FLECTILE: 3D-printable soft actuators for wearable computing. - Likun Fang; Tobias Röddiger; Hongye Sun; Norbert Willenbacher; Michael Beigl (ISWC, 2020)

EarRecorder: A Multi-Device Earable Data Collection Toolkit. - Likun Fang; Tobias Röddiger; Felix Schmid; Michael Beigl (AHs, 2021)

Where Should I Look? Comparing Reference Frames for Spatial Tactile Cues. - Erik Pescara; Anton Stubenbord; Tobias Röddiger; Likun Fang; Michael Beigl (ISWC, 2021)

Investigate the Piano Learning Rate with Haptic Actuators in Mixed Reality. - Likun Fang; Reimann Malte; Erik Pescara; Michael Beigl (AHs, 2022)

DragTapVib: An On-Skin Electromagnetic Drag, Tap, and Vibration Actuator for Wearable Computing. - Likun Fang; Ting Zhu; Erik Pescara; Yiran Huang; Yexu Zhou; Michael Beigl (AHs, 2022)

Universal Distributional Decision-Based Black-Box Adversarial Attack with Reinforcement Learning. - Yiran Huang; Yexu Zhou; Michael Hefenbrock; Till Riedel; Likun Fang; Michael Beigl (ICONIP (3), 2022)

Investigation of On-Skin Electromagnetic Actuator for Signaling Direction via Tactile Cues. - Likun Fang; Dominik Flohs; Erik Pescara; Ting Zhu; Michael Beigl (PETRA, 2022)

Automatic Feature Engineering Through Monte Carlo Tree Search. - Yiran Huang; Yexu Zhou; Michael Hefenbrock; Till Riedel; Likun Fang; Michael Beigl (ECML/PKDD (3), 2022)

McXai: Local model-agnostic explanation as two games. - Yiran Huang; Nicole Schaal; Michael Hefenbrock; Yexu Zhou; Till Riedel; Likun Fang; Michael Beigl (CoRR, 2022)

How Could I Learn Rhythm Better? Investigating Three Learning Signals for Passive Haptic Learning in Different Context. - Likun Fang; Erik Pescara; Patrick Reiter; Michael Beigl (PETRA, 2023)

randomHAR: Improving Ensemble Deep Learners for Human Activity Recognition with Sensor Selection and Reinforcement Learning. - Yiran Huang; Yexu Zhou; Till Riedel; Likun Fang; Michael Beigl (CoRR, 2023)

Investigating Passive Haptic Learning of Piano Songs Using Three Tactile Sensations of Vibration, Stroking and Tapping. - Likun Fang; Timo Müller; Erik Pescara; Nikola Fischer; Yiran Huang; Michael Beigl (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

ExTea: An Evolutionary Algorithm-Based Approach for Enhancing Explainability in Time-Series Models. - Yiran Huang; Yexu Zhou; Haibin Zhao; Likun Fang; Till Riedel; Michael Beigl (ECML/PKDD (10), 2024)

Investigating the Design Space of Affective Touch on the Forearm Area. - Likun Fang; Yunxiao Wang; M. Ercan Altinsoy (UIST (Adjunct Volume), 2024)

Enhance Human-Computer Interaction through Wearable Haptic Interface Design. - Likun Fang (2024)