Suining He — accepted AI-conference papers

2026

Visual Grounding Via Heterogeneous Representation Learning and Hierarchical Reasoning of Human-To-Vehicle Commands

ICRA 2026poster

With the proliferation of autonomous vehicles (AVs) and their increasing interaction and communication with the riders, how to ground or locate the visual objects of interests (OoIs), such as the concerned pedestrians and other traffic participants, based on the human riders’ natural language and co…

Cited by 0 Scholar ↗

2023

Interaction-Aware and Hierarchically-Explainable Heterogeneous Graph-based Imitation Learning for Autonomous Driving Simulation

Mahan Tabatabaie, Suining He, Kang G. Shin

IROS 2023poster

Understanding and learning the actor-to-X inter-actions (AXIs), such as those between the focal vehicles (actor) and other traffic participants (e.g., other vehicles, pedestrians) as well as traffic environments (e.g., city/road map), is essential for the development of a decision-making model and s…

Cited by 3 Source ↗Scholar ↗