Yuantao Fan

Orcid: 0009-0005-2946-8736

According to our database1, Yuantao Fan authored at least 22 papers between 2015 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
m2mKD: Module-to-Module Knowledge Distillation for Modular Transformers.
CoRR, 2024

An Inverse Retrieval Method via Query Generation for Xiaohongshu's Search Engine.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Evaluating Multi-task Curriculum Learning for Forecasting Energy Consumption in Electric Heavy-duty Vehicles.
Proceedings of Workshop on Embracing Human-Aware AI in Industry 5.0 (HAII5.0 2024) co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

Invariant Feature Selection for Battery State of Health Estimation in Heterogeneous Hybrid Electric Bus Fleets.
Proceedings of Workshop on Embracing Human-Aware AI in Industry 5.0 (HAII5.0 2024) co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

2023
Forecasting Auxiliary Energy Consumption for Electric Heavy-Duty Vehicles.
CoRR, 2023

Explainable Predictive Maintenance.
CoRR, 2023

RefGPT: Reference -> Truthful & Customized Dialogues Generation by GPTs and for GPTs.
CoRR, 2023

RefGPT: Dialogue Generation of GPT, by GPT, and for GPT.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Incorporating Physics-Based Models into Data Driven Approaches for Air Leak Detection in City Buses.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set.
Proceedings of the Advances in Intelligent Data Analysis XX, 2022

2021
Extracting Invariant Features for Predicting State of Health of Batteries in Hybrid Energy Buses.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020
Wisdom of the Crowd for Fault Detection and Prognosis.
PhD thesis, 2020

Transfer learning for remaining useful life prediction based on consensus self-organizing models.
Reliab. Eng. Syst. Saf., 2020

2019
Interactive-COSMO: Consensus Self-Organized Models for Fault Detection with Expert Feedback.
Proceedings of the Workshop on Interactive Data Mining, 2019

Predicting Air Compressor Failures Using Long Short Term Memory Networks.
Proceedings of the Progress in Artificial Intelligence, 2019

2018
Pitfalls of Affective Computing: How can the automatic visual communication of emotions lead to harm, and what can be done to mitigate such risks.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Monitoring Equipment Operation Through Model and Event Discovery.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

2017
Exploring home robot capabilities by medium fidelity prototyping.
CoRR, 2017

2016
Infrastructure Mapping in Well-Structured Environments Using MAV.
Proceedings of the Towards Autonomous Robotic Systems - 17th Annual Conference, 2016

Evaluation of micro-flaws in metallic material based on a self-organized data-driven approach.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2016

2015
Incorporating Expert Knowledge into a Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet.
Proceedings of the Thirteenth Scandinavian Conference on Artificial Intelligence, 2015

Evaluation of Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet.
Proceedings of the INNS Conference on Big Data 2015, 2015


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