Yiming Shao

Orcid: 0009-0000-3934-3893

According to our database1, Yiming Shao authored at least 24 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Improving distantly supervised named entity recognition by emphasizing uncertain examples.
Pattern Anal. Appl., March, 2025

What can knowledge graph do for few-shot named entity recognition.
J. Web Semant., 2025

Topology-aware GPU job scheduling with deep reinforcement learning and heuristics.
J. Parallel Distributed Comput., 2025

2024 IEEE Scientific Visualization Contest Winner: PlumeViz: Interactive Exploration for Multifacet Features of Hydrothermal Plumes in Sonar Images.
IEEE Computer Graphics and Applications, 2025

An inverted depth-wise and detail-enhanced network for real-time semantic segmentation.
Comput. Electr. Eng., 2025

2024
Hematoma expansion prediction based on SMOTE and XGBoost algorithm.
BMC Medical Informatics Decis. Mak., December, 2024

IDBNet: Improved differentiable binarisation network for natural scene text detection.
IET Comput. Vis., March, 2024

H2GCN: A hybrid hypergraph convolution network for skeleton-based action recognition.
J. King Saud Univ. Comput. Inf. Sci., 2024

A Comprehensive Investigation to Identify Prognostic mRNA and miRNA Signatures for Renal Cell Carcinoma Utilizing a Stratification-Based Approach.
Big Data Min. Anal., 2024

Zero-Shot Low-Light-Level Image Enhancement Algorithm Based on Atmospheric Scattering Model.
Proceedings of the 5th International Conference on Machine Learning and Computer Application, 2024

Know-Adapter: Towards Knowledge-Aware Parameter-Efficient Transfer Learning for Few-shot Named Entity Recognition.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

GPU Job Scheduler with Deep Reinforcement Learning.
Proceedings of the 37th Canadian Conference on Artificial Intelligence, 2024

2023
TAMG: Topology-Aware Multi-GPU Allocation via Deep Reinforcement Learning.
Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, 2023

2022
Adaptive output feedback control of large-scale nonlinear time-delay systems with uncertain output equations.
J. Frankl. Inst., 2022

Global decentralized control for uncertain large-scale feedforward nonlinear time-delay systems via output feedback.
IMA J. Math. Control. Inf., 2022

2021
Robust Stabilization for Uncertain Nonlinear Systems Subject to Feedforward Growth Constraint.
IEEE Access, 2021

2020
A Vehicle Trajectory Tracking Method With a Time-Varying Model Based on the Model Predictive Control.
IEEE Access, 2020

2019
A LBS Method for Student Behavior Based on Hybrid Positioning by using big data Analyzation.
Proceedings of the 6th International Conference on Systems and Informatics, 2019

2018
Modeling drivers' speed choice on roads with complex shapes based on the curvature of the preview trajectory.
Simul., 2018

Intelligent Method for Identifying Driving Risk Based on V2V Multisource Big Data.
Complex., 2018

Visual Search Efficiency Evaluation Method for Potential Connected Vehicles on Sharp Curves.
IEEE Access, 2018

2016
Modeling typical driving patterns in target trajectory decisions for vehicles traversing roads with complex shapes.
Simul., 2016

Developing an Economic Estimation System for Vertical Farms.
Int. J. Agric. Environ. Inf. Syst., 2016

2014
CorMut: an R/Bioconductor package for computing correlated mutations based on selection pressure.
Bioinform., 2014


  Loading...