Jie Tan

Orcid: 0000-0003-3603-6147

Affiliations:
  • Chinese Academy of Sciences, Institute of Automation, Beijing, China
  • University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China


According to our database1, Jie Tan authored at least 35 papers between 2011 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Denoising Multiscale Spectral Graph Wavelet Neural Networks for Gas Utilization Ratio Prediction in Blast Furnace.
IEEE Trans. Neural Networks Learn. Syst., June, 2025

Compression and restoration: exploring elasticity in continual test-time adaptation.
Mach. Learn., April, 2025

2024
Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis.
J. Intell. Manuf., October, 2024

Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions.
Reliab. Eng. Syst. Saf., February, 2024

Temporal Double Graph Convolutional Network for CO and CO Prediction in Blast Furnace Gas.
IEEE Trans. Instrum. Meas., 2024

It takes two: Dual Branch Augmentation Module for domain generalization.
Neural Networks, 2024

Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization.
Neural Networks, 2024

CorrDCN: Decomposed Convolutional Network with Seasonal Autocorrelation 2D-Variation Modeling for Time Series Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2024

Category-Augmented Net for Point Cloud Semantic Segmentation.
Proceedings of the 9th International Conference on Control, Robotics and Cybernetics, 2024

ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Exploring Explicitly Disentangled Features for Domain Generalization.
IEEE Trans. Circuits Syst. Video Technol., November, 2023

Time Series Forecasting Model Based on Domain Adaptation and Shared Attention.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023

2022
Generalization on Unseen Domains via Model-Agnostic Learning for Intelligent Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022

Temporal Hypergraph Attention Network for Silicon Content Prediction in Blast Furnace.
IEEE Trans. Instrum. Meas., 2022

Cross-attention-map-based regularization for adversarial domain adaptation.
Neural Networks, 2022

Deep prototypical networks based domain adaptation for fault diagnosis.
J. Intell. Manuf., 2022

ACT: Adversarial Convolutional Transformer for Time Series Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Prediction intervals estimation of solar generation based on gated recurrent unit and kernel density estimation.
Neurocomputing, 2021

2020
A data-driven decision-making optimization approach for inconsistent lithium-ion cell screening.
J. Intell. Manuf., 2020

Uncertainty Quantification of Bearing Remaining Useful Life Based on Convolutional Neural Network.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Probabilistic Prediction of Solar Generation Based on Stacked Autoencoder and Lower Upper Bound Estimation Method.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Unsupervised Situational Assessment for Power Grid Voltage Stability Monitoring Based on Siamese Autoencoder and k-Means Clustering.
Proceedings of the Artificial Intelligence and Security - 6th International Conference, 2020

2019
Integrated modeling of coking flue gas indices based on mechanism model and improved neural network.
Trans. Inst. Meas. Control, 2019

Day-Ahead Hourly Forecasting of Solar Generation Based on Cluster Analysis and Ensemble Model.
IEEE Access, 2019

2018
Lithium-Ion Cell Screening With Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data.
IEEE Access, 2018

Fault Diagnosis and Knowledge Extraction Using Fast Logical Analysis of Data with Multiple Rules Discovery Ability.
Proceedings of the Intelligence Science II - Third IFIP TC12 International Conference, 2018

Improved Weighted PLS for Quality-Relevant Fault Monitoring Based on Inner Matrix Similarity.
Proceedings of the 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2018

2017
Intelligent integrated coking flue gas indices prediction.
Proceedings of the 18th IEEE/ACIS International Conference on Software Engineering, 2017

Optimal Setting for Coking Flue Gas Denitriation Process Indices Based on PCR-Multi-Case Fusion.
Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017

2016
Modeling of integrated processes for coking flue gas desulfurization and denitrification based on RBFNN.
Proceedings of the 15th IEEE/ACIS International Conference on Computer and Information Science, 2016

2013
Limitation of RFID data cleaning method - SMURF.
Proceedings of the 2013 IEEE International Conference on RFID-Technologies and Applications, 2013

2012
Back Projection Strategy for Solving Mode Mixing Problem.
Int. J. Wavelets Multiresolution Inf. Process., 2012

Mixed-reality simulation of RFID systems using iterated learning.
Int. J. RF Technol. Res. Appl., 2012

RFID application in manufacturing: A case study on a pilot RFID project in household appliance production.
Int. J. Comput. Integr. Manuf., 2012

2011
A systematic RFID application platform with integration capability for tour and exhibition.
Proceedings of the 2011 IEEE International Conference on RFID-Technologies and Applications, 2011


  Loading...