王闪闪

王闪闪

讲师

简介

王闪闪，济南大学教师，山东大学计算机科学与技术专业博士，主要研究方向为人工智能、网络空间安全，现为Transactions on Information Systems (TOIS)、Journal of Biomedical Informatics (JBI)、European Association of Computational Linguistics (EACL) 、International Conference on Neural Information Processing (ICONIP)、Information Sciences 审稿人，美国计算机学会（ACM）会员，中国计算机学会（CCF）会员，SMP 2019、YSSNLP 2020、YSSNLP 2021 会议组织委员。参与国家自然科学基金一项，现主持山东省自然科学基金一项。

项目经历

  • 2022.07 — 至今

    主持项目：多关联视角下的互联网黑话识别与理解, 山东省自然科学基金，项目编号：ZR2023QF096

  • 2018.09 — 2021.08

    参与项目：基于多源异构数据融合的可解释性医疗健康问答技术研究, 国家自然科学基金

  • 2015.09 — 2018.06

    主持项目：IPv6 环境下移动终端恶意软件网络行为检测模型, 赛尔网络下一代互联网技术创新项目, 项目编号：NGII20160404

    主持项目：基于机器学习的移动终端恶意流量识别, 济南大学研究生创新基金项目, 项目编号：YCXS15018

论文发表

  • Shanshan Wang, Qiben Yan, Zhenxiang Chen, Bo Yang, Chuan Zhao and Mauro Conti. Detecting Android Malware Leveraging Text Semantics of Network Flows. TIFS 2018. (SCI, 中科院分区 1 区 TOP，IF= 7.178, CCF A)

  • Shanshan Wang, Zhenxiang Chen, Qiben Yan, Ji Ke, Lizhi Peng, Bo Yang and Mauro Conti. Deep and Broad URL Feature Mining for Android Malware Detection. Information Sciences 2019. (SCI, 中科院分区 1 区 TOP, IF = 6.795)

  • Shanshan Wang, Zhenxiang Chen, Qiben Yan, Bo Yang, Lizhi Peng and Zhongtian Jia. A Mobile Malware Detection Method Using Behavior Features in Network Traffic. Journal of Network and Computer Applications 2019. (SCI, JCR 分区 1 区，IF = 6.281)

  • Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jian-Yun Nie, Jun Ma and Maarten de Rijke. Coding Electronic Health Records with Adversarial Reinforcement Path Generation. SIGIR 2020. (CCF A)

  • Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang, Qiang Yan, Evangelos Kanoulas and Maarten de Rijke. Few-Shot Electronic Health Record Coding through Graph Contrastive Learning. TKDE 2023. (CCF A under review)

  • Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang and Qiang Yan. Paying More Attention to Self-attention: Improving Pre-trained Language Models via Attention Guiding. SIGIR 2023. (CCF A under review)

  • Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma and Maarten de Rijke. Order-free Medicine Combination Prediction With Graph Convolutional Reinforcement Learning. CIKM 2019. (CCF B)

  • Shanshan Wang, Qiben Yan, Zhenxiang Chen, Lin Wang, Riccardo Spolaor, Bo Yang and Mauro Conti. Lexical Mining of Malicious URLs for Classifying Android malware. SecureComm 2018. (CCF C)

  • Shanshan Wang, Zhenxiang Chen, Qiben Yan, Ke Ji, Lin Wang, Bo Yang and Mauro Conti. Deep and Broad Learning based Detection of Android Malware via Network Traffic. IWQoS 2018. ( EI )

  • Shanshan Wang, Zhenxiang Chen, Lei Zhang, Qiben Yan, Bo Yang, Lizhi Peng and Zhongtian Jia. TrafficAV: An effective and explainable detection of mobile malware behavior using network traffic. IWQoS 2016. ( EI )

  • Shanshan Wang, Qiben Yan, Zhenxiang Chen, Bo Yang, Chuan Zhao and Mauro Conti. TextDroid: Semantics-based detection of mobile malware using network flows. INFOCOM Workshops 2017. ( EI )

  • Shanshan Wang, Shifeng Hou, Lei Zhan, Zhenxiang Chen, and Hongbo Han. Android Malware Network Behavior Analysis at HTTP Protocol Packet Level. ICA3PP Workshops 2015. ( EI )

  • Dong Cao, Shanshan Wang, Qun Li, Zhenxiang Chen, Qiben Yan, Lizhi Peng and Bo Yang. DroidCollector: A High Performance Framework for High Quality Android Traffic Collection. Trustcom/bigdatase/ispa 2016. ( EI )

  • Anran Liu, Zhenxiang Chen, Shanshan Wang, Lizhi Peng, Chuan Zhao, Yuliang Shi. A Fast and Effective Detection of Mobile Malware Behavior Using Network Traffic. ICA3PP 2018. ( EI )

  • Zhenxiang Chen, Qiben Yan, Hongbo Han, Shanshan Wang, Lizhi Peng, Lin Wang, Bo Yang. Machine learning based mobile malware detection using highly imbalanced network traffic. Information Sciences 2018. (中科院分区 1 区 TOP, IF = 6.795)

  • Qun Li, Zhenxiang Chen, Qiben Yan, Shanshan Wang, Kun Ma, Yuliang Shi, Lizhen Cui. MulAV: Multilevel and Explainable Detection of Android Malware with Data Fusion. ICA3PP 2018. ( EI )

  • Ying Pang, Zhenxiang Chen, Xiaomei Li, Shanshan Wang, Chuan Zhao, Lin Wang, Ke Ji, Zicong Li. Finding Android Malware Trace from Highly Imbalanced Network Traffic. CSE/EUC 2017. (EI)

  • Wang S, Chen Z, Li X, et al. Android Malware Clustering Analysis on Network-Level Behavior[M]// Intelligent Computing Theories and Application. 2017:796-807.

专利

  • 陈竹敏, 王闪闪, 任鹏杰, 任昭春. 小样本电子病历 ICD 代码预测方法及系统, ZL202110558310.5, 授权日期：2023-06-27.
  • 陈竹敏, 王闪闪, 任鹏杰, 任昭春, 马军. 一种基于路径生成的电子病历 ICD 代码预测方法及预测系统, ZL202010279445.3, 授权日期：2020-04-10.
  • 陈贞翔, 王闪闪, 杨波, 孙润元, 荆山, 马坤. 基于恶意网络流量词库的恶意软件检测可视化方法及系统, CN106845230A, 授权日期：2017-06-13.
  • 陈贞翔, 王闪闪, 张蕾, 杨波, 韩泓波, 孙润元. 面向网络服务提供商的恶意软件网络行为检测方法及系统, CN105007282B, 授权日期：2018-08-10.
兴趣爱好
  • 人工智能
  • 网络空间安全