Deep Streaming Graph Representations. - Minglong Lei; Yong Shi 001; Peijia Li; Lingfeng Niu (ICCS (3), 2018)

The Applications of Stochastic Models in Network Embedding: A Survey. - Minglong Lei; Yong Shi 001; Lingfeng Niu (WI, 2018)

Diffusion Based Network Embedding. - Yong Shi 001; Minglong Lei; Peng Zhang 001; Lingfeng Niu (CoRR, 2018)

Optimization Strategies in Quantized Neural Networks: A Review. - Yuhan Lin; Minglong Lei; Lingfeng Niu (ICDM Workshops, 2019)

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

Learning Robust Auto-Encoders With Regularizer for Linearity and Sparsity. - Yong Shi 001; Minglong Lei; Rongrong Ma; Lingfeng Niu (IEEE Access, 2019)

Diffusion network embedding. - Yong Shi 001; Minglong Lei; Hong Yang 003; Lingfeng Niu (Pattern Recognit., 2019)

Discrete Embedding for Latent Networks. - Hong Yang 003; Ling Chen 006; Minglong Lei; Lingfeng Niu; Chuan Zhou 001; Peng Zhang 001 (IJCAI, 2020)

Latent Network Embedding via Adversarial Auto-encoders. - Minglong Lei; Yong Shi 001; Lingfeng Niu (CoRR, 2021)

Multi-task Self-distillation for Graph-based Semi-Supervised Learning. - Yating Ren; Junzhong Ji; Lingfeng Niu; Minglong Lei (CoRR, 2021)

Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation. - Junzhong Ji; Ye Liang; Minglong Lei (Neural Networks, 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)

A Brief Survey for Fake News Detection via Deep Learning Models. - Jia Li; Minglong Lei (ITQM, 2022)

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

Supervised Contrastive Learning with Structure Inference for Graph Classification. - Hao Jia; Junzhong Ji; Minglong Lei (CoRR, 2022)

Relation constraint self-attention for image captioning. - Junzhong Ji; Mingzhan Wang; Xiaodan Zhang 003; Minglong Lei; Liangqiong Qu (Neurocomputing, 2022)

FC-HAT: Hypergraph attention network for functional brain network classification. - Junzhong Ji; Yating Ren; Minglong Lei (Inf. Sci., 2022)

Self-supervised knowledge distillation for complementary label learning. - Jiabin Liu; Biao Li 005; Minglong Lei; Yong Shi 001 (Neural Networks, 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)

A Survey on Spatio-Temporal Graph Neural Networks for Traffic Forecasting. - Can Zhang; Minglong Lei (ICDM (Workshops), 2023)

A Unified Pre-training and Adaptation Framework for Combinatorial Optimization on Graphs. - Ruibin Zeng; Minglong Lei; Lingfeng Niu; Lan Cheng (CoRR, 2023)

Supervised Contrastive Learning With Structure Inference for Graph Classification. - Junzhong Ji; Hao Jia; Yating Ren; Minglong Lei (IEEE Trans. Netw. Sci. Eng., 2023)

Self-Supervised Spatiotemporal Graph Neural Networks With Self-Distillation for Traffic Prediction. - Junzhong Ji; Fan Yu; Minglong Lei (IEEE Trans. Intell. Transp. Syst., 2023)

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

Spatio-Temporal Transformer Network with Physical Knowledge Distillation for Weather Forecasting. - Jing He; Junzhong Ji; Minglong Lei (CIKM, 2024)

Decomposed Latent Diffusion Model for 3D Point Cloud Generation. - Runfeng Zhao; Junzhong Ji; Minglong Lei (PRCV (6), 2024)

Two-level adversarial attacks for graph neural networks. - Chengxi Song; Lingfeng Niu; Minglong Lei (Inf. Sci., 2024)

Exploring Brain Effective Connectivity Networks Through Spatiotemporal Graph Convolutional Models. - Aixiao Zou; Junzhong Ji; Minglong Lei; Jinduo Liu 001; Yongduan Song (IEEE Trans. Neural Networks Learn. Syst., 2024)

Latent diffusion transformer for point cloud generation. - Junzhong Ji; Runfeng Zhao; Minglong Lei (Vis. Comput., 2024)

Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction. - Sicheng He; Junzhong Ji; Minglong Lei (AAAI, 2025)

Spatio-Temporal Transformer Network for Weather Forecasting. - Junzhong Ji; Jing He; Minglong Lei; Muhua Wang; Wei Tang (IEEE Trans. Big Data, 2025)