Pei Quan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Cognitive Computing

Top Venues

IEEE Trans. Cybern.

Eur. J. Oper. Res.

Publications

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) (2024)
Yong Shi, Lei Zheng, Pei Quan, Lingfeng Niu
Wasserstein distance regularized graph neural networks. Inf. Sci. 670 (2024)
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 (2023)
Yong Shi, Pei Quan, Yang Xiao, Minglong Lei, Lingfeng Niu
Graph Influence Network. IEEE Trans. Cybern. 53 (10) (2023)
Minglong Lei, Pei Quan, Rongrong Ma, Yong Shi, Lingfeng Niu
DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation. IEEE Trans. Cybern. 52 (2) (2022)
Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu
Latent neighborhood-based heterogeneous graph representation. Neural Networks 154 (2022)
Lei Zheng, Pei Quan, Minglong Lei, Yang Xiao, Lingfeng Niu
Optimal Transport Guided Node Classification in Cross Networks. ITQM (2022)
Yunlong Mi, Pei Quan, Yong Shi, Zongrun Wang
Concept-cognitive computing system for dynamic classification. Eur. J. Oper. Res. 301 (1) (2022)
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 (2021)
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) (2021)
Anda Tang, Pei Quan, Lingfeng Niu, Yong Shi
A survey of sparse regularization based compression methods. ITQM (2021)
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 (2021)
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) (2020)
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)
Yong Shi, Pei Quan
Big Data Analysis: Theory and Applications. LSSC (2019)
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)
Yi Qu, Pei Quan, Minglong Lei, Yong Shi
Review of bankruptcy prediction using machine learning and deep learning techniques. ITQM (2019)
Jiaxu Leng, Zhenyu Cui, Chao Xiang, Tianlin Zhang, Pei Quan
A Novel Neuron Connection Model Mimicking Human Beings. BIBM (2019)
Pei Quan, Yong Shi, Lingfeng Niu, Ying Liu, Tianlin Zhang
Automatic Chinese Multiple-Choice Question Generation for Human Resource Performance Appraisal. ITQM (2018)
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)
Jiaxu Leng, Ying Liu, Tianlin Zhang, Pei Quan, Zhenyu Cui
Context-Aware U-Net for Biomedical Image Segmentation. BIBM (2018)
Tianlin Zhang, Ying Liu, Pei Quan
Domain specific automatic Chinese multiple-type question generation. BIBM (2018)
Ying Liu, Tianlin Zhang, Pei Quan, Yueran Wen, Kaichao Wu, Hongbo He
A Novel Parsing-Based Automatic Domain Terminology Extraction Method. ICCS (3) (2018)
Jiaxu Leng, Ying Liu, Tianlin Zhang, Pei Quan
Context Learning Network for Object Detection. ICDM Workshops (2018)