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Yuantao Fan
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2020 – today
- 2024
- [c13]Yuantao Fan, Xinyu Tu, Ruifan Li:
An Inverse Retrieval Method via Query Generation for Xiaohongshu's Search Engine. ICIC (LNAI 5) 2024: 362-373 - [i6]Ka Man Lo, Yiming Liang, Wenyu Du, Yuantao Fan, Zili Wang, Wenhao Huang, Lei Ma, Jie Fu:
m2mKD: Module-to-Module Knowledge Distillation for Modular Transformers. CoRR abs/2402.16918 (2024) - 2023
- [c12]Dongjie Yang, Ruifeng Yuan, Yuantao Fan, Yifei Yang, Zili Wang, Shusen Wang, Hai Zhao:
RefGPT: Dialogue Generation of GPT, by GPT, and for GPT. EMNLP (Findings) 2023: 2511-2535 - [i5]Dongjie Yang, Ruifeng Yuan, Yuantao Fan, Yifei Yang, Zili Wang, Shusen Wang, Hai Zhao:
RefGPT: Reference -> Truthful & Customized Dialogues Generation by GPTs and for GPTs. CoRR abs/2305.14994 (2023) - [i4]Sepideh Pashami, Slawomir Nowaczyk, Yuantao Fan, Jakub Jakubowski, Nuno Paiva, Narjes Davari, Szymon Bobek, Samaneh Jamshidi, Hamid Sarmadi, Abdallah Alabdallah, Rita P. Ribeiro, Bruno Veloso, Moamar Sayed Mouchaweh, Lala H. Rajaoarisoa, Grzegorz J. Nalepa, João Gama:
Explainable Predictive Maintenance. CoRR abs/2306.05120 (2023) - [i3]Yuantao Fan, Zhenkan Wang, Sepideh Pashami, Slawomir Nowaczyk
, Henrik Ydreskog:
Forecasting Auxiliary Energy Consumption for Electric Heavy-Duty Vehicles. CoRR abs/2311.16003 (2023) - 2022
- [c11]Narjes Davari, Sepideh Pashami, Bruno Veloso
, Slawomir Nowaczyk
, Yuantao Fan, Pedro Mota Pereira, Rita P. Ribeiro
, João Gama:
A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set. IDA 2022: 39-52 - [c10]Yuantao Fan
, Hamid Sarmadi
, Slawomir Nowaczyk
:
Incorporating Physics-Based Models into Data Driven Approaches for Air Leak Detection in City Buses. PKDD/ECML Workshops (2) 2022: 438-450 - 2021
- [c9]Mohammed Ghaith Altarabichi, Yuantao Fan, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk
:
Extracting Invariant Features for Predicting State of Health of Batteries in Hybrid Energy Buses. DSAA 2021: 1-6 - 2020
- [b1]Yuantao Fan:
Wisdom of the Crowd for Fault Detection and Prognosis. Halmstad University, Sweden, 2020 - [j1]Yuantao Fan, Slawomir Nowaczyk
, Thorsteinn S. Rögnvaldsson
:
Transfer learning for remaining useful life prediction based on consensus self-organizing models. Reliab. Eng. Syst. Saf. 203: 107098 (2020)
2010 – 2019
- 2019
- [c8]Kunru Chen, Sepideh Pashami, Yuantao Fan, Slawomir Nowaczyk
:
Predicting Air Compressor Failures Using Long Short Term Memory Networks. EPIA (1) 2019: 596-609 - [c7]Ece Calikus, Yuantao Fan, Slawomir Nowaczyk
, Anita Pinheiro Sant'Anna:
Interactive-COSMO: Consensus Self-Organized Models for Fault Detection with Expert Feedback. IDM@WSDM 2019: 5:1-5:9 - [i2]Yuantao Fan, Slawomir Nowaczyk
, Thorsteinn S. Rögnvaldsson:
Transfer learning for Remaining Useful Life Prediction Based on Consensus Self-Organizing Models. CoRR abs/1909.07053 (2019) - 2018
- [c6]Slawomir Nowaczyk
, Anita Pinheiro Sant'Anna, Ece Calikus
, Yuantao Fan:
Monitoring Equipment Operation Through Model and Event Discovery. IDEAL (2) 2018: 41-53 - [c5]Martin Cooney, Sepideh Pashami, Anita Pinheiro Sant'Anna, Yuantao Fan, Slawomir Nowaczyk
:
Pitfalls of Affective Computing: How can the automatic visual communication of emotions lead to harm, and what can be done to mitigate such risks. WWW (Companion Volume) 2018: 1563-1566 - 2017
- [i1]Martin Cooney, Sepideh Pashami, Yuantao Fan, Anita Pinheiro Sant'Anna, Yinrong Ma, Tianyi Zhang, Yuwei Zhao, Wolfgang Hotze, Jeremy Heyne, Cristofer Englund, Achim J. Lilienthal, Tom Ziemke:
Exploring home robot capabilities by medium fidelity prototyping. CoRR abs/1710.01541 (2017) - 2016
- [c4]Xudong Teng, Yuantao Fan, Slawomir Nowaczyk
:
Evaluation of micro-flaws in metallic material based on a self-organized data-driven approach. ICPHM 2016: 1-5 - [c3]Yuantao Fan, Maytheewat Aramrattana, Saeed Gholami Shahbandi, Hassan Mashad Nemati, Björn Åstrand:
Infrastructure Mapping in Well-Structured Environments Using MAV. TAROS 2016: 116-126 - 2015
- [c2]Yuantao Fan, Slawomir Nowaczyk
, Thorsteinn S. Rögnvaldsson
:
Evaluation of Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet. INNS Conference on Big Data 2015: 447-456 - [c1]Yuantao Fan, Slawomir Nowaczyk
, Thorsteinn S. Rögnvaldsson
:
Incorporating Expert Knowledge into a Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet. SCAI 2015: 58-67
Coauthor Index
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last updated on 2024-08-10 00:30 CEST by the dblp team
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