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陈劲松

特任副研究员

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陈劲松

特任副研究员

访问量：

最后更新时间：--

基本信息

所在单位：人工智能教育学部
办公地点：南湖综合楼8037
性别：男
联系方式：
职称：特任副研究员
在职信息：在职
所属院系：人工智能教育学部
学科：计算机软件与理论
招生学科：计算机应用技术、计算机软件与理论

个人简介

博士毕业于华中科技大学计算机科学与技术学院。博士期间的研究方向为图表征学习和图数据挖掘。相关研究论文发表于国际会议ICLR、NeurIPS、ICDM以及国际期刊TBD、TCSS、KBS、KAIS等。担任人工智能领域国际会议ICML、ICLR、NeurIPS和国际期刊TPAMI、TNNLS、TKDE的审稿人。

详情见主页 https://guangnianchenai.github.io/

工作经历

2025.07 ~ 至今
华中师范大学一人工智能教育学部一特任副研究员

社会兼职

期刊审稿人：IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Intelligent Transportation Systems (TITS), IEEE Transactions on Computational Social Systems (TCSS), Machine Intelligence Research, Knowledge-based Systems, Information Fusion等。
会议审稿人：NeurIPS, ICML, ICLR, AISTATS, IJCAI, KDD, MM, ECAI等。

陈劲松

特任副研究员

陈劲松

特任副研究员

基本信息

个人简介

工作经历

社会兼职

研究方向

图表征学习

图数据挖掘

智慧教育

教育教学

科学研究

论文成果

.Jinsong Chen, Chenyang Li, Gaichao Li, John E Hopcroft, Kun He. Rethinking Tokenized Graph Transformer for Node Classification. Proceedings of the Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.

.Jinsong Chen, Hanpeng Liu, John E Hopcroft, Kun He. Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers. Proceedings of the Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.

.Jinsong Chen, Kaiyuan Gao, Gaichao Li, Kun He. NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs. Proceedings of the International Conference on Learning Representations (ICLR), 2023.

.Jinsong Chen, Boyu Li, Kun He. Neighborhood Convolutional Graph Neural Network. Knowledge-based Systems. 295.2024. 111861.

.Jinsong Chen, Chang Liu, Kaiyuan Gao, Gaichao Li, Kun He. NAGphormer+: A Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs. IEEE Transactions on Big Data. DOI: 10.1109/TBDATA.2024.3524081.

.Jinsong Chen, Boyu Li, Qiuting He, Kun He. PAMT: A Novel Propagation-Based Approach via Adaptive Similarity Mask for Node Classification. IEEE Transactions on Computational Social Systems. DOI: 10.1109/TCSS.2024.3387487.

.Jinsong Chen, Siyu Jiang, Kun He. NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification. IEEE Transactions on Big Data, 2025.

.Jinsong Chen, Meng Wang, Kun He. Hybrid Long-Range Dependency-Aware Graph Convolutional Network for Node Classification. Knowledge and Information Systems, 2025.

.Gaichao Li, Jinsong Chen, Yangzhe Peng, Kun He. Tokenized Heterogeneous Graph Transformers with Enhanced Local and Global Representation Learning. ACM Transactions on Knowledge Discovery from Data, 2026. (共同一作)

.Gaichao Li, Jinsong Chen, Kun He. GTPool: Graph Transformer Pooling with Diverse Sampling. IEEE Transactions on Big Data. DOI: 10.1109/TBDATA.2025.3588080. (共同一作)

.Qiuting He, Jinsong Chen, Kun He. Structural Robust Label Propagation on Homogeneous Graphs. Proceedings of the IEEE International Conference on Data Mining (ICDM), 2022. (共同一作)

.陈劲松,孟祥武,纪威宇,张玉洁.基于多维上下文感知图嵌入模型的兴趣点推荐. 软件学报, 2020:031-012.

专利成果

TBD.