1 citations · 1 across the 11 of their papers we have counts for
11 papers
Token-Oriented Semantic Communication with Pretrained Vision Transformers
Jiwoong Im, Minwoo Kim, Jaeho Lee +2
Token communications realize the semantic communication principle at the granularity of transformer tokens, providing a promising direction for client--server collaborative inferen…
ImpactHO: Importance-Aware KV Cache Transfer for Multi-User Edge LLM Handover
Minwoo Kim, Soochang Song, Namyoon Lee +2
Edge LLMs must preserve inference continuity when a user hands over between edge nodes, requiring key-value (KV) cache transfer to the target node. However, simultaneous handovers…
FibQuant: Universal Vector Quantization for Random-Access KV-Cache Compression
Namyoon Lee, Yongjune Kim
Long-context inference is increasingly a memory-traffic problem. The culprit is the key--value (KV) cache: it grows with context length, batch size, layers, and heads, and it is re…
A Survey on Robust Deep Joint Source-Channel Coding for Semantic Communications
Eunhye Hong, Taewoo Park, Yongjune Kim
Semantic communications (SCs) aim to transmit only the essential information required to perform given tasks, thereby improving communication efficiency. Deep learning-based joint…
Multipoint Code-Weight Sphere Decoding: Parallel Near-ML Decoding for Short-Blocklength Codes
Yubeen Jo, Geon Choi, Yongjune Kim +1
Ultra-reliable low-latency communications (URLLC) operate with short packets, where finite-blocklength effects make near-maximum-likelihood (near-ML) decoding desirable but often t…
Collaborative Edge-to-Server Inference for Vision-Language Models
Soochang Song, Yongjune Kim
We propose a collaborative edge-to-server inference framework for vision-language models (VLMs) that reduces communication cost while maintaining inference accuracy. In typical dep…
Code-Weight Sphere Decoding
Yubeen Jo, Geon Choi, Yongjune Kim +1
Ultra-reliable low-latency communications (URLLC) demand high-performance error-correcting codes and decoders in the finite blocklength regime. This letter introduces a novel two-s…
Unequal Error Protection for Digital Semantic Communication with Channel Coding
Seonjung Kim, Yongjeong Oh, Yongjune Kim +2
This paper investigates unequal error protection (UEP) in digital semantic communication, where semantically important bits require substantially higher reliability than less criti…
Quantizing for Noisy Flash Memory Channels
Juyun Oh, Taewoo Park, Jiwoong Im +2
Flash memory-based processing-in-memory (flash-based PIM) offers high storage capacity and computational efficiency but faces significant reliability challenges due to noise in hig…
Robust Deep Joint Source Channel Coding for Task-Oriented Semantic Communications
Taewoo Park, Eunhye Hong, Yo-Seb Jeon +2
Semantic communications based on deep joint source-channel coding (JSCC) aim to improve communication efficiency by transmitting only task-relevant information. However, ensuring r…
Vision Transformer-based Semantic Communications With Importance-Aware Quantization
Joohyuk Park, Yongjeong Oh, Yongjune Kim +1
Semantic communications provide significant performance gains over traditional communications by transmitting task-relevant semantic features through wireless channels. However, mo…