Wang Yi

Wang Yi

Postdoc, CityU

中文

我目前是香港城市大学的博士后研究员，2025年入职，导师为庄晓生教授。

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。 2025年，我在浙江师范大学获得计算机科学与技术工学博士学位，在黄昌勤教授组内完成异配图表征学习相关的博士毕业论文。

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, Wang Y(通讯), Chengling Gao, Lu Bai, Yujie Fang, Xiaosheng Zhuang, Pietro Lio. Permutation Equivariant Framelet-based Hypergraph Neural Networks is accepted by AAAI 2026 (Oral).

  • Huang C, Sun J, Zha L, Wang Y(通讯), Huang X. Beyond Homophily: Adaptive Cross-Frequency Convolution for Hypergraph Learning[J]. Knowledge-Based Systems, 2026, 115064.

  • Yang J, Wang Y(通讯), Huang C, Huang Q, Huang X. CuGNN: cross-perspective contrastive learning for enhancing unsupervised GNNs beyond homophily. International Journal of Machine Learning and Cybernetics, 2026.

  • Wang Y, Huang C, Li M, Cai T, Zheng Z, Huang X. All roads lead to rome: Integrating out-of-distribution detection into heterophilic graph learning. IJCAI, 2025: 6487–6495.

  • 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. AAAI, 2025, 39(17): 18377-18384.

  • Li M, Fang Y, Wang Y(通讯), Feng H, Gu Y, Bai L, Pietro Lio. Deep hypergraph neural networks with tight framelets. AAAI, 2025, 39(17): 18385-18392. (Oral)

  • Cai T, Jiang Y, Li M, Huang C, Wang Y, Huang Q. ML-GOOD: Towards multi-label graph out-of-distribution detection. AAAI, 2025, 39(15): 15650-15658.

  • Wang Y, Huang C, Li M, Huang Q, Wu X, Wu J. AG-Meta: Adaptive graph meta-learning via representation consistency over local subgraphs[J]. 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[J]. IEEE Transactions on Cybernetics, 2024, 54(11): 6607-6618.

  • 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. (IEEE TKDE, Under Review)

  • Cai T, Jiang Y, Li M, Bai L, Huang C, Wang Y. HyperNear: Unnoticeable node injection attacks on hypergraph neural networks. ICML, 2025.

  • Guo C, Wang X, Huang C, Wang Y, Gao C, Huang X. Multi-label feature selection via exploring reliable instance similarities is accepted by Knowledge-Based Systems. 2025. 113700.

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

  • 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.

  • Huang C, Zhang J, Wu X, Wang Y, Li M, Huang X. TeFNA: Text-centered fusion network with crossmodal attention for multimodal sentiment analysis[J]. Knowledge-Based Systems, 2023, 269: 110502.

  • Huang C, Yu J, Wu F, Wang Y, Chen N. Uncovering emotion sequence patterns in different interaction groups using deep learning and sequential pattern mining[J]. Journal of Computer Assisted Learning, 2024, 40(4): 1777-1790.

  • Huang Q, Chen J, Huang C, Huang X, Wang Y. Text-centered cross-sample fusion network for multimodal sentiment analysis[J]. Multimedia Systems, 2024, 30(4): 228.