Papers under review
Papers under review
Niazi, M., Cho, J.-H., Dahleh, M., Dong, R., & Wu, C.* (2025). Eco-driving Incentive Mechanisms for Mitigating Emissions in Urban Transportation. Under review.
Cho, J.-H., Li, S., Kim, J., & Wu, C.* (2025). Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy. IEEE Transactions on Robotics (T-RO), Conditionally accepted. [preprint]
Zhou, T., Cho, J.-H., & Wu, C.* (2025). The Nah Bandit: Modeling User Non-compliance in Recommendation Systems. IEEE Transactions on Control of Network Systems (T-CNS). [link, website]
Kim, J., Cho, J.-H., & Wu, C.* (2025). Learning for Robust Advisory Autonomy under Execution Errors. IEEE Transactions on Intelligent Transportation Systems (T-ITS). [link]
Hasan, A., Chakraborty, N., Chen, H., Cho, J.-H., Wu, C. & Driggs-Campbell, K. (2024). Cooperative Advisory Residual Policies for Congestion Mitigation. ACM Journal on Autonomous Transportation Systems. [link]
Cho, J.-H., Kim, D.-K., & Kim, E.-J.* (2022). Multi-scale causality analysis between COVID-19 cases and mobility level using ensemble empirical mode decomposition and causal decomposition. Physica A: Statistical Mechanics and its Applications. [link]
Cho, J.-H., Seo, Y.-H., & Kim, D.-K.* (2021). Efficiency Comparison of Public Bike-sharing Repositioning Strategies Based on Predicted Demand Patterns. Transportation Research Record: Journal of the Transportation Research Board. [link]
Cho, J.-H., Ham, S. W., & Kim, D.-K.* (2021). Enhancing the Accuracy of Peak Hourly Demand in Bike-Sharing Systems Using a Graph Convolutional Network with Public Transit Usage Data. Transportation Research Record: Journal of the Transportation Research Board. [link]
Ham, S. W., Cho, J.-H., Park, S.-W., & Kim, D.-K.* (2021). Spatiotemporal Demand Prediction Model for E-scooter Sharing Services with Latent Feature and Deep Learning. Transportation Research Record: Journal of the Transportation Research Board. [link]
Cho, J.-H., Jayawardana, V., Li, S. & Wu, C.* (2024, Dec 9-15). Model-Based Transfer Learning for Contextual Reinforcement Learning [Poster presentation]. Advances in Neural Information Processing Systems (NeurIPS), Vancouver, Canada. [preprint] [webpage] [MIT News]
Cho, J.-H., Niazi, M., Du, S., Zhou, T., Dong, R., & Wu, C.* (2024, Sep 2-4). Learning-based Incentive Design for Eco-Driving Guidance [Oral presentation]. Conference in Emerging Technologies in Transportation Systems (TRC-30), Crete, Greece.
Mo, B., Xu, H., Cho, J.-H., Zhuang, D., Ma, R., Guo, X., & Zhao, J.* (2024, Sep 2-4). Large Language Models for Travel Behavior Prediction [Poster presentation]. Conference in Emerging Technologies in Transportation Systems (TRC-30), Crete, Greece.
Zhou, T., Cho, J.-H., Ardabili, B. R., Tabkhi, H., & Wu, C.* (2024, July 15-17). Expert with Clustering: Hierarchical Online Preference Learning Framework. 6th Annual Learning for Dynamics & Control Conference, Oxford, UK. [link]
Niazi, M., Cho, J.-H., Dahleh, M., Dong, R., & Wu, C.* (2024, June 25-28). Incentive Design for Eco-driving in Urban Transportation Networks. European Control Conference, Stockholm, Sweden.
Hasan, A., Chakraborty, N., Chen, H., Cho, J.-H., Wu, C. & Driggs-Campbell, K. (2023, Septem- ber 24-28), PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems. 26th IEEE International Conference on Intelligent Transportation Systems, Bilbao, Spain. [link]
Cho, J.-H., Ham, S. W., Kim, E.-J., & Kim, D.-K.* (2022, January 9–13). A Comparative Analysis of Usage Patterns of Bike-sharing and E-scooter-sharing in Seoul [Poster presentation]. Transportation Research Board 101st Annual Meeting, Washington DC, United States.
Cho, J.-H., Lee, E. H., Kho, S.-Y., & Kim, D.-K.* (2021, November 11–12). Developing Variable Speed Limit Control and Ramp Metering Strategy for Freeways Using Deep Reinforcement Learning (Korean) [Oral presentation]. 85th Conference on the Korean Society of Transportation, Jeju, Korea.
Cho, J.-H., & Kim, D.-K.* (2021, October 21–22). Reinforcement Learning based Variable Speed Limit Control Strategy on Each Lane to Prevent Accident caused by the reduction of highway lanes (Korean) [Oral presentation]. 2021 Fall Conference on the Korea Institute of Intelligent Transport Systems, Jeju, Korea.
Ham, S. W., Cho, J.-H., & Kim, D.-K.* (2021, April 22–23). Establishing Micro-Mobility Demand Aggregation Methodology Considering Interregional Relationship (Korean) [Oral presentation]. 2021 Spring Conference on the Korea Institute of Intelligent Transport Systems, Gangneung, Korea.
Cho, J.-H., Ham, S. W., & Kim, D.-K.* (2021, January 24–28). Enhancing the Accuracy of Peak Hourly Demand in Bike-Sharing Systems Using a Graph Convolutional Network with Public Transit Usage Data [Poster presentation]. Transportation Research Board 100th Annual Meeting, Washington DC, United States. [Link]
Cho, J.-H., Ham, S. W., & Kim, D.-K.* (2020, November 19–20). A Comparison study on Micro-mobility Usage Pattern: focusing on Bike-sharing service and E-Scooter share service in Seoul, Korea (Korean) [Oral presentation]. 2020 Fall Conference on the Korea Institute of Intelligent Transport Systems, Jeju, Korea.
Transportation: Transportation Research Records (TRR), Transportation, Transport Policy, IEEE Transactions on Intelligent Transportation Systems (T-ITS), Journal of Korean Society of Transportation
Others: Scientific Report, Journal of Big Data, Physica A
AI/ML: AAAI (2026), RLC (2025), ICML (2025), AISTATS (2025), NeurIPS (2025, 2024)
Transportation: TRBAM (2026, 2025), ITS WC (2025, 2024), IEEE ITSC (2025, 2024), IEEE IV (2024)
Control: ACC (2025), ECC (2024)
Robotics: ICRA (2025), RSS Workshop AVAS (2024)
Ruth Lu (MIT) | 2025 – present
Stephen Andrews (MIT) | 2025
Sanjula Jayawardana (ITSS Incubator) | 2024
Tianyue Zhou (ShanghaiTech, currently at MIT) | 2023 – 2025
Rajeev Datta (CalTech, currently at Cornell) | 2023
Mentor for MIT CEE GAAP and Peer Mentorship Program | 2024 – present
Organizing Committee for ITSS Incubator | 2024
Organizing Committee for MIT LIDS & Stats Tea Talks | 2023 – 2024