Computational Data Science Lab

Neural Methods for Optimization

We are often dealing with decision-making tasks associated with models subject to environment uncertainties. In this project, we develop algorithmic and learning foundations for data-driven optimization.
Publications: WWW 2025, CSUR 2025, PAKDD 2024, CIKM 2023, NeurIPS 2021, NeurIPS 2020

Social Influence Analysis

Dynamics of opinions, epidemics, and behaviors are fundamental phenomena. In this project, we develop learning and algorithmic techniques for modeling and managing social influence.
Publications: CSoNet 2024 (Best Paper Award), NeurIPS 2022, IJCAI 2022, INFOCOM 2019, NeurIPS 2018, INFOCOM 2017

Cyber-Physical Systems

In collaboration with other research labs, our research aims to provide algorithmic and machine learning solutions to applications in various cyber-physical systems, including connected autonomous vehicles, wireless networks, real-time systems, and point cloud based sensing technologies.
Publications: TIOT 2022, NeurIPS 2022, IoT-J 2020, MetroCAD 2020