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ORCIDMengxi Liu 0004
Person information
- affiliation: German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany
Other persons with the same name
- Mengxi Liu — disambiguation page
- Mengxi Liu 0001
![[0000-0001-5237-4758]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5237-4758")
— Sun Yat-sen University, Guangzhou, Guangdong, China - Mengxi Liu 0002 — Ocean University of China, Qingdao, China
- Mengxi Liu 0003 — ZhengZhou University, China
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2020 – today
- 2025
[j5]Mengxi Liu, Daniel Geißler, Deepika Gurung, Hymalai Bello, Bo Zhou, Sizhen Bian, Paul Lukowicz, Passant Elagroudy:
iBreath: Usage of Breathing Gestures as Means of Interactions MHCI016. Proc. ACM Hum. Comput. Interact. 9(5): 1-37 (2025)- [j4]Mengxi Liu, Vítor Fortes Rey, Lala Shakti Swarup Ray, Bo Zhou, Paul Lukowicz:
Contrastive-representation IMU-based fitness activity recognition enhanced by bio-impedance sensing. Pervasive Mob. Comput. 110: 102047 (2025) - [c18]Daniel Geißler, Mengxi Liu, Bo Zhou, Sungho Suh, Paul Lukowicz:
Spend More to Save More (SM2): An Energy and Hardware-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization. ARCS 2025: 140-155 - [c17]Mengxi Liu, Daniel Geißler, Sizhen Bian, Joanna Sorysz, Bo Zhou, Paul Lukowicz:
Facial Gesture Recognition Using Bio-impedance Sensing. AHs 2025: 491-493 - [c16]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 Spinelli:
Multi-Partner Project: Sustainable Textile Electronics (STELEC). DATE 2025: 1-5 - [c15]Bo Zhou, Passant El Agroudy, Paul Lukowicz, Daniel Geißler, Mengxi Liu, Sizhen Bian, David J. Cuartielles, Felix Dietz, Oliver Hein:
ODISI: On-Device Intelligence for Smart Interactions. MobileHCI (Companion) 2025: 30:1-30:5 - [c14]Mengxi Liu, Daniel Geißler, Sizhen Bian, Bo Zhou, Paul Lukowicz:
Assessing the Impact of Sampling Irregularity in Time Series Data: Human Activity Recognition As A Case Study. PerCom Workshops 2025: 311-316 - [i21]Yannick Werner, Akash Malemath, Mengxi Liu, Vítor Fortes Rey, Nikolaos Palaiodimopoulos, Paul Lukowicz, Maximilian Kiefer-Emmanouilidis:
QuKAN: A Quantum Circuit Born Machine approach to Quantum Kolmogorov Arnold Networks. CoRR abs/2506.22340 (2025) - [i20]Mengxi Liu, Daniel Geißler, Deepika Gurung, Hymalai Bello, Bo Zhou, Sizhen Bian, Paul Lukowicz, Passant Elagroudy:
iBreath: Usage Of Breathing Gestures as Means of Interactions. CoRR abs/2507.04162 (2025) - [i19]Lala Shakti Swarup Ray, Mengxi Liu, Deepika Gurung, Bo Zhou, Sungho Suh, Paul Lukowicz:
SImpHAR: Advancing impedance-based human activity recognition using 3D simulation and text-to-motion models. CoRR abs/2507.06405 (2025) - [i18]Sizhen Bian, Mengxi Liu, Vítor Fortes Rey, Daniel Geissler, Paul Lukowicz:
TinierHAR: Towards Ultra-Lightweight Deep Learning Models for Efficient Human Activity Recognition on Edge Devices. CoRR abs/2507.07949 (2025) - [i17]Mengxi Liu, Lala Shakti Swarup Ray, Sizhen Bian, Ko Watanabe, Ankur Bhatt, Joanna Sorysz, Russel N. Torah, Bo Zhou, Paul Lukowicz:
From Neck to Head: Bio-Impedance Sensing for Head Pose Estimation. CoRR abs/2507.12884 (2025) - [i16]Pixi Kang, Julian Moosmann, Mengxi Liu, Bo Zhou, Michele Magno, Paul Lukowicz, Sizhen Bian:
Bridging Generalization and Personalization in Wearable Human Activity Recognition via On-Device Few-Shot Learning. CoRR abs/2508.15413 (2025) - 2024
- [j3]Mengxi Liu, Sizhen Bian, Zimin Zhao, Bo Zhou, Paul Lukowicz:
Energy-efficient, low-latency, and non-contact eye blink detection with capacitive sensing. Frontiers Comput. Sci. 6 (2024) - [j2]Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz, Michele Magno:
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. 8(1): 4:1-4:49 (2024) - [c13]Daniel Geißler, Bo Zhou, Mengxi Liu, Sungho Suh, Paul Lukowicz:
The Power of Training: How Different Neural Network Setups Influence the Energy Demand. ARCS 2024: 33-47 - [c12]Mengxi Liu, Hymalai Bello, Bo Zhou, Paul Lukowicz, Jakob Karolus:
iFace: Hand-Over-Face Gesture Recognition Leveraging Impedance Sensing. AHs 2024: 131-137 - [c11]Lala Shakti Swarup Ray, Daniel Geißler, Mengxi Liu, Bo Zhou, Sungho Suh, Paul Lukowicz:
ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-Based Human Activity Recognition. ICPR (29) 2024: 133-147 - [c10]Sizhen Bian, Pixi Kang, Julian Moosmann, Mengxi Liu, Pietro Bonazzi, Roman Rosipal, Michele Magno:
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface. ISWC 2024: 9-16 - [c9]Mengxi Liu, Sizhen Bian, Bo Zhou, Paul Lukowicz:
iKAN: Global Incremental Learning with KAN for Human Activity Recognition Across Heterogeneous Datasets. ISWC 2024: 89-95 - [c8]Mengxi Liu, Jakob Karolus, Bo Zhou, Paul Lukowicz:
Heterogeneous Data in Health Applications: An Algorithmic Approach Leveraging Continual Learning. MuC (Workshopband) 2024 - [c7]Mengxi Liu, Vítor Fortes Rey, Yu Zhang, Lala Shakti Swarup Ray, Bo Zhou, Paul Lukowicz:
iMove: Exploring Bio-Impedance Sensing for Fitness Activity Recognition. PerCom 2024: 194-205 - [i15]Daniel Geißler, Bo Zhou, Mengxi Liu, Sungho Suh, Paul Lukowicz:
The Power of Training: How Different Neural Network Setups Influence the Energy Demand. CoRR abs/2401.01851 (2024) - [i14]Mengxi Liu, Zimin Zhao, Daniel Geißler, Bo Zhou, Sungho Suh, Paul Lukowicz:
CoSS: Co-optimizing Sensor and Sampling Rate for Data-Efficient AI in Human Activity Recognition. CoRR abs/2401.05426 (2024) - [i13]Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz, Michele Magno:
Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey. CoRR abs/2401.06000 (2024) - [i12]Mengxi Liu, Vítor Fortes Rey, Yu Zhang, Lala Shakti Swarup Ray, Bo Zhou, Paul Lukowicz:
iMove: Exploring Bio-impedance Sensing for Fitness Activity Recognition. CoRR abs/2402.09445 (2024) - [i11]Mengxi Liu, Hymalai Bello, Bo Zhou, Paul Lukowicz, Jakob Karolus:
iFace: Hand-Over-Face Gesture Recognition Leveraging Impedance Sensing. CoRR abs/2403.18433 (2024) - [i10]Mengxi Liu, Sizhen Bian, Bo Zhou, Paul Lukowicz:
iKAN: Global Incremental Learning with KAN for Human Activity Recognition Across Heterogeneous Datasets. CoRR abs/2406.01646 (2024) - [i9]Mengxi Liu, Daniel Geißler, Dominique Nshimyimana, Sizhen Bian, Bo Zhou, Paul Lukowicz:
Initial Investigation of Kolmogorov-Arnold Networks (KANs) as Feature Extractors for IMU Based Human Activity Recognition. CoRR abs/2406.11914 (2024) - [i8]Lala Shakti Swarup Ray, Daniel Geißler, Mengxi Liu, Bo Zhou, Sungho Suh, Paul Lukowicz:
ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-based Human Activity Recogntion. CoRR abs/2408.09527 (2024) - [i7]Sizhen Bian, Pixi Kang, Julian Moosmann, Mengxi Liu, Pietro Bonazzi, Roman Rosipal, Michele Magno:
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface. CoRR abs/2409.00083 (2024) - [i6]Hymalai Bello, Daniel Geißler, Lala Shakti Swarup Ray, Stefan Müller-Divéky, Peter Müller, Shannon Kittrell, Mengxi Liu, Bo Zhou, Paul Lukowicz:
Towards certifiable AI in aviation: landscape, challenges, and opportunities. CoRR abs/2409.08666 (2024) - [i5]Daniel Geissler, Bo Zhou, Mengxi Liu, Paul Lukowicz:
Enhancing Interpretability Through Loss-Defined Classification Objective in Structured Latent Spaces. CoRR abs/2412.08515 (2024) - 2023
- [c6]Mengxi Liu, Bo Zhou, Zimin Zhao, Hyeonseok Hong, Hyun Kim, Sungho Suh, Vítor Fortes Rey, Paul Lukowicz:
FieldHAR: A Fully Integrated End-to-End RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors. ASAP 2023: 110-118 - [c5]Mengxi Liu, Yu Zhang, Bo Zhou, Sizhen Bian, Agnes Grünerbl, Paul Lukowicz:
iEat: Human-food interaction with bio-impedance sensing. UbiComp/ISWC Adjunct 2023: 207 - [c4]Sizhen Bian, Bo Zhou, Paul Lukowicz, Mengxi Liu, Michele Magno, Kexuan Guo:
3D Hand Tracking with Induced Magnetic Field. PerCom Workshops 2023: 589-594 - [i4]Mengxi Liu, Bo Zhou, Zimin Zhao, Hyeonseok Hong, Hyun Kim, Sungho Suh, Vítor Fortes Rey, Paul Lukowicz:
FieldHAR: A Fully Integrated End-to-end RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors. CoRR abs/2305.12824 (2023) - 2022
- [j1]Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz:
The State-of-the-Art Sensing Techniques in Human Activity Recognition: A Survey. Sensors 22(12): 4596 (2022) - [c3]Mengxi Liu, Sizhen Bian, Bo Zhou, Agnes Grünerbl, Paul Lukowicz:
Smart Cup: An impedance sensing based fluid intake monitoring system for beverages classification and freshness detection. UbiComp/ISWC Adjunct 2022: 78-80 - [c2]Mengxi Liu, Sungho Suh, Bo Zhou, Agnes Grünerbl, Paul Lukowicz:
Smart-Badge: A wearable badge with multi-modal sensors for kitchen activity recognition. UbiComp/ISWC Adjunct 2022: 356-363 - [c1]Mengxi Liu, Sizhen Bian, Paul Lukowicz:
Non-contact, real-time eye blink detection with capacitive sensing. ISWC 2022: 49-53 - [i3]Sizhen Bian, Kexuan Guo, Mengxi Liu, Bo Zhou, Paul Lukowicz:
Magnetic Field Based Hand Tracking. CoRR abs/2207.08464 (2022) - [i2]Mengxi Liu, Sungho Suh, Bo Zhou, Agnes Grünerbl, Paul Lukowicz:
Smart-Badge: A wearable badge with multi-modal sensors for kitchen activity recognition. CoRR abs/2210.00888 (2022) - [i1]Mengxi Liu, Sizhen Bian, Bo Zhou, Agnes Grünerbl, Paul Lukowicz:
Smart Cup: An impedance sensing based fluid intake monitoring system for beverages classification and freshness detection. CoRR abs/2210.06285 (2022)
Coauthor Index
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