activity
20232026
most citedLearning Over Molecular Conformer Ensembles: Datasets and Benchmarks

7 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

stat.CO2026

iLBA: An R package for confidentially disseminating aggregated frequency tables

Jeehyun Hwang, Dongsun Yoon, Sungkyu Jung +2

Statistical agencies frequently release frequency tables derived from microdata, but small frequency cells may lead to disclosure risks. We present \texttt{iLBA}, an open-source \t…

cs.AI2025

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models

Ching Chang, Yidan Shi, Defu Cao +8

Time series reasoning treats time as a first-class axis and incorporates intermediate evidence directly into the answer. This survey defines the problem and organizes the literatur…

cs.LG2025

Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series

Ching Chang, Jeehyun Hwang, Yidan Shi +4

Time series data in real-world applications such as healthcare, climate modeling, and finance are often irregular, multimodal, and messy, with varying sampling rates, asynchronous…

cs.LG2024

Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems

Zijie Huang, Jeehyun Hwang, Junkai Zhang +6

Real-world multi-agent systems are often dynamic and continuous, where the agents co-evolve and undergo changes in their trajectories and interactions over time. For example, the C…

cs.LG2023★ 7 cited

Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks

Yanqiao Zhu, Jeehyun Hwang, Keir Adams +10

Molecular Representation Learning (MRL) has proven impactful in numerous biochemical applications such as drug discovery and enzyme design. While Graph Neural Networks (GNNs) are e…