Suhyun Kim
19 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (4)
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(5)
🏆
Grand Slam
🗃️
Keyword Collector
(89)
💎
Century Club
(19)
⚡
Prolific Year
(9)
Conferences
AAAI (8)
ICCV (3)
NIPS (3)
ICML (2)
ACL (1)
CVPR (1)
ICLR (1)
Top co-authors
Research topics
Keywords
model compression
(4)
neural network optimization
(3)
data augmentation
(2)
convolutional neural network
(2)
diffusion model
(2)
image classification
(2)
structured pruning
(2)
online learning
(2)
vision transformer
(1)
image restoration
(1)
catastrophic forgetting
(1)
knowledge distillation
(1)
representation learning
(1)
batch normalization
(1)
image compression
(1)
non-convex optimization
(1)
network pruning
(1)
image synthesis
(1)
image generation
(1)
convergence analysis
(1)
Papers
ELITE: Enhanced Language-Image Toxicity Evaluation for Safety
ICML 2025
Salient Frequency-aware Exemplar Compression for Resource-constrained Online Continual Learning
AAAI 2025
Maximizing the Position Embedding for Vision Transformers with Global Average Pooling
AAAI 2025
Convergence Analysis of Federated Learning Methods Using Backward Error Analysis
AAAI 2025
M2S: Multi-turn to Single-turn jailbreak in Red Teaming for LLMs
ACL 2025
Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation
CVPR 2025
WINS: Winograd Structured Pruning for Fast Winograd Convolution
ICCV 2025
Adversarial Purification via Super-Resolution and Diffusion
ICCV 2025
When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class
ICML 2025
DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism
NIPS 2024
REPrune: Channel Pruning via Kernel Representative Selection
AAAI 2024
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN
AAAI 2024
GuidedMixup: An Efficient Mixup Strategy Guided by Saliency Maps
AAAI 2023
Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism
AAAI 2023
DepthFL : Depthwise Federated Learning for Heterogeneous Clients
ICLR 2023
Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models
ICCV 2023
Tanh Works Better with Asymmetry
NIPS 2023
NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency
AAAI 2022
Neuron Merging: Compensating for Pruned Neurons
NIPS 2020