Yang Liu

Yang Liu

Research Scientist @ Nokia Bell Labs | ex Marie Curie Research Fellow @ The University of Sheffield

Publications

  • Yang Liu, Fahim Kawsar, and Alessandro Montanari, “Demo: A Real-Time Multimodal Sensing and Feedback System for Closed-Loop Wearable Interaction Using OmniBuds,” Proceedings of ACM MobiCom’25 - the 31st Annual International Conference on Mobile Computing and Networking, 2025. [paper]

  • Yang Liu, and Alessandro Montanari, “EarFusion: Quality-Aware Fusion of In-Ear Audio and Photoplethysmography for Heart Rate Monitoring,” Proceedings of ACM IASA’25 - the 3rd ACM International Workshop on Intelligent Acoustic Systems and Applications (co-located with ACM MobiCom’25), 2025. [paper]

  • Yang Liu, SiYoung Jang, Alessandro Montanari, and Fahim Kawsar, “SPATIUM: A Context-Aware Machine Learning Framework for Immersive Spatiotemporal Health Understanding,” Proceedings of ACM NetAISys’25 - the 3rd International Workshop on Networked AI Systems (co-located with ACM MobiSys’25), 2025. [paper]

  • Liu Yang, Xiaofei Li, Xinheng Wang, Yang Liu, Naizheng Jia, Xinwei Gao, Shuyu Li, and Zhi Wang, “SwimSafe: A Smartphone-based Acoustic System for Water-Depth Detection and Hazard Alert,” IEEE Sensors Journal, vol. 25, no. 15, pp. 28919-28933, 2025. [paper]

  • Yang Liu, Fahim Kawsar, and Alessandro Montanari, “mmHvital: A Study on Head-Mounted mmWave Radar for Vital Sign Monitoring,” Proceedings of ACM HumanSys’25 - the 3rd International Workshop on Human-Centered Sensing, Modeling, and Intelligent Systems (co-located with ACM SenSys’25), 2025. [paper]

  • Yang Liu, Alessandro Montanari, Ashok Thangarajan, Khaldoon Al-Naimi, Andrea Ferlini, Ananta Narayanan Balaji, and Fahim Kawsar, “Demo: Multimodal Bio-Sensing and On-Device Machine Learning: Advancing Health Perception with OmniBuds,” Proceedings of ACM SenSys’25 - the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025. [paper]

  • Harshvardhan Takawale, Yang Liu, Khaldoon Al-Naimi, Fahim Kawsar, and Alessandro Montanari, “Towards Detecting Auditory Attention from in-Ear Muscle Contractions using Commodity Earbuds,” Proceedings of ICASSP 2025 - IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 1-5, IEEE, 2025. [paper]

  • Jiatao Quan, Khaldoon Al-Naimi, Xijia Wei, Yang Liu, Fahim Kawsar, Alessandro Montanari, and Ting Dang, “Cognitive Load Monitoring via Earable Acoustic Sensing,” Proceedings of ICASSP 2025 - IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 1-5, IEEE, 2025. [paper]

  • Irtaza Shahid, Khaldoon Al-Naimi, Ting Dang, Yang Liu, Fahim Kawsar, and Alessandro Montanari, “Towards Enabling DPOAE Estimation on Single-Speaker Earbuds,” Proceedings of ICASSP 2024 - IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 246-250, IEEE, 2024. [paper]

  • Alessandro Montanari, Ashok Thangarajan, Khaldoon Al-Naimi, Andrea Ferlini, Yang Liu, Ananta Narayanan Balaji, and Fahim Kawsar, “OmniBuds: A Sensory Earable Platform for Advanced Bio-Sensing and On-Device Machine Learning,” arXiv preprint arXiv:2410.04775, 2024. [paper]

  • Na Tang, Yang Liu, Xiaoli Chu, Ian F. Akyildiz, “Design, Modeling and Analysis of Underwater Acoustic Backscatter Communications,” Proceedings of IEEE ICC (International Computer Communications) Conf., Denver, Colorado, USA, June 2024. [paper]

  • Zhiyu Liu, Yang Liu, and Xiaoli Chu, “Reconfigurable-Intelligent-Surface-Assisted Indoor Millimeter-Wave Communications for Mobile Robots,” IEEE Internet of Things Journal, vol. 11, no. 1, pp. 1548-1557, Jan. 1, 2024. [paper]

  • Yang Liu, Na Tang, Xiaoli Chu, Yang Yang, and Jun Wang, “LPCSE: Neural Speech Enhancement through Linear Predictive Coding,” Proceedings of GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, 2022, pp. 5335-5341, 2022. [paper]

  • Yang Liu, Wuxiong Zhang, Yang Yang, Weidong Fang, Fei Qin, and Xuewu Dai, “RAMTEL: Robust Acoustic Motion Tracking using Extreme Learning Machine for Smart Cities,” IEEE Internet of Things Journal, 2019. [paper]

  • Yang Liu, Wuxiong Zhang, Yang Yang, Weidong Fang, Fei Qin, and Xuewu Dai, “PAMT: Phase-based Acoustic Motion Tracking in Multipath Fading Environments,” Proceedings of IEEE Conference on Computer Communications 2019 (INFOCOM’19). (Rank A, acceptance rate: 19.7%). [paper]

  • Yang Liu, Yang Yang, Weidong Fang, and Wuxiong Zhang, “Demo: Phase-based Acoustic Localization and Motion Tracking for Mobile Interaction,” Proceedings of ACM Multimedia conference (ACM MM’18). [paper]

  • Yang Liu, Yubing Wang, Weiwei Gao, Wuxiong Zhang, and Yang Yang, “A Novel Low-Cost Real-Time Power Measurement Platform for LoWPAN IoT Devices,” Mobile Information Systems, 2017.[paper]

  • Weidong Fang, Wuxiong Zhang, Wei Chen, Yang Liu, and Chaogang Tang, “TMSRS: Trust Management-based Secure Routing Scheme in Industrial Wireless Sensor Network with Fog Computing,” Wireless Networks, 2019. [paper]

  • Weidong Fang, Wuxiong Zhang, Yang Yang, Yang Liu, and Wei Chen, “A resilient trust management scheme for defending against reputation time-varying attacks based on BETA distribution,” Science China Information Sciences, 2017. [paper]