Minglong Lei

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Additional Knowledge

Stochastic Model

Graph Representations

Top Venues

Neural Networks

IEEE Trans. Cybern.

Publications

Junzhong Ji, Runfeng Zhao, Minglong Lei
Latent diffusion transformer for point cloud generation. Vis. Comput. 40 (6) (2024)
Chengxi Song, Lingfeng Niu, Minglong Lei
Two-level adversarial attacks for graph neural networks. Inf. Sci. 654 (2024)
Aixiao Zou, Junzhong Ji, Minglong Lei, Jinduo Liu, Yongduan Song
Exploring Brain Effective Connectivity Networks Through Spatiotemporal Graph Convolutional Models. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Junzhong Ji, Hao Jia, Yating Ren, Minglong Lei
Supervised Contrastive Learning With Structure Inference for Graph Classification. IEEE Trans. Netw. Sci. Eng. 10 (3) (2023)
Can Zhang, Minglong Lei
A Survey on Spatio-Temporal Graph Neural Networks for Traffic Forecasting. ICDM (Workshops) (2023)
Ruibin Zeng, Minglong Lei, Lingfeng Niu, Lan Cheng
A Unified Pre-training and Adaptation Framework for Combinatorial Optimization on Graphs. CoRR (2023)
Yong Shi, Pei Quan, Yang Xiao, Minglong Lei, Lingfeng Niu
Graph Influence Network. IEEE Trans. Cybern. 53 (10) (2023)
Junzhong Ji, Fan Yu, Minglong Lei
Self-Supervised Spatiotemporal Graph Neural Networks With Self-Distillation for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. 24 (2) (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)
Hao Jia, Junzhong Ji, Minglong Lei
Supervised Contrastive Learning with Structure Inference for Graph Classification. CoRR (2022)
Junzhong Ji, Mingzhan Wang, Xiaodan Zhang, Minglong Lei, Liangqiong Qu
Relation constraint self-attention for image captioning. Neurocomputing 501 (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)
Jia Li, Minglong Lei
A Brief Survey for Fake News Detection via Deep Learning Models. ITQM (2022)
Jiabin Liu, Biao Li, Minglong Lei, Yong Shi
Self-supervised knowledge distillation for complementary label learning. Neural Networks 155 (2022)
Junzhong Ji, Yating Ren, Minglong Lei
FC-HAT: Hypergraph attention network for functional brain network classification. Inf. Sci. 608 (2022)
Yating Ren, Junzhong Ji, Lingfeng Niu, Minglong Lei
Multi-task Self-distillation for Graph-based Semi-Supervised Learning. CoRR (2021)
Minglong Lei, Yong Shi, Lingfeng Niu
Latent Network Embedding via Adversarial Auto-encoders. CoRR (2021)
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)
Junzhong Ji, Ye Liang, Minglong Lei
Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation. Neural Networks 142 (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)
Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang
Discrete Embedding for Latent Networks. IJCAI (2020)
Yuhan Lin, Minglong Lei, Lingfeng Niu
Optimization Strategies in Quantized Neural Networks: A Review. ICDM Workshops (2019)
Yong Shi, Minglong Lei, Hong Yang, Lingfeng Niu
Diffusion network embedding. Pattern Recognit. 88 (2019)
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, Minglong Lei, Rongrong Ma, Lingfeng Niu
Learning Robust Auto-Encoders With Regularizer for Linearity and Sparsity. IEEE Access 7 (2019)
Yi Qu, Pei Quan, Minglong Lei, Yong Shi
Review of bankruptcy prediction using machine learning and deep learning techniques. ITQM (2019)
Minglong Lei, Yong Shi, Peijia Li, Lingfeng Niu
Deep Streaming Graph Representations. ICCS (3) (2018)
Minglong Lei, Yong Shi, Lingfeng Niu
The Applications of Stochastic Models in Network Embedding: A Survey. WI (2018)
Yong Shi, Minglong Lei, Peng Zhang, Lingfeng Niu
Diffusion Based Network Embedding. CoRR (2018)