Zengyi Wo

@inproceedings{liu2026sigir,
  title = {Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment},
  author = {Liu, Yuhang and Shao, Minglai and Wo, Zengyi and Chu, Yunlong and Hao, Bing and Liu, Shengzhong and Wang, Ruijie and Li, Jianxin},
  booktitle = {Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval},
  address = {Melbourne, Australia},
  pages = {1209--1220},
  publisher = {ACM},
  year = {2026},
  doi = {10.1145/3805712.3809579},
}

@inproceedings{hao2026aaai,
  title = {LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs},
  author = {Hao, Bing and Shao, Minglai and Wo, Zengyi and Chu, Yunlong and Liu, Yuhang and Wang, Ruijie},
  booktitle = {Proceedings of the 40th AAAI Conference on Artificial Intelligence},
  address = {Singapore},
  pages = {14802--14810},
  publisher = {AAAI Press},
  year = {2026},
  doi = {10.1609/AAAI.V40I17.38500},
}

@inproceedings{wang2025ijcai,
  title = {Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks},
  author = {Wang, Yumeng{} and Wo, Zengyi{} and Wang, Wenjun and Fu, Xingcheng and Shao, Minglai},
  booktitle = {Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence},
  address = {Montreal, Canada},
  pages = {6506--6514},
  publisher = {ijcai.org},
  year = {2025},
  doi = {10.24963/IJCAI.2025/724},
  note = {*Equal contribution}
}

@inproceedings{wo2025kdd,
  title = {Local Homophily-Aware Graph Neural Network with Adaptive Polynomial Filters for Scalable Graph Anomaly Detection},
  author = {Wo, Zengyi and Shao, Minglai and Zhang, Shiyu and Wang, Ruijie},
  booktitle = {Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  address = {Toronto, Canada},
  pages = {3180--3191},
  publisher = {ACM},
  year = {2025},
  doi = {10.1145/3711896.3737031},
}

@inproceedings{liu2025dasfaa,
  title = {Mining Denoising Complementarity and Consistent Consensus for Unsupervised Multiplex Graph Representation Learning},
  author = {Liu, Chang and Wo, Zengyi and Shao, Minglai and Wang, Wenjun and Tian, Qin},
  booktitle = {Database Systems for Advanced Applications},
  address = {Singapore},
  series = {Lecture Notes in Computer Science},
  volume = {15988},
  pages = {286--296},
  publisher = {Springer},
  year = {2025},
  doi = {10.1007/978-981-95-3906-2_19}
}

@inproceedings{wo2024www,
  title = {Graph Contrastive Learning via Interventional View Generation},
  author = {Wo, Zengyi and Shao, Minglai and Wang, Wenjun and Guo, Xuan and Lin, Lu},
  booktitle = {Proceedings of the ACM Web Conference 2024},
  address = {Singapore},
  pages = {1024--1034},
  publisher = {ACM},
  year = {2024},
  doi = {10.1145/3589334.3645687},
}