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@@ -75,15 +75,18 @@ <h2>Ziqi Wang</h2>
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<h3>Recent News</h3>
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<ul>
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<li>[2023.05] Our paper "<i>Heteroskedastic Geospatial Tracking with Distributed Camera Networks</i>" was accepted to UAI 2023.
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<li>[2023.01] Our paper "<i>Acuity: Creating Realistic Digital Twins Through Multi-resolution Pointcloud Processing and Audiovisual Sensor Fusion</i>" 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!
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<li>[2022.01] I will be interning with Qualcomm Incorporated this summer. See you in San Diego!
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<li>[2022.11] Our paper "<i>Capricorn: Towards Real-time Rich Scene Analysis Using RF-Vision Sensor Fusion</i>" and an accompanying demo abstract was accepted to SenSys 2022. Come to talk to me in Boston!
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<li>[2022.11] Our paper "<i>Design and Deployment of a Multi-Modal Multi-Node Sensor Data Collection Platform</i>" was published in DATA 2022.
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<li>[2022.06] Our paper "<i>Device-Free Human Activity Recognition Based on Dual-Channel Transformer Using WiFi Signals</i>" was published in <i>Wireless Communications and Mobile Computing<i></i>.
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<li>[2022.06] Our paper "<i>Device-Free Human Activity Recognition Based on Dual-Channel Transformer Using WiFi Signals</i>" was published in <i>Wireless Communications and Mobile Computing</i>.
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<li>[2022.04] Our paper "<i>AURITUS: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables</i> was accepted by ACM IMWUT. Try out the toolkit <ahref="https://github.com/nesl/auritus">here</a>!
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<li>[2022.03] I will be joining Samsung Research America (SRA) as an intern this summer. See you in Mountain View!
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<li>[2022.03] Our poster "<i>Making Vibration-based On-body Interaction Robust</i>" was accepted by ICCPS 2022.
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<li>[2021.12] I am teaching ECE M16/CS M51 "Logic Design of Digital Systems" as a teaching assistant in Winter 2022 Quarter.</li>
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<li>[2021.12] Passed the Ph.D. Oral Qualifying Examination. Ziqi is now a Ph.D. Candidate at UCLA.</li>
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<li>[2021.04] Our poster "<i>Protecting User Data Privacy with Adversarial Perturbations</i>" was accepted by IPSN 2021. Come to see us during the 2021 CPS-IOT Week at poster site 66!</li>
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<li>[2021.04] Our poster "<i>Protecting User Data Privacy with Adversarial Perturbations</i>" was accepted by IPSN 2021. Come to see us during the 2021 CPS-IoT Week at poster site 66!</li>
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<li>[2020.10] Our paper "<i>UWHear: Through-wall Extraction and Separation of Audio Vibrations Using Wireless Signals</i>" was accepted by SenSys 2020.</li>
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<li>[2020.06] Obtained M.S. Degree in Electrical and Computer Engineering at UCLA! Thesis entitled "<i>Towards Robust and Secure Audio Sensing Using Wireless Vibrometry and Deep Learning".</i></li>
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<h4>Multimodal Sensing Platform and Dataset</h4>
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<p>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.</p>
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<h4>Situational Awareness Construction Using Multimodal Sensor Fusion</h4>
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<p>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.</p>
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<h4>Acoustic Vibration Extraction Separation Using Ultra-wideband Radar</h4>
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<p>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.</p>
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