Fan Zhou

Orcid: 0000-0003-1736-2641

Affiliations:
  • Beihang University, Beijing, China
  • Université Laval, Québec, Canada (former)


According to our database1, Fan Zhou authored at least 35 papers between 2019 and 2025.

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

Timeline

2019
2020
2021
2022
2023
2024
2025
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Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2025
A Multi-Condition Sequential Network Ensemble for Industrial Energy Storage Prediction Considering the Condition Switching Characteristics.
IEEE CAA J. Autom. Sinica, February, 2025

Enhancing road surface recognition via optimal transport and metric learning in task-agnostic intelligent driving environments.
Expert Syst. Appl., 2025

2024
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning.
IEEE Trans. Knowl. Data Eng., November, 2024

Active Fault Diagnosis Based on Dual-Observer for Leakage Detection and Estimation With Adaptive Auxiliary Signal Mechanism in Industrial Gas Networks.
IEEE Trans. Instrum. Meas., 2024

Real-Time Vehicle Operating System Analysis, Construction and Testing.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

Domain Adaptation for Semantic Segmentation of Autonomous Driving with Contrastive Learning.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

Task Scheduling Algorithms for Energy Optimization Under Scheduling Duration and Reliability Constraints.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

Design of a Communication Framework for Heterogeneous Multicore Systems in CAN Communication.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

A Review of Internet of Vehicle Technology in Intelligent Connected Vehicle.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

Generalizing across Temporal Domains with Koopman Operators.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Towards More General Loss and Setting in Unsupervised Domain Adaptation.
IEEE Trans. Knowl. Data Eng., October, 2023

Episodic task agnostic contrastive training for multi-task learning.
Neural Networks, May, 2023

On the Benefits of Two Dimensional Metric Learning.
IEEE Trans. Knowl. Data Eng., 2023

On the value of label and semantic information in domain generalization.
Neural Networks, 2023

Gap Minimization for Knowledge Sharing and Transfer.
J. Mach. Learn. Res., 2023

Hessian Aware Low-Rank Weight Perturbation for Continual Learning.
CoRR, 2023

Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-Stationary Environments.
CoRR, 2023

Domain Adaptive Road Perception Network of Autonomous Vehicles.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

An Efficient Driver Anomaly State Detection Approach Based on End-Cloud Integration and Unsupervised Learning.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

MEC-Enabled Lane Change Prediction with Spatiotemporal Attention Mechanism for ITS.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A novel domain adaptation theory with Jensen-Shannon divergence.
Knowl. Based Syst., 2022

A probabilistic multi-criteria evaluation framework for integrated energy system planning.
Inf. Sci., 2022

Evolving Domain Generalization.
CoRR, 2022

Gap Minimization for Knowledge Sharing and Transfer.
CoRR, 2022

2021
Task Similarity Estimation Through Adversarial Multitask Neural Network.
IEEE Trans. Neural Networks Learn. Syst., 2021

Discriminative active learning for domain adaptation.
Knowl. Based Syst., 2021

Domain generalization via optimal transport with metric similarity learning.
Neurocomputing, 2021

Multi-task Learning by Leveraging the Semantic Information.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Beyond H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence.
CoRR, 2020

Domain Generalization with Optimal Transport and Metric Learning.
CoRR, 2020

Discriminative Active Learning for Domain Adaptation.
CoRR, 2020

Episodic Training for Domain Generalization Using Latent Domains.
Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020

Deep Active Learning: Unified and Principled Method for Query and Training.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
A Spark-Based Approach for High-Efficiency Embedded Feature Selection.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019


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