publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2026

  1. Structure Detection for Contextual Reinforcement Learning
    Tianyue Zhou , Jung-Hoon Cho , and Cathy Wu
    In AAAI Conference on Artificial Intelligence , 2026
    Accepted

2025

  1. Eco-driving Incentive Mechanisms for Mitigating Emissions in Urban Transportation
    M. Umar B. Niazi , Jung-Hoon Cho , Munther A. Dahleh , and 2 more authors
    IEEE Transactions on Control of Network Systems, 2025
    To appear
  2. Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy
    Jung-Hoon Cho , Sirui Li , Jeongyun Kim , and 1 more author
    IEEE Transactions on Robotics, 2025
    To appear
  3. The Nah Bandit: Modeling User Non-compliance in Recommendation Systems
    Tianyue Zhou , Jung-Hoon Cho , and Cathy Wu
    IEEE Transactions on Control of Network Systems, 2025
    To appear
  4. Learning for Robust Advisory Autonomy under Execution Errors
    Jeongyun Kim , Jung-Hoon Cho , and Cathy Wu
    IEEE Transactions on Intelligent Transportation Systems, 2025
    To appear
  5. Route Recommendations for Traffic Management Under Learned Partial Driver Compliance
    Hyeondo Bang , Jung-Hoon Cho , Cathy Wu , and 1 more author
    2025
    Under review
  6. Formalizing Task-Space Complexity for Zero-shot Generalization
    Jung-Hoon Cho , Hanlin Zhang , Siyu Du , and 2 more authors
    2025
    Under review

2024

  1. Cooperative Advisory Residual Policies for Congestion Mitigation
    Aamir Hasan , Neeloy Chakraborty , Haonan Chen , and 3 more authors
    ACM Journal on Autonomous Transportation Systems, 2024
    Forthcoming
  2. Model-Based Transfer Learning for Contextual Reinforcement Learning
    Jung-Hoon Cho , Vihanga Jayawardana , Sirui Li , and 1 more author
    In Advances in Neural Information Processing Systems , 2024
    Poster
  3. Learning-based Incentive Design for Eco-Driving Guidance
    Jung-Hoon Cho , M. Umar B. Niazi , Siyu Du , and 3 more authors
    In Conference on Emerging Technologies in Transportation Systems (TRC-30) , 2024
    Oral presentation
  4. Large Language Models for Travel Behavior Prediction
    Bowen Mo , Haotian Xu , Jung-Hoon Cho , and 4 more authors
    In Conference on Emerging Technologies in Transportation Systems (TRC-30) , 2024
    Poster
  5. Expert with Clustering: Hierarchical Online Preference Learning Framework
    Tianyue Zhou , Jung-Hoon Cho , Babak Rahimi Ardabili , and 2 more authors
    In Learning for Dynamics and Control Conference , 2024
  6. Incentive Design for Eco-driving in Urban Transportation Networks
    M. Umar B. Niazi , Jung-Hoon Cho , Munther A. Dahleh , and 2 more authors
    In European Control Conference , 2024

2023

  1. PeRP: Personalized Residual Policies for Congestion Mitigation Through Co-operative Advisory Systems
    Aamir Hasan , Neeloy Chakraborty , Haonan Chen , and 3 more authors
    In IEEE International Conference on Intelligent Transportation Systems , 2023
    Bilbao, Spain

2022

  1. Multi-scale Causality Analysis between COVID-19 Cases and Mobility Level Using Ensemble Empirical Mode Decomposition and Causal Decomposition
    Jung-Hoon Cho , Dong-Kyu Kim , and Eui-Jin Kim
    Physica A: Statistical Mechanics and its Applications, 2022

2021

  1. Efficiency Comparison of Public Bike-sharing Repositioning Strategies Based on Predicted Demand Patterns
    Jung-Hoon Cho , Young-Hyun Seo , and Dong-Kyu Kim
    Transportation Research Record, 2021
  2. Enhancing the Accuracy of Peak Hourly Demand in Bike-sharing Systems Using a Graph Convolutional Network with Public Transit Usage Data
    Jung-Hoon Cho , Seung Woo Ham , and Dong-Kyu Kim
    Transportation Research Record, 2021
  3. Spatiotemporal Demand Prediction Model for E-scooter Sharing Services with Latent Feature and Deep Learning
    Seung Woo Ham , Jung-Hoon Cho , Sangwoo Park , and 1 more author
    Transportation Research Record, 2021