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Research Portal of the TU Dresden

Dr.-Ing. Likun Fang
Person

Affiliations

Chair of Acoustics and Haptics
- Academic Staff
- likun.fang@tu-dresden.de

Identification Numbers

Scopus author ID	57219183020

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.

Research output: Contribution to conferences › Paper › Contributed › peer-review

Investigating the Design Space of Affective Touch on the Forearm Area

Fang, L., Wang, Y. & Altinsoy, M. E., 2024.

Research output: Contribution to conferences › Poster › Contributed › peer-review

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., 27 Sept 2023, In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 7, 3, 95.

Research output: Contribution to journal › Research article › Contributed › peer-review

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., 5 Jul 2023, ACM PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments. p. 279–283 5 p.

Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review

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. Amini, M-R., Canu, S., Fischer, A., Guns, T., Kralj Novak, P. & Tsoumakas, G. (eds.). Springer, Cham, p. 581–598 18 p. (Lecture Notes in Computer Science, Volume 13715).