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  • 个人简历
  • 教学
  • 研究领域
  • 研究成果
  • 奖励荣誉
  • Biography


    Ph.D., Electrical and Computer Engineering, Carnegie Mellon University, USA, 2013.08-2018.05, Advisor: Prof. Pei Zhang

    M.S., Electronic Engineering, Tsinghua University, P.R. China, 2009.09 - 2012.07, Advisor: Prof. Depeng Jin

    B.Eng., Electronic Engineering, Tsinghua University, P.R. China, 2005.08 - 2009.07

    Professional Experience

    2021.06-Present, Tsinghua Shenzhen International Graduate School, Assistant Professor, Principle Investigator;

    2020.09-2021.05, Tsinghua University, Visiting Scholar, Advisor: Prof. Yunhao Liu;

    2018.06-2020.05, Carnegie Mellon University, Postdoctoral Research Associate, Advisor: Prof. Pei Zhang;

    2014.05-2014.08, Microsoft Research Asia, Research Intern;

    Additional Positions

    General Co-Chair of CPD workshop in ACM Ubicomp 2018-2020

    Competition Co-Chair of ACM/IEEE IPSN 2019

    TPC Co-Chair of CPD workshop of ACM Ubicomp 2021


    Personal Webpage

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  • Current Courses

    Data visualization, Data mining: theory and algorithm

    Master’s & Ph.D. Advising

  • Research Interests

    AIoT, Pervasive Computing, Multi-agent System, Cyber Physical System, Robotics and UAV Swarm, Reinforcement Learning, Brain Computer Interface


    Research Output

  • Selected Publications

    1. Wang, Ziteng and Hu, Chun and Zheng, Dezhi* and Chen, Xinlei* (2021). Ultralow-Power Sensing Framework for Internet of Things: A Smart Gas Meter as a Case. IEEE Internet of Things Journal, 9(10), 7533-7544.

    2. Na, Rui and Zheng, Dezhi and Sun, Ying and Han, Mingzhe and Wang, Shuai and Zhang, Shuailei and Hui, Qianxin and Chen, Xinlei* and Zhang, Jun and Hu, Chun*. (2021). A Wearable Low-Power Collaborative Sensing System for High-Quality SSVEP-BCI Signal Acquisition. IEEE Internet of Things Journal, 9(10), 7273-7285.

    3. Chen, X.#, Xu, S.#, Liu, X., Xu, X., Noh, H.Y., Zhang, L. and Zhang, P., 2020. Adaptive Hybrid Model-enabled Sensing System (HMSS) for Mobile Fine-Grained Air Pollution Estimation. IEEE Transactions on Mobile Computing

    4. Chen, X.#, Xu, S.#, Han, J., Fu, H., Pi, X., Joe-Wong, C., Li, Y., Zhang, L., Noh, H.Y. and Zhang, P., 2020. PAS: Prediction-Based Actuation System for City-Scale Ridesharing Vehicular Mobile Crowdsensing. IEEE Internet of Things Journal, 7(5), pp.3719-3734.

    5. Chen, X., Ruiz, C., Zeng, S., Gao, L., Purohit, A., Carpin, S. and Zhang, P., 2020. H-DrunkWalk: Collaborative and Adaptive Navigation for Heterogeneous MAV Swarm. ACM Transactions on Sensor Networks (TOSN), 16(2), pp.1-27.

    6. Xu, S.#, Chen, X.#, Pi, X., Joe-Wong, C., Zhang, P. and Noh, H.Y., 2019. iLOCuS: Incentivizing vehicle mobility to optimize sensing distribution in crowd sensing. IEEE Transactions on Mobile Computing, 19(8), pp. 1831-1847.

    7. Chen, X.*, Zhao, Y. and Li, Y., 2019. Qoe-aware wireless video communications for emotion-aware intelligent systems: A multi-layered collaboration approach. Information Fusion, 47, pp.1-9.

    8. Chen, X., Wang, Y., He, J., Pan, S., Li, Y. and Zhang, P., 2019. Cap: Context-aware app usage prediction with heterogeneous graph embedding. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 3(1), pp.1-25.

    9. Chen, X.*, Zhao, Y., Li, Y., Chen, X., Ge, N. and Chen, S., 2018. Social trust aided D2D communications: Performance bound and implementation mechanism. IEEE Journal on Selected Areas in Communications, 36(7), pp.1593-1608.

    10. Chen, X., Zhu, Z., Chen, M. and Li, Y., 2018. Large-scale mobile fitness app usage analysis for smart health. IEEE Communications Magazine, 56(4), pp.46-52.

    11. Chen, X., Purohit, A., Pan, S., Ruiz, C., Han, J., Sun, Z., Mokaya, F., Tague, P. and Zhang, P., 2017. Design experiences in minimalistic flying sensor node platform through sensorfly. ACM Transactions on Sensor Networks (TOSN), 13(4), pp.1-37.

    12. Chen, X., Purohit, A., Dominguez, C.R., Carpin, S. and Zhang, P., 2015, November. Drunkwalk: Collaborative and adaptive planning for navigation of micro-aerial sensor swarms. In Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems (pp. 295-308).




  • Awards and Honors

    2017 Best Poster Award in IEEE/ACM IPSN

    2016 Best Poster Runner-Up in ACM SenSys

    2016 Best Demo Award in ACM SenSys

    2012 Excellent Master Dissertation of Tsinghua University