Nan Wang

According to our database, Nan Wang authored at least 26 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Protect NTN-IoT Security by Malicious Traffic Detection: A Multidimensional Hypergraph Learning Approach.

Xuzeng Li, Tao Zhang, Jian Wang, Zhen Han, Nan Wang, Shaohua Fan, Hongyang Du, Jiawen Kang, Jiqiang Liu, Dusit Niyato

IEEE Internet Things J., 2026

Advanced Global Wildfire Activity Modeling with Hierarchical Graph ODE.

Fan Xu, Wei Gong, Hao Wu, Lilan Peng, Nan Wang, Qingsong Wen, Xian Wu, Kun Wang, Xibin Zhao

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Advanced persistent threat detection via mining long-term features in provenance graphs.

Fan Xu, Qinxin Zhao, Xiaoxiao Liu, Nan Wang, Meiqi Gao, Xuezhi Wen, Dalin Zhang

Frontiers Comput. Sci., October, 2025

Unlocking Out-of-Distribution Generalization in Dynamics through Physics-Guided Augmentation.

Fan Xu, Hao Wu, Kun Wang, Nan Wang, Qingsong Wen, Xian Wu, Wei Gong, Xibin Zhao

CoRR, October, 2025

Breaking the Discretization Barrier of Continuous Physics Simulation Learning.

Fan Xu, Hao Wu, Nan Wang, Lilan Peng, Kun Wang, Wei Gong, Xibin Zhao

CoRR, September, 2025

Cost-Sensitive Hypergraph Learning With Structure Quality Preservation for IoT Software Defect Prediction.

Nan Wang, Jiqiang Liu, Bing Du, Qinxin Zhao, Yuanlin Sun, Tao Zhang, Dunqiu Fan, Wenjin Li, Binyong Li

IEEE Open J. Commun. Soc., 2025

Breaking the Discretization Barrier of Continuous Physics Simulation Learning.

Fan Xu, Hao Wu, Nan Wang, Lilan Peng, Kun Wang, Wei Gong, Xibin Zhao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Fairness based on anomaly score and adaptive weight in network attack detection.

Xuezhi Wen, Meiqi Gao, Nan Wang, Jiahui Ma, Dalin Zhang, Xibin Zhao, Jiqiang Liu

Inf. Sci., 2024

LTRDetector: Exploring Long-Term Relationship for Advanced Persistent Threats Detection.

Xiaoxiao Liu, Fan Xu, Nan Wang, Qinxin Zhao, Dalin Zhang, Xibin Zhao, Jiqiang Liu

CoRR, 2024

Enhancing Patient Privacy in IoT-Enabled Intelligent Systems: A Deep and Broad Learning-Based Efficient Encryption Network.

Xiaoqiang Zhu, Jiqiang Liu, Dalin Zhang, Lingkun Li, Nan Wang

Proceedings of the IEEE International Conference on Smart Internet of Things, 2024

GLADformer: A Mixed Perspective for Graph-Level Anomaly Detection.

Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Dalin Zhang, Siyang Lu, Binyong Li, Wei Gong, Hai Wan, Xibin Zhao

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum.

Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Xibin Zhao, Hai Wan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Cost-Sensitive Hypergraph Learning With F-Measure Optimization.

Nan Wang, Ruozhou Liang, Xibin Zhao, Yue Gao

IEEE Trans. Cybern., May, 2023

An Interpretable Station Delay Prediction Model Based on Graph Community Neural Network and Time-Series Fuzzy Decision Tree.

Dalin Zhang, Yi Xu, Yunjuan Peng, Chenyue Du, Nan Wang, Mincong Tang, Lingyun Lu, Jiqiang Liu

IEEE Trans. Fuzzy Syst., February, 2023

Revisiting Graph-based Fraud Detection in Sight of Heterophily and Spectrum.

Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Xibin Zhao

CoRR, 2023

TBDetector: Transformer-Based Detector for Advanced Persistent Threats with Provenance Graph.

Nan Wang, Xuezhi Wen, Dalin Zhang, Xibin Zhao, Jiahui Ma, Mengxia Luo, Sen Nie, Shi Wu, Jiqiang Liu

CoRR, 2023

Exploring Global and Local Information for Anomaly Detection with Normal Samples.

Fan Xu, Nan Wang, Xibin Zhao

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection.

Fan Xu, Nan Wang, Xuezhi Wen, Meiqi Gao, Chaoqun Guo, Xibin Zhao

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Fairness with adaptive weight in network attack detection.

Xuezhi Wen, Nan Wang, Yuanlin Sun, Fan Xu, Dalin Zhang, Xibin Zhao

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

DTC: Addressing the long-tailed problem in intrusion detection through the divide-then-conquer paradigm.

Chaoqun Guo, Nan Wang, Yuanlin Sun, Dalin Zhang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022

Search-based cost-sensitive hypergraph learning for anomaly detection.

Nan Wang, Yubo Zhang, Xibin Zhao, Yingli Zheng, Hao Fan, Boya Zhou, Yue Gao

Inf. Sci., 2022

2020

Hypergraph Label Propagation Network.

Yubo Zhang, Nan Wang, Yufeng Chen, Changqing Zou, Hai Wan, Xibin Zhao, Yue Gao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Exploring High-Order Correlations for Industry Anomaly Detection.

Nan Wang, Zizhao Zhang, Xibin Zhao, Quan Miao, Rongrong Ji, Yue Gao

IEEE Trans. Ind. Electron., 2019

2018

Beyond Pairwise Matching: Person Reidentification via High-Order Relevance Learning.

Xibin Zhao, Nan Wang, Yubo Zhang, Shaoyi Du, Yue Gao, Jiaguang Sun

IEEE Trans. Neural Networks Learn. Syst., 2018

Iterative Metric Learning for Imbalance Data Classification.

Nan Wang, Xibin Zhao, Yu Jiang, Yue Gao

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Hypergraph Learning With Cost Interval Optimization.

Xibin Zhao, Nan Wang, Heyuan Shi, Hai Wan, Jin Huang, Yue Gao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018