Peng Peng - RankMe

36 papers B 3C 6Journal 21Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Class Incremental Fault Diagnosis Under Limited Fault Data via Supervised Contrastive Knowledge Distillation. IEEE Trans. Ind. Informatics Hanrong Zhang, Yifei Yao, Zixuan Wang, Jiayuan Su, Mengxuan Li, Peng Peng, Hongwei Wang
2025	J	`jnl`	Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation. CoRR Hanrong Zhang, Yifei Yao, Zixuan Wang, Jiayuan Su, Mengxuan Li, Peng Peng, Hongwei Wang
2025	J	`jnl`	STAR: Empowering semi-supervised medical image segmentation with SAM-based teacher-student architecture and contrastive consistency regularization. Expert Syst. Appl. Qiwei Liang, Rulin Zhou, Yijing Zhou, Guankun Wang, Peng Peng, Xiaopin Zhong
2025	J	`jnl`	UnICLAM: Contrastive representation learning with adversarial masking for unified and interpretable Medical Vision Question Answering. Medical Image Anal. Chenlu Zhan, Peng Peng, Hongwei Wang, Gaoang Wang, Yu Lin, Tao Chen, Hongsen Wang
2024	J	`jnl`	An Order-Invariant and Interpretable Dilated Convolution Neural Network for Chemical Process Fault Detection and Diagnosis. IEEE Trans Autom. Sci. Eng. Mengxuan Li, Peng Peng, Haiyue Sun, Min Wang, Hongwei Wang
2024	J	`jnl`	Generalized Out-of-Distribution Fault Diagnosis (GOOFD) via Internal Contrastive Learning. IEEE Trans. Ind. Informatics Xingyue Wang, Hanrong Zhang, Xinlong Qiao, Ke Ma, Shuting Tao, Peng Peng, Hongwei Wang
2024	J	`jnl`	SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-Hoc Interpretable Fault Diagnosis With Limited Fault Samples. IEEE Trans. Neural Networks Learn. Syst. Mengxuan Li, Peng Peng, Jingxin Zhang, Hongwei Wang, Weiming Shen
2024	J	`jnl`	Supervised contrastive representation learning with tree-structured parzen estimator Bayesian optimization for imbalanced tabular data. Expert Syst. Appl. Shuting Tao, Peng Peng, Yunfei Li, Haiyue Sun, Qi Li, Hongwei Wang
2023	—	`conf`	A Class-Rebalancing Self-Training Framework for Distantly-Supervised Named Entity Recognition. ACL (Findings) Qi Li, Tingyu Xie, Peng Peng, Hongwei Wang, Gaoang Wang
2023	C	`conf`	A Novel Encoder-Decoder Architecture for Table Border Segmentation of Scanned Documents. CSCWD Kaihong Yan, Haoran Tang, Jian Zhang, Peng Peng, Hongwei Wang
2023	J	`jnl`	An Order-Invariant and Interpretable Hierarchical Dilated Convolution Neural Network for Chemical Fault Detection and Diagnosis. CoRR Mengxuan Li, Peng Peng, Min Wang, Hongwei Wang
2023	—	`conf`	Debiasing Medical Visual Question Answering via Counterfactual Training. MICCAI (2) Chenlu Zhan, Peng Peng, Hanrong Zhang, Haiyue Sun, Chunnan Shang, Tao Chen, Hongsen Wang, Gaoang Wang, Hongwei Wang
2023	—	`conf`	EGDE: A Framework for Bridging the Gap in Medical Zero-shot Relation Triplet Extraction. BIBM Jiayuan Su, Jian Zhang, Peng Peng, Hongwei Wang
2023	J	`jnl`	Hard Sample Mining Enabled Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosis. CoRR Zixuan Wang, Bo Qin, Mengxuan Li, Mark D. Butala, Haibo Wang, Peng Peng, Hongwei Wang
2023	J	`jnl`	Internal Contrastive Learning for Generalized Out-of-distribution Fault Diagnosis (GOOFD) Framework. CoRR Xingyue Wang, Hanrong Zhang, Ke Ma, Shuting Tao, Peng Peng, Hongwei Wang
2023	C	`conf`	Multi-gate Mixture-of-Expert Combined with Synthetic Minority Over-sampling Technique for Multimode Imbalanced Fault Diagnosis. CSCWD Wanqiu Huang, Hanrong Zhang, Peng Peng, Hongwei Wang
2023	J	`jnl`	Open-Set Fault Diagnosis via Supervised Contrastive Learning With Negative Out-of-Distribution Data Augmentation. IEEE Trans. Ind. Informatics Peng Peng, Jiaxun Lu, Tingyu Xie, Shuting Tao, Hongwei Wang, Heming Zhang
2023	J	`jnl`	SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-hoc Interpretable Fault Diagnosis with Limited Fault Samples. CoRR Mengxuan Li, Peng Peng, Jingxin Zhang, Hongwei Wang, Weiming Shen
2023	J	`jnl`	SCLIFD: Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data. CoRR Peng Peng, Hanrong Zhang, Mengxuan Li, Gongzhuang Peng, Hongwei Wang, Weiming Shen
2022	J	`jnl`	A sequential resampling approach for imbalanced batch process fault detection in semiconductor manufacturing. J. Intell. Manuf. Yi Zhang, Peng Peng, Chongdang Liu, Yanyan Xu, Heming Zhang
2022	C	`conf`	Imbalanced Fault Diagnosis by Supervised Contrastive Learning. CSCWD Peng Peng, Xinyue Wang, Jiaxun Lu, Qi Li, Shuting Tao, Zixuan Wang, Hongwei Wang, Heming Zhang
2022	C	`conf`	Knowledge Mining Based Collaborative Framework for Manufacturing Value Chains. CSCWD Bo Qin, Jian Zhang, Ke Ma, Peng Peng, Hongwei Wang
2022	J	`jnl`	Non-revisiting genetic cost-sensitive sparse autoencoder for imbalanced fault diagnosis. Appl. Soft Comput. Peng Peng, Wenjia Zhang, Yi Zhang, Hongwei Wang, Heming Zhang
2022	B	`conf`	Open Knowledge Graph Link Prediction with Segmented Embedding. IJCNN Tingyu Xie, Peng Peng, Hongwei Wang, Yusheng Liu
2022	J	`jnl`	Progressively Balanced Supervised Contrastive Representation Learning for Long-Tailed Fault Diagnosis. IEEE Trans. Instrum. Meas. Peng Peng, Jiaxun Lu, Shuting Tao, Ke Ma, Yi Zhang, Hongwei Wang, Heming Zhang
2022	—	`conf`	Simultaneous Extraction of Entities and Relations Based on Pre-trained Language Model and Pre-defined Language Templates. ICEBE Chunnan Shang, Bo Qin, Peng Peng, Hongwei Wang
2022	J	`jnl`	Supervised Contrastive Learning with Tree-Structured Parzen Estimator Bayesian Optimization for Imbalanced Tabular Data. CoRR Shuting Tao, Peng Peng, Qi Li, Hongwei Wang
2022	J	`jnl`	UnICLAM: Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering. CoRR Chenlu Zhan, Peng Peng, Hongsen Wang, Tao Chen, Hongwei Wang
2021	C	`conf`	Imbalanced Fault Diagnosis Based on Particle Swarm Optimization and Sparse Auto-Encoder. CSCWD Peng Peng, Wenjia Zhang, Yi Zhang, Hongwei Wang, Heming Zhang
2021	C	`conf`	Using Bidirectional GAN with Improved Training Architecture for Imbalanced Tasks. CSCWD Wenjia Zhang, Peng Peng, Heming Zhang
2020	J	`jnl`	Cost sensitive active learning using bidirectional gated recurrent neural networks for imbalanced fault diagnosis. Neurocomputing Peng Peng, Wenjia Zhang, Yi Zhang, Yanyan Xu, Hongwei Wang, Heming Zhang
2019	B	`conf`	A Novel Fault Detection and Diagnosis Method Based on Gaussian-Bernoulli Restricted Boltzmann Machine. SMC Peng Peng, Yinan Wu, Yi Zhang, Heming Zhang
2019	J	`jnl`	A Robust and Sparse Process Fault Detection Method Based on RSPCA. IEEE Access Peng Peng, Yi Zhang, Feng Liu, Hongwei Wang, Heming Zhang
2019	B	`conf`	Anomaly Detection for Industry Product Quality Inspection based on Gaussian Restricted Boltzmann Machine. SMC Yi Zhang, Peng Peng, Chongdang Liu, Heming Zhang
2019	—	`conf`	Hidden Markov Model Combined with Kernel Principal Component Analysis for Nonlinear Multimode Process Fault Detection. CASE Peng Peng, Jiaxin Zhao, Yi Zhang, Heming Zhang
2019	—	`conf`	Unsupervised Anomaly Detection Using Variational Auto-Encoder based Feature Extraction. ICPHM Rong Yao, Chongdang Liu, Linxuan Zhang, Peng Peng