Dr. Hui Liu

Enrique-Schmidt-Str. 5
Cartesium, Room 2.14
28359 Bremen

+49(0)421-218-64278

hui.liuprotect me ?!uni-bremenprotect me ?!.de

Google Scholar

0000-0002-6850-9570

I studied electrical engineering at the Technical University of Berlin (Dipl.-Ing., 2009) and information and communication systems at Shanghai Jiao Tong University (M.Sc., 2011). Since 2016, I have been a researcher for biosignal processing, human activity recognition, virtual reality, music information retrieval, and multidisciplinary application of AI at the Cognitive Systems Lab of the University of Bremen, where I received my Ph.D. (2021). I am co-responsible for four multipartner projects: Arthrokinemat (intelligent knee bandage), IntEL4CoRo (interactive learning for cognitive robotics), NF-BWB (young talent development), and SEED (reflecting artificial biosignals for human robot interaction). I developed the first smart knee bandage that recognizes users' activities in real-time (Best Student Paper, BIODEVICES 2019) and proposed Motion Units, an activity modeling method with interpretability, generalizability, and expandability, rationalizing kinesiology and speech recognition knowledge into human activity research (2021). Three papers on high-level feature design (co-author), music signal processing (first author), and EMG-based AUR (co-author) were/are the Best Paper Finalists by BIOSIGNALS 2022, SIGMAP 2022, and BIODEVICES 2025, respectively. Eight articles for which I am the single first or/and corresponding author were marked as "Highly Cited Paper" (top 1%) and "Hot paper" (top 0.1%) by World of Science. I collected and released the 19-channel, 22-activity, 20-subject human activity dataset CSL-SHARE (2021). A dataset of ECG acquisition artifacts called sensORder was published under my guidance (2024). I received the following third-party funding and awards: the Erasmus Teaching Mobility Award (2018), the CAMPUSiDEEN Public Choice Award for advanced sensing and recognition technology (2022), and the YERUN Research Mobility Award (2022/2023). I have served as Co-Chair, Co-PC, Co-TPC, AC, or Publicity Chair for over ten important international conferences, including 33^rd ICANN, 17^th BIOSIGNALS, and 7^th ABC. I am an editorial member of several international journals, and was awarded Sensors 2023 Outstanding Reviewer.

Recently, my international collaboration has expanded to AI for energy efficiency and smart building, assistance tool for amateur singers and exoskeletons, among others, for which a considerable number of topics are carried out in parallel. I always eagerly await new interdisciplinary and cross-border cooperation in various fields!

Selected awards for scientific publications

2019 Best Student Paper Award, first author, BIODEVICES (BIOSTEC), with Schultz, : A Wearable Real-Time Human Activity Recognition System using Biosensors Integrated into a Knee Bandage

2022 Best Student Paper Finalist, second author, BIOSIGNALS (BIOSTEC), with Y. Hartmann and T. Schultz: Interpretable High-Level Features for Human Activity Recognition

2022 Best Paper Finalist, first author, SIGMAP, with T. Xue and T. Schultz: Merged Pitch Histogram and Pitch-Duration Histogram

2023 Hot Paper (top 0.1% in Engineering) and Highly Cited Paper (top 1% in Engineering) by World of Science (WoS), corresponding author, IEEE Access, mit M. K. A. Jannat, M. S. Islam, und S-H Yang: Efficient Wi-Fi-Based Human Activity Recognition Using Adaptive Antenna Elimination

2023 Hot Paper and Highly Cited Paper in Biology & Biochemistry by WoS, corresponding author, Front. Physiol., mit L. Cai, S. Yan, C. Ouyang, T. Zhang, J. Zhu, L. Chen, und X. Ma: Muscle Synergies in Joystick Manipulation

2023 Hot Paper and Highly Cited Paper in Biology & Biochemistry by WoS, corresponding author, Front. Physiol., mit J. Li, JW. Li, C. Wang, F. J. Verbeek, and T. Schultz: Outlier detection using iterative adaptive mini-minimum spanning tree generation with applications on medical data

2024 Hot Paper and Highly Cited Paper in Engineering by WoS, first and corresponding author, IEEE Sensors, mit S. Zhang, H. Gamboa, T. Xue, C. Zhou, und T. Schultz: Taxonomy and Real-Time Classification of Artifacts during Biosignal Acquisition: A Starter Study and Dataset of ECG

2024 Hot Paper and Highly Cited Paper in Biology & Biochemistry by WoS, corresponding author, Front. Physiol., mit D. Khan, M. Alonazi, M. Abdelhaq, N. Al Mudawi, A. Algarni, and A. Jalal: Robust human locomotion and localization activity recognition over multisensory

2025 Best Paper Finalist (to be determined), co-author, BIODEVICES (BIOSTEC), with D. Küster, R. A. Rammohan, T. Schultz, and R. Koschke: The Bigger the Better? Towards EMG-Based Single-Trial Action Unit Recognition of Subtle Expressions