Minglong Lei

Logo Associate Professor, Beijing University of Technology (2023-Now)

I am currently an associate professor at the Beijing University of Technology. I received my Ph.D. in computer science at the University of Chinese Academy of Sciences, advised by Professor Yong Shi. Before that, I participated in the Joint Master Programme at the Institute of Psychology, Chinese Academy of Sciences, advised by Professor Tingshao Zhu. My research interests include graph machine learning, spatio-temporal analysis, and representation learning.

Google Scholar ORCID
Students
Postgraduate Students
BJUT: Qiurui Huang
2024-Now
BJUT: Sicheng He, Can Zhang; UCAS: Ziyang Zhang
2023-Now
UCAS: Zhengxi Yang
2022-Now
UCAS: Ruibin Zeng, Chengxi Song
2021-Now
Graduated Students
BJUT: Jing He (M.S.), Runfeng Zhao (M.S.)
2022-2024
BJUT: Hao Jia (M.S.)
2021-2023
BJUT: Yating Ren (M.S.), Fan Yu (M.S.), Le Yu (M.S.)
2020-2022
BJUT: Ye Liang (M.S.)
2019-2021
Selected Publications View All
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)

Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction
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)

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

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]

Spatio-Temporal Transformer Network for Weather Forecasting
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]

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]

Supervised Contrastive Learning With Structure Inference for Graph Classification
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 Spatiotemporal Graph Neural Networks With Self-Distillation for Traffic Prediction
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]

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]

DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation
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)

Discrete embedding for latent networks
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]

Diffusion network embedding
Diffusion network embedding

Yong Shi, Minglong Lei, Hong Yang, Lingfeng Niu

Pattern Recognition (PR) 2019

[Paper] [DOI]

Academic Services

Journal Reviewer: IEEE TKDE, IEEE TNNLS, IEEE TCYB, IEEE TITS, PR, ESWA, KBS, TRC.

Conference Services: PC Member of IJCAI 2025, ICDMW 2019-2024; Workshop Co-Chair of ITQM 2022-2024; Local Activity Committee of ICCS 2018; Area Chair of IJCNN 2025.