王业江（Yejiang Wang）

王业江（Yejiang Wang）

Short biography for the left-hand sidebar

个人简历

教育经历

2021年9月-2025年12月，东北大学大学计算机科学与技术专业，博士学位

2018年9月-2021年6月，东北大学计算机系统结构专业，硕士学位

2013年9月-2017年6月，东北大学电子信息工程专业，学士学位

工作经历

2026年1月至今，厦门大学人工智能研究院，助理教授

科研领域

主要研究方向包括图基础大模型、多标签学习与具身智能。在 IEEE TPIMI、NeurIPS、ICML、WWW、KDD、AAAI、IJCAI 、ICDE等国际顶级期刊与会议发表论文 20 余篇，其中第一作者/通讯作者 10 余篇。获冶金学会优秀硕士毕业论文、东北大学十佳研究生（五四奖章）、东北大学优秀毕业生等荣誉。

代表性论文

[1] Wang, Y., Zhao, Y., Wang, Z., Zhang, C., & Wang, X. (2024). Robust multi-graph multi-label learning with dual-granularity labeling. *IEEE Transactions on Pattern Analysis and Machine Intelligence. [TPAMI, CCF-A, IF: 20.4]

[2] Wang, Y., Zhao, Y., Wang, Z., Pan, S., Wang, X., et al. (2025). Equivalence is all: A unified view for self-supervised graph learning. In *International Conference on Machine Learning. [ICML Oral | Top 1%, CCF-A]

[3] Wang, Y., Zhao, Y., Wang, Z., Pan, S., Wang, X., et al. (2025). N2GON: Neural networks for graph-of-net with position awareness. In *International Conference on Machine Learning. [ICML, CCF-A]

[4] Wang, Y., Zhao, Y., Wang, Z., & Li, L. (2023). GALOPA: Graph transport learning with optimal plan alignment. In *Conference on Neural Information Processing Systems. [NeurIPS, CCF-A]

[5] Wang, Y., Zhao, Y., Wang, Z., Shan, W., & Wang, X. (2024). Limited-supervised multi-label learning with dependency noise. In *AAAI Conference on Artificial Intelligence. [AAAI, CCF-A]

[6] Wang, Y., Zhao, Y., Wang, Z., & Wang, M. (2023). Robust self-supervised multi-instance learning with structure awareness. In *AAAI Conference on Artificial Intelligence. [AAAI, CCF-A]

[7] Zhao, Y., Wang, Y.*, Wang, Z., Shan, W., & Wang, X. (2025). Graph contrastive learning with progressive augmentations. In ACM SIGKDD Conference on Knowledge Discovery and Data Mining. [KDD, CCF-A]

[8] Zhao, Y., Wang, Y.*, Wang, Z., Shan, W., & Wang, X. (2024). Towards robust multi-label learning against dirty label noise. In International Joint Conference on Artificial Intelligence. [IJCAI, CCF-A]

[9] Zhao, Y., Wang, Y., Wang, Z., & Zhang, C. (2021). Multi-graph multi-label learning with dual-granularity labeling. In *ACM SIGKDD Conference on Knowledge Discovery and Data Mining. [KDD, CCF-A]

[10] Wang, Y., Zhao, Y., Li, F., Wang, J., Wang, Z., & Pan, S. (2026). Graph-to-tree: Topological decomposition for self-supervised learning. In *International World Wide Web Conference. [WWW, CCF-A]