Eunhyeok Park
26 papers · 2017–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (35) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Keyword Pioneer
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Conference Pioneer
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Unstoppable · Silver
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Prolific Year · Productive
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Century Club · Bronze
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Keyword Collector
(99)
Venues
Top co-authors
Research topics
Machine Learning
(20)
Deep Learning
(15)
Application Areas
(13)
Artificial Intelligence
(11)
Core AI
(11)
Optimization & Theory · Machine Learning
(10)
Techniques
(7)
Optimization & Theory · Deep Learning
(6)
Learning Types · Deep Learning
(5)
Computer Vision
(4)
Core Methods
(4)
Models
(4)
Natural Language Processing
(3)
Learning Types · Machine Learning
(3)
Analysis
(2)
Keywords
large language model
(5)
model compression
(4)
model quantization
(4)
weight quantization
(3)
representation learning
(2)
diffusion model
(2)
image generation
(2)
mixed-precision quantization
(2)
deep neural network
(2)
inference acceleration
(2)
efficient computing
(2)
binary neural network
(2)
neural network
(2)
parameter-efficient fine-tuning
(2)
quantization-aware training
(2)
post-training quantization
(2)
personalized generation
(1)
attention mechanism
(1)
semantic segmentation
(1)
self-supervised learning
(1)
Papers
DreamCatcher: Efficient Multi-Concept Customization via Representation Finetuning
WACV 2026
Stabilizing Direct Training of Spiking Neural Networks: Membrane Potential Initialization and Threshold-robust Surrogate Gradient
WACV 2026
AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models
EMNLP 2025
Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs
EMNLP 2025
Grouped Speculative Decoding for Autoregressive Image Generation
ICCV 2025
HOT: Hadamard-based Optimized Training
CVPR 2025
Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation
ICML 2025
PCM : Picard Consistency Model for Fast Parallel Sampling of Diffusion Models
CVPR 2025
PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality
EMNLP 2025
PTQ4VM: Post-Training Quantization for Visual Mamba
WACV 2025
SEAL: Scaling to Emphasize Attention for Long-Context Retrieval
ACL 2025
FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models
ECCV 2024
OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models
AAAI 2024
QEFT: Quantization for Efficient Fine-Tuning of LLMs
EMNLP 2024
INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold
ICCV 2023
NIPQ: Noise Proxy-Based Integrated Pseudo-Quantization
CVPR 2023
Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation
WACV 2023
Temporal Dynamic Quantization for Diffusion Models
NeurIPS 2023
BASQ: Branch-Wise Activation-Clipping Search Quantization for Sub-4-Bit Neural Networks
ECCV 2022
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking
IJCAI 2022
Symmetry Regularization and Saturating Nonlinearity for Robust Quantization
ECCV 2022
Fine-Grained Semantics-Aware Representation Enhancement for Self-Supervised Monocular Depth Estimation
ICCV 2021
PROFIT: A Novel Training Method for sub-4-bit MobileNet Models
ECCV 2020
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss
ICCV 2019
Value-aware Quantization for Training and Inference of Neural Networks
ECCV 2018
Weighted-Entropy-Based Quantization for Deep Neural Networks
CVPR 2017