Se Jung Kwon
16 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (12)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(26)
π
Interdisciplinary Bridge
π
Triple Crown
π€
Dynamic Duo
(14)
π±
Topic Pioneer
π
Keyword Champion
(2)
π
Century Club
(16)
π
Trend Setter
Conferences
ICLR (5)
NIPS (4)
EMNLP (2)
ICML (2)
ACL (1)
CVPR (1)
NAACL (1)
Top co-authors
Keywords
model compression
(7)
neural network optimization
(4)
weight quantization
(4)
large language model
(4)
parameter-efficient fine-tuning
(3)
post-training quantization
(2)
image generation
(2)
diffusion model
(2)
generative model
(2)
binary quantization
(2)
score-based model
(2)
parameter optimization
(1)
neural machine translation
(1)
training efficiency
(1)
maximum likelihood estimation
(1)
parameter sharing
(1)
in-context learning
(1)
maximum likelihood
(1)
parameter efficient fine-tuning
(1)
low-rank approximation
(1)
Papers
Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models
ACL 2025
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices
NAACL 2025
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models
ICLR 2024
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation
NIPS 2024
Label-Noise Robust Diffusion Models
ICLR 2024
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models
ICLR 2024
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization
ICML 2023
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
NIPS 2023
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
ICML 2023
Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic
ICLR 2023
Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression
ICLR 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model
NIPS 2022
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models
EMNLP 2022
FleXOR: Trainable Fractional Quantization
NIPS 2020
Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation
EMNLP 2020
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization
CVPR 2020