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Pei Quan
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2020 – today
- 2025
- [j14]Pei Quan, Lei Zheng, Wen Zhang, Yang Xiao, Lingfeng Niu, Yong Shi:
ExGAT: Context extended graph attention neural network. Neural Networks 181: 106784 (2025) - 2024
- [j13]Yajing Wang, Jian Li, Shichao Zhu, Pei Quan:
Advance Selling Strategy with Return Service: The Impacts of Information Disclosure and Disclosure Methods. Asia Pac. J. Oper. Res. 41(4): 2440009:1-2440009:31 (2024) - [j12]Yunlong Mi, Zongrun Wang, Pei Quan, Yong Shi:
A semi-supervised concept-cognitive computing system for dynamic classification decision making with limited feedback information. Eur. J. Oper. Res. 315(3): 1123-1138 (2024) - [j11]Wen Zhang, Rui Li, Pei Quan, Jiang Chang, Yongsheng Bai, Bojun Su:
Lightweight Deep Learning for Missing Data Imputation in Wastewater Treatment With Variational Residual Auto-Encoder. IEEE Internet Things J. 11(23): 38312-38326 (2024) - [j10]Yong Shi, Lei Zheng, Pei Quan, Lingfeng Niu:
Wasserstein distance regularized graph neural networks. Inf. Sci. 670: 120608 (2024) - 2023
- [j9]Wen Zhang, Jiangpeng Zhao, Pei Quan, Jiawei Wang, Xiaoyu Meng, Qun Li:
Prediction of influent wastewater quality based on wavelet transform and residual LSTM. Appl. Soft Comput. 148: 110858 (2023) - [j8]Yong Shi, Pei Quan, Yang Xiao, Minglong Lei, Lingfeng Niu:
Graph Influence Network. IEEE Trans. Cybern. 53(10): 6146-6159 (2023) - 2022
- [j7]Yunlong Mi, Pei Quan, Yong Shi, Zongrun Wang:
Concept-cognitive computing system for dynamic classification. Eur. J. Oper. Res. 301(1): 287-299 (2022) - [j6]Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu:
Latent neighborhood-based heterogeneous graph representation. Neural Networks 154: 413-424 (2022) - [j5]Minglong Lei, Pei Quan, Rongrong Ma, Yong Shi, Lingfeng Niu:
DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation. IEEE Trans. Cybern. 52(2): 912-924 (2022) - [c13]Lei Zheng, Pei Quan, Minglong Lei, Yang Xiao, Lingfeng Niu:
Optimal Transport Guided Node Classification in Cross Networks. ITQM 2022: 1160-1167 - 2021
- [j4]Yong Shi, Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu:
Distant Supervision Relation Extraction via adaptive dependency-path and additional knowledge graph supervision. Neural Networks 134: 42-53 (2021) - [j3]Yong Shi, Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu:
Document-level relation extraction via graph transformer networks and temporal convolutional networks. Pattern Recognit. Lett. 149: 150-156 (2021) - [j2]Zhenyu Cui, Jiaxu Leng, Ying Liu, Tianlin Zhang, Pei Quan, Wei Zhao:
SKNet: Detecting Rotated Ships as Keypoints in Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 59(10): 8826-8840 (2021) - [c12]Anda Tang, Pei Quan, Lingfeng Niu, Yong Shi:
A survey of sparse regularization based compression methods. ITQM 2021: 703-709 - 2020
- [j1]Jiaxu Leng, Ying Liu, Dawei Du, Tianlin Zhang, Pei Quan:
Robust Obstacle Detection and Recognition for Driver Assistance Systems. IEEE Trans. Intell. Transp. Syst. 21(4): 1560-1571 (2020)
2010 – 2019
- 2019
- [c11]Jiaxu Leng, Zhenyu Cui, Chao Xiang, Tianlin Zhang, Pei Quan:
A Novel Neuron Connection Model Mimicking Human Beings. BIBM 2019: 1217-1219 - [c10]Zhenyu Cui, Zhiao Gao, Jiaxu Leng, Tianlin Zhang, Pei Quan, Wei Zhao:
Alzheimer's Disease Diagnosis Using Enhanced Inception Network Based on Brain Magnetic Resonance Image. BIBM 2019: 2324-2330 - [c9]Yi Qu, Pei Quan, Minglong Lei, Yong Shi:
Review of bankruptcy prediction using machine learning and deep learning techniques. ITQM 2019: 895-899 - [c8]Yong Shi, Pei Quan:
Big Data Analysis: Theory and Applications. LSSC 2019: 15-27 - [c7]Pei Quan, Yong Shi, Minglong Lei, Jiaxu Leng, Tianlin Zhang, Lingfeng Niu:
A Brief Review of Receptive Fields in Graph Convolutional Networks. WI (Companion) 2019: 106-110 - 2018
- [c6]Tianlin Zhang, Ying Liu, Pei Quan:
Domain specific automatic Chinese multiple-type question generation. BIBM 2018: 1967-1971 - [c5]Jiaxu Leng, Ying Liu, Tianlin Zhang, Pei Quan, Zhenyu Cui:
Context-Aware U-Net for Biomedical Image Segmentation. BIBM 2018: 2535-2538 - [c4]Pei Quan, Ying Liu, Tianlin Zhang, Yueran Wen, Kaichao Wu, Hongbo He, Yong Shi:
A Novel Data Mining Approach Towards Human Resource Performance Appraisal. ICCS (2) 2018: 476-488 - [c3]Ying Liu, Tianlin Zhang, Pei Quan, Yueran Wen, Kaichao Wu, Hongbo He:
A Novel Parsing-Based Automatic Domain Terminology Extraction Method. ICCS (3) 2018: 796-802 - [c2]Jiaxu Leng, Ying Liu, Tianlin Zhang, Pei Quan:
Context Learning Network for Object Detection. ICDM Workshops 2018: 667-673 - [c1]Pei Quan, Yong Shi, Lingfeng Niu, Ying Liu, Tianlin Zhang:
Automatic Chinese Multiple-Choice Question Generation for Human Resource Performance Appraisal. ITQM 2018: 165-172
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