Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction

Sicheng He, Junzhong Ji, Minglong Lei^# (^# corresponding author)

The 39th AAAI Conference on Artificial Intelligence (AAAI 2025)

Spatio-Temporal Transformer Network with Physical Knowledge Distillation for Weather Forecasting

Jing He, Junzhong Ji, Minglong Lei^# (^# corresponding author)

The 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024)

Decomposed Latent Diffusion Model for 3D Point Cloud Generation

Runfeng Zhao, Junzhong Ji, Minglong Lei^# (^# corresponding author)

The 7th Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2024)

Latent Diffusion Transformer for Point Cloud Generation

Junzhong Ji, Runfeng Zhao, Minglong Lei^# (^# corresponding author)

The Visual Computer 2024

[Paper] [DOI]

Spatio-Temporal Transformer Network for Weather Forecasting

Junzhong Ji, Jing He, Minglong Lei^#, Muhua Wang, Wei Tang (^# corresponding author)

IEEE Transactions on Big Data (IEEE TBD) 2024

[Paper] [DOI]

A unified pre-training and adaptation framework for combinatorial optimization on graphs

Ruibin Zeng*, Minglong Lei*, Lingfeng Niu*, Lan Cheng (* equal contribution)

Science China Mathematics 2023

[Paper] [DOI]

Two-level adversarial attacks for graph neural networks

Chengxi Song, Lingfeng Niu, Minglong Lei^# (^# corresponding author)

Information Sciences 2023

[Paper] [DOI]

Supervised Contrastive Learning With Structure Inference for Graph Classification

Junzhong Ji, Hao Jia, Yating Ren, Minglong Lei^# (^# corresponding author)

IEEE Transactions on Network Science and Engineering (IEEE TNSE) 2023

[Paper] [DOI]

Self-Supervised Spatiotemporal Graph Neural Networks With Self-Distillation for Traffic Prediction

Junzhong Ji, Fan Yu, Minglong Lei^# (^# corresponding author)

IEEE Transactions on Intelligent Transportation Systems (IEEE TITS) 2022

[Paper] [DOI]

Self-supervised knowledge distillation for complementary label learning

Jiabin Liu, Biao Li^#, Minglong Lei^#, Yong Shi (^# corresponding author)

Neural Networks 2022

[Paper] [DOI]

FC–HAT: Hypergraph attention network for functional brain network classification

Junzhong Ji, Yating Ren, Minglong Lei^# (^# corresponding author)

Information Sciences 2022

[Paper] [DOI]

Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation

Junzhong Ji, Ye Liang, Minglong Lei^# (^# corresponding author)

Neural Networks 2021

[Paper] [DOI]

DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation

Minglong Lei, Pei Quan, Rongrong Ma, Yong Shi, Lingfeng Niu

IEEE Transactions on Cybernetics (IEEE TCYB) 2020

[Paper] [DOI]

Discrete embedding for latent networks

Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang

The 29th International Conference on International Joint Conferences on Artificial Intelligence (IJCAI 2020)

Diffusion network embedding

Yong Shi, Minglong Lei, Hong Yang, Lingfeng Niu

Pattern Recognition (PR) 2019

[Paper] [DOI]