Ziqi Wang

Ph.D. Student at UCLA

Ziqi Wang received his M.S degree at UCLA ECE Department in 2020, and his B.Eng. degree in Electrical Engineering from Fudan University, China in 2018. He is currently pursuing his Ph.D. Degree in the Signal and Systems area at UCLA. Working as a graduate student researcher at Networked and Embedded Systems Laboratory (NESL), he is under the supervision of Prof. Mani B. Srivastava.
His research interests generally lie in the area of Mobile Sensing, Mobile Computing, Signal Processing and Internet of Things, for example, detection and recognition of human activities with wireless sensing modalities. He is also interested in developing secure learning-enabled systems leading to fascinating applications, e.g., human-computer interaction and smart home management. Recently, he is devoted to design architectures for multimodal data collection and analysis, e.g, fusing the information from multiple sensors like camera, LiDAR, and UWB Radar to help robot systems build situational awareness.
Ziqi is recognized as the Outstanding Graduates of Fudan University in 2018, as well as Best Student Poster/Demo Honorable Mention at the ECE Annual Research Review of UCLA.

[Downloadable CV]

Recent News

  • [2021.04] Our poster "Protecting User Data Privacy with Adversarial Perturbations" was accepted by IPSN 2021. Come to see us during the 2021 CPS-IOT Week at poster site 66!
  • [2020.10] Our paper "UWHear: Through-wall Extraction and Separation of Audio Vibrations Using Wireless Signals" was accepted by SenSys 2020.
  • [2020.06] Obtained M.S. Degree in Electrical and Computer Engineering at UCLA! Thesis entitled "Towards Robust and Secure Audio Sensing Using Wireless Vibrometry and Deep Learning".
  • [2020.01] Passed Ph.D. Preliminary Examination.
  • [2019.09] Attended INTERSPEECH 2019. Willkommen in Graz!
  • [2019.08] Our paper "RemedIoT: Remedial Actions for Internet-of-Things Conflicts" was accepted by ACM BuildSys 2019.
  • [2019.06] Our paper "Deep Residual Neural Networks for Audio Spoofing Detection" was accepted by INTERSPEECH 2019
  • [2019.05] Awarded Best Student Poster/Demo Hornorable Mention at UCLA ECE Aunnual Research Review 2019
  • [2018.07] Our poster "ToiFall: Syncope Detection in Toilet Environments using Wi-Fi Channel State Information" was accepted to UbiComp 2018
  • [2018.07] Graduated from Fudan University with B.Eng in Electronics and Information Science and Technology, Minor in Data Science, and recognized as Outstanding Graduates in Shanghai.

Publications

  • Protecting User Data Privacy with Adversarial Perturbations
    Ziqi Wang, Brian Wang, and Mani B. Srivastava
    In Proceedings of the 20th International Conference on Information Processing in Sensor Networks (IPSN 2021)
    [PDF] [Video] [Poster]
  • UWHear: Through-wall Extraction and Separation of Audio Vibrations Using Wireless Signals
    Ziqi Wang, Zhe Chen, Akash Deep Singh, Luis Garcia, Jun Luo and Mani B. Srivastava
    In Proceedings of the 18th ACM Conference on Embedded Networked Sensor Systems (SenSys 2020)
    [PDF] [Slides] [Video] [Poster]
  • Remedial Actions for Internet-of-Things Conflicts
    Renju Liu, Ziqi Wang, Luis A. Garcia and Mani B. Srivastava
    In Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2019)
    [PDF]
  • Deep Residual Neural Networks for Audio Spoofing Detection
    Moustafa Alzantot*, Ziqi Wang* and Mani B. Srivastava
    In Proceedings of the 20th Annual Conference of the International Speech Communication Association (INTERSPEECH 2019, *Equal Contribution)
    [PDF] [Code]
  • Syncope Detection in Toilet Environments Using Wi-Fi Channel State Information
    Ziqi Wang, Zhihao Gu, Junwei Yin, Zhe Chen, and Yuedong Xu
    In Proceedings of 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (UbiComp 2018)
    [PDF] [Data]

Research Projects

Coming soon.

Other Facts About Me

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