Robust Device-Free Proximity Detection Using Wifi. - Yuqian Hu; Muhammed Zahid Ozturk; Feng Zhang 016; Beibei Wang 001; Kuo J. Ray Liu (ICASSP, 2021)

Sound Recovery From Radio Signals. - Muhammed Zahid Ozturk; Chenshu Wu; Beibei Wang 001; K. J. Ray Liu (ICASSP, 2021)

Gait-based People Identification with Millimeter-Wave Radio. - Muhammed Zahid Ozturk; Chenshu Wu; Beibei Wang 001; K. J. Ray Liu (WF-IoT, 2021)

RadioMic: Sound Sensing via mmWave Signals. - Muhammed Zahid Ozturk; Chenshu Wu; Beibei Wang 001; K. J. Ray Liu (CoRR, 2021)

Toward mmWave-Based Sound Enhancement and Separation. - Muhammed Zahid Ozturk; Chenshu Wu; Beibei Wang 001; K. J. Ray Liu (ICASSP, 2022)

Beyond Microphone: mmWave-Based Interference-Resilient Voice Activity Detection. - Muhammed Zahid Ozturk; Chenshu Wu; Beibei Wang 001; Min Wu 001; K. J. Ray Liu (IASA@MobiSys, 2022)

GaitCube: Deep Data Cube Learning for Human Recognition With Millimeter-Wave Radio. - Muhammed Zahid Ozturk; Chenshu Wu; Beibei Wang 001; K. J. Ray Liu (IEEE Internet Things J., 2022)

RadioSES: mmWave-Based Audioradio Speech Enhancement and Separation System. - Muhammed Zahid Ozturk; Chenshu Wu; Beibei Wang 001; Min Wu 001; K. J. Ray Liu (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

RadioMic: Sound Sensing via Radio Signals. - Muhammed Zahid Ozturk; Chenshu Wu; Beibei Wang 001; K. J. Ray Liu (IEEE Internet Things J., 2023)

Robust Passive Proximity Detection Using Wi-Fi. - Yuqian Hu; Muhammed Zahid Ozturk; Beibei Wang 001; Chenshu Wu; Feng Zhang 016; K. J. Ray Liu (IEEE Internet Things J., 2023)

Audioradio Target Speech Detection and Extraction with mmWave Sensing. - Muhammed Zahid Ozturk; Beibei Wang 001; K. J. Ray Liu (MobiCom, 2024)

RadioVAD: mmWave-Based Noise and Interference-Resilient Voice Activity Detection. - Muhammed Zahid Ozturk; Chenshu Wu; Beibei Wang 001; Min Wu 001; K. J. Ray Liu (IEEE Internet Things J., 2024)

Poster Abstract: Robust Deep Learning Based Residential Occupancy Detection With WiFi. - Sakila S. Jayaweera; Muhammed Zahid Ozturk; Beibei Wang 001; K. J. Ray Liu (SenSys, 2025)