Likun Fang

According to our database, Likun Fang authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhance Human-Computer Interaction through Wearable Haptic Interface Design.

Likun Fang

PhD thesis, 2024

Investigating the Design Space of Affective Touch on the Forearm Area.

Likun Fang, Yunxiao Wang, Ercan Altinsoy

Proceedings of the Adjunct Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

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., September, 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

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

Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023

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

Automatic Feature Engineering Through Monte Carlo Tree Search.

Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Investigation of On-Skin Electromagnetic Actuator for Signaling Direction via Tactile Cues.

Likun Fang, Dominik Flohs, Erik Pescara, Ting Zhu, Michael Beigl

Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

Universal Distributional Decision-Based Black-Box Adversarial Attack with Reinforcement Learning.

Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl

Proceedings of the Neural Information Processing - 29th International Conference, 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

Proceedings of the AHs 2022: Augmented Humans 2022, Hybrid Event / Munich, Germany, March 13, 2022

Investigate the Piano Learning Rate with Haptic Actuators in Mixed Reality.

Likun Fang, Reimann Malte, Erik Pescara, Michael Beigl

Proceedings of the AHs 2022: Augmented Humans 2022, Hybrid Event / Munich, Germany, March 13, 2022

2021

Where Should I Look? Comparing Reference Frames for Spatial Tactile Cues.

Erik Pescara, Anton Stubenbord, Tobias Röddiger, Likun Fang, Michael Beigl

Proceedings of the ISWC 2021: Proceedings of the 2021 ACM International Symposium on Wearable Computers, 2021

EarRecorder: A Multi-Device Earable Data Collection Toolkit.

Likun Fang, Tobias Röddiger, Felix Schmid, Michael Beigl

Proceedings of the AHs '21: Augmented Humans Conference 2021, 2021

2020

FLECTILE: 3D-printable soft actuators for wearable computing.

Likun Fang, Tobias Röddiger, Hongye Sun, Norbert Willenbacher, Michael Beigl

Proceedings of the ISWC '20: 2020 ACM International Symposium on Wearable Computers, 2020