Peng Peng
Orcid: 0000-0001-7062-1150Affiliations:
- Zhejiang University-University of Illinois at Urbana-Champaign Institute, Haining, China
- Tsinghua University, Department of Automation, Beijing, China
According to our database1,
Peng Peng
authored at least 35 papers
between 2019 and 2025.
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Bibliography
2025
Class Incremental Fault Diagnosis Under Limited Fault Data via Supervised Contrastive Knowledge Distillation.
IEEE Trans. Ind. Informatics, June, 2025
UnICLAM: Contrastive representation learning with adversarial masking for unified and interpretable Medical Vision Question Answering.
Medical Image Anal., 2025
STAR: Empowering semi-supervised medical image segmentation with SAM-based teacher-student architecture and contrastive consistency regularization.
Expert Syst. Appl., 2025
2024
Generalized Out-of-Distribution Fault Diagnosis (GOOFD) via Internal Contrastive Learning.
IEEE Trans. Ind. Informatics, August, 2024
An Order-Invariant and Interpretable Dilated Convolution Neural Network for Chemical Process Fault Detection and Diagnosis.
IEEE Trans Autom. Sci. Eng., July, 2024
SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-Hoc Interpretable Fault Diagnosis With Limited Fault Samples.
IEEE Trans. Neural Networks Learn. Syst., May, 2024
Supervised contrastive representation learning with tree-structured parzen estimator Bayesian optimization for imbalanced tabular data.
Expert Syst. Appl., March, 2024
2023
Open-Set Fault Diagnosis via Supervised Contrastive Learning With Negative Out-of-Distribution Data Augmentation.
IEEE Trans. Ind. Informatics, March, 2023
Internal Contrastive Learning for Generalized Out-of-distribution Fault Diagnosis (GOOFD) Framework.
CoRR, 2023
Hard Sample Mining Enabled Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosis.
CoRR, 2023
An Order-Invariant and Interpretable Hierarchical Dilated Convolution Neural Network for Chemical Fault Detection and Diagnosis.
CoRR, 2023
SCLIFD: Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data.
CoRR, 2023
SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-hoc Interpretable Fault Diagnosis with Limited Fault Samples.
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
A Novel Encoder-Decoder Architecture for Table Border Segmentation of Scanned Documents.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023
Multi-gate Mixture-of-Expert Combined with Synthetic Minority Over-sampling Technique for Multimode Imbalanced Fault Diagnosis.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023
EGDE: A Framework for Bridging the Gap in Medical Zero-shot Relation Triplet Extraction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
A Class-Rebalancing Self-Training Framework for Distantly-Supervised Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Progressively Balanced Supervised Contrastive Representation Learning for Long-Tailed Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
A sequential resampling approach for imbalanced batch process fault detection in semiconductor manufacturing.
J. Intell. Manuf., 2022
UnICLAM: Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering.
CoRR, 2022
Supervised Contrastive Learning with Tree-Structured Parzen Estimator Bayesian Optimization for Imbalanced Tabular Data.
CoRR, 2022
Non-revisiting genetic cost-sensitive sparse autoencoder for imbalanced fault diagnosis.
Appl. Soft Comput., 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Simultaneous Extraction of Entities and Relations Based on Pre-trained Language Model and Pre-defined Language Templates.
Proceedings of the IEEE International Conference on e-Business Engineering, 2022
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022
2021
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021
Imbalanced Fault Diagnosis Based on Particle Swarm Optimization and Sparse Auto-Encoder.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021
2020
Cost sensitive active learning using bidirectional gated recurrent neural networks for imbalanced fault diagnosis.
Neurocomputing, 2020
2019
Anomaly Detection for Industry Product Quality Inspection based on Gaussian Restricted Boltzmann Machine.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
A Novel Fault Detection and Diagnosis Method Based on Gaussian-Bernoulli Restricted Boltzmann Machine.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Unsupervised Anomaly Detection Using Variational Auto-Encoder based Feature Extraction.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019
Hidden Markov Model Combined with Kernel Principal Component Analysis for Nonlinear Multimode Process Fault Detection.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019