Likun Fang
Karlsruhe Institute of Technology (KIT)
Campus Süd
Institute of Telematics
Chair for Pervasive Computing Systems / TECO
Vincenz-Prießnitz-Straße 1
76131 Karlsruhe
Germany
Building 07.07, Room 206
email: fang(at)teco.edu
Personal Web: Check out here to know more about me!
SHORT CV
- 2019.12 – now PhD student at TECO/KIT
- 2017-2018 Master degree in Robotics at University of Bristol, UK
- 2013-2017 Bachelor degree in Mechanical Engineering at NEU, China
RESEARCH INTERESTS
- Human-Computer-Interaction (HCI)
- Wearable Computing
- On-skin interface
- Smart actuator
2024
ExTea: An Evolutionary Algorithm-Based Approach for Enhancing Explainability in Time-Series Models
Huang, Y.; Zhou, Y.; Zhao, H.; Fang, L.; Riedel, T.; Beigl, M.
2024. Springer. doi:10.5445/IR/1000171098
Huang, Y.; Zhou, Y.; Zhao, H.; Fang, L.; Riedel, T.; Beigl, M.
2024. Springer. doi:10.5445/IR/1000171098
Enhance Human-Computer Interaction through Wearable Haptic Interface Design. Dissertation
Fang, L.
2024, Juli 1. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000171888
Fang, L.
2024, Juli 1. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000171888
2023
Investigating Passive Haptic Learning of Piano Songs Using Three Tactile Sensations of Vibration, Stroking and Tapping
Fang, L.; Müller, T.; Pescara, E.; Fischer, N.; Huang, Y.; Beigl, M.
2023. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 7 (3), 1–19. doi:10.1145/3610899
Fang, L.; Müller, T.; Pescara, E.; Fischer, N.; Huang, Y.; Beigl, M.
2023. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 7 (3), 1–19. doi:10.1145/3610899
How Could I Learn Rhythm Better? Investigating Three Learning Signals for Passive Haptic Learning in Different Context
Fang, L.; Pescara, E.; Reiter, P.; Beigl, M.
2023. Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 279 – 283, Association for Computing Machinery (ACM). doi:10.1145/3594806.3594807
Fang, L.; Pescara, E.; Reiter, P.; Beigl, M.
2023. Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 279 – 283, Association for Computing Machinery (ACM). doi:10.1145/3594806.3594807
Universal Distributional Decision-Based Black-Box Adversarial Attack with Reinforcement Learning
Huang, Y.; Zhou, Y.; Hefenbrock, M.; Riedel, T.; Fang, L.; Beigl, M.
2023. Neural Information Processing – 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings. Part III. Ed.: M. Tanveer, 206 – 215, Springer International Publishing. doi:10.1007/978-3-031-30111-7_18
Huang, Y.; Zhou, Y.; Hefenbrock, M.; Riedel, T.; Fang, L.; Beigl, M.
2023. Neural Information Processing – 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings. Part III. Ed.: M. Tanveer, 206 – 215, Springer International Publishing. doi:10.1007/978-3-031-30111-7_18
Automatic Feature Engineering Through Monte Carlo Tree Search
Huang, Y.; Zhou, Y.; Hefenbrock, M.; Riedel, T.; Fang, L.; Beigl, M.
2023. Machine Learning and Knowledge Discovery in Databases – European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part III. Ed.: M.-R. Amini, 581–598, Springer Nature Switzerland. doi:10.1007/978-3-031-26409-2_35
Huang, Y.; Zhou, Y.; Hefenbrock, M.; Riedel, T.; Fang, L.; Beigl, M.
2023. Machine Learning and Knowledge Discovery in Databases – European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part III. Ed.: M.-R. Amini, 581–598, Springer Nature Switzerland. doi:10.1007/978-3-031-26409-2_35
2022
Investigation of On-Skin Electromagnetic Actuator for Signaling Direction via Tactile Cues
Fang, L.; Flohs, D.; Pescara, E.; Zhu, T.; Beigl, M.
2022. Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments, 303–304, Association for Computing Machinery (ACM). doi:10.1145/3529190.3534751
Fang, L.; Flohs, D.; Pescara, E.; Zhu, T.; Beigl, M.
2022. Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments, 303–304, Association for Computing Machinery (ACM). doi:10.1145/3529190.3534751
Investigate the Piano Learning Rate with Haptic Actuators in Mixed Reality
Fang, L.; Malte, R.; Pescara, E.; Beigl, M.
2022. Augmented Humans 2022. Ed.: M. Mochimaru, 287–290, Association for Computing Machinery (ACM). doi:10.1145/3519391.3524174
Fang, L.; Malte, R.; Pescara, E.; Beigl, M.
2022. Augmented Humans 2022. Ed.: M. Mochimaru, 287–290, Association for Computing Machinery (ACM). doi:10.1145/3519391.3524174
DragTapVib: An On-Skin Electromagnetic Drag, Tap, and Vibration Actuator for Wearable Computing
Fang, L.; Zhu, T.; Pescara, E.; Huang, Y.; Zhou, Y.; Beigl, M.
2022. Augmented Humans 2022. Ed.: M. Mochimaru, 203–211, Association for Computing Machinery (ACM). doi:10.1145/3519391.3519395
Fang, L.; Zhu, T.; Pescara, E.; Huang, Y.; Zhou, Y.; Beigl, M.
2022. Augmented Humans 2022. Ed.: M. Mochimaru, 203–211, Association for Computing Machinery (ACM). doi:10.1145/3519391.3519395
McXai: Local model-agnostic explanation as two games
Huang, Y.; Schaal, N.; Hefenbrock, M.; Zhou, Y.; Riedel, T.; Fang, L.; Beigl, M.
2022
Huang, Y.; Schaal, N.; Hefenbrock, M.; Zhou, Y.; Riedel, T.; Fang, L.; Beigl, M.
2022
2021
EarRecorder: A Multi-Device Earable Data Collection Toolkit
Fang, L.; Röddiger, T.; Schmid, F.; Beigl, M.
2021. Augmented Humans Conference 2021, 286–288, Association for Computing Machinery (ACM). doi:10.1145/3458709.3459005
Fang, L.; Röddiger, T.; Schmid, F.; Beigl, M.
2021. Augmented Humans Conference 2021, 286–288, Association for Computing Machinery (ACM). doi:10.1145/3458709.3459005
2020
FLECTILE: 3D-printable soft actuators for wearable computing
Fang, L.; Röddiger, T.; Sun, H.; Willenbacher, N.; Beigl, M.
2020. UbiComp/ISWC ’20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers. Ed.: K. v. Laerhoven, 32–36, Association for Computing Machinery (ACM). Best Paper Award doi:10.1145/3410531.3414307
Fang, L.; Röddiger, T.; Sun, H.; Willenbacher, N.; Beigl, M.
2020. UbiComp/ISWC ’20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers. Ed.: K. v. Laerhoven, 32–36, Association for Computing Machinery (ACM). Best Paper Award doi:10.1145/3410531.3414307
Where Should i Look? Comparing Reference Frames for Spatial Tactile Cues
Pescara, E.; Stubenbord, A.; Röddiger, T.; Fang, L.; Beigl, M.
2020. ISWC’21: Proceedings of the 2021 ACM International Symposium on Wearable Computers: September 21-26, 2021 ; Virtual Event, 68–72, Association for Computing Machinery (ACM). doi:10.1145/3460421.3478822
Pescara, E.; Stubenbord, A.; Röddiger, T.; Fang, L.; Beigl, M.
2020. ISWC’21: Proceedings of the 2021 ACM International Symposium on Wearable Computers: September 21-26, 2021 ; Virtual Event, 68–72, Association for Computing Machinery (ACM). doi:10.1145/3460421.3478822