Byeongcheol Kim

According to our database, Byeongcheol Kim authored at least 11 papers between 2024 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

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

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

GyRot: Leveraging Hidden Synergy Between Rotation and Fine-Grained Group Quantization for Low-Bit LLM Inference.

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

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 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

A 9.6 TOPS/W Vision Transformer Processor with Hierarchical Token Merging for Similarity-Driven Difference Computing.

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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

A 4.21 TFLOPS/W Memory-Efficient LLM Inference Accelerator with Bit-Layered Non-Uniform Quantization.

Byeongcheol Kim, Sangjin Kim, Sangwoo Ha, Soyeon Um, Kyomin Sohn, Hoi-Jun Yoo

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

2024

Burned-Area Mapping Using Post-Fire PlanetScope Images and a Convolutional Neural Network.

Byeongcheol Kim, Kyungil Lee, Seonyoung Park

Remote. Sens., July, 2024

Satellite Based Burn Severity Mapping Using Machine Learning Approaches.

Byeongcheol Kim, Seonyoung Park, Kyungil Lee

Proceedings of the International Conference on Electronics, Information, and Communication, 2024