Publications

* denotes equal contributions.

2025

  1. exPress: Contextual Valuation of Individual Players Within Pressing Situations in Soccer
    Minho Lee, Geonhee Jo, Miru Hong, Pascal Bauer, and Sang-Ki Ko.
    MIT Sloan Sports Analytics Conference 2025
    Link
  2. Learning Multiphase and Multiphysics Systems with Decoupled State Space Model
    Yun Young Choi*, Seunghwan Lee*, Minho Lee*, JinHaeng Lee, Joohwan Ko, and Chanwoong Moon.
    ICLR 2025 Workshop XAI4Science 2025
    Link
  3. Trajectory Imputation in Multi-Agent Sports with Derivative-Accumulating Self-Ensemble
    Han-Jun Choi*, Hyunsung Kim*,  Minho Lee, Minchul Jeong, Chang Jo Kim, and Sang-Ki Ko.
    under review 2025
    Link

2024

  1. Enhancing Topological Dependencies in Spatio-temporal Graphs with Cycle Message Passing Blocks
    Minho Lee*, Yun Young Choi*, Sun Woo Park, Seunghwan Lee, and Joohwan Ko.
    The Third Learning on Graphs Conference (LoG) 2024
    Link
  2. Topology-Informed Graph Transformer
    Yun Young Choi*, Sun Woo Park*,  Minho Lee, and Youngho Woo.
    Geometry-grounded Representation Learning and Generative Modeling Workshop at ICML 2024
    Link
  3. Bilevel-optimized continual learning for predicting capacity degradation of lithium-ion batteries
    Minho Lee, Seongyoon Kim, Sanghyun Kim, and Jung-Il Choi.
    Journal of Energy Storage 2024
    Link

2023

  1. Model-free reconstruction of capacity degradation trajectory of lithium-ion batteries using early cycle data
    Seongyoon Kim*, Hangsoon Jung*,  Minho Lee, Yun Young Choi, and Jung-Il Choi.
    eTransportation 2023
    Link