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Likun Fang
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2020 – today
- 2024
- [b1]Likun Fang:
Enhance Human-Computer Interaction through Wearable Haptic Interface Design. Karlsruhe Institute of Technology, Germany, 2024 - [c11]Yiran Huang, Yexu Zhou, Haibin Zhao, Likun Fang, Till Riedel, Michael Beigl:
ExTea: An Evolutionary Algorithm-Based Approach for Enhancing Explainability in Time-Series Models. ECML/PKDD (10) 2024: 429-446 - [c10]Likun Fang, Yunxiao Wang, Ercan Altinsoy:
Investigating the Design Space of Affective Touch on the Forearm Area. UIST (Adjunct Volume) 2024: 69:1-69:3 - 2023
- [j1]Likun Fang, Timo Müller, Erik Pescara, Nikola Fischer, Yiran Huang, Michael Beigl:
Investigating Passive Haptic Learning of Piano Songs Using Three Tactile Sensations of Vibration, Stroking and Tapping. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(3): 95:1-95:19 (2023) - [c9]Likun Fang, Erik Pescara, Patrick Reiter, Michael Beigl:
How Could I Learn Rhythm Better? Investigating Three Learning Signals for Passive Haptic Learning in Different Context. PETRA 2023: 279-283 - [i3]Yiran Huang, Yexu Zhou, Till Riedel, Likun Fang, Michael Beigl:
randomHAR: Improving Ensemble Deep Learners for Human Activity Recognition with Sensor Selection and Reinforcement Learning. CoRR abs/2307.07770 (2023) - 2022
- [c8]Likun Fang, Ting Zhu, Erik Pescara, Yiran Huang, Yexu Zhou, Michael Beigl:
DragTapVib: An On-Skin Electromagnetic Drag, Tap, and Vibration Actuator for Wearable Computing. AHs 2022: 203-211 - [c7]Likun Fang, Reimann Malte, Erik Pescara, Michael Beigl:
Investigate the Piano Learning Rate with Haptic Actuators in Mixed Reality. AHs 2022: 287-290 - [c6]Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl:
Universal Distributional Decision-Based Black-Box Adversarial Attack with Reinforcement Learning. ICONIP (3) 2022: 206-215 - [c5]Likun Fang, Dominik Flohs, Erik Pescara, Ting Zhu, Michael Beigl:
Investigation of On-Skin Electromagnetic Actuator for Signaling Direction via Tactile Cues. PETRA 2022: 303-304 - [c4]Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl:
Automatic Feature Engineering Through Monte Carlo Tree Search. ECML/PKDD (3) 2022: 581-598 - [i2]Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Likun Fang, Michael Beigl:
McXai: Local model-agnostic explanation as two games. CoRR abs/2201.01044 (2022) - [i1]Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl:
Universal Distributional Decision-based Black-box Adversarial Attack with Reinforcement Learning. CoRR abs/2211.08384 (2022) - 2021
- [c3]Likun Fang, Tobias Röddiger, Felix Schmid, Michael Beigl:
EarRecorder: A Multi-Device Earable Data Collection Toolkit. AHs 2021: 286-288 - [c2]Erik Pescara, Anton Stubenbord, Tobias Röddiger, Likun Fang, Michael Beigl:
Where Should I Look? Comparing Reference Frames for Spatial Tactile Cues. ISWC 2021: 68-72 - 2020
- [c1]Likun Fang, Tobias Röddiger, Hongye Sun, Norbert Willenbacher, Michael Beigl:
FLECTILE: 3D-printable soft actuators for wearable computing. ISWC 2020: 32-36
Coauthor Index
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