Hyun Oh Song
28 papers · 2013–2025 · 7 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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πΊοΈ Taxonomy Completionist (46) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
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Keyword Pioneer
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Grand Slam
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Trend Setter
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Century Club Β· Bronze
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Prolific Year Β· Productive
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Unstoppable Β· Silver
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Conference Pioneer
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Keyword Collector
(138)
Top co-authors
Research topics
Machine Learning
(27)
Deep Learning
(13)
Learning Types Β· Machine Learning
(13)
Core Methods
(11)
Application Areas
(9)
Optimization & Theory
(8)
Artificial Intelligence
(7)
Learning Types Β· Deep Learning
(7)
Computer Vision
(6)
Core AI
(6)
Mathematics & Optimization
(5)
Reinforcement Learning
(5)
Methods
(5)
Optimization
(5)
Analysis
(4)
Keywords
representation learning
(3)
object detection
(3)
adversarial attack
(3)
metric learning
(3)
submodular optimization
(3)
combinatorial optimization
(2)
neural network pruning
(2)
black-box attack
(2)
reinforcement learning
(2)
deep learning
(2)
sample efficiency
(2)
dynamic programming
(2)
weakly supervised learning
(2)
offline reinforcement learning
(2)
image retrieval
(2)
feature embedding
(2)
bayesian optimization
(2)
structured prediction
(2)
contrastive learning
(2)
mixup augmentation
(2)
Papers
GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance
ICML 2025
Compressed Context Memory for Online Language Model Interaction
ICLR 2024
LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging
ICML 2024
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization
ICML 2024
Direct Preference-based Policy Optimization without Reward Modeling
NeurIPS 2023
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning
NeurIPS 2023
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming
ICML 2023
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data
NeurIPS 2023
Query-Efficient Black-Box Red Teaming via Bayesian Optimization
ACL 2023
Dataset Condensation via Efficient Synthetic-Data Parameterization
ICML 2022
Optimal channel selection with discrete QCQP
AISTATS 2022
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks
AAAI 2022
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization
ICML 2022
Rethinking Value Function Learning for Generalization in Reinforcement Learning
NeurIPS 2022
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
ICLR 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
NeurIPS 2021
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
ICML 2020
EMI: Exploration with Mutual Information
ICML 2019
End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization
CVPR 2019
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement
ICML 2019
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization
ICML 2019
Efficient end-to-end learning for quantizable representations
ICML 2018
Deep Metric Learning via Facility Location
CVPR 2017
Deep Metric Learning via Lifted Structured Feature Embedding
CVPR 2016
Learning Transferrable Representations for Unsupervised Domain Adaptation
NeurIPS 2016
On learning to localize objects with minimal supervision
ICML 2014
Weakly-supervised Discovery of Visual Pattern Configurations
NeurIPS 2014
Discriminatively Activated Sparselets
ICML 2013