Kejia Chen | DeepAI

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∙ 07/19/2023

Contact-aware Shaping and Maintenance of Deformable Linear Objects With Fixtures

Studying the manipulation of deformable linear objects has significant p...

0 Kejia Chen, et al. ∙

∙ 06/05/2023

Comparative Study on Semi-supervised Learning Applied for Anomaly Detection in Hydraulic Condition Monitoring System

Condition-based maintenance is becoming increasingly important in hydrau...

0 Yongqi Dong, et al. ∙

∙ 04/18/2023

Safety Guaranteed Manipulation Based on Reinforcement Learning Planner and Model Predictive Control Actor

Deep reinforcement learning (RL) has been endowed with high expectations...

0 Zhenshan Bing, et al. ∙

∙ 03/24/2023

Structural Imbalance Aware Graph Augmentation Learning

Graph machine learning (GML) has made great progress in node classificat...

0 Zulong Liu, et al. ∙

∙ 09/21/2022

Learning from Symmetry: Meta-Reinforcement Learning with Symmetric Data and Language Instructions

Meta-reinforcement learning (meta-RL) is a promising approach that enabl...

0 Xiangtong Yao, et al. ∙

∙ 07/21/2022

Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network

As the central nerve of the intelligent vehicle control system, the in-v...

4 Yongqi Dong, et al. ∙

∙ 02/24/2021

Pre-Training on Dynamic Graph Neural Networks

The pre-training on the graph neural network model can learn the general...

15 Jiajun Zhang, et al. ∙

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