Sanghyun Hong
15 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Academic Marathon (6) π§ Keyword Pioneer π£ Hot Topic Early Bird π Cross-Pollinator (10)
π
Renaissance Researcher
(7)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π
Triple Crown
π
Grand Slam
β‘
Prolific Year
(6)
π₯
Unstoppable
(7)
β
The Questioner
(2)
π
Century Club
(15)
Conferences
ICLR (4)
ICML (4)
NIPS (4)
AAAI (1)
COLING (1)
ICCV (1)
Top co-authors
Research topics
Keywords
backdoor attack
(3)
model poisoning
(2)
early exit
(2)
image classification
(2)
adversarial attack
(2)
vision-language navigation
(1)
deep learning
(1)
feature learning
(1)
efficient inference
(1)
text classification
(1)
adversarial learning
(1)
neural network optimization
(1)
efficient computing
(1)
computational efficiency
(1)
fourier transform
(1)
sentiment analysis
(1)
time series classification
(1)
context modeling
(1)
domain generalization
(1)
privacy attack
(1)
Papers
Harnessing Input-Adaptive Inference for Efficient VLN
ICCV 2025
PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images
ICLR 2024
Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations
AAAI 2024
When Do βMore Contextsβ Help with Sarcasm Recognition?
COLING 2024
Parameterized Physics-informed Neural Networks for Parameterized PDEs
ICML 2024
LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions
ICML 2024
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
NIPS 2024
BERT Lost Patience Won't Be Robust to Adversarial Slowdown
NIPS 2023
Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator
ICML 2023
Data Poisoning Wonβt Save You From Facial Recognition
ICLR 2022
Handcrafted Backdoors in Deep Neural Networks
NIPS 2022
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes
NIPS 2021
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference
ICLR 2021
How to 0wn the NAS in Your Spare Time
ICLR 2020
Shallow-Deep Networks: Understanding and Mitigating Network Overthinking
ICML 2019