Minglong Lei
Minglong Lei
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Review of bankruptcy prediction using machine learning and deep learning techniques
Y Qu, P Quan, M Lei, Y Shi
Procedia Computer Science 162, 895-899, 2019
Diffusion network embedding
Y Shi, M Lei, H Yang, L Niu
Pattern Recognition 88, 518-531, 2019
Distant supervision relation extraction via adaptive dependency-path and additional knowledge graph supervision
Y Shi, Y Xiao, P Quan, M Lei, L Niu
Neural Networks 134, 42-53, 2021
FC–HAT: Hypergraph attention network for functional brain network classification
J Ji, Y Ren, M Lei
Information Sciences 608, 1301-1316, 2022
Document-level relation extraction via graph transformer networks and temporal convolutional networks
Y Shi, Y Xiao, P Quan, ML Lei, L Niu
Pattern Recognition Letters 149, 150-156, 2021
A brief review of receptive fields in graph convolutional networks
P Quan, Y Shi, M Lei, J Leng, T Zhang, L Niu
IEEE/WIC/ACM International Conference on Web Intelligence-Companion Volume …, 2019
Self-supervised spatiotemporal graph neural networks with self-distillation for traffic prediction
J Ji, F Yu, M Lei
IEEE Transactions on Intelligent Transportation Systems 24 (2), 1580-1593, 2022
DigGCN: Learning compact graph convolutional networks via diffusion aggregation
M Lei, P Quan, R Ma, Y Shi, L Niu
IEEE Transactions on Cybernetics 52 (2), 912-924, 2020
Exploring brain effective connectivity networks through spatiotemporal graph convolutional models
A Zou, J Ji, M Lei, J Liu, Y Song
IEEE Transactions on Neural Networks and Learning Systems, 2022
Relation constraint self-attention for image captioning
J Ji, M Wang, X Zhang, M Lei, L Qu
Neurocomputing 501, 778-789, 2022
Discrete embedding for latent networks
H Yang, L Chen, M Lei, L Niu, C Zhou, P Zhang
International Joint Conference on Artificial Intelligence, 2021
Self-supervised knowledge distillation for complementary label learning
J Liu, B Li, M Lei, Y Shi
Neural Networks 155, 318-327, 2022
Multi-task self-distillation for graph-based semi-supervised learning
Y Ren, J Ji, L Niu, M Lei
arXiv preprint arXiv:2112.01174, 2021
Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation
J Ji, Y Liang, M Lei
Neural Networks 142, 522-533, 2021
A brief survey for fake news detection via deep learning models
J Li, M Lei
Procedia Computer Science 214, 1339-1344, 2022
Optimization strategies in quantized neural networks: A review
Y Lin, M Lei, L Niu
2019 International Conference on Data Mining Workshops (ICDMW), 385-390, 2019
Supervised contrastive learning with structure inference for graph classification
J Ji, H Jia, Y Ren, M Lei
IEEE Transactions on Network Science and Engineering, 2023
Latent neighborhood-based heterogeneous graph representation
Y Xiao, P Quan, ML Lei, L Niu
Neural Networks 154, 413-424, 2022
The applications of stochastic models in network embedding: A survey
M Lei, Y Shi, L Niu
2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 635-638, 2018
Graph influence network
Y Shi, P Quan, Y Xiao, M Lei, L Niu
IEEE Transactions on Cybernetics, 2022
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