Pei Quan

According to our database, Pei Quan authored at least 28 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A universal network strategy for lightspeed computation of entropy-regularized optimal transport.

Yong Shi, Lei Zheng, Pei Quan, Yang Xiao, Lingfeng Niu

Neural Networks, 2025

ExGAT: Context extended graph attention neural network.

Pei Quan, Lei Zheng, Wen Zhang, Yang Xiao, Lingfeng Niu, Yong Shi

Neural Networks, 2025

2024

Lightweight Deep Learning for Missing Data Imputation in Wastewater Treatment With Variational Residual Auto-Encoder.

Wen Zhang, Rui Li, Pei Quan, Jiang Chang, Yongsheng Bai, Bojun Su

IEEE Internet Things J., December, 2024

Advance Selling Strategy with Return Service: The Impacts of Information Disclosure and Disclosure Methods.

Yajing Wang, Jian Li, Shichao Zhu, Pei Quan

Asia Pac. J. Oper. Res., August, 2024

Wasserstein distance regularized graph neural networks.

Yong Shi, Lei Zheng, Pei Quan, Lingfeng Niu

Inf. Sci., 2024

A semi-supervised concept-cognitive computing system for dynamic classification decision making with limited feedback information.

Yunlong Mi, Zongrun Wang, Pei Quan, Yong Shi

Eur. J. Oper. Res., 2024

2023

Prediction of influent wastewater quality based on wavelet transform and residual LSTM.

Wen Zhang, Jiangpeng Zhao, Pei Quan, Jiawei Wang, Xiaoyu Meng, Qun Li

Appl. Soft Comput., November, 2023

Graph Influence Network.

Yong Shi, Pei Quan, Yang Xiao, Minglong Lei, Lingfeng Niu

IEEE Trans. Cybern., October, 2023

2022

DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation.

Minglong Lei, Pei Quan, Rongrong Ma, Yong Shi, Lingfeng Niu

IEEE Trans. Cybern., 2022

Latent neighborhood-based heterogeneous graph representation.

Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu

Neural Networks, 2022

Concept-cognitive computing system for dynamic classification.

Yunlong Mi, Pei Quan, Yong Shi, Zongrun Wang

Eur. J. Oper. Res., 2022

Optimal Transport Guided Node Classification in Cross Networks.

Lei Zheng, Pei Quan, Minglong Lei, Yang Xiao, Lingfeng Niu

Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

2021

SKNet: Detecting Rotated Ships as Keypoints in Optical Remote Sensing Images.

Zhenyu Cui, Jiaxu Leng, Ying Liu, Tianlin Zhang, Pei Quan, Wei Zhao

IEEE Trans. Geosci. Remote. Sens., 2021

Document-level relation extraction via graph transformer networks and temporal convolutional networks.

Yong Shi, Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu

Pattern Recognit. Lett., 2021

Distant Supervision Relation Extraction via adaptive dependency-path and additional knowledge graph supervision.

Yong Shi, Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu

Neural Networks, 2021

A survey of sparse regularization based compression methods.

Anda Tang, Pei Quan, Lingfeng Niu, Yong Shi

Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021

2020

Robust Obstacle Detection and Recognition for Driver Assistance Systems.

Jiaxu Leng, Ying Liu, Dawei Du, Tianlin Zhang, Pei Quan

IEEE Trans. Intell. Transp. Syst., 2020

2019

A Brief Review of Receptive Fields in Graph Convolutional Networks.

Pei Quan, Yong Shi, Minglong Lei, Jiaxu Leng, Tianlin Zhang, Lingfeng Niu

Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Big Data Analysis: Theory and Applications.

Yong Shi, Pei Quan

Proceedings of the Large-Scale Scientific Computing - 12th International Conference, 2019

Review of bankruptcy prediction using machine learning and deep learning techniques.

Yi Qu, Pei Quan, Minglong Lei, Yong Shi

Proceedings of the 7th International Conference on Information Technology and Quantitative Management, 2019

A Novel Neuron Connection Model Mimicking Human Beings.

Jiaxu Leng, Zhenyu Cui, Chao Xiang, Tianlin Zhang, Pei Quan

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Alzheimer's Disease Diagnosis Using Enhanced Inception Network Based on Brain Magnetic Resonance Image.

Zhenyu Cui, Zhiao Gao, Jiaxu Leng, Tianlin Zhang, Pei Quan, Wei Zhao

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Automatic Chinese Multiple-Choice Question Generation for Human Resource Performance Appraisal.

Pei Quan, Yong Shi, Lingfeng Niu, Ying Liu, Tianlin Zhang

Proceedings of the 6th International Conference on Information Technology and Quantitative Management, 2018

Context Learning Network for Object Detection.

Jiaxu Leng, Ying Liu, Tianlin Zhang, Pei Quan

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

A Novel Data Mining Approach Towards Human Resource Performance Appraisal.

Pei Quan, Ying Liu, Tianlin Zhang, Yueran Wen, Kaichao Wu, Hongbo He, Yong Shi

Proceedings of the Computational Science - ICCS 2018, 2018

A Novel Parsing-Based Automatic Domain Terminology Extraction Method.

Ying Liu, Tianlin Zhang, Pei Quan, Yueran Wen, Kaichao Wu, Hongbo He

Proceedings of the Computational Science - ICCS 2018, 2018

Domain specific automatic Chinese multiple-type question generation.

Tianlin Zhang, Ying Liu, Pei Quan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Context-Aware U-Net for Biomedical Image Segmentation.

Jiaxu Leng, Ying Liu, Tianlin Zhang, Pei Quan, Zhenyu Cui

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018