collaborators

8 papers

cs.RO2026

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…

eess.SY2026

IF-CPS: Influence Functions for Cyber-Physical Systems -- A Unified Framework for Diagnosis, Curation, and Safety Attribution

Jiachen Li, Shihao Li, Soovadeep Bakshi +2

Neural network controllers trained via behavior cloning are increasingly deployed in cyber-physical systems (CPS), yet practitioners lack tools to trace controller failures back to…

eess.SY2026

Stochastic Trajectory Influence Functions for LQR: Joint Sensitivity Through Dynamics and Noise Covariance

Jiachen Li, Shihao Li, Soovadeep Bakshi +2

We present a three-level influence hierarchy for data valuation in stochastic LQR. At the \emph{model level}, the trajectory influence surrogate $\IFm_k := H^{-1}g_k$ approximates…

eess.SY2025

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…

eess.SY2025

From Natural Language to Certified H-infinity Controllers: Integrating LLM Agents with LMI-Based Synthesis

Shihao Li, Jiachen Li, Jiamin Xu +1

We present \textsc{S2C} (Specification-to-Certified-Controller), a multi-agent framework that maps natural-language requirements to certified state-feedback co…

cs.LG2025

Algorithm-Relative Trajectory Valuation in Policy Gradient Control

Shihao Li, Jiachen Li, Jiamin Xu +3

We study how trajectory value depends on the learning algorithm in policy-gradient control. Using Trajectory Shapley in an uncertain LQR, we find a negative correlation between Per…

math.OC2025

Existence and Uniqueness of Solution for Linear Complementarity Problem in Contact Mechanics

Jiamin Xu, Nazli Demirer, Vy Pho +5

Although a unique solution is guaranteed in the Linear complementarity problem (LCP) when the matrix is positive definite, practical applications often involve cases w…

eess.SY2025

Influence Functions for Data Attribution in Linear System Identification and LQR Control

Jiachen Li, Shihao Li, Soovadeep Bakshi +2

When a controller is designed from an identified model, its performance ultimately depends on the trajectories used for identification, but pinpointing which ones help or hurt rema…