Our research group aims to publish in leading venues in computer systems and related applications.
We primarily target venues in networking, systems, and AI, including those recognized by CSRankings, BK21 top conference, 한국정보과학회 (KIISE).
International Conference [C], Journal [J] and Workshop [W]
[C] BlenDR: Bandwidth-efficient RGB-D Representation and Delivery for Live 3D Video Streaming
Jaehong Kim, Joon Ha Kim, Yunheon Lee, and Dongsu Han
ACM MobiSys 2026 (BK21 Top Conference)
[C] Neural-Centric Video Processing Pipeline for Unified Multi-Task Inference
Seyeon Lee, Juncheol Ye, Jaehong Kim, and Dongsu Han
IEEE/CVF CVPR 2026 (BK21 Top Conference)
[J] SceneHub4D: A Dataset and Evaluation Framework for 6-DoF 4D VR Scenes
Jaehong Kim, Tao Jin, Mallesham Dasari, Srinivasan Seshan, and Anthony Rowe
IEEE TVCG (SCIE, IF:6.5, JCR Top 6% in Computer Science, Software Engineering)
Invited to IEEE VR (BK21 Top Conference)
[C] NerVast: Compression-Efficient Scaling of Implicit Neural Video Representations via Scene-based Parameter-sharing
Yunheon Lee, Juncheol Ye, Jaehong Kim^, and Dongsu Han^
IEEE/CVF WACV 2026 (KIISE 한국정보과학회 Top Conference), ^: Co-corresponding
[W] Reconstructing Reality over Time: From Drone Capture to Timelapse Gaussian Splatting
Jaehong Kim, Srinivasan Seshan, and Anthony Rowe
IEEE ISMAR Poster 2025
[W] Presto: Hybrid CPU-GPU Preprocessing Framework for Video-based AI Inference System
Jihyuk Lee, Dongsu Han, and Jaehong Kim
ACM NetAISys 2025 (Workshop in MobiSys 2025)
[J] Efficient Disaggregated Cloud Storage for Cold Videos with Neural Enhancement
Jinyeong Lim, Juncheol Ye, Jaehong Kim, Hwijoon Lim, Hyunho Yeo, Junhyeok Jang, Myoungsoo Jung, and Dongsu Han
IEEE Micro 2025 (SCIE, IF:3.0)
[W] Neural Cloud Storage: Innovative Cloud Storage Solution for Cold Video
Jinyeong Lim, Juncheol Ye, Jaehong Kim, Hwijoon Lim, Hyunho Yeo, and Dongsu Han
ACM HotStorage 2023
[C] FlexPass: A Case for Flexible Credit-Based Transport for Datacenter Networks
Hwijoon Lim, Jaehong Kim, Inho Cho, Keon Jang, Wei Bai, and Dongsu Han
ACM EuroSys 2023 (BK21 Top Conference)
28th Samsung HumanTech Paper Award, Gold Prize in Communications & Network
[C] OutRAN: Co-Optimizing for Flow Completion Time in Radio Access Network
Jaehong Kim, Yunheon Lee, Hwijoon Lim, Youngmok Jung, Song Min Kim, and Dongsu Han
ACM CoNEXT 2022 (BK21 Top Conference)
CoNEXT Best Paper Finalist
29th Samsung HumanTech Paper Award, Silver Prize in Communications & Network
Google Conference Scholarship
[C] NeuroScaler: Neural Video Enhancement at Scale
Hyunho Yeo, Hwijoon Lim, Jaehong Kim, Youngmok Jung, Juncheol Ye, and Dongsu Han
ACM SIGCOMM 2022 (BK21 Top Conference)
[C] Neural-Enhanced Live Streaming: Improving Live Video Ingest via Online Learning
Jaehong Kim*, Youngmok Jung*, Hyunho Yeo, Juncheol Ye, and Dongsu Han
ACM SIGCOMM 2020 (BK21 Top Conference), *: Co-first
[C] Neural Adaptive Content-Aware Internet Video Delivery
Hyunho Yeo, Youngmok Jung, Jaehong Kim, Jinwoo Shin, and Dongsu Han
USENIX OSDI 2018 (BK21 Top Conference)
Patents
Live video ingest system and method, US17265680
Method and apparatus for transmitting adaptive video in real time using content‑aware neural network, US11463750B2 / KR10‑2129115
Method for enhancing live video delivery at ingest point utilizing content‑aware neural network, KR10‑2338986
Method and device for scheduling in wireless communication system, US20250240811A1
+ 7 additional patents pending