Shanshan Wang (王闪闪)

I’m a doctoral student at Information Retrieval Laboratory at Shandong University, supervised by Zhumin Chen and Pengjie Ren. I am mainly engaged in research related to health care.

Publications

2021

• Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jian-Yun Nie, Jun Ma and Maarten de Rijke. Few-Shot Electronic Health Record Coding through Graph Contrastive Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021. (under review)

2020

• 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. The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020. (CCF A) [pdf] [code]

2019

• Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma and Maarten de Rijke. Order-free Medicine Combination Prediction With Graph Convolutional Reinforcement Learning. The 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019. (CCF B) [pdf] [code]
• 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. (CCF B) [pdf]
• 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，Elsevier, 2019. (CCF C) [paper]

2018

• Shanshan Wang, Qiben Yan, Zhenxiang Chen, Bo Yang, Chuan Zhao and Mauro Conti. Detecting Android Malware Leveraging Text Semantics of Network Flows. IEEE Transactions on Information Forensics & Security, 2018. (CCF A) [paper]
• 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. The 26th IEEE/ACM International Symposium on Quality of Service (IWQoS), 2018. (CCF B short)[paper]
• Shanshan Wang, Qiben Yan, Zhenxiang Chen, Lin Wang, Riccardo Spolaor, Bo Yang and Mauro Conti. Lexical Mining of Malicious URLs for Classifying Android malware. 14th EAI International Conference on Security and Privacy in Communication Networks (SecureComm), 2018. (CCF C) [paper]

2017

• Shanshan Wang, Qiben Yan, Zhenxiang Chen, Bo Yang, Chuan Zhao and Mauro Conti. TextDroid: Semantics-based detection of mobile malware using network flows. IEEE Conference on Computer Communications Workshops (INFOCOM Workshops), 2017. (CCF A workshop) [paper]
• Shanshan Wang, Zhenxiang Chen, Xiaomei Li, Lin Wang, Ke Ji and Chuan Zhao. Android Malware Clustering Analysis on Network-Level Behavior. Intelligent Computing Theories and Application - 13th International Conference (ICIC), 2017. [paper]

2016

• 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. 24th IEEE/ACMInternational Symposium on Quality of Service(IWQoS), 2016.(CCF B short) [paper]
• 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. [paper]

2015

• Shanshan Wang, Shifeng Hou, Lei Zhan, Zhenxiang Chen, and Hongbo Han. Android Malware Network Behavior Analysis at HTTP Protocol Packet Level ICA3PP International Workshops and Symposiums on Algorithms and Architectures for Parallel Processing (ICA3PP Workshops and Symposiums), 2015. [paper]

Academic Service

• Program committee member, EACL 2020
• Reviewer, Journal of Biomedical Informatics(JBI) 2020
• External reviewer, ICONLP 2020

Reward

• Outstanding Master’s thesis in Shandong Province (山东省优秀硕士学位论文)

Contact

• Email: shanshanwang5678@gmail.com