王楠

博士、讲师

基本信息

办公电话:010-51683811 电子邮件: wangnanbjtu@bjtu.edu.cn
通讯地址:北京市海淀区北京交通大学 逸夫科技楼西811 邮编:

教育背景

2012 - 2016 哈尔滨工业大学 学士 

2016 - 2021 清华大学 博士 


欢迎2025年秋季入学有意向申请硕士研究生的同学邮件联系,研究方向包括异常分析、恶意攻击检测、数据挖掘、机器学习等~

研究方向

  • 人工智能与大数据
  • 智能交通领域软件工程
  • 软件服务工程
  • 软件工程理论与技术
  • 软件工程
  • 网络与信息安全
  • 网络安全

科研项目

北京市科协青年人才托举工程项目,2024-2026,主持

符号计算与知识工程教育部重点实验室开放项目:针对攻击行为的持续跟随智能检测技术,2024-2025,主持

先进密码技术与系统安全四川省重点实验室开放课题:基于长期特征挖掘的恶意攻击检测,2023-2025,主持

CCF-绿盟科技“鲲鹏”基金项目:基于溯源图的潜在APT攻击跟踪检测研究, 2023-2024,主持

国家自然科学基金"青年基金": 工业场景下的异常数据检测及溯源, 2023-2025,主持
CCF-腾讯“犀牛鸟”基金项目: 基于攻击溯源图的攻击检测研究, 2022-2023,主持
自然科学类人才基金项目: 工业场景自适应异常检测关键技术研究, 2022-2024,主持
红果园(横): 软件缺陷数据收集和工具开发, 2022-2024,参与
国家自然科学基金“面上”: 社交网络中信息传播建模与干预关键技术研究, 2023-2026,参与
自然科学横向项目: 基于数字孪生的智慧云展平台, 2022-2023,参与
自然科学横向项目: 新型城市轨道交通控制架构设计研究, 2022-2022,参与
自然科学横向项目: 综合监测货车时空同步及通信平台研究, 2022-2025,参与


教学工作

大数据概论(本科生

软件测试与质量保证(本科生)

软件构造原理(研究生


论文/期刊

• Fan Xu, Nan Wang*, Hao Wu, Xuezhi Wen, Xibin Zhao, Hai Wan, Revisiting Graph Neural Network-based Fraud Detection in Sight of Heterophily and Spectrum. In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24), 2024.(CCF A类会议)

• Fan Xu, Qinxin Zhao, Xiaoxiao Liu,  Nan Wang*, Meiqi Gao, Xuezhi Wen, Dalin ZhangAdvanced Persistent Threat Detection via Mining Long-Term Features in Provenance GraphsIn: Front.Comput.Sci., 2024.(CCF B类期刊)

• Xuezhi Wen, Meigi Gao, Nan Wang*, Jiahui Ma, Dalin Zhang, Xibin Zhao, Jiqiang Liu, Fairness based on anomaly score and adaptive weight in network attack detection, In: Information Sciences, 2024. (IF=8.233,SCI 一区期刊)
• Fan Xu, Nan Wang*, Hao Wu, Xuezhi Wen, Dalin Zhang, Siyang Lu, Binyong Li, Wei Gong, Hai Wan, and Xibin Zhao, GLADformer: A Mixed Perspective for  Graph-level Anomaly Detection, In: ECML PKDD, 2024.(CCF B类会议) 
• Fan Xu, Nan Wang*, Xuezhi Wen, Meiqi Gao, Chaoqun Guo, Xibin Zhao, Few-Shot Message-Enhanced Contrastive Learning for Graph Anomaly DetectionIn: Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems (ICPADS'23) ,2023. (CCF C类会议)

• Fan Xu, Nan Wang*, Xibin Zhao, Exploring Global and Local Information for Anomaly Detection with Normal SamplesIn: Proceedings of the 2023 IEEE Conference on Systems, Man, and Cybernetics(SMC'23) ,2023. (CCF C类会议)
• Chaoqun Guo, Nan Wang*, Yuanlin Sun, Dalin Zhang, DTC: Addressing the Long-Tailed Problem in Intrusion Detection Through the Divide-Then-Conquer Paradigm. In: Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems (ICPADS'23) ,2023. (CCF C类会议)
• Xuezhi Wen, Nan Wang*, Yuanlin Sun, Fan Xu,  Dalin Zhang, Xibin Zhao, Fairness With Adaptive Weight in Network Attack Detection. In: Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems (ICPADS'23) ,2023. (CCF C类会议)

• Nan Wang, Yubo Zhang, Xibin Zhao, Yingli Zheng, Hao Fan, Boya Zhou, Yue Gao, Search-Based Cost-Sensitive Hypergraph Learning for Anomaly Detection. In: Information Sciences, 2022. (IF=8.233,SCI 一区期刊)

• Nan Wang, Ruozhou Liang, Xibin Zhao, Yue Gao, Cost-Sensitive Hypergraph Learning with F-measure Optimization. In: IEEE Transactions on Cybernetics, 2021. (IF=19.118,SCI 一区期刊)
• Nan Wang, Zizhao Zhang, Xibin Zhao, Quan Miao, Rongrong Ji, Yue Gao, Exploring High-Order Correlations for Industry Anomaly Detection. In: IEEE Transactions on Industrial Electronics, 2019. (IF=8.162,SCI 一区期刊)
• Nan Wang, Xibin Zhao, Yu Jiang, Yue Gao, Iterative Metric Learning for Imbalance Data Classification.  In: Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18) , 2018.(CCF A类会议)
• Xibin Zhao, Nan Wang, Heyuan Shi, Hai Wan, Jin Huang, Yue Gao, Hypergraph Learning With Cost Interval Optimization. In: Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI'18) , 2018.(CCF A类会议)
• Xibin Zhao, Nan Wang, Yubo Zhang, Shaoyi Du, Yue Gao, Jiaguang Sun, Beyond Pairwise Matching: Person Reidentification via High-Order Relevance Learning. In: IEEE Transactions on Neural Networks and Learning Systems, 2017. (IF=14.255,SCI 一区期刊)
• Dalin Zhang, Yi Xu, Yunjuan Peng, Chenyue Du, Nan Wang, Mincong Tang, Lingyun Lu, Jiqiang Liu, An Interpretable Station Delay Prediction Model Based on Graph Community Neural Network and Time-Series Fuzzy Decision Tree. In: IEEE Transactions on Fuzzy Systems,2023.(IF=11.9,SCI 一区期刊)
• 张大林, 张哲玮, 王楠, 刘吉强. AutoUnit:基于主动学习和预测引导的测试自动生成[J]. In: 计算机科学, 2022.(CCF B类期刊)
• Yubo Zhang, Nan Wang, Yufeng Chen, Changqing Zou, Hai Wan, Xibin Zhao, Yue Gao, Hypergraph Label Propagation Network. In: Proceedings of the 34th AAAI conference on Artificial Intelligence (AAAI'20), 2020.(CCF A类会议)


专利

王楠,温学智,张大林:一种基于溯源图和自注意力机制的APT攻击检测方法,202211500772.2,2022.11
王楠,张大林,刘娟:一种基于联邦学习的风险权重融合的异常检测模型,202111362361.7,2022.04
高跃,王楠,赵曦滨:基于搜索的代价敏感超图学习的软件缺陷预测方法及系统,ZL201810178494.0,2020.06
高跃,王楠,赵曦滨等:一种基于高阶关联挖掘的网络数据异常检测方法与系统,ZL201910183446.5,2020.07
万海,王楠,李宗辉等:一种交通领域的带同步时钟功能的以太网发帧装置,ZL201910183415.X,2020.06
高跃,王楠,赵曦滨:一种基于F值优化的网络攻击检测方法与系统,ZL201910183415.X,2020.08
赵曦滨,王楠,高跃:一种基于超图结构质量优化的异常检测方法,202010384710.4,2020.06

获奖与荣誉

2024年 入选 北京交通大学优秀主讲教师

2023年 入选 “北京市科协青年人才托举工程”

社会兼职

Session Chair: IEEE ICPADS'23
Reviewer: IEEE TNNLS (2019-), IEEE TCYB (2020-),  IJCAI 2022, AAAI 2022 et al.