Mengxi Liu

51 papers A* 1A 1Misc 6Journal 28Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoSS: Co-optimizing sensor and sampling rate for data-efficient human activity recognition.
Expert Syst. Appl.
Mengxi Liu, Zimin Zhao, Daniel Geißler, Bo Zhou, Sungho Suh, Paul Lukowicz
2026 J jnl
SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition.
CoRR
Deepika Gurung, Lala Shakti Swarup Ray, Mengxi Liu, Bo Zhou, Paul Lukowicz
2025 — conf
Assessing the Impact of Sampling Irregularity in Time Series Data: Human Activity Recognition As A Case Study.
PerCom Workshops
Mengxi Liu, Daniel Geißler, Sizhen Bian, Bo Zhou, Paul Lukowicz
2025 J jnl
Bridging Generalization and Personalization in Wearable Human Activity Recognition via On-Device Few-Shot Learning.
CoRR
Pixi Kang, Julian Moosmann, Mengxi Liu, Bo Zhou, Michele Magno, Paul Lukowicz, Sizhen Bian
2025 J jnl
Contrastive-representation IMU-based fitness activity recognition enhanced by bio-impedance sensing.
Pervasive Mob. Comput.
Mengxi Liu, Vítor Fortes Rey, Lala Shakti Swarup Ray, Bo Zhou, Paul Lukowicz
2025 — conf
Facial Gesture Recognition Using Bio-impedance Sensing.
AHs
Mengxi Liu, Daniel Geißler, Sizhen Bian, Joanna Sorysz, Bo Zhou, Paul Lukowicz
2025 Misc conf
From Neck to Head: Bio-Impedance Sensing for Head Pose Estimation.
ISWC
Mengxi Liu, Lala Shakti Swarup Ray, Sizhen Bian, Ko Watanabe, Ankur Bhatt, Joanna Sorysz, Russel N. Torah, Bo Zhou, Paul Lukowicz
2025 J jnl
From Neck to Head: Bio-Impedance Sensing for Head Pose Estimation.
CoRR
Mengxi Liu, Lala Shakti Swarup Ray, Sizhen Bian, Ko Watanabe, Ankur Bhatt, Joanna Sorysz, Russel N. Torah, Bo Zhou, Paul Lukowicz
2025 A conf
Multi-Partner Project: Sustainable Textile Electronics (STELEC).
DATE
Bo Zhou, Mengxi Liu, Sizhen Bian, Daniel Geißler, Paul Lukowicz, José Miranda, Jonathan Dan, David Atienza, Mohamed Amine Riahi, Norbert Wehn, Russel N. Torah, Sheng Yong, Jidong Liu, Stephen P. Beeby, Magdalena Kohler, Berit Greinke, Junchun Yu, Vincent Nierstrasz, Leila Sheldrick, Rebecca Stewart, Tommaso Nieri, Matteo Maccanti, Daniele S. Spinelli
2025 — conf
ODISI: On-Device Intelligence for Smart Interactions.
MobileHCI (Companion)
Bo Zhou, Passant El Agroudy, Paul Lukowicz, Daniel Geißler, Mengxi Liu, Sizhen Bian, David J. Cuartielles, Felix Dietz, Oliver Hein
2025 — conf
Passive Body-Area Electrostatic Field (Human Body Capacitance) for Ubiquitous Computing.
UbiComp Companion
Sizhen Bian, Mengxi Liu, Paul Lukowicz
2025 J jnl
QuKAN: A Quantum Circuit Born Machine approach to Quantum Kolmogorov Arnold Networks.
CoRR
Yannick Werner, Akash Malemath, Mengxi Liu, Vítor Fortes Rey, Nikolaos Palaiodimopoulos, Paul Lukowicz, Maximilian Kiefer-Emmanouilidis
2025 Misc conf
SImpHAR: Advancing Impedance-based Human Activity Recognition using 3D Simulation and Text to Motion Models.
ISWC
Lala Shakti Swarup Ray, Mengxi Liu, Deepika Gurung, Bo Zhou, Sungho Suh, Paul Lukowicz
2025 J jnl
SImpHAR: Advancing impedance-based human activity recognition using 3D simulation and text-to-motion models.
CoRR
Lala Shakti Swarup Ray, Mengxi Liu, Deepika Gurung, Bo Zhou, Sungho Suh, Paul Lukowicz
2025 — conf
Spend More to Save More (SM2): An Energy and Hardware-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization.
ARCS
Daniel Geißler, Mengxi Liu, Bo Zhou, Sungho Suh, Paul Lukowicz
2025 Misc conf
TinierHAR: Towards Ultra-Lightweight Deep Learning Models for Efficient Human Activity Recognition on Edge Devices.
ISWC
Sizhen Bian, Mengxi Liu, Vítor Fortes Rey, Daniel Geißler, Paul Lukowicz
2025 J jnl
TinierHAR: Towards Ultra-Lightweight Deep Learning Models for Efficient Human Activity Recognition on Edge Devices.
CoRR
Sizhen Bian, Mengxi Liu, Vítor Fortes Rey, Daniel Geissler, Paul Lukowicz
2025 J jnl
iBreath: Usage Of Breathing Gestures as Means of Interactions.
CoRR
Mengxi Liu, Daniel Geißler, Deepika Gurung, Hymalai Bello, Bo Zhou, Sizhen Bian, Paul Lukowicz, Passant Elagroudy
2025 J jnl
iBreath: Usage of Breathing Gestures as Means of Interactions MHCI016.
Proc. ACM Hum. Comput. Interact.
Mengxi Liu, Daniel Geißler, Deepika Gurung, Hymalai Bello, Bo Zhou, Sizhen Bian, Paul Lukowicz, Passant Elagroudy
2024 — conf
ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-Based Human Activity Recognition.
ICPR (29)
Lala Shakti Swarup Ray, Daniel Geißler, Mengxi Liu, Bo Zhou, Sungho Suh, Paul Lukowicz
2024 J jnl
ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-based Human Activity Recogntion.
CoRR
Lala Shakti Swarup Ray, Daniel Geißler, Mengxi Liu, Bo Zhou, Sungho Suh, Paul Lukowicz
2024 J jnl
Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey.
CoRR
Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz, Michele Magno
2024 J jnl
Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz, Michele Magno
2024 J jnl
CoSS: Co-optimizing Sensor and Sampling Rate for Data-Efficient AI in Human Activity Recognition.
CoRR
Mengxi Liu, Zimin Zhao, Daniel Geißler, Bo Zhou, Sungho Suh, Paul Lukowicz
2024 J jnl
Energy-efficient, low-latency, and non-contact eye blink detection with capacitive sensing.
Frontiers Comput. Sci.
Mengxi Liu, Sizhen Bian, Zimin Zhao, Bo Zhou, Paul Lukowicz
2024 J jnl
Enhancing Interpretability Through Loss-Defined Classification Objective in Structured Latent Spaces.
CoRR
Daniel Geissler, Bo Zhou, Mengxi Liu, Paul Lukowicz
2024 — conf
Heterogeneous Data in Health Applications: An Algorithmic Approach Leveraging Continual Learning.
MuC (Workshopband)
Mengxi Liu, Jakob Karolus, Bo Zhou, Paul Lukowicz
2024 — conf
Initial Investigation of Kolmogorov-Arnold Networks (KANs) as Feature Extractors for IMU Based Human Activity Recognition.
UbiComp Companion
Mengxi Liu, Daniel Geißler, Dominique Nshimyimana, Sizhen Bian, Bo Zhou, Paul Lukowicz
2024 J jnl
Initial Investigation of Kolmogorov-Arnold Networks (KANs) as Feature Extractors for IMU Based Human Activity Recognition.
CoRR
Mengxi Liu, Daniel Geißler, Dominique Nshimyimana, Sizhen Bian, Bo Zhou, Paul Lukowicz
2024 Misc conf
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface.
ISWC
Sizhen Bian, Pixi Kang, Julian Moosmann, Mengxi Liu, Pietro Bonazzi, Roman Rosipal, Michele Magno
2024 J jnl
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface.
CoRR
Sizhen Bian, Pixi Kang, Julian Moosmann, Mengxi Liu, Pietro Bonazzi, Roman Rosipal, Michele Magno
2024 — conf
The Power of Training: How Different Neural Network Setups Influence the Energy Demand.
ARCS
Daniel Geißler, Bo Zhou, Mengxi Liu, Sungho Suh, Paul Lukowicz
2024 J jnl
The Power of Training: How Different Neural Network Setups Influence the Energy Demand.
CoRR
Daniel Geißler, Bo Zhou, Mengxi Liu, Sungho Suh, Paul Lukowicz
2024 J jnl
Towards certifiable AI in aviation: landscape, challenges, and opportunities.
CoRR
Hymalai Bello, Daniel Geißler, Lala Shakti Swarup Ray, Stefan Müller-Divéky, Peter Müller, Shannon Kittrell, Mengxi Liu, Bo Zhou, Paul Lukowicz
2024 — conf
iFace: Hand-Over-Face Gesture Recognition Leveraging Impedance Sensing.
AHs
Mengxi Liu, Hymalai Bello, Bo Zhou, Paul Lukowicz, Jakob Karolus
2024 J jnl
iFace: Hand-Over-Face Gesture Recognition Leveraging Impedance Sensing.
CoRR
Mengxi Liu, Hymalai Bello, Bo Zhou, Paul Lukowicz, Jakob Karolus
2024 Misc conf
iKAN: Global Incremental Learning with KAN for Human Activity Recognition Across Heterogeneous Datasets.
ISWC
Mengxi Liu, Sizhen Bian, Bo Zhou, Paul Lukowicz
2024 J jnl
iKAN: Global Incremental Learning with KAN for Human Activity Recognition Across Heterogeneous Datasets.
CoRR
Mengxi Liu, Sizhen Bian, Bo Zhou, Paul Lukowicz
2024 A* conf
iMove: Exploring Bio-Impedance Sensing for Fitness Activity Recognition.
PerCom
Mengxi Liu, Vítor Fortes Rey, Yu Zhang, Lala Shakti Swarup Ray, Bo Zhou, Paul Lukowicz
2024 J jnl
iMove: Exploring Bio-impedance Sensing for Fitness Activity Recognition.
CoRR
Mengxi Liu, Vítor Fortes Rey, Yu Zhang, Lala Shakti Swarup Ray, Bo Zhou, Paul Lukowicz
2023 — conf
3D Hand Tracking with Induced Magnetic Field.
PerCom Workshops
Sizhen Bian, Bo Zhou, Paul Lukowicz, Mengxi Liu, Michele Magno, Kexuan Guo
2023 — conf
FieldHAR: A Fully Integrated End-to-End RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors.
ASAP
Mengxi Liu, Bo Zhou, Zimin Zhao, Hyeonseok Hong, Hyun Kim, Sungho Suh, Vítor Fortes Rey, Paul Lukowicz
2023 J jnl
FieldHAR: A Fully Integrated End-to-end RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors.
CoRR
Mengxi Liu, Bo Zhou, Zimin Zhao, Hyeonseok Hong, Hyun Kim, Sungho Suh, Vítor Fortes Rey, Paul Lukowicz
2023 — conf
iEat: Human-food interaction with bio-impedance sensing.
UbiComp/ISWC Adjunct
Mengxi Liu, Yu Zhang, Bo Zhou, Sizhen Bian, Agnes Grünerbl, Paul Lukowicz
2022 J jnl
Magnetic Field Based Hand Tracking.
CoRR
Sizhen Bian, Kexuan Guo, Mengxi Liu, Bo Zhou, Paul Lukowicz
2022 Misc conf
Non-contact, real-time eye blink detection with capacitive sensing.
ISWC
Mengxi Liu, Sizhen Bian, Paul Lukowicz
2022 — conf
Smart Cup: An impedance sensing based fluid intake monitoring system for beverages classification and freshness detection.
UbiComp/ISWC Adjunct
Mengxi Liu, Sizhen Bian, Bo Zhou, Agnes Grünerbl, Paul Lukowicz
2022 J jnl
Smart Cup: An impedance sensing based fluid intake monitoring system for beverages classification and freshness detection.
CoRR
Mengxi Liu, Sizhen Bian, Bo Zhou, Agnes Grünerbl, Paul Lukowicz
2022 — conf
Smart-Badge: A wearable badge with multi-modal sensors for kitchen activity recognition.
UbiComp/ISWC Adjunct
Mengxi Liu, Sungho Suh, Bo Zhou, Agnes Grünerbl, Paul Lukowicz
2022 J jnl
Smart-Badge: A wearable badge with multi-modal sensors for kitchen activity recognition.
CoRR
Mengxi Liu, Sungho Suh, Bo Zhou, Agnes Grünerbl, Paul Lukowicz
2022 J jnl
The State-of-the-Art Sensing Techniques in Human Activity Recognition: A Survey.
Sensors
Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz