Peng Peng

发表

Supervised Contrastive Learning with TPE-based Bayesian Optimization of Tabular Data for Imbalanced Learning

Shuting Tao, Hongwei Wang, Peng Peng, 2022 .

Supervised Contrastive Learning with Tree-Structured Parzen Estimator Bayesian Optimization for Imbalanced Tabular Data

Shuting Tao, Qi Li, Hongwei Wang, 2022, ArXiv.

An interpretable intuitionistic fuzzy inference model for stock prediction

Xiaozheng Lai, Peng Peng, Wei-Mun Wang, 2022, Expert Syst. Appl..

Progressively Balanced Supervised Contrastive Representation Learning for Long-Tailed Fault Diagnosis

Heming Zhang, Hongwei Wang, Shuting Tao, 2022, IEEE Transactions on Instrumentation and Measurement.

Open-Set Fault Diagnosis via Supervised Contrastive Learning With Negative Out-of-Distribution Data Augmentation

Heming Zhang, Hongwei Wang, Shuting Tao, 2023, IEEE Transactions on Industrial Informatics.

Open Knowledge Graph Link Prediction with Segmented Embedding

Hongwei Wang, Tingyu Xie, Peng Peng, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

UnICLAM: Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering

Tao Chen, Hongwei Wang, Peng Peng, 2022, ArXiv.

Unsupervised Anomaly Detection Using Variational Auto-Encoder based Feature Extraction

Peng Peng, Linxuan Zhang, Chongdang Liu, 2019, 2019 IEEE International Conference on Prognostics and Health Management (ICPHM).

Cost sensitive active learning using bidirectional gated recurrent neural networks for imbalanced fault diagnosis

Yi Zhang, Yanyan Xu, Wenjia Zhang, 2020, Neurocomputing.

A Novel Fault Detection and Diagnosis Method Based on Gaussian-Bernoulli Restricted Boltzmann Machine

Yinan Wu, Peng Peng, Yi Zhang, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

A Robust and Sparse Process Fault Detection Method Based on RSPCA

Peng Peng, Feng Liu, Yi Zhang, 2019, IEEE Access.

Imbalanced Process Fault Diagnosis Using Enhanced Auxiliary Classifier GAN

Heming Zhang, Yi Wang, Peng Peng, 2020, 2020 Chinese Automation Congress (CAC).

Hidden Markov Model Combined with Kernel Principal Component Analysis for Nonlinear Multimode Process Fault Detection

Peng Peng, Yi Zhang, Heming Zhang, 2019, 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE).

SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-hoc Interpretable Fault Diagnosis with Limited Fault Samples

Jingxin Zhang, Hongwei Wang, Weiming Shen, 2023, ArXiv.

A Novel Encoder-Decoder Architecture for Table Border Segmentation of Scanned Documents

Jing Zhang, Hongwei Wang, Kaihong Yan, 2023, 2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD).

Hard Sample Mining Enabled Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosis

M. Butala, Hongwei Wang, Peng Peng, 2023, ArXiv.

An Effective Fault Diagnosis Approach Based On Gentle AdaBoost and AdaBoost.MH

Heming Zhang, Peng Peng, Yi Zhang, 2018, 2018 IEEE International Conference on Automation, Electronics and Electrical Engineering (AUTEEE).

Internal Contrastive Learning for Generalized Out-of-distribution Fault Diagnosis (GOOFD) Framework

Shuting Tao, Hongwei Wang, Peng Peng, 2023, arXiv.org.

Fault Diagnosis of RV Reducer with Noise Interference

Peng Peng, Ke Liangliang, Wang Jiugen, 2020, Journal of Mechanical Engineering.

Anomaly Detection for Industry Product Quality Inspection based on Gaussian Restricted Boltzmann Machine

Peng Peng, Yi Zhang, Heming Zhang, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Event - Based Quadripartite Representation of The Power Operation Text

Yi Zhang, Yanyan Xu, Jianli Song, 2020, 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC).

SCLIFD: Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data

Gongzhuang Peng, Weiming Shen, Hongwei Wang, 2023, ArXiv.

UnICLAM: Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering

Tao Chen, Hongwei Wang, Peng Peng, 2022, ArXiv.

An imbalanced semi-supervised wind turbine blade icing detection method based on contrastive learning

M. Butala, Jing Zhang, C. Demartino, 2023, Renewable Energy.

Towards robust and understandable fault detection and diagnosis using denoising sparse autoencoder and smooth integrated gradients.

Heming Zhang, Hongwei Wang, Peng Peng, 2021, ISA transactions.

Hard Sample Mining Enabled Supervised Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosis

M. Butala, Hongwei Wang, Peng Peng, 2023, 2306.14701.