via Deep Q-Networks.
Proceedings of the 2020 American Control Conference, 2020

2018
Distributed Model Predictive Control of an Electrically Boosted Diesel Engine Air Path System.
Proceedings of the 2018 Annual American Control Conference, 2018

2016

Control of a two-stage turbocharged diesel engine air path system for mode transition via feedback linearization.
Proceedings of the 2016 American Control Conference, 2016

2015
Model Predictive Control of a two-stage turbocharged Diesel engine air-path system for rapid catalyst warm-up.
Proceedings of the 14th European Control Conference, 2015

2010
The 3-Connected Graphs with Exactly <i>k</i> Non-Essential Edges.
Graphs Comb., 2010


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