collaborators

6 papers

cs.CL2026

LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories

Baochang Ren, Xinjie Liu, Xi Chen +15

Scientific laboratories increasingly rely on AI systems to reason about experiments, but the physical act of doing science remains largely outside their reach. AI can help read lit…

eess.SY2026

Linear-Quadratic Gaussian Games with Distributed Sparse Estimation

Tianyu Qiu, Filippos Fotiadis, Xinjie Liu +5

Linear-quadratic Gaussian games provide a framework for modeling strategic interactions in multi-agent systems, where agents must estimate system states from noisy observations whi…

cs.LG2026

A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation

Xinjie Liu, Cyrus Neary, Kushagra Gupta +4

Many reinforcement learning (RL) algorithms are impractical for training in operational systems or computationally expensive high-fidelity simulations, as they require large amount…

cs.LG2026

Bayesian Inverse Games with High-Dimensional Multi-Modal Observations

Yash Jain, Xinjie Liu, Lasse Peters +2

Many multi-agent interaction scenarios can be naturally modeled as noncooperative games, where each agent's decisions depend on others' future actions. However, deploying game-theo…

cs.RO2025

Inferring Foresightedness in Dynamic Noncooperative Games

Cade Armstrong, Ryan Park, Xinjie Liu +2

Dynamic game theory is an increasingly popular tool for modeling multi-agent, e.g. human-robot, interactions. Game-theoretic models presume that each agent wishes to minimize a pri…

cs.CV2025

EHPE: A Segmented Architecture for Enhanced Hand Pose Estimation

Bolun Zheng, Xinjie Liu, Qianyu Zhang +3

3D hand pose estimation has garnered great attention in recent years due to its critical applications in human-computer interaction, virtual reality, and related fields. The accura…