Pei Quan

29 papers Journal 16Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
A universal network strategy for lightspeed computation of entropy-regularized optimal transport.
Neural Networks
Yong Shi, Lei Zheng, Pei Quan, Yang Xiao, Lingfeng Niu
2025 J jnl
ExGAT: Context extended graph attention neural network.
Neural Networks
Pei Quan, Lei Zheng, Wen Zhang, Yang Xiao, Lingfeng Niu, Yong Shi
2025 J jnl
Product return prediction in live streaming e-commerce with cross-modal contrastive transformer.
Decis. Support Syst.
Wen Zhang, Rui Xie, Pei Quan, Zhenzhong Ma
2024 J jnl
A semi-supervised concept-cognitive computing system for dynamic classification decision making with limited feedback information.
Eur. J. Oper. Res.
Yunlong Mi, Zongrun Wang, Pei Quan, Yong Shi
2024 J jnl
Advance Selling Strategy with Return Service: The Impacts of Information Disclosure and Disclosure Methods.
Asia Pac. J. Oper. Res.
Yajing Wang, Jian Li, Shichao Zhu, Pei Quan
2024 J jnl
Lightweight Deep Learning for Missing Data Imputation in Wastewater Treatment With Variational Residual Auto-Encoder.
IEEE Internet Things J.
Wen Zhang, Rui Li, Pei Quan, Jiang Chang, Yongsheng Bai, Bojun Su
2024 J jnl
Wasserstein distance regularized graph neural networks.
Inf. Sci.
Yong Shi, Lei Zheng, Pei Quan, Lingfeng Niu
2023 J jnl
Graph Influence Network.
IEEE Trans. Cybern.
Yong Shi, Pei Quan, Yang Xiao, Minglong Lei, Lingfeng Niu
2023 J jnl
Prediction of influent wastewater quality based on wavelet transform and residual LSTM.
Appl. Soft Comput.
Wen Zhang, Jiangpeng Zhao, Pei Quan, Jiawei Wang, Xiaoyu Meng, Qun Li
2022 J jnl
Concept-cognitive computing system for dynamic classification.
Eur. J. Oper. Res.
Yunlong Mi, Pei Quan, Yong Shi, Zongrun Wang
2022 J jnl
DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation.
IEEE Trans. Cybern.
Minglong Lei, Pei Quan, Rongrong Ma, Yong Shi, Lingfeng Niu
2022 J jnl
Latent neighborhood-based heterogeneous graph representation.
Neural Networks
Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu
2022 — conf
Optimal Transport Guided Node Classification in Cross Networks.
ITQM
Lei Zheng, Pei Quan, Minglong Lei, Yang Xiao, Lingfeng Niu
2021 — conf
A survey of sparse regularization based compression methods.
ITQM
Anda Tang, Pei Quan, Lingfeng Niu, Yong Shi
2021 J jnl
Distant Supervision Relation Extraction via adaptive dependency-path and additional knowledge graph supervision.
Neural Networks
Yong Shi, Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu
2021 J jnl
Document-level relation extraction via graph transformer networks and temporal convolutional networks.
Pattern Recognit. Lett.
Yong Shi, Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu
2021 J jnl
SKNet: Detecting Rotated Ships as Keypoints in Optical Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Zhenyu Cui, Jiaxu Leng, Ying Liu, Tianlin Zhang, Pei Quan, Wei Zhao
2020 J jnl
Robust Obstacle Detection and Recognition for Driver Assistance Systems.
IEEE Trans. Intell. Transp. Syst.
Jiaxu Leng, Ying Liu, Dawei Du, Tianlin Zhang, Pei Quan
2019 — conf
A Brief Review of Receptive Fields in Graph Convolutional Networks.
WI (Companion)
Pei Quan, Yong Shi, Minglong Lei, Jiaxu Leng, Tianlin Zhang, Lingfeng Niu
2019 — conf
A Novel Neuron Connection Model Mimicking Human Beings.
BIBM
Jiaxu Leng, Zhenyu Cui, Chao Xiang, Tianlin Zhang, Pei Quan
2019 — conf
Alzheimer's Disease Diagnosis Using Enhanced Inception Network Based on Brain Magnetic Resonance Image.
BIBM
Zhenyu Cui, Zhiao Gao, Jiaxu Leng, Tianlin Zhang, Pei Quan, Wei Zhao
2019 — conf
Big Data Analysis: Theory and Applications.
LSSC
Yong Shi, Pei Quan
2019 — conf
Review of bankruptcy prediction using machine learning and deep learning techniques.
ITQM
Yi Qu, Pei Quan, Minglong Lei, Yong Shi
2018 — conf
A Novel Data Mining Approach Towards Human Resource Performance Appraisal.
ICCS (2)
Pei Quan, Ying Liu, Tianlin Zhang, Yueran Wen, Kaichao Wu, Hongbo He, Yong Shi
2018 — conf
A Novel Parsing-Based Automatic Domain Terminology Extraction Method.
ICCS (3)
Ying Liu, Tianlin Zhang, Pei Quan, Yueran Wen, Kaichao Wu, Hongbo He
2018 — conf
Automatic Chinese Multiple-Choice Question Generation for Human Resource Performance Appraisal.
ITQM
Pei Quan, Yong Shi, Lingfeng Niu, Ying Liu, Tianlin Zhang
2018 — conf
Context Learning Network for Object Detection.
ICDM Workshops
Jiaxu Leng, Ying Liu, Tianlin Zhang, Pei Quan
2018 — conf
Context-Aware U-Net for Biomedical Image Segmentation.
BIBM
Jiaxu Leng, Ying Liu, Tianlin Zhang, Pei Quan, Zhenyu Cui
2018 — conf
Domain specific automatic Chinese multiple-type question generation.
BIBM
Tianlin Zhang, Ying Liu, Pei Quan