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

Oct 21, 2024	Our work, “Data-Centric Resource Allocation for Machine-Type Communications with Lossy Links Based on Compressive Sensing,” is accepted to IEEE Transactions on Vehicular Technology!
Oct 2, 2024	Our work, “Uplink performance analysis and optimization for dense clustered wireless networks with nearest-BS association,” is accepted to IEEE Transactions on Communications!
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!

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},
}

ICC

Towards Optimal Multiview Transcoding for Edge-Assisted Wireless Volumetric Streaming

Yi-Pao Wu, Cheng-Yeh Chen, Tsung-Yu Li, and Hung-Yun Hsieh

In IEEE International Conference on Communications 2024

Bib HTML

@inproceedings{icc24,
  author = {Wu, Yi-Pao and Chen, Cheng-Yeh and Li, Tsung-Yu and Hsieh, Hung-Yun},
  booktitle = {IEEE International Conference on Communications},
  title = {Towards Optimal Multiview Transcoding for Edge-Assisted Wireless Volumetric Streaming},
  year = {2024},
  volume = {},
  number = {},
  pages = {4096-4101},
  keywords = {Wireless communication;Three-dimensional displays;Quantization (signal);Bandwidth;Transcoding;Streaming media;Distortion},
  doi = {10.1109/ICC51166.2024.10622856},
}