21 papers
VLM-in-the-Loop: A Plug-In Quality Assurance Module for ECG Digitization Pipelines
Jiachen Li, Shihao Li, Soovadeep Bakshi +2
ECG digitization could unlock billions of archived clinical records, yet existing methods collapse on real-world images despite strong benchmark numbers. We introduce \textbf{VLM-i…
Behavioral Score Diffusion: Model-Free Trajectory Planning via Kernel-Based Score Estimation from Data
Shihao Li, Jiachen Li, Jiamin Xu +1
Diffusion-based trajectory optimization has emerged as a powerful planning paradigm, but existing methods require either learned score networks trained on large datasets or analyti…
Gradient-Based Data Valuation Improves Curriculum Learning for Game-Theoretic Motion Planning
Shihao Li, Jiachen Li, Dongmei Chen
We demonstrate that gradient-based data valuation produces curriculum orderings that significantly outperform metadata-based heuristics for training game-theoretic motion planners.…
Data-Attributed Adaptive Control Barrier Functions: Safety-Certified Training Data Curation via Influence Analysis
Jiachen Li, Shihao Li, Dongmei Chen
Learning-based adaptation of Control Barrier Function (CBF) parameters offers a promising path toward safe autonomous navigation that balances conservatism with performance. Yet th…
DM-MPPI: Datamodel for Efficient and Safe Model Path Integral Control
Jiachen Li, Xu Duan, Shihao Li +2
We extend the Datamodels framework from supervised learning to Model Predictive Path Integral (MPPI) control. Whereas Datamodels estimate sample influence via regression on a fixed…
Datamodel-Based Data Selection for Nonlinear Data-Enabled Predictive Control
Jiachen Li, Shihao Li, Jiamin Xu +2
Data-Enabled Predictive Control (DeePC) has emerged as a powerful framework for controlling unknown systems directly from input-output data. For nonlinear systems, recent work has…