Publications

* denotes equal contributions.

2025

  1. Contextual Evaluation of Individual Contributions from Pressing Situations in Football
    Minho Lee, Geonhee Jo, Miru Hong, Pascal Bauer, and Sang-Ki Ko.
    ECML PKDD Workshop on Machine Learning and Data Mining for Sports Analytics 2025
    Link
  2. 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.
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2025
    Link
  3. 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
  4. 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

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