Ziqi Wang

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

• [2023.08] Our paper "Robust Finger Interactions with COTS Smartwatches via Unsupervised Siamese Adaptation" was accepted to UIST 2023.
• [2023.05] Our paper "Acuity " received the Best Paper Award (IoT Digital Twins Category) at the 8th ACM/IEEE Conference on Internet of Things Design and Implementation Conference (IoTDI 2023).
• [2023.05] Our paper "Heteroskedastic Geospatial Tracking with Distributed Camera Networks" was accepted to UAI 2023.
• [2023.01] Our paper "Acuity: Creating Realistic Digital Twins Through Multi-resolution Pointcloud Processing and Audiovisual Sensor Fusion" was accepted to IoTDI 2023. Please join the presentation by our undergrad researcher Jason Wu and the keynote by Prof. Srivastava at this year's CPS-IoT week!
• [2023.01] I will be interning with Qualcomm Incorporated this summer. See you in San Diego!
• [2022.11] Our paper "Capricorn: Towards Real-time Rich Scene Analysis Using RF-Vision Sensor Fusion" and an accompanying demo abstract was accepted to SenSys 2022. Come to talk to me in Boston!
• [2022.11] Our paper "Design and Deployment of a Multi-Modal Multi-Node Sensor Data Collection Platform" was published in DATA 2022.
• [2022.06] Our paper "Device-Free Human Activity Recognition Based on Dual-Channel Transformer Using WiFi Signals" was published in Wireless Communications and Mobile Computing.
• [2022.04] Our paper "AURITUS: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables was accepted by ACM IMWUT. Try out the toolkit here!
• [2022.03] I will be joining Samsung Research America (SRA) as an intern this summer. See you in Mountain View!
• [2022.03] Our poster "Making Vibration-based On-body Interaction Robust" was accepted by ICCPS 2022.
• [2021.12] I am teaching ECE M16/CS M51 "Logic Design of Digital Systems" as a teaching assistant in Winter 2022 Quarter.
• [2021.12] Passed the Ph.D. Oral Qualifying Examination. Ziqi is now a Ph.D. Candidate at UCLA.
• [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.

Selected Publications

• Heteroskedastic Geospatial Tracking with Distributed Camera Networks
  Colin Samplawski, Shiwei Fang, Ziqi Wang, Deepak Ganesan, Mani Srivastava, Benjamin Marlin
  In Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023)
  [PDF]
• Acuity: Creating Realistic Digital Twins Through Multi-resolution Pointcloud Processing and Audiovisual Sensor Fusion
  Jason Wu, Ziqi Wang, Ankur Sarker, and Mani B. Srivastava
  In Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation (IoTDI 2023)
  [PDF] [Code] [Slides]
• Capricorn: Towards Real-time Rich Scene Analysis Using RF-Vision Sensor Fusion
  Ziqi Wang, Ankur Sarker, Jason Wu, Derek Hua, Gaofeng Dong, Akash Deep Singh, Mani Srivastava
  In the 20th ACM Conference on Embedded Networked Sensor Systems (SenSys 2022)
  [PDF] [Demo Abstract] [Demo Video] [Poster] [Code] [Data] [Slides]
• Design and Deployment of a Multi-Modal Multi-Node Sensor Data Collection Platform
  Shiwei Fang, Ankur Sarker, Ziqi Wang, Mani Srivastava, Benjamin Marlin, Deepak Ganesan
  In the Fifth International SenSys+BuildSys Workshop on Data: Acquisition To Analysis (DATA '22)
  [PDF]
• Making Vibration-based On-body Interaction Robust
  Wenqiang Chen, Ziqi Wang, Pengrui Quan, Zhencan Peng, Shupei Lin, Mani Srivastava, and John Stankovic
  In Proceedings of the ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS 2022)
  [PDF]
• 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

Multimodal Sensing Platform and Dataset

We are designing and deploying a multi-modal multi-node sensor data collection platform that can be utilized for various data collection tasks with reproducibility and easy deployment.

Situational Awareness Construction Using Multimodal Sensor Fusion

Video scene analysis can detect and classify people and objects in the scene. Wireless vibrometry employs wireless signals to sense subtle vibrations from the objects and infer their internal states. The combination of these two constitutes a more comprehensive understanding of the scene.

Acoustic Vibration Extraction and Separation Using Ultra-wideband Radar

We present UWHear, a system that simultaneously recovers and separates sounds from multiple sources. UWHear employs Impulse Radio Ultra-Wideband (IR-UWB) technology to directly seperate reconstruct audio from sound source vibrations.

Other Facts about Me