我目前是浙江师范大学计算机科学与技术专业的博士生，2021年入学，师从黄昌勤教授。

2021年，我在中国计量大学获得应用数学理学硕士学位，在曹飞龙教授组内完成计算机视觉相关的硕士毕业论文。

我的研究兴趣包括图机器学习、超图计算和智能教育。

代表作

• Li M, Gu Y, Wang Y(通讯), Fang Y, Bai L, Zhuang X, Pietro Lio. “When hypergraph meets heterophily: New benchmark datasets and baseline” is accepted by AAAI 2025.

• Li M, Fang Y, Wang Y(通讯), Feng H, Gu Y, Bai L, Pietro Lio. “Deep hypergraph neural networks with tight framelets” is accepted by AAAI 2025.

• Wang Y, Huang C, Li M, Huang Q, Wu X, Wu J. AG-Meta: Adaptive graph meta-learning via representation consistency over local subgraphs. Pattern Recognition, 2024, 151: 110387.

• Huang C, Wang Y, Jiang Y, Li M, Huang X, Wang S, Pan S, Zhou C. Flow2GNN: Flexible two-way flow message passing for enhancing GNNs beyond homophily. IEEE Transactions on Cybernetics, 2024, 54(11): 6607-6618.

• Wang Y, Ye H, Cao F. A novel multi-discriminator deep network for image segmentation. Applied Intelligence, 2022, 52(1): 1092-1109.

• Gu Y, Wang Y(通讯), Zhang H, Wu J, Gu X. Enhancing text classification by graph neural networks with multi-granular topic-aware graph. IEEE Access, 2023, 11: 20169-20183.

• Zheng X, Wang Y(共一), Liu Y, Li M, Zhang M, Jin D, Philip S. Yu, Pan S. Graph neural networks for graphs with heterophily: A survey. arXiv preprint arXiv:2202.07082, 2022.

• Ye H, Wang Y, Cao F. A novel meta-learning framework: Multi-features adaptive aggregation method with information enhancer. Neural Networks, 2021, 144: 755-765.