Jinhe Wen

Ph.D. student @ HKUST

Predicting Quality of Video Gaming Experience Using Global-Scale Telemetry Data and Federated Learning


Journal article


Zhongyang Zhang, Jinhe Wen, Zixi Chen, Dara Arbab, Sruti Sahani, Kent Giard, Bijan Arbab, Haojian Jin, Tauhidur Rahman
Proceedings of the ACM on Human-Computer Interaction, CHI PLAY, 2025


Cite

Cite

APA   Click to copy
Zhang, Z., Wen, J., Chen, Z., Arbab, D., Sahani, S., Giard, K., … Rahman, T. (2025). Predicting Quality of Video Gaming Experience Using Global-Scale Telemetry Data and Federated Learning. Proceedings of the ACM on Human-Computer Interaction, CHI PLAY. https://doi.org/10.1145/3748607


Chicago/Turabian   Click to copy
Zhang, Zhongyang, Jinhe Wen, Zixi Chen, Dara Arbab, Sruti Sahani, Kent Giard, Bijan Arbab, Haojian Jin, and Tauhidur Rahman. “Predicting Quality of Video Gaming Experience Using Global-Scale Telemetry Data and Federated Learning.” Proceedings of the ACM on Human-Computer Interaction CHI PLAY (2025).


MLA   Click to copy
Zhang, Zhongyang, et al. “Predicting Quality of Video Gaming Experience Using Global-Scale Telemetry Data and Federated Learning.” Proceedings of the ACM on Human-Computer Interaction, vol. CHI PLAY, 2025, doi:10.1145/3748607.


BibTeX   Click to copy

@article{zhongyang2025a,
  title = {Predicting Quality of Video Gaming Experience Using Global-Scale Telemetry Data and Federated Learning},
  year = {2025},
  journal = {Proceedings of the ACM on Human-Computer Interaction},
  volume = {CHI PLAY},
  doi = {10.1145/3748607},
  author = {Zhang, Zhongyang and Wen, Jinhe and Chen, Zixi and Arbab, Dara and Sahani, Sruti and Giard, Kent and Arbab, Bijan and Jin, Haojian and Rahman, Tauhidur}
}