Teng WANG

Computer Science/Security & Privacy/Education

中文版

Basic Info


  • Teng Wang
  • PhD in Computer Science and Technology
  • Xi'an Jiaotong University

Contact Info


Teaching


  • Introduction to Information Security
  • Network Attacks and Denfense Technology, Data Backup and Disaster Restore

Technique


News


  • I am looking for BS students. Please send me your CV if you are interested.
  • It will be better if you have the following characteristics.
  • 1. Good English Skills
  • 2. Proficiency in at least one programming language such as Python, C++, MATLAB
  • 3. Cheerful, Determined, Enterprising

Welcome!


Education


  • Xidian University(Bachelor's degree)- 2011.9-2015.7

    B.Eng. in Software Engineering, GPA:Top 6% (25/449), ranking:Top 3%(13/449)

  • Xi'an Jiaotong University(PhD)- 2015.9-2020.6

    Ph.D in Computer Science and Technology,GPA=3.7(Average Score 89.94)

  • Nanyang Technological University (NTU) - 2018.11-2019.12

    Visiting Ph.D Student in Computer Science and Technology

Work


  • Xi'an University of Posts & Telecommunications - 2020.7~

    School of Cyberspace Security, Lecturer, Master's Supervisor

Research


  • Research Background

    I was born in 1995, Xi'an, China. I received B.S. degree from the School of Software in XiDian University, China, in 2015, and received Ph.D. degree in the School of Computer Science and Technology, Xi’an Jiaotong University, China, in 2020. I have been a visiting Ph.D. student at the School of Computer Science and Engineering in Nanyang Technological University (NTU) in Singapore from 2018 to 2019. My research interests include mobile crowdsensing systems (MCS) and data privacy-preserving and analysis with applications to the Internet of Things.

    I have been journal reviewers for IEEE IoT J., Neurocomputing, Knowledge-Based Systems, IEEE System Journal, Computer & Security, IEEE Access, etc.

  • Research Interests

  • Big data security & privacy
  • Privacy-preserving data publishing and analyzing
  • Privacy in IoT and mobile sensing system
  • Privacy-preserving in AI and machine learning
  • Privacy-preserving Computing

Research Projects


  • National Natural Science Foundation of China under Grant

  • Natural Science Foundation Research Program of Shaanxi Provincial Department of Science and Technology

  • Scientific Research Program Funded by Shaanxi Provincial Education Department

Research Experience


  • Singapore NTU Smart Platform Infrastructure Research On Integrative Technology (SPIRIT) - 2019.7-2019.12

    Work for Privacy Impact Assessment in IoT Systems

  • GrapeCity Xi’an - 2014.7-2014.9

    Software Testing Engineer

Publications


  • Teng Wang, Jun Zhao, Zhi Hu, Xinyu Yang, Xuebin Ren, and Kwok-Yan Lam. Local Differential Privacy for Data Collection and Analysis. Neurocomputing, 2021, 426:114-133.
  • Teng Wang, Xinyu Yang, Xuebin Ren, and Jun Zhao. Data-Adaptive Privacy-preserving Mechanism for Data Stream Publishing in Real-time. SCIENTIA SINICA Informationis, 2020, 1-15. (面向数据流发布的数据自适应隐私保护机制. 中国科学:信息科学, 2020, 1-15)
  • Teng Wang, Xuefeng Zhang, Jingyu Feng, et al. A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and Analysis, Sensors, 2020, 20(24): 1-47.
  • Yang Zhao, Jun Zhao, Mengmeng Yang, Teng Wang, et al. Local Differential Privacy based Federated Learning for Internet of Things. IEEE Internet of Things Journal (IoTJ), 2020, PP:1-18, DOI: 10.1109/JIOT.2020.3037194.
  • Teng Wang, Xinyu Yang, Xuebin Ren, and Wei Yu. Locally Private High-dimensional Crowdsourced Data Release based on Copula Functions. IEEE Transactions on Services Computing, 2019, Online, PP: 1-14.
  • Teng Wang, Jun Zhao, Han Yu, Jinyan Liu, Xinyu Yang, Xuebin Ren, and Shi, Shuyu. Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas. ACM CIKM, 2019: 1311-1320.
  • Teng Wang, Xinyu Yang, Xuebin Ren, Jun Zhao, Kwok-Yan Lam, Adaptive Differentially Private Data Stream Publishing in Spatio-temporal Monitoring of IoT. IEEE IPCCC, 2019: 1-8.
  • Xinyu Yang, Teng Wang, Xuebin Ren, and Wei Yu. Survey on Improving Data Utility in Differentially Private Sequential Data Publishing. IEEE Transactions on Big Data, 2017, PP(99):1-19.
  • Xinyu Yang, Teng Wang, Xuebin Ren, and Wei Yu. Copula-based Multi-dimensional Crowdsourced Data Synthesis and Release with Local Privacy. IEEE GLOBECOM, 2017:1-6.

Awards in Research and Contest


  • ACM SIGIR Student Travel Grants 2019
  • Meritorious Winner in American Mathematical Contest In Modeling
  • Second Prize in China Undergraduate Mathematical Contest in Modeling

To Myself


When your talent can't support your ambition, you should calm down and learn!