Minglong Lei
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.
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Multi-Scale Spatio-Temporal Transformers with Prompt Learning for Traffic Prediction
Ruibin Zeng, Lingfeng Niu, Minglong Lei#, Yu-Hong Dai (# corresponding author)
IEEE Transactions on Vehicular Technology (IEEE TVT) 2026
Progressive Graph Structure Adjustment for Homophily Shift Adaptation
Hongwei Wen, Can Zhang, Haoyu He, Hanyuan Hang, Minglong Lei# (# corresponding author)
The 43rd International Conference on Machine Learning (ICML 2026, Spotlight)
Subgraph Neural Networks with Multi-Scale Contrastive Learning for Graph Classification
Minglong Lei, Can Zhang, Hao Jia, Junzhong Ji
IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI) 2026
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 for Weather Forecasting
Junzhong Ji, Jing He, Minglong Lei#, Muhua Wang, Wei Tang (# corresponding author)
IEEE Transactions on Big Data (IEEE TBD) 2024
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
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
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
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
Academic Services
Journal Service: Transportation Safety and Environment (Youth Editorial Board Member).
Journal Reviewer: IEEE TKDE, IEEE TIFS, IEEE TNNLS, IEEE TCYB, IEEE TITS, IEEE TSMC, IEEE TETCI, PR, NN, ESWA, KBS, TR-C, 计算机学报, 运筹学报, 中国科学: 信息科学.
Conference Service: ITQM'24- (Track Chair), IJCNN'25- (Area Chair).
Conference Reviewer: IJCAI'25-, KDD'25- (Outstanding Reviewer (Top 10%)), ICCV'25-, AAAI'25-, WWW'25-, MICCAI'25-, ECAI'25-.