Yulai Zhang

Orcid: 0000-0003-2950-8206

According to our database1, Yulai Zhang authored at least 32 papers between 2010 and 2024.

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Bibliography

2024
Defending Against Backdoor Attacks by Quarantine Training.
IEEE Access, 2024

2023
THCANet: Two-layer hop cascaded asymptotic network for robot-driving road-scene semantic segmentation in RGB-D images.
Digit. Signal Process., May, 2023

Design and Optimization of a Miniature Locust-Inspired Stable Jumping Robot.
IEEE Robotics Autom. Lett., 2023

A Knowledge Graph Recommendation Approach Incorporating Contrastive and Relationship Learning.
IEEE Access, 2023

2022
Image Classification Method Based on Multi-Agent Reinforcement Learning for Defects Detection for Casting.
Sensors, 2022

A Small-Scale, Rat-Inspired Whisker Sensor for the Perception of a Biomimetic Robot: Design, Fabrication, Modeling, and Experimental Characterization.
IEEE Robotics Autom. Mag., 2022

Bayesian Network Structure Learning Method Based on Causal Direction Graph for Protein Signaling Networks.
Entropy, 2022

2021
Parallel ensemble methods for causal direction inference.
J. Parallel Distributed Comput., 2021

Hyper-parameter optimization based on soft actor critic and hierarchical mixture regularization.
CoRR, 2021

A New Hyper-Parameter Optimization Method for Power Load Forecast Based on Recurrent Neural Networks.
Algorithms, 2021

Nested Causality Extraction on Traffic Accident Texts as Question Answering.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Bayesian Optimization with Particle Swarm.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
The Temperature Prediction of Permanent Magnet Synchronous Machines Based on Proximal Policy Optimization.
Inf., 2020

SiameseCCR: a novel method for one-shot and few-shot Chinese CAPTCHA recognition using deep Siamese network.
IET Image Process., 2020

A new optimization algorithm for non-stationary time series prediction based on recurrent neural networks.
Future Gener. Comput. Syst., 2020

Hyper parameter estimation method with particle swarm optimization.
CoRR, 2020

Parallel ensemble methods for causal direction inference.
CoRR, 2020

2018
Causal direction inference for air pollutants data.
Comput. Electr. Eng., 2018

Research on Usage Prediction Methods for O2O Coupons.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Recursive prediction algorithm for non-stationary Gaussian Process.
J. Syst. Softw., 2017

Inferring causal directions from uncertain data.
Eng. Appl. Artif. Intell., 2017

2015
Short term power load prediction with knowledge transfer.
Inf. Syst., 2015

Attacker and Defender Counting Approach for Abstract Argumentation.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
Argument Ranking with Categoriser Function.
Proceedings of the Knowledge Science, Engineering and Management, 2014

Inferring Causal Directions in Errors-in-Variables Models.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Fast Algorithm for Non-Stationary Gaussian Process Prediction.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Computing Preferences Based on Agents' Beliefs.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Convergence Analysis of EFOP Estimate Based on Frequency Domain Smoothing.
J. Appl. Math., 2013

Social Welfare Semantics for Value-Based Argumentation Framework.
Proceedings of the Knowledge Science, Engineering and Management, 2013

An Entropy Based Method for Causal Discovery in Linear Acyclic Model.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012
Response Surface Modeling by Local Kernel Partial Least Squares.
Proceedings of the Fifth International Symposium on Parallel Architectures, 2012

2010
Adaptive Signal Processing for ARX System Disturbed by Complex Noise.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2010


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