研究方向

人工智能、图机器学习、时空数据分析与处理、生物信息学.

个人简介

雷名龙，男，湖北人，博士，硕士生导师，新浦京澳门棋牌平台计算机学院、北京人工智能研究院教师。2019年毕业于中国科学院大学，获工学博士学位。承担国家自然科学基金、北京市自然科学基金等多项纵向课题，在国内外人工智能领域著名期刊与会议上发表论文20余篇。担任IEEE TKDE、IEEE TNNLS、IEEE TCYB、Transportation Research Part C、Pattern Recognition、Neural Networks等国际期刊的审稿人。

科研项目

1. 北京市自然科学基金面上项目，基于轻量级时空图神经网络的交通预测方法研究，2022-2024，负责人.

2. 国家自然科学基金专项项目，基于多任务图学习的社交网络异常用户检测方法研究，2023.01-2023.12，负责人

3. 北京市朝阳区博士后工作经费资助，基于高阶图卷积神经网络的脑疾病预测方法研究，2020-2021，负责人.

主要论文论著

[1] Minglong Lei, Pei Quan, Rongrong Ma, Yong Shi, Lingfeng Niu*. DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation. IEEE Transactions on Cybernetics, 2022, 52(2), 912-924. (SCI Q1, IF: 19.118)

[2] 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, 24(2), 1580-1593. (SCI Q1, IF: 9.551)

[3] 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 Q1, IF: 5.033)

[4] Junzhong Ji, Yating Ren, Minglong Lei*. FC-HAT: Hypergraph Attention Network for Functional Brain Network Classification. Information Sciences, 2022, 608, 1301-1316. (SCI Q1, IF: 8.233)

[5] Junzhong Ji, Ye Liang, Minglong Lei*. Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation. Neural Networks, 2021, 142, 522-533. (SCI Q1, IF: 9.657)

[6] Jiabin Liu, Biao Li*, Minglong Lei*, Yong Shi. Self-supervised knowledge distillation for complementary label learning. Neural Networks, 2022, 155, 318-327. (SCI Q1, IF: 9.657)

[7] Yong Shi, Minglong Lei, Hong Yang, Lingfeng Niu*. Diffusion network embedding. Pattern Recognition, 2019, 88, 518-531. (SCI Q1, IF: 8.518)

[8] Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang. Discrete embedding for latent networks. Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence, 2020, pp. 1223-1229. (CCF A)