Joongheon Kim
9 papers · 2019–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(21)
⚡
Prolific Year · Productive
Top co-authors
Research topics
Keywords
large language model
(2)
quantum neural network
(2)
autonomous driving
(2)
quantum machine learning
(2)
few-shot learning
(1)
image generation
(1)
imitation learning
(1)
feature extraction
(1)
style transfer
(1)
quantum computing
(1)
derivative-free optimization
(1)
multi-objective optimization
(1)
diffusion model
(1)
reward shaping
(1)
multimodal fusion
(1)
hallucination detection
(1)
zero-knowledge proof
(1)
hybrid computing
(1)
privacy-preserving inference
(1)
advanced driver assistance system
(1)
Papers
Diffusion for Combating the Hallucination in Large Language Models (Student Abstract)
AAAI 2026
Hybrid PPO–DQN for Multi-Objective Adaptive Cruise Control in Eco-Driving: Reward Shaping Toward Safety and Sustainability (Student Abstract)
AAAI 2026
Let LLM Tutors Ask First: Proactive LLM-Based Tutoring at Scale in a 1,500-Student Online Classroom
ACL 2026
Multimodal Coarse-to-Local Transformer for End-to-End Autonomous Driving (Student Abstract)
AAAI 2026
zkQML: Verifiable and Privacy-Preserving Inference for Quantum Machine Learning (Student Abstract)
AAAI 2026
Hybrid Quantum-Classical Style Transfer (Student Abstract)
AAAI 2025
FV-Train: Quantum Convolutional Neural Network Training with a Finite Number of Qubits by Extracting Diverse Features (Student Abstract)
AAAI 2023
Quantum Multi-Agent Meta Reinforcement Learning
AAAI 2023
Randomized Adversarial Imitation Learning for Autonomous Driving
IJCAI 2019