Haoxuan Zhou

Orcid: 0000-0002-8294-3912

According to our database1, Haoxuan Zhou authored at least 13 papers between 2021 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
SoulSeek: Exploring the Use of Social Cues in LLM-based Information Seeking.
CoRR, January, 2026

SparkTales: Facilitating Cross-Language Collaborative Storytelling through Coordinator-AI Collaboration.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025
Koopman-Informed Neural Network for Machinery's Nonlinear Dynamics Learning and Remaining Useful Life Prediction.
IEEE Trans. Instrum. Meas., 2025

Unsupervised anomaly detection of machines operating under time-varying conditions: DCD-VAE enabled feature disentanglement of operating conditions and states.
Reliab. Eng. Syst. Saf., 2025

2024
Bearing performance degradation assessment using adversarial fusion convolutional autoencoder based on multi-source information.
Trans. Inst. Meas. Control, 2024

2023
Hybrid system response model for condition monitoring of bearings under time-varying operating conditions.
Reliab. Eng. Syst. Saf., November, 2023

Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Towards a Generic Framework for Mechanism-guided Deep Learning for Manufacturing Applications.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
A Multisource Dense Adaptation Adversarial Network for Fault Diagnosis of Machinery.
IEEE Trans. Ind. Electron., 2022

Construction of health indicators for condition monitoring of rotating machinery: A review of the research.
Expert Syst. Appl., 2022

2021
An Intelligent Fault Diagnosis Method Based on Domain Adaptation and Its Application for Bearings Under Polytropic Working Conditions.
IEEE Trans. Instrum. Meas., 2021

Memory Residual Regression Autoencoder for Bearing Fault Detection.
IEEE Trans. Instrum. Meas., 2021

Application of PSO-LSTM for Forecasting of Ship Traffic Flow.
Proceedings of the 2021 International Conference on Security, 2021


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