Zhe Bai

Orcid: 0000-0002-3092-0903

According to our database1, Zhe Bai authored at least 28 papers between 1993 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Predicting Wave Reflection and Transmission in Heterogeneous Media via Fourier Operator-Based Transformer Modeling.
CoRR, April, 2026

StFT: Spatio-temporal Fourier Transformer for Long-term Dynamics Prediction.
Trans. Mach. Learn. Res., 2026

Robust resource allocation for intelligent edge services under demand and supply uncertainties.
Reliab. Eng. Syst. Saf., 2026

2025
Fiats: Functional inference and training for surrogates.
J. Open Source Softw., December, 2025

Spatio-temporal Fourier Transformer (StFT) for Long-term Dynamics Prediction.
CoRR, March, 2025

Transfer learning nonlinear plasma dynamic transitions in low dimensional embeddings via deep neural networks.
Mach. Learn. Sci. Technol., 2025

Fuzzy serial-parallel stochastic configuration networks based on nonconvex dynamic membership function optimization.
Inf. Sci., 2025

Prediction of the fracture energy properties of concrete using COOA-RBF neural network.
Int. J. Crit. Infrastructures, 2025

Automatically Parallelizing Batch Inference on Deep Neural Networks Using Fiats and Fortran 2023 "Do Concurrent".
Proceedings of the High Performance Computing, 2025

DSL-SGD: Distributed Local Stochastic Gradient Descent with Delayed Synchronization.
Proceedings of the Advanced Parallel Processing Technologies, 2025

2024
A Lightweight Remote Sensing Aircraft Object Detection Network Based on Improved YOLOv5n.
Remote. Sens., March, 2024

Using radial basis function for estimating the high-performance concrete compressive strength with optimizing AVOA and SSA.
J. Intell. Fuzzy Syst., March, 2024

AutoCT: Automated CT registration, segmentation, and quantification.
SoftwareX, 2024

FTL: Transfer Learning Nonlinear Plasma Dynamic Transitions in Low Dimensional Embeddings via Deep Neural Networks.
CoRR, 2024

TinyCompNet: Minimal Computational Load for Mobile Devices.
Proceedings of the 8th IEEE International Conference on Vision, 2024

Enhancing Gradient Compression for Distributed Deep Learning.
Proceedings of the 8th Asia-Pacific Workshop on Networking, 2024

2022
Adaptable Deep Learning and Probabilistic Graphical Model System for Semantic Segmentation.
Adv. Artif. Intell. Mach. Learn., 2022

Downtime Distribution, Risk Volatility, and Optimal Backup VMs Allocation in Cloud Services.
Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

2021
Non-intrusive nonlinear model reduction via machine learning approximations to low-dimensional operators.
Adv. Model. Simul. Eng. Sci., 2021

2019
LW-Sketch-Net on Mobile Phones.
EAI Endorsed Trans. Creative Technol., 2019

Randomized methods to characterize large-scale vortical flow network.
CoRR, 2019

Lightweight Neural Network for Sketch Recognition on Mobile Phones.
Proceedings of the Science and Technologies for Smart Cities, 2019

Sketch Based Image Retrieval with Adversarial Network.
Proceedings of the ICVIP 2019: The 3rd International Conference on Video and Image Processing, 2019

2017
Dynamic mode decomposition for compressive system identification.
CoRR, 2017

2014
Safety applications modeling methodology and performance optimization in road vehicle communication.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

Performance evaluation of IEEE 802.11p vehicle to infrastructure communication using off-the-shelf IEEE 802.11a hardware.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

1994
An algorithm for optimal load balancing in a multiple GI/G/1 queueing system.
Eur. Trans. Telecommun., 1994

1993
Geschlossene Optimierung symmetrischer Referenznetze mit nichthierarchischer Verkehrslenkung.
Proceedings of the Messung, 1993


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