I am a fifth-year Ph.D. student in Electrical Engineering at KAIST advised by Professor Dongsu Han. I received B.S. in Electrical Engineering from KAIST.
My research interests are incorporating deep learning (DL) techniques with computing and networking systems to drastically improve performance. Recently, I have focused on 1) leveraging neural quality enhancement to make video systems more efficient and 2) accelerating neural enhancement to enable it on large-scale, distributed applications.
selected publications (see all)
SIGCOMMEngorgio: Neural Video Enhancement at ScaleIn Proceedings of the ACM SIGCOMM 2022 conference on SIGCOMM (Will appear) Aug 2022
MobiComNEMO: Enabling Neural-Enhanced Video Streaming on Commodity Mobile DevicesIn Proceedings of the 26th Annual International Conference on Mobile Computing and Networking Aug 2020
SIGCOMMNeural-Enhanced Live Streaming: Improving Live Video Ingest via Online LearningIn Proceedings of the Annual Conference of the ACM Special Interest Group on Data Communication on the Applications, Technologies, Architectures, and Protocols for Computer Communication Aug 2020
OSDINeural Adaptive Content-aware Internet Video DeliveryIn 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18) Oct 2018