activity
20142024
most citedA Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives

7 citations · 16 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG20241 cited

Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction

Pingping Dong, Xiao-Lin Wang, Indranil Bose +3

Accurate and reliable prediction has profound implications to a wide range of applications. In this study, we focus on an instance of spatio-temporal learning problem--traffic pred…

eess.SP20242 cited

Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noise

Jing-Xiao Liao, Chao He, Jipu Li +3

Blind deconvolution (BD) has been demonstrated as an efficacious approach for extracting bearing fault-specific features from vibration signals under strong background noise. Despi…

eess.SP20235 cited

A class-weighted supervised contrastive learning long-tailed bearing fault diagnosis approach using quadratic neural network

Wei-En Yu, Jinwei Sun, Shiping Zhang +2

Deep learning has achieved remarkable success in bearing fault diagnosis. However, its performance oftentimes deteriorates when dealing with highly imbalanced or long-tailed data,…

cs.LG20231 cited

BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA Acceleration

Jing-Xiao Liao, Sheng-Lai Wei, Chen-Long Xie +5

Deep learning has achieved remarkable success in the field of bearing fault diagnosis. However, this success comes with larger models and more complex computations, which cannot be…

cs.LG20227 cited

A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives

Adam Thelen, Xiaoge Zhang, Olga Fink +7

As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented attention because of its promise to further optimize process design, quality control, he…

cs.AI2014

A bio-inspired algorithm for fuzzy user equilibrium problem by aid of Physarum Polycephalum

Yang Liu, Xiaoge Zhang, Yong Deng

The user equilibrium in traffic assignment problem is based on the fact that travelers choose the minimum-cost path between every origin-destination pair and on the assumption that…