Taotao Zhou

Orcid: 0000-0002-2881-4781

According to our database1, Taotao Zhou authored at least 27 papers between 2017 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Critical Review and Benchmark Study of Dependency Modeling for Seismic Probabilistic Risk Assessment in the Nuclear Power Industry.
Reliab. Eng. Syst. Saf., 2024

Sophia-in-Audition: Virtual Production with a Robot Performer.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023
Monitoring of Single-Track Melting States Based on Photodiode Signal during Laser Powder Bed Fusion.
Sensors, December, 2023

Bo-LSTM based cross-sectional profile sequence progressive prediction method for metal tube rotate draw bending.
Adv. Eng. Informatics, October, 2023

Free-view Face Relighting Using a Hybrid Parametric Neural Model on a SMALL-OLAT Dataset.
Int. J. Comput. Vis., April, 2023

An uncertainty-informed framework for trustworthy fault diagnosis in safety-critical applications.
Reliab. Eng. Syst. Saf., 2023

A generic physics-informed neural network-based framework for reliability assessment of multi-state systems.
Reliab. Eng. Syst. Saf., 2023

Exploring the Spatiotemporal Features of Online Food Recommendation Service.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering Service.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Relightable Neural Human Assets from Multi-view Gradient Illuminations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-Granularity Attention Model for Group Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework.
Reliab. Eng. Syst. Saf., 2022

Digital-twin-enhanced metal tube bending forming real-time prediction method based on Multi-source-input MTL.
CoRR, 2022

Physics-informed deep learning: A promising technique for system reliability assessment.
Appl. Soft Comput., 2022

Spatiotemporal-Enhanced Network for Click-Through Rate Prediction in Location-based Services.
Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

2021
Multi-unit nuclear power plant probabilistic risk assessment: A comprehensive survey.
Reliab. Eng. Syst. Saf., 2021

An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications.
CoRR, 2021

Relightable Neural Video Portrait.
CoRR, 2021

Deep Convolutional Neural Network Using Transfer Learning for Fault Diagnosis.
IEEE Access, 2021

2020
A common cause failure model for components under age-related degradation.
Reliab. Eng. Syst. Saf., 2020

Defect Diagnosis of Disconnector Based on Wireless Communication and Support Vector Machine.
IEEE Access, 2020

An Overview of the EMUs Maintenance Scheduling in China.
Proceedings of the 20th IEEE International Conference on Software Quality, 2020

2019
Multi-unit risk aggregation with consideration of uncertainty and bias in risk metrics.
Reliab. Eng. Syst. Saf., 2019

Process parameter optimization for laser-magnetic welding based on a sample-sorted support vector regression.
J. Intell. Manuf., 2019

Calculation of Hot Spot Temperature of Transformer Bushing Considering Current Fluctuation.
IEEE Access, 2019

2018
An improved multi-unit nuclear plant seismic probabilistic risk assessment approach.
Reliab. Eng. Syst. Saf., 2018

2017
Advances in multi-unit nuclear power plant probabilistic risk assessment.
Reliab. Eng. Syst. Saf., 2017


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