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20232026
most citedAI-Powered CPS-Enabled Vulnerable-User-Aware Urban Transportation Digital Twin: Methods and Applications

3 citations · 6 across the 10 of their papers we have counts for

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cs.LG2026

Dynamic Minimax Regret Optimization for Robust LLM Post-Training

Chengbo Zang, Haoyu Dong, Mehmet Kerem Turkcan +3

Modern LLM training increasingly relies on heterogeneous data sources spanning different domains, tasks, preference distributions, and difficulty levels. We study dynamic minimax r…

cs.NI2026

ASTRA: Low-Overhead Runtime Architecture for STReam Adaptation in Video Analytics

Mahshid Ghasemi, Zoran Kostic, Javad Ghaderi +1

Real-time video analytics is crucial for smart city applications and cloud-connected vehicle control. To improve analytics accuracy, it is desirable to process the video at the hig…

cs.NI2026

Denial of Deadline: Network-Driven Accuracy Collapse in Distributed Inference Pipelines

Jhonatan Tavori, Gur-Eyal Sela, Ion Stoica +1

Inference systems increasingly combine a fast path that returns predictions within the application's latency deadline together with a higher-accuracy slow path that runs higher-com…

cs.LG2026

Multi-Pedestrian Safety Warning at Urban Intersections Use Case of Digital Twin

Yongjie Fu, Qi Gao, Mahshid Ghasemi Dehkordi +2

Digital twins (DTs) for urban transportation systems have gained increasing attention; however, their systematic evaluation in safety-critical scenarios remains limited. This paper…

cs.CV2026

A Vision-Based Analysis of Congestion Pricing in New York City

Mehmet Kerem Turkcan, Jhonatan Tavori, Javad Ghaderi +3

We examine the impact of New York City's congestion pricing program through automated analysis of traffic camera data. Our computer vision pipeline processes footage from over 900…