| 2026 | PERCOM | SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition. | Deepika Gurung, Lala Shakti Swarup Ray, Mengxi Liu, Bo Zhou, Paul Lukowicz |
| 2025 | DATE | Multi-Partner Project: Sustainable Textile Electronics (STELEC). | Bo Zhou, Mengxi Liu, Sizhen Bian, Daniel Geiler, Paul Lukowicz, Jos 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 | ISWC | From Neck to Head: Bio-Impedance Sensing for Head Pose Estimation. | Mengxi Liu, Lala Shakti Swarup Ray, Sizhen Bian, Ko Watanabe, Ankur Bhatt, Joanna Sorysz, Russel N. Torah, Bo Zhou, Paul Lukowicz |
| 2025 | ISWC | TinierHAR: Towards Ultra-Lightweight Deep Learning Models for Efficient Human Activity Recognition on Edge Devices. | Sizhen Bian, Mengxi Liu, Vtor Fortes Rey, Daniel Geiler, Paul Lukowicz |
| 2025 | ISWC | SImpHAR: Advancing Impedance-based Human Activity Recognition using 3D Simulation and Text to Motion Models. | Lala Shakti Swarup Ray, Mengxi Liu, Deepika Gurung, Bo Zhou, Sungho Suh, Paul Lukowicz |
| 2025 | PERCOM | Assessing the Impact of Sampling Irregularity in Time Series Data: Human Activity Recognition As A Case Study. | Mengxi Liu, Daniel Geiler, Sizhen Bian, Bo Zhou, Paul Lukowicz |
| 2024 | HIC | Initial Investigation of Kolmogorov-Arnold Networks (KANs) as Feature Extractors for IMU Based Human Activity Recognition. | Mengxi Liu, Daniel Geiler, Dominique Nshimyimana, Sizhen Bian, Bo Zhou, Paul Lukowicz |
| 2024 | ICPR | ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-Based Human Activity Recognition. | Lala Shakti Swarup Ray, Daniel Geiler, Mengxi Liu, Bo Zhou, Sungho Suh, Paul Lukowicz |
| 2024 | ISWC | On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface. | Sizhen Bian, Pixi Kang, Julian Moosmann, Mengxi Liu, Pietro Bonazzi, Roman Rosipal, Michele Magno |
| 2024 | ISWC | iKAN: Global Incremental Learning with KAN for Human Activity Recognition Across Heterogeneous Datasets. | Mengxi Liu, Sizhen Bian, Bo Zhou, Paul Lukowicz |
| 2024 | PERCOM | Impedance Sensing-Centered Pervasive and Wearable Activity Recognition on Edge Devices. | Mengxi Liu |
| 2024 | PERCOM | iMove: Exploring Bio-Impedance Sensing for Fitness Activity Recognition. | Mengxi Liu, Vtor Fortes Rey, Yu Zhang, Lala Shakti Swarup Ray, Bo Zhou, Paul Lukowicz |
| 2023 | PERCOM | 3D Hand Tracking with Induced Magnetic Field. | Sizhen Bian, Bo Zhou, Paul Lukowicz, Mengxi Liu, Michele Magno, Kexuan Guo |
| 2022 | IGARSS | A Deep Learning Method for Fined-Grained Urban Green Space Mapping. | Mengxi Liu, Jianlong Li, Zeteng Li, Qian Shi |
| 2022 | ISWC | Non-contact, real-time eye blink detection with capacitive sensing. | Mengxi Liu, Sizhen Bian, Paul Lukowicz |
| 2021 | IGARSS | DSAMNet: A Deeply Supervised Attention Metric Based Network for Change Detection of High-Resolution Images. | Mengxi Liu, Qian Shi |
| 2020 | IGARSS | Siamese Generative Adversarial Network for Change Detection Under Different Scales. | Mengxi Liu, Qian Shi, Penghua Liu, Cheng Wan |