基本情况

雷名龙，副教授，硕士生导师，信息学部计算机学院、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。主持国家自然科学基金专项项目、北京市自然科学基金面上项目等纵向课题。在IEEE汇刊等国际期刊上发表论文20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，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.

2.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.

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.

代表性成果

学术主页：https://scholar.google.com.hk/citations?user=JTFDgGUAAAAJ&hl=zh-CN

1. Chengxi Song, Lingfeng Niu,Minglong Lei*. Two-level adversarial attacks for graph neural networks.Information Sciences, 654:119877, 2024.

2. Ruibin Zeng^†, Minglong Lei^†, Lingfeng Niu^†, and Lan Cheng*. A unified pre-training and adaptation framework for combinatorial optimization on graphs.SCIENCE CHINA Mathematics, 2024.

3. Junzhong Ji, Fan Yu,Minglong Lei*. Self-Supervised Spatiotemporal Graph Neural Networks with Self-Distillation for Traffic Prediction.IEEE Transactions on Intelligent Transportation Systems. 24(2):1580–1593, 2023.

4. Junzhong Ji, Hao Jia, Yating Ren,Minglong Lei*. Supervised contrastive learning with structure inference for graph classification.IEEE Transactions on Network Science and Engineering,10(3):1684–1695, 2023.

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

6. Junzhong Ji, Yating Ren,Minglong Lei*. FC-HAT: Hypergraph Attention Network for Functional Brain Network Classification.Information Sciences, 608, 1301-1316, 2022.

7. Jiabin Liu, Biao Li*,Minglong Lei*, Yong Shi. Self-supervised knowledge distillation for complementary label learning.Neural Networks, 155, 318-327, 2022.

8. Junzhong Ji, Ye Liang,Minglong Lei*. Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation.Neural Networks, 142, 522-533, 2021.

联系方式

E-mail：leiml@bjut.edu.cn

地址：北京工业大学理科楼，北京人工智能研究院M813