Context-Aware U-Net for Biomedical Image Segmentation. - Jiaxu Leng; Ying Liu 039; Tianlin Zhang; Pei Quan; Zhenyu Cui (BIBM, 2018)

Domain specific automatic Chinese multiple-type question generation. - Tianlin Zhang; Ying Liu 039; Pei Quan (BIBM, 2018)

A Novel Parsing-Based Automatic Domain Terminology Extraction Method. - Ying Liu 039; Tianlin Zhang; Pei Quan; Yueran Wen; Kaichao Wu; Hongbo He (ICCS (3), 2018)

A Novel Data Mining Approach Towards Human Resource Performance Appraisal. - Pei Quan; Ying Liu 039; Tianlin Zhang; Yueran Wen; Kaichao Wu; Hongbo He; Yong Shi 001 (ICCS (2), 2018)

Context Learning Network for Object Detection. - Jiaxu Leng; Ying Liu 039; Tianlin Zhang; Pei Quan (ICDM Workshops, 2018)

Automatic Chinese Multiple-Choice Question Generation for Human Resource Performance Appraisal. - Pei Quan; Yong Shi 001; Lingfeng Niu; Ying Liu 039; Tianlin Zhang (ITQM, 2018)

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 (BIBM, 2019)

A Novel Neuron Connection Model Mimicking Human Beings. - Jiaxu Leng; Zhenyu Cui; Chao Xiang; Tianlin Zhang; Pei Quan (BIBM, 2019)

Review of bankruptcy prediction using machine learning and deep learning techniques. - Yi Qu; Pei Quan; Minglong Lei; Yong Shi 001 (ITQM, 2019)

Big Data Analysis: Theory and Applications. - Yong Shi 001; Pei Quan (LSSC, 2019)

A Brief Review of Receptive Fields in Graph Convolutional Networks. - Pei Quan; Yong Shi 001; Minglong Lei; Jiaxu Leng; Tianlin Zhang; Lingfeng Niu (WI (Companion), 2019)

Robust Obstacle Detection and Recognition for Driver Assistance Systems. - Jiaxu Leng; Ying Liu 039; Dawei Du; Tianlin Zhang; Pei Quan (IEEE Trans. Intell. Transp. Syst., 2020)

A survey of sparse regularization based compression methods. - Anda Tang; Pei Quan; Lingfeng Niu; Yong Shi 001 (ITQM, 2021)

Distant Supervision Relation Extraction via adaptive dependency-path and additional knowledge graph supervision. - Yong Shi 001; Yang Xiao 017; Pei Quan; Minglong Lei; Lingfeng Niu (Neural Networks, 2021)

Document-level relation extraction via graph transformer networks and temporal convolutional networks. - Yong Shi 001; Yang Xiao 017; Pei Quan; Minglong Lei; Lingfeng Niu (Pattern Recognit. Lett., 2021)

SKNet: Detecting Rotated Ships as Keypoints in Optical Remote Sensing Images. - Zhenyu Cui; Jiaxu Leng; Ying Liu 039; Tianlin Zhang; Pei Quan; Wei Zhao (IEEE Trans. Geosci. Remote. Sens., 2021)

Optimal Transport Guided Node Classification in Cross Networks. - Lei Zheng; Pei Quan; Minglong Lei; Yang Xiao 017; Lingfeng Niu (ITQM, 2022)

Concept-cognitive computing system for dynamic classification. - Yunlong Mi; Pei Quan; Yong Shi 001; Zongrun Wang (Eur. J. Oper. Res., 2022)

Latent neighborhood-based heterogeneous graph representation. - Yang Xiao 017; Pei Quan; Minglong Lei; Lingfeng Niu (Neural Networks, 2022)

DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation. - Minglong Lei; Pei Quan; Rongrong Ma; Yong Shi 001; Lingfeng Niu (IEEE Trans. Cybern., 2022)

Graph Influence Network. - Yong Shi 001; Pei Quan; Yang Xiao 017; Minglong Lei; Lingfeng Niu (IEEE Trans. Cybern., 2023)

Prediction of influent wastewater quality based on wavelet transform and residual LSTM. - Wen Zhang 001; Jiangpeng Zhao; Pei Quan; Jiawei Wang; Xiaoyu Meng; Qun Li (Appl. Soft Comput., 2023)

A semi-supervised concept-cognitive computing system for dynamic classification decision making with limited feedback information. - Yunlong Mi; Zongrun Wang; Pei Quan; Yong Shi 001 (Eur. J. Oper. Res., 2024)

Wasserstein distance regularized graph neural networks. - Yong Shi 001; Lei Zheng; Pei Quan; Lingfeng Niu (Inf. Sci., 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., 2024)

Lightweight Deep Learning for Missing Data Imputation in Wastewater Treatment With Variational Residual Auto-Encoder. - Wen Zhang 001; Rui Li; Pei Quan; Jiang Chang; Yongsheng Bai; Bojun Su (IEEE Internet Things J., 2024)

Product return prediction in live streaming e-commerce with cross-modal contrastive transformer. - Wen Zhang 001; Rui Xie; Pei Quan; Zhenzhong Ma (Decis. Support Syst., 2025)

ExGAT: Context extended graph attention neural network. - Pei Quan; Lei Zheng; Wen Zhang 001; Yang Xiao 017; Lingfeng Niu; Yong Shi 001 (Neural Networks, 2025)

A universal network strategy for lightspeed computation of entropy-regularized optimal transport. - Yong Shi 001; Lei Zheng; Pei Quan; Yang Xiao 017; Lingfeng Niu (Neural Networks, 2025)