Soyeon Jung

According to our database, Soyeon Jung authored at least 7 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Explainable Product Classification for Customs.

Eunji Lee, Sihyeon Kim, Sundong Kim, Soyeon Jung, Heeja Kim, Meeyoung Cha

CoRR, 2023

Inferring Traffic Models in Terminal Airspace from Flight Tracks and Procedures.

Soyeon Jung, Mykel J. Kochenderfer

CoRR, 2023

2022

A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling Through Particle Filtering.

Raunak P. Bhattacharyya, Soyeon Jung, Liam A. Kruse, Ransalu Senanayake, Mykel J. Kochenderfer

IEEE Trans. Intell. Transp. Syst., 2022

Conditional Approximate Normalizing Flows for Joint Multi-Step Probabilistic Forecasting with Application to Electricity Demand.

Arec L. Jamgochian, Di Wu, Kunal Menda, Soyeon Jung, Mykel J. Kochenderfer

CoRR, 2022

A Gray Box Model for Characterizing Driver Behavior.

Soyeon Jung, Ransalu Senanayake, Mykel J. Kochenderfer

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), 2022

2021

Classification of Goods Using Text Descriptions With Sentences Retrieval.

Eunji Lee, Sundong Kim, Sihyun Kim, Sungwon Park, Meeyoung Cha, Soyeon Jung, Suyoung Yang, Yeonsoo Choi, Sungdae Ji, Minsoo Song, Heeja Kim

CoRR, 2021

2019

A Data-Driven Air Traffic Sequencing Model Based on Pairwise Preference Learning.

Soyeon Jung, Sungkweon Hong, Keumjin Lee

IEEE Trans. Intell. Transp. Syst., 2019