Nan Wang

29 papers A* 4B 4Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2026 — conf
Advanced Global Wildfire Activity Modeling with Hierarchical Graph ODE.
KDD (1)
Fan Xu, Wei Gong, Hao Wu, Lilan Peng, Nan Wang, Qingsong Wen, Xian Wu, Kun Wang, Xibin Zhao
2026 J jnl
Advanced Global Wildfire Activity Modeling with Hierarchical Graph ODE.
CoRR
Fan Xu, Wei Gong, Hao Wu, Lilan Peng, Nan Wang, Qingsong Wen, Xian Wu, Kun Wang, Xibin Zhao
2026 J jnl
Protect NTN-IoT Security by Malicious Traffic Detection: A Multidimensional Hypergraph Learning Approach.
IEEE Internet Things J.
Xuzeng Li, Tao Zhang, Jian Wang, Zhen Han, Nan Wang, Shaohua Fan, Hongyang Du, Jiawen Kang, Jiqiang Liu, Dusit Niyato
2025 J jnl
Advanced persistent threat detection via mining long-term features in provenance graphs.
Frontiers Comput. Sci.
Fan Xu, Qinxin Zhao, Xiaoxiao Liu, Nan Wang, Meiqi Gao, Xuezhi Wen, Dalin Zhang
2025 J jnl
Breaking the Discretization Barrier of Continuous Physics Simulation Learning.
CoRR
Fan Xu, Hao Wu, Nan Wang, Lilan Peng, Kun Wang, Wei Gong, Xibin Zhao
2025 J jnl
Cost-Sensitive Hypergraph Learning With Structure Quality Preservation for IoT Software Defect Prediction.
IEEE Open J. Commun. Soc.
Nan Wang, Jiqiang Liu, Bing Du, Qinxin Zhao, Yuanlin Sun, Tao Zhang, Dunqiu Fan, Wenjin Li, Binyong Li
2025 J jnl
Unlocking Out-of-Distribution Generalization in Dynamics through Physics-Guided Augmentation.
CoRR
Fan Xu, Hao Wu, Kun Wang, Nan Wang, Qingsong Wen, Xian Wu, Wei Gong, Xibin Zhao
2024 — conf
Enhancing Patient Privacy in IoT-Enabled Intelligent Systems: A Deep and Broad Learning-Based Efficient Encryption Network.
SmartIoT
Xiaoqiang Zhu, Jiqiang Liu, Dalin Zhang, Lingkun Li, Nan Wang
2024 J jnl
Fairness based on anomaly score and adaptive weight in network attack detection.
Inf. Sci.
Xuezhi Wen, Meiqi Gao, Nan Wang, Jiahui Ma, Dalin Zhang, Xibin Zhao, Jiqiang Liu
2024 — conf
GLADformer: A Mixed Perspective for Graph-Level Anomaly Detection.
ECML/PKDD (6)
Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Dalin Zhang, Siyang Lu, Binyong Li, Wei Gong, Hai Wan, Xibin Zhao
2024 J jnl
GLADformer: A Mixed Perspective for Graph-level Anomaly Detection.
CoRR
Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Dalin Zhang, Siyang Lu, Binyong Li, Wei Gong, Hai Wan, Xibin Zhao
2024 J jnl
LTRDetector: Exploring Long-Term Relationship for Advanced Persistent Threats Detection.
CoRR
Xiaoxiao Liu, Fan Xu, Nan Wang, Qinxin Zhao, Dalin Zhang, Xibin Zhao, Jiqiang Liu
2024 A* conf
Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum.
AAAI
Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Xibin Zhao, Hai Wan
2023 J jnl
An Interpretable Station Delay Prediction Model Based on Graph Community Neural Network and Time-Series Fuzzy Decision Tree.
IEEE Trans. Fuzzy Syst.
Dalin Zhang, Yi Xu, Yunjuan Peng, Chenyue Du, Nan Wang, Mincong Tang, Lingyun Lu, Jiqiang Liu
2023 J jnl
Cost-Sensitive Hypergraph Learning With F-Measure Optimization.
IEEE Trans. Cybern.
Nan Wang, Ruozhou Liang, Xibin Zhao, Yue Gao
2023 B conf
DTC: Addressing the long-tailed problem in intrusion detection through the divide-then-conquer paradigm.
ICPADS
Chaoqun Guo, Nan Wang, Yuanlin Sun, Dalin Zhang
2023 B conf
Exploring Global and Local Information for Anomaly Detection with Normal Samples.
SMC
Fan Xu, Nan Wang, Xibin Zhao
2023 J jnl
Exploring Global and Local Information for Anomaly Detection with Normal Samples.
CoRR
Fan Xu, Nan Wang, Xibin Zhao
2023 B conf
Fairness with adaptive weight in network attack detection.
ICPADS
Xuezhi Wen, Nan Wang, Yuanlin Sun, Fan Xu, Dalin Zhang, Xibin Zhao
2023 B conf
Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection.
ICPADS
Fan Xu, Nan Wang, Xuezhi Wen, Meiqi Gao, Chaoqun Guo, Xibin Zhao
2023 J jnl
Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection.
CoRR
Fan Xu, Nan Wang, Xuezhi Wen, Meiqi Gao, Chaoqun Guo, Xibin Zhao
2023 J jnl
Revisiting Graph-based Fraud Detection in Sight of Heterophily and Spectrum.
CoRR
Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Xibin Zhao
2023 J jnl
TBDetector: Transformer-Based Detector for Advanced Persistent Threats with Provenance Graph.
CoRR
Nan Wang, Xuezhi Wen, Dalin Zhang, Xibin Zhao, Jiahui Ma, Mengxia Luo, Sen Nie, Shi Wu, Jiqiang Liu
2022 J jnl
Search-based cost-sensitive hypergraph learning for anomaly detection.
Inf. Sci.
Nan Wang, Yubo Zhang, Xibin Zhao, Yingli Zheng, Hao Fan, Boya Zhou, Yue Gao
2020 A* conf
Hypergraph Label Propagation Network.
AAAI
Yubo Zhang, Nan Wang, Yufeng Chen, Changqing Zou, Hai Wan, Xibin Zhao, Yue Gao
2019 J jnl
Exploring High-Order Correlations for Industry Anomaly Detection.
IEEE Trans. Ind. Electron.
Nan Wang, Zizhao Zhang, Xibin Zhao, Quan Miao, Rongrong Ji, Yue Gao
2018 J jnl
Beyond Pairwise Matching: Person Reidentification via High-Order Relevance Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xibin Zhao, Nan Wang, Yubo Zhang, Shaoyi Du, Yue Gao, Jiaguang Sun
2018 A* conf
Hypergraph Learning With Cost Interval Optimization.
AAAI
Xibin Zhao, Nan Wang, Heyuan Shi, Hai Wan, Jin Huang, Yue Gao
2018 A* conf
Iterative Metric Learning for Imbalance Data Classification.
IJCAI
Nan Wang, Xibin Zhao, Yu Jiang, Yue Gao