基本信息

雷名龙，副教授，硕士生导师，44118太阳成城、北京人工智能研究院教师。2019年毕业于中国科公司大学，获工学博士学位。担任中国计算机学会网络与系统安全专委会执委、中国图学学会可视化与认知计算专委会执委、中国国土经济学会智慧国土专委会委员。担任《大数据》期刊、《Transportation Safety and Environment》期刊青年编委。主持国家自然科学基金、北京市自然科学基金等多项纵向课题。在国内外人工智能与数据挖掘著名期刊与会议上发表论文40余篇。

研究方向

机器学习、图数据挖掘、时空数据分析

主要科研项目

1.国家自然科学基金专项项目，2023.01-2023.12，主持，已结题

2.北京市自然科学基金面上项目，2022.01-2024.12，主持，已结题

近五年代表性成果

[1] Hongwei Wen, Can Zhang, Haoyu He, Hanyuan Hang,Minglong Lei*. Progressive Graph Structure Adjustment for Homophily Shift Adaptation. The 43rd International Conference on Machine Learning (ICML), 2026. (CCF A,Spotlight: Top 2.2%)

[2]Minglong Lei, Can Zhang, Hao Jia, and Junzhong Ji. Subgraph Neural Networks with Multi-Scale Contrastive Learning for Graph Classification. IEEE Transactions on Emerging Topics in Computational Intelligence, 2026. (SCI, JCR Q1)

[3] Can Zhang,Minglong Lei*. MuDiS-GDA: Multiscale Discriminative Graph Domain Adaptation. Neural Networks,2026. (SCI, JCR Q1)

[4] Zhengxi Yang, Lingfeng Niu,Minglong Lei*. Graph Transformer with High-Degree Nodes Anchoring for Graph Partitioning. Neural Networks, 2026. (SCI, JCR Q1)

[5] Rui-Bin Zeng†, Mo-Xuan Yang†,Ming-Long Lei†, Ling-Feng Niu, Yu-Hong Dai. A Universal Framework for Vehicle Routing Problems with Large Language Models. Journal of the Operations Research Society of China (中国运筹学会会刊英文版), 2026. (ESCI,中国数学会T1)

[6] Sicheng He, Junzhong Ji,Minglong Lei*. Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction. The 39th AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF A, Acceptance Rate: 23.4%)

[7] Junzhong Ji, Jing He,Minglong Lei*, Muhua Wang, Wei Tang. Spatio-Temporal Transformer Network for Weather Forecasting. IEEE Transactions on Big Data, 2025. (SCI, JCR Q1)

[8] Jing He, Junzhong Ji,Minglong Lei*. Spatio-Temporal Transformer Network with Physical Knowledge Distillation for Weather Forecasting.The 33rd ACM International Conference on Information and Knowledge Management (CIKM), 2024. (CCF B, Acceptance Rate: 23.0%)

[9] Junzhong Ji, Runfeng Zhao,Minglong Lei*. Latent diffusion transformer for point cloud generation. The Visual Computer, 2024. (SCI, JCR Q2)

[10] Ruibin Zeng†,Minglong Lei†, Lingfeng Niu†, Lan Cheng. A Unified Pre-Training and Adaptation Framework for Combinatorial Optimization on Graphs. Science China Mathematics (中国科学:数学英文版), 2024. (SCI,中国数学会T1)

[11] Junzhong Ji, Hao Jia, Yating Ren,Minglong Lei*. Supervised Contrastive Learning with Structure Inference for Graph Classification. IEEE Transactions on Network Science and Engineering, 2023. (SCI, JCR Q1)

[12] Junzhong Ji, Fan Yu,Minglong Lei*. Self-Supervised Spatiotemporal Graph Neural Networks with Self-Distillation for Traffic Prediction. IEEE Transactions on Intelligent Transportation Systems, 2023. (SCI, JCR Q1)

[13] Chenxi Song, Lingfeng Niu,Minglong Lei*. Two-level Adversarial Attacks for Graph Neural Networks. Information Sciences, 2023. (SCI, JCR Q1)

[14]Minglong Lei, Pei Quan, Rongrong Ma, Yong Shi, Lingfeng Niu*. DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation. IEEE Transactions on Cybernetics, 2022. (SCI, JCR Q1)

[15] Junzhong Ji, Yating Ren,Minglong Lei*. FC-HAT: Hypergraph Attention Network for Functional Brain Network Classification. Information Sciences, 2022. (SCI, JCR Q1)

[16] Jiabin Liu, Biao Li*,Minglong Lei*, Yong Shi. Self-Supervised Knowledge Distillation for Complementary Label Learning. Neural Networks, 2022. (SCI, JCR Q1)

[17] Junzhong Ji, Ye Liang,Minglong Lei*. Deep Attributed Graph Clustering with Self-Separation Regularization and Parameter-Free Cluster Estimation. Neural Networks, 2021. (SCI, JCR Q1)

联系方式

E-mail：leiml@bjut.edu.cn

地址：44118太阳成城理科楼，北京人工智能研究院M813