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牛朝西 助理教授


牛朝西​ 博士

助理教授 碩導

學校郵箱：cxniu@cityu.edu.mo

辦公電話：(853)85902423

辦公地址：澳門城市大學(氹仔)何鴻燊樓S401室

 

學歷

2025計算機科學博士， 悉尼科技大學，澳大利亞

2020電路與系統碩士，蘭州大學，中國蘭州

2017電子信息科學與技術學士，蘭州大學，中國蘭州

 

現任

澳門城市大學數據科學學院助理教授

 

研究方向

圖神經網絡，異常檢測，連續學習等

 

研究及出版

（*：相同貢獻）

  1. Qiao, H.*, Niu, C.*, Chen, L., & Pang, G. (2025). AnomalyGFM: Graph foundation model for zero/few-shot anomaly detection. In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2 (pp. 2326-2337). (CCF-A)
  2. Niu, C.*, Qiao, H*., Chen, C., Chen, L., & Pang, G. (2024). Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts. In Proceedings of the 34th International Joint Conference on Artificial Intelligence. (CCF-A)
  3. Xia, C., Niu, C., & Zhan, K. (2025). Hierarchical Consensus Network for Multiview Feature Learning. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 39, No. 20, pp. 21617-21625). (CCF-A)
  4. Niu, C., Pang, G., Chen, L., & Liu, B. (2024). Replay-and-forget-free graph class-incremental learning: A task profiling and prompting approach. Advances in Neural Information Processing Systems, 37, 87978-88002. (CCF-A)
  5. Niu, C., Pang, G., & Chen, L. Graph continual learning with debiased lossless memory replay. (2024). In Proceedings of the 27th European Conference on Artificial Intelligence (ECAI 2024) Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024): Santiago de Compostela, Spain, October (pp. 19-24). (CCF-B)
  6. Niu, C., Pang, G., & Chen, L. (2024). Affinity uncertainty-based hard negative mining in graph contrastive learning. IEEE Transactions on Neural Networks and Learning Systems, 35(9), 11681-11691. (CCF-B)
  7. Niu, C., Pang, G., & Chen, L. (2023). Graph-level Anomaly Detection via Hierarchical Memory Networks. In Joint European conference on machine learning and knowledge discovery in databases (pp. 201-218). Cham: Springer Nature Switzerland. (CCF-B)
  8. Zhan, K., & Niu, C. (2021). Mutual teaching for graph convolutional networks. Future Generation Computer Systems, 115, 837-843. (CCF-C, Q1)
  9. Zhan, K., Niu, C., Chen, C., Nie, F., Zhang, C., & Yang, Y. (2018). Graph Structure fusion for multiview clustering. IEEE Transactions on Knowledge and Data Engineering, 31(10), 1984-1993. (CCF-A)