Cheng-Yeh Chen

Toledo, Spain (Oct 8, 2023)

I am a Ph.D. student at Georgia Tech ECE, advised by Prof. Raghupathy Sivakumar in Georgia Tech Networks and Mobile Computing Research Group (GNAN). My research direction focuses on EEG-based brain-computer interface (BCI) with the ambition to bring BCI into everyday life for everyone on the planet.

I received my B.S. and M.S. degrees in Electrical Engineering and Communication Engineering from National Taiwan University. I am fortunate to have worked with Prof. Hung-Yun Hsieh in Mobile Networks and Wireless Communications Research Group (TONIC) on security and performance issues on 5G communication standards, wireless virtual reality, and immersive video streaming.

news

Jan 17, 2024	Our work, “Towards Optimal Multiview Transcoding for Edge-Assisted Wireless Volumetric Streaming,” is accepted to IEEE International Conference on Communications 2024!
Oct 6, 2023	I am presenting Hyper-Accelerated Learning for Brain-Computer Interfaces via Partial Target-Aware Optimal Transport in ACM MobiCom SmartWear Workshop in Madrid, Spain!
Aug 2, 2023	Our work (my first project at Georgia Tech), Hyper-Accelerated Learning for Brain-Computer Interfaces via Partial Target-Aware Optimal Transport, is accepted to ACM MobiCom Workshop!
Mar 14, 2023	Our work, SweeTile: Efficient Tiling for 360° Video Streaming on Light-Weight VR Devices, is accepted to IEEE International Conference on Communications Workshop!
Mar 4, 2023	My master thesis at NTU, Cross-Frame Resource Allocation with Context-Aware QoE Estimation for 360° Video Streaming in Wireless Virtual Reality, is accepted to IEEE Transactions on Wireless Communications!

selected publications

TWC

Cross-Frame Resource Allocation with Context-Aware QoE Estimation for 360° Video Streaming in Wireless Virtual Reality

Cheng-Yeh Chen, and Hung-Yun Hsieh

IEEE Transactions on Wireless Communications 2023

Bib HTML Supp

@article{twc,
  author = {Chen, Cheng-Yeh and Hsieh, Hung-Yun},
  journal = {IEEE Transactions on Wireless Communications},
  title = {Cross-Frame Resource Allocation with Context-Aware QoE Estimation for 360° Video Streaming in Wireless Virtual Reality},
  year = {2023},
  volume = {22},
  number = {11},
  pages = {7887-7901},
  doi = {10.1109/TWC.2023.3257059},
}

ICC Wksp

SweeTile: Efficient Tiling for 360° Video Streaming on Light-Weight VR Devices

Cheng-Yeh Chen, and Hung-Yun Hsieh

In IEEE International Conference on Communications Workshops 2023

Bib HTML Slides

@inproceedings{icc_wksp,
  author = {Chen, Cheng-Yeh and Hsieh, Hung-Yun},
  booktitle = {IEEE International Conference on Communications Workshops},
  title = {SweeTile: Efficient Tiling for 360° Video Streaming on Light-Weight VR Devices},
  year = {2023},
  volume = {},
  number = {},
  pages = {1088-1093},
  doi = {10.1109/ICCWorkshops57953.2023.10283536},
}

MobiCom Wksp

Hyper-Accelerated Learning for Brain-Computer Interfaces via Partial Target-Aware Optimal Transport

Ekansh Gupta, Cheng-Yeh Chen, and Raghupathy Sivakumar

In Proceedings of ACM MobiCom Workshop on Smart Wearable Systems and Applications 2023

Bib HTML Slides

@inproceedings{smartwear23,
  author = {Gupta, Ekansh and Chen, Cheng-Yeh and Sivakumar, Raghupathy},
  booktitle = {Proceedings of ACM MobiCom Workshop on Smart Wearable Systems and Applications},
  title = {Hyper-Accelerated Learning for Brain-Computer Interfaces via Partial Target-Aware Optimal Transport},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  year = {2023},
  volume = {},
  number = {},
  pages = {},
  url = {https://doi.org/10.1145/3615592.3616853},
  doi = {10.1145/3615592.3616853},
  location = {Madrid, Spain},
  series = {SmartWear '23},
}