Ohyun Jo
7 papers · 2020–2026 · 1 venue · 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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🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(21)
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Data Science & Analytics
(3)
Deep Learning
(3)
Application Areas
(3)
Core Methods
(3)
Methods · Data Science & Analytics
(3)
Computer Science
(2)
Reinforcement Learning
(2)
Architectures
(2)
Learning Types · Machine Learning
(2)
Methods · Reinforcement Learning
(2)
Systems
(2)
Computer Vision
(1)
Applications
(1)
Learning Types · Deep Learning
(1)
Keywords
time series forecasting
(2)
convolutional neural network
(2)
multivariate time series
(2)
reinforcement learning
(1)
knowledge distillation
(1)
data augmentation
(1)
signal classification
(1)
student model
(1)
iterative learning
(1)
feature distillation
(1)
feature correlation
(1)
long short-term memory
(1)
portfolio optimization
(1)
risk constraint
(1)
imitation learning
(1)
channel correlation
(1)
image classification
(1)
constraint violation
(1)
correlation modeling
(1)
augmented lagrangian
(1)
Papers
C2R-KD: Complex to Real Knowledge Distillation (Student Abstract)
AAAI 2026
CompRestacking: Capturing Channel Dependency in Highly Correlated Multivariate Time Series Data (Student Abstract)
AAAI 2026
Augmented Lagrangian Risk-constrained Reinforcement Learning for Portfolio Optimization (Student Abstract)
AAAI 2025
Imitation Learning Backoff: Reinforcement Learning-based Channel Access for Guaranteeing Fairness (Student Abstract)
AAAI 2025
IncepSeqNet: Advancing Signal Classification with Multi-Shape Augmentation (Student Abstract)
AAAI 2024
Multivariate Time-Series Imagification with Time Embedding in Constrained Environments (Student Abstract)
AAAI 2024
Iterative Learning for Reliable Underwater Link Adaptation (Student Abstract)
AAAI 2020