影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
55.28/100
前 6.3%
全站排名 #4,086
发表论文14 篇
平均评分
年均产出4.7 篇/年
Se Jung Kwon
研究方向
deep learning · model compression · model optimization · H/W co-simulation · discrete event modeling and simulation
25
Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models
NeurIPS 2025Poster
23
CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs
NeurIPS 2025Poster
45
FlexBCQ: Flexible Binary-coding Quantization for Large Language Models
ICLR 2025Rejected
32
Don’t Discard, but Keep It Small: Context-Preserving KV Cache Compression with Importance-Aware Adaptive Precision
ICLR 2025Rejected
16
To FP8 and Back Again: Quantifying Reduced Precision Effects on LLM Training Stability
ICLR 2025Rejected