Hypergraph Learning With Cost Interval Optimization. - Xibin Zhao; Nan Wang 015; Heyuan Shi; Hai Wan; Jin Huang 002; Yue Gao 002 (AAAI, 2018)

Iterative Metric Learning for Imbalance Data Classification. - Nan Wang 015; Xibin Zhao; Yu Jiang; Yue Gao 002 (IJCAI, 2018)

Beyond Pairwise Matching: Person Reidentification via High-Order Relevance Learning. - Xibin Zhao; Nan Wang 015; Yubo Zhang; Shaoyi Du; Yue Gao 002; Jiaguang Sun 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Exploring High-Order Correlations for Industry Anomaly Detection. - Nan Wang 015; Zizhao Zhang; Xibin Zhao; Quan Miao; Rongrong Ji; Yue Gao 002 (IEEE Trans. Ind. Electron., 2019)

Hypergraph Label Propagation Network. - Yubo Zhang; Nan Wang 015; Yufeng Chen; Changqing Zou; Hai Wan; Xibin Zhao; Yue Gao 002 (AAAI, 2020)

Search-based cost-sensitive hypergraph learning for anomaly detection. - Nan Wang 015; Yubo Zhang; Xibin Zhao; Yingli Zheng; Hao Fan; Boya Zhou; Yue Gao 002 (Inf. Sci., 2022)

DTC: Addressing the long-tailed problem in intrusion detection through the divide-then-conquer paradigm. - Chaoqun Guo; Nan Wang 015; Yuanlin Sun; Dalin Zhang 003 (ICPADS, 2023)

Fairness with adaptive weight in network attack detection. - Xuezhi Wen; Nan Wang 015; Yuanlin Sun; Fan Xu 009; Dalin Zhang 003; Xibin Zhao (ICPADS, 2023)

Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection. - Fan Xu 009; Nan Wang 015; Xuezhi Wen; Meiqi Gao; Chaoqun Guo; Xibin Zhao (ICPADS, 2023)

Exploring Global and Local Information for Anomaly Detection with Normal Samples. - Fan Xu 009; Nan Wang 015; Xibin Zhao (SMC, 2023)

TBDetector: Transformer-Based Detector for Advanced Persistent Threats with Provenance Graph. - Nan Wang 015; Xuezhi Wen; Dalin Zhang 003; Xibin Zhao; Jiahui Ma; Mengxia Luo; Sen Nie; Shi Wu; Jiqiang Liu (CoRR, 2023)

Revisiting Graph-based Fraud Detection in Sight of Heterophily and Spectrum. - Fan Xu 009; Nan Wang 015; Hao Wu 094; Xuezhi Wen; Xibin Zhao (CoRR, 2023)

An Interpretable Station Delay Prediction Model Based on Graph Community Neural Network and Time-Series Fuzzy Decision Tree. - Dalin Zhang 003; Yi Xu; Yunjuan Peng; Chenyue Du; Nan Wang 015; Mincong Tang; Lingyun Lu; Jiqiang Liu (IEEE Trans. Fuzzy Syst., 2023)

Cost-Sensitive Hypergraph Learning With F-Measure Optimization. - Nan Wang 015; Ruozhou Liang; Xibin Zhao; Yue Gao 002 (IEEE Trans. Cybern., 2023)

Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum. - Fan Xu 009; Nan Wang 015; Hao Wu 094; Xuezhi Wen; Xibin Zhao; Hai Wan (AAAI, 2024)

GreedyAgent: Crafting Efficient Agents for Meta-learning from Learning Curves via Greedy Algorithm Selection. - Jinyu He; Xiaowei Song; Xiaohan Yan; Nan Wang 015; Yuqi Miao; Zijian Jiang; Fei Chao 001; Yan Zhang 109; Shengchuan Zhang; Rongrong Ji (ICIC (LNAI 1), 2024)

GLADformer: A Mixed Perspective for Graph-Level Anomaly Detection. - Fan Xu 009; Nan Wang 015; Hao Wu 094; Xuezhi Wen; Dalin Zhang 003; Siyang Lu; Binyong Li; Wei Gong 001; Hai Wan; Xibin Zhao (ECML/PKDD (6), 2024)

AttenPoint: Exploring Point Cloud Segmentation Through Attention-Based Modules. - Xiaohan Yan; Nan Wang 015; Xiaowei Song; Gang Wei; Zhicheng Wang (PRCV (6), 2024)

Enhancing Patient Privacy in IoT-Enabled Intelligent Systems: A Deep and Broad Learning-Based Efficient Encryption Network. - Xiaoqiang Zhu; Jiqiang Liu; Dalin Zhang 003; Lingkun Li; Nan Wang 015 (SmartIoT, 2024)

LTRDetector: Exploring Long-Term Relationship for Advanced Persistent Threats Detection. - Xiaoxiao Liu; Fan Xu 009; Nan Wang 015; Qinxin Zhao; Dalin Zhang 003; Xibin Zhao; Jiqiang Liu (CoRR, 2024)

Fairness based on anomaly score and adaptive weight in network attack detection. - Xuezhi Wen; Meiqi Gao; Nan Wang 015; Jiahui Ma; Dalin Zhang 003; Xibin Zhao; Jiqiang Liu (Inf. Sci., 2024)

Cost-Sensitive Hypergraph Learning With Structure Quality Preservation for IoT Software Defect Prediction. - Nan Wang 015; Jiqiang Liu; Bing Du; Qinxin Zhao; Yuanlin Sun; Tao Zhang 063; Dunqiu Fan; Wenjin Li; Binyong Li (IEEE Open J. Commun. Soc., 2025)

Advanced persistent threat detection via mining long-term features in provenance graphs. - Fan Xu 009; Qinxin Zhao; Xiaoxiao Liu; Nan Wang 015; Meiqi Gao; Xuezhi Wen; Dalin Zhang 003 (Frontiers Comput. Sci., 2025)