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S. Li

5 papers hereh-index 18 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • eess.SY4
  • cs.RO1
same name
  • S. Li — 330 papers
  • S. Li — 164 papers, h 9
  • S. Li — 72 papers, h 5
  • S. Li — 54 papers, h 9
  • S. Li — 50 papers, h 19
  • S. Li — 49 papers, h 29

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing eess.SYShow all

4 papers · 1 filter

eess.SY2026

Distributionally Robust Tolls for Traffic Networks with Affine Latency Functions

Chih-Yuan Chiu, Sarah H. Q. Li, Bryce L. Ferguson

In network congestion games, system operators often utilize latency models, estimated from real-world traffic flow and travel time data, to design monetary incentives which steer e…

eess.SY2026

Allocating Corrective Control to Mitigate Multi-agent Safety Violations Under Private Preferences

Johnathan Corbin, Sarah H. Q. Li, Jonathan Rogers

We propose a novel framework that computes the corrective control efforts to ensure joint safety in multi-agent dynamical systems. This framework efficiently distributes the requir…

eess.SY2025

When the Correct Model Fails: The Optimality of Stackelberg Equilibria with Follower Intention Updates

Cayetana Salinas-Rodriguez, Jonathan Rogers, Sarah H. Q. Li

We study a two-player dynamic Stackelberg game where the follower's intention is unknown to the leader. Classical formulations of the Stackelberg equilibrium (SE) assume that the f…

eess.SY2024

Multi-agent Reach-avoid MDP via Potential Games and Low-rank Policy Structure

Adam Casselman, Abraham P. Vinod, Sarah H. Q. Li

We optimize finite horizon multi-agent reach-avoid Markov decision process (MDP) via \emph{local feedback policies}. The global feedback policy solution yields global optimality bu…

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