xianfeng yuan (0000-0002-6217-6429)

Personal information

Biography

Dr. Xianfeng Yuan is an Associate Professor in the School of Mechanical, Electrical and Information Engineering, Shandong University. He received the B.Eng degree in Automation from Shandong University, China, in 2011, and the Ph.D. degree from the School of Control Science and Engineering, Shandong University, China, in 2017. From 2016 to 2017, he was a Visiting Ph.D. Student in ASCC Lab with Oklahoma State University, Stillwater, OK, USA.

The research focus of Xianfeng is on intelligent robotics, embodied intelligence, SLAM, and intelligent fault diagnosis.

Welcome to contact me :-)
Email: yuanxianfeng@sdu.edu.cn
Wechat: ①⑤②⑥③①②①⑥⑧⑧

Activities

Collapse all

Shandong University: Weihai, Shandong, CN

Associate Professor

Employment

xianfeng yuan

https://orcid.org/0000-0002-6217-6429

Personal information

Emails & domains

Verified email addresses

Biography

Activities

Employment (1)

Shandong University: Weihai, Shandong, CN

Education and qualifications (1)

Shandong University: Jinan, Shandong, CN

Works (32)

ATGCN: An Adaptive Temporal-Topological Graph Convolution Network With Nodal Attention for Robot Fault Diagnosis

Goal-Conditioned Reinforcement Learning With Adaptive Intrinsic Curiosity and Universal Value Network Fitting for Robotic Manipulation

Towards Multi-modal Graph Sequence Generation: A Denoising Diffusion Approach for Wheeled Robot Fault Diagnosis

MGTN-DSI: A multi-sensor graph transfer network considering dual structural information for fault diagnosis under varying working conditions

Protecting the interests of owners of intelligent fault diagnosis models: A style relationship-preserving privacy protection method

Towards dual-perspective alignment: A novel hierarchical selective adversarial network for transfer fault diagnosis

Bidirectional Local–Global Interaction-Guided GAN With Discriminator Gradient Gap Regularization for Bearing Fault Diagnosis With Unbalanced Datasets

A Novel Data Augmentation Method Based on Denoising Diffusion Probabilistic Model for Fault Diagnosis Under Imbalanced Data

A Semi-Supervised Intelligent Fault Diagnosis Method for Bearings Under Low Labeled Rates

PSNN-TADA: Prototype and Stochastic Neural Network-Based Twice Adversarial Domain Adaptation for Fault Diagnosis Under Varying Working Conditions

HOGN-TVGN: Human-inspired Embodied Object Goal Navigation based on Time-varying Knowledge Graph Inference Networks for Robots

Manifold assistant multi-modal multi-objective differential evolution algorithm and its application in actual rolling bearing fault diagnosis

Accurate and Efficient 3D Panoptic Mapping Using Diverse Information Modalities and Multidimensional Data Association

RP-SG: Relation Prediction in 3D Scene Graphs for Unobserved Objects Localization

Cross-Layer Alignment Network With Norm Constraints for Fault Diagnosis Under Varying Working Conditions

DGM-VINS: Visual–Inertial SLAM for Complex Dynamic Environments With Joint Geometry Feature Extraction and Multiple Object Tracking

Fault Diagnosis for Mobile Robots Based on Spatial–Temporal Graph Attention Network Under Imbalanced Data

Robust Visual-Inertial Odometry Based on a Kalman Filter and Factor Graph

Fault Diagnosis of Wheeled Robot Based on Prior Knowledge and Spatial-Temporal Difference Graph Convolutional Network

Full Attention Wasserstein GAN With Gradient Normalization for Fault Diagnosis Under Imbalanced Data

Multi-heterogeneous sensor data fusion method via convolutional neural network for fault diagnosis of wheeled mobile robot

Hybrid particle swarm optimizer with fitness-distance balance and individual self-exploitation strategies for numerical optimization problems

Improving Model-Based Deep Reinforcement Learning with Learning Degree Networks and Its Application in Robot Control

Self-supervised learning of LiDAR odometry based on spherical projection

Multi-Scale Capsule Attention Network and Joint Distributed Optimal Transport for Bearing Fault Diagnosis under Different Working Loads

Random mask-based estimation of the distribution algorithm for stacked auto-encoder one-step pre-training

Scene image and human skeleton-based dual-stream human action recognition

Grey wolf optimizer with an enhanced hierarchy and its application to the wireless sensor network coverage optimization problem

Hybrid particle swarm optimization with spiral-shaped mechanism for feature selection

A high precision visual localization sensor and its working methodology for an indoor mobile robot

A Novel Mittag-Leffler Kernel Based Hybrid Fault Diagnosis Method for Wheeled Robot Driving System

Fault diagnosis of service robot based on multi-PCA models and SVM-DS fusion decision