Hidden Markov Model Combined with Kernel Principal Component Analysis for Nonlinear Multimode Process Fault Detection. - Peng Peng 006; Jiaxin Zhao; Yi Zhang 133; Heming Zhang 001 (CASE, 2019)

Unsupervised Anomaly Detection Using Variational Auto-Encoder based Feature Extraction. - Rong Yao; Chongdang Liu; Linxuan Zhang; Peng Peng 006 (ICPHM, 2019)

A Novel Fault Detection and Diagnosis Method Based on Gaussian-Bernoulli Restricted Boltzmann Machine. - Peng Peng 006; Yinan Wu 002; Yi Zhang 133; Heming Zhang 001 (SMC, 2019)

Anomaly Detection for Industry Product Quality Inspection based on Gaussian Restricted Boltzmann Machine. - Yi Zhang 133; Peng Peng 006; Chongdang Liu; Heming Zhang 001 (SMC, 2019)

A Robust and Sparse Process Fault Detection Method Based on RSPCA. - Peng Peng 006; Yi Zhang 133; Feng Liu 039; Hongwei Wang 001; Heming Zhang 001 (IEEE Access, 2019)

Cost sensitive active learning using bidirectional gated recurrent neural networks for imbalanced fault diagnosis. - Peng Peng 006; Wenjia Zhang; Yi Zhang 133; Yanyan Xu 004; Hongwei Wang 001; Heming Zhang 001 (Neurocomputing, 2020)

Imbalanced Fault Diagnosis Based on Particle Swarm Optimization and Sparse Auto-Encoder. - Peng Peng 006; Wenjia Zhang; Yi Zhang 133; Hongwei Wang 001; Heming Zhang 001 (CSCWD, 2021)

Using Bidirectional GAN with Improved Training Architecture for Imbalanced Tasks. - Wenjia Zhang; Peng Peng 006; Heming Zhang 001 (CSCWD, 2021)

Imbalanced Fault Diagnosis by Supervised Contrastive Learning. - Peng Peng 006; Xinyue Wang; Jiaxun Lu; Qi Li; Shuting Tao; Zixuan Wang; Hongwei Wang 001; Heming Zhang 001 (CSCWD, 2022)

Knowledge Mining Based Collaborative Framework for Manufacturing Value Chains. - Bo Qin; Jian Zhang 083; Ke Ma; Peng Peng 006; Hongwei Wang 001 (CSCWD, 2022)

Simultaneous Extraction of Entities and Relations Based on Pre-trained Language Model and Pre-defined Language Templates. - Chunnan Shang; Bo Qin; Peng Peng 006; Hongwei Wang 001 (ICEBE, 2022)

Open Knowledge Graph Link Prediction with Segmented Embedding. - Tingyu Xie; Peng Peng 006; Hongwei Wang 001; Yusheng Liu (IJCNN, 2022)

Non-revisiting genetic cost-sensitive sparse autoencoder for imbalanced fault diagnosis. - Peng Peng 006; Wenjia Zhang; Yi Zhang 133; Hongwei Wang 001; Heming Zhang 001 (Appl. Soft Comput., 2022)

Supervised Contrastive Learning with Tree-Structured Parzen Estimator Bayesian Optimization for Imbalanced Tabular Data. - Shuting Tao; Peng Peng 006; Qi Li; Hongwei Wang 001 (CoRR, 2022)

UnICLAM: Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering. - Chenlu Zhan; Peng Peng 006; Hongsen Wang; Tao Chen; Hongwei Wang 001 (CoRR, 2022)

A sequential resampling approach for imbalanced batch process fault detection in semiconductor manufacturing. - Yi Zhang 133; Peng Peng 006; Chongdang Liu; Yanyan Xu 004; Heming Zhang 001 (J. Intell. Manuf., 2022)

Progressively Balanced Supervised Contrastive Representation Learning for Long-Tailed Fault Diagnosis. - Peng Peng 006; Jiaxun Lu; Shuting Tao; Ke Ma; Yi Zhang 133; Hongwei Wang 001; Heming Zhang 001 (IEEE Trans. Instrum. Meas., 2022)

A Class-Rebalancing Self-Training Framework for Distantly-Supervised Named Entity Recognition. - Qi Li; Tingyu Xie; Peng Peng 006; Hongwei Wang 001; Gaoang Wang (ACL (Findings), 2023)

EGDE: A Framework for Bridging the Gap in Medical Zero-shot Relation Triplet Extraction. - Jiayuan Su; Jian Zhang 083; Peng Peng 006; Hongwei Wang 001 (BIBM, 2023)

Multi-gate Mixture-of-Expert Combined with Synthetic Minority Over-sampling Technique for Multimode Imbalanced Fault Diagnosis. - Wanqiu Huang; Hanrong Zhang; Peng Peng 006; Hongwei Wang 001 (CSCWD, 2023)

A Novel Encoder-Decoder Architecture for Table Border Segmentation of Scanned Documents. - Kaihong Yan; Haoran Tang; Jian Zhang 083; Peng Peng 006; Hongwei Wang 001 (CSCWD, 2023)

Debiasing Medical Visual Question Answering via Counterfactual Training. - Chenlu Zhan; Peng Peng 006; Hanrong Zhang; Haiyue Sun; Chunnan Shang; Tao Chen; Hongsen Wang; Gaoang Wang; Hongwei Wang 001 (MICCAI (2), 2023)

SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-hoc Interpretable Fault Diagnosis with Limited Fault Samples. - Mengxuan Li 003; Peng Peng 006; Jingxin Zhang 008; Hongwei Wang 001; Weiming Shen 001 (CoRR, 2023)

SCLIFD: Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data. - Peng Peng 006; Hanrong Zhang; Mengxuan Li 003; Gongzhuang Peng; Hongwei Wang 001; Weiming Shen 001 (CoRR, 2023)

An Order-Invariant and Interpretable Hierarchical Dilated Convolution Neural Network for Chemical Fault Detection and Diagnosis. - Mengxuan Li 003; Peng Peng 006; Min Wang; Hongwei Wang 001 (CoRR, 2023)

Hard Sample Mining Enabled Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosis. - Zixuan Wang; Bo Qin; Mengxuan Li 003; Mark D. Butala; Haibo Wang; Peng Peng 006; Hongwei Wang 001 (CoRR, 2023)

Internal Contrastive Learning for Generalized Out-of-distribution Fault Diagnosis (GOOFD) Framework. - Xingyue Wang; Hanrong Zhang; Ke Ma; Shuting Tao; Peng Peng 006; Hongwei Wang 001 (CoRR, 2023)

Open-Set Fault Diagnosis via Supervised Contrastive Learning With Negative Out-of-Distribution Data Augmentation. - Peng Peng 006; Jiaxun Lu; Tingyu Xie; Shuting Tao; Hongwei Wang 001; Heming Zhang 001 (IEEE Trans. Ind. Informatics, 2023)

Supervised contrastive representation learning with tree-structured parzen estimator Bayesian optimization for imbalanced tabular data. - Shuting Tao; Peng Peng 006; Yunfei Li; Haiyue Sun; Qi Li; Hongwei Wang 001 (Expert Syst. Appl., 2024)

SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-Hoc Interpretable Fault Diagnosis With Limited Fault Samples. - Mengxuan Li 003; Peng Peng 006; Jingxin Zhang 002; Hongwei Wang 001; Weiming Shen 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

An Order-Invariant and Interpretable Dilated Convolution Neural Network for Chemical Process Fault Detection and Diagnosis. - Mengxuan Li 003; Peng Peng 006; Haiyue Sun; Min Wang; Hongwei Wang 001 (IEEE Trans Autom. Sci. Eng., 2024)

Generalized Out-of-Distribution Fault Diagnosis (GOOFD) via Internal Contrastive Learning. - Xingyue Wang; Hanrong Zhang; Xinlong Qiao; Ke Ma; Shuting Tao; Peng Peng 006; Hongwei Wang 001 (IEEE Trans. Ind. Informatics, 2024)

STAR: Empowering semi-supervised medical image segmentation with SAM-based teacher-student architecture and contrastive consistency regularization. - Qiwei Liang; Rulin Zhou; Yijing Zhou; Guankun Wang; Peng Peng 006; Xiaopin Zhong (Expert Syst. Appl., 2025)

UnICLAM: Contrastive representation learning with adversarial masking for unified and interpretable Medical Vision Question Answering. - Chenlu Zhan; Peng Peng 006; Hongwei Wang 001; Gaoang Wang; Yu Lin; Tao Chen; Hongsen Wang (Medical Image Anal., 2025)

Class Incremental Fault Diagnosis Under Limited Fault Data via Supervised Contrastive Knowledge Distillation. - Hanrong Zhang; Yifei Yao; Zixuan Wang; Jiayuan Su; Mengxuan Li 003; Peng Peng 006; Hongwei Wang 001 (IEEE Trans. Ind. Informatics, 2025)