Yuseon Choi

According to our database, Yuseon Choi authored at least 11 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

ELMoE-3D: Leveraging Intrinsic Elasticity of MoE for Hybrid-Bonding-Enabled Self-Speculative Decoding in On-Premises Serving.

Yuseon Choi, Jingu Lee, Jungjun Oh, Sunjoo Whang, Byeongcheol Kim, Minsung Kim, Hoi-Jun Yoo, Sangjin Kim

CoRR, April, 2026

An Energy-Efficient High Resolution Vision Transformer Processor Exploiting Token Similarity Beyond Token Merging.

Jungjun Oh, Sangjin Kim, Jiwon Choi, Junha Ryu, Byeongcheol Kim, Yuseon Choi, Hoi-Jun Yoo

IEEE Trans. Very Large Scale Integr. Syst., January, 2026

EdgeDiff: Energy-Efficient Multi-Modal Few-Step Diffusion Model Accelerator Using Mixed-Precision and Reordered Group Quantization.

Sangjin Kim, Jungjun Oh, Jeonggyu So, Yuseon Choi, Sangyeob Kim, Dongseok Im, Gwangtae Park, Hoi-Jun Yoo

IEEE J. Solid State Circuits, January, 2026

31.2 Revolver: Low-Bit GenAI Accelerator for Distilled-Model and CoT with Phase-Aware-Quantization and Rotation-Based Integer-Scaled Group Quantization.

Sangjin Kim, Jungjun Oh, Byeongcheol Kim, Yuseon Choi, Gwangtae Park, Hoi-Jun Yoo

Proceedings of the IEEE International Solid-State Circuits Conference, 2026

A 198.7 μJ/token Block Diffusion LLM Processor with Mask Token Similarity-Based Activation Reuse.

Yujin Moon, Jiwon Choi, Seryeong Kim, Wonhoon Park, Wooyoung Jo, Yuseon Choi, Sunjoo Whang, Hoi-Jun Yoo

Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

SeVeDo: A Heterogeneous Transformer Accelerator for Low-Bit Inference via Hierarchical Group Quantization and SVD-Guided Mixed Precision.

Yuseon Choi, Sangjin Kim, Jungjun Oh, Byeongcheol Kim, Hoi-Jun Yoo

Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

2025

SliceMoE: Bit-Sliced Expert Caching under Miss-Rate Constraints for Efficient MoE Inference.

Yuseon Choi, Sangjin Kim, Jungjun Oh, Gwangtae Park, Byeongcheol Kim, Hoi-Jun Yoo

CoRR, December, 2025

LightRot: A Light-Weighted Rotation Scheme and Architecture for Accurate Low-Bit Large Language Model Inference.

Sangjin Kim, Yuseon Choi, Jungjun Oh, Byeongcheol Kim, Hoi-Jun Yoo

IEEE J. Emerg. Sel. Topics Circuits Syst., June, 2025

23.3 EdgeDiff: 418.4mJ/Inference Multi-Modal Few-Step Diffusion Model Accelerator with Mixed-Precision and Reordered Group Quantization.

Sangjin Kim, Jungjun Oh, Jeonggyu So, Yuseon Choi, Sangyeob Kim, Dongseok Im, Gwangtae Park, Hoi-Jun Yoo

Proceedings of the IEEE International Solid-State Circuits Conference, 2025

EdgeDiff: Multi-modal Few-step Diffusion Model Accelerator with Mixed-Precision and Reordered Group-Quantization for On-device Generative AI Motivation.

Sangjin Kim, Jungjun Oh, Jeonggyu So, Yuseon Choi, Sangyeob Kim, Dongseo Kim, Gwangtae Park, Hoi-Jun Yoo

Proceedings of the IEEE Hot Chips 37 Symposium, 2025

2023

Evaluating LoRaWAN performance in intentional and unintentional DoS attacks by legacy 900MHz network devices.

Seokhyeon Bang, Junyoung Jang, Minju Ro, Yuseon Choi, Doyong Kwon, Kangyeon Lee, Anthony Smith

Proceedings of the 6th International Conference on Advanced Communication Technologies and Networking, 2023