10 citations · 15 across the 8 of their papers we have counts for
9 papers
VLALight: A Vision-Language-Action Model for Traffic Signal Control
Pan Zhang, Siqi Lai, Kemu Dong +1
Traffic signal control (TSC) is essential for improving urban mobility and reducing congestion. Although roadside cameras are widely deployed at signalized intersections and provid…
TrafficClaw: A Generalizable LLM Agent in the Unified Physical Environment for Urban Traffic Control
Siqi Lai, Pan Zhang, Yuping Zhou +3
Large language model (LLM) agents have shown strong capabilities in long-horizon reasoning, tool use, and decision-making in digital environments, yet extending them to physically…
An LLM-Powered Cooperative Framework for Large-Scale Multi-Vehicle Navigation
Yuping Zhou, Siqi Lai, Jindong Han +1
The rise of Internet of Vehicles (IoV) technologies is transforming traffic management from isolated control to a collective, multi-vehicle process. At the heart of this shift is m…
Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025
Zonghao Ying, Siyang Wu, Run Hao +44
Multimodal Large Language Models (MLLMs) have enabled transformative advancements across diverse applications but remain susceptible to safety threats, especially jailbreak attacks…
USTBench: Benchmarking and Dissecting Spatiotemporal Reasoning of LLMs as Urban Agents
Siqi Lai, Yansong Ning, Zirui Yuan +2
Large language models (LLMs) have shown emerging potential in spatiotemporal reasoning, making them promising candidates for building urban agents that support diverse urban downst…
CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal Control
Zirui Yuan, Siqi Lai, Hao Liu
Traffic Signal Control (TSC) plays a critical role in urban traffic management by optimizing traffic flow and mitigating congestion. While Large Language Models (LLMs) have recentl…
LLMLight: Large Language Models as Traffic Signal Control Agents
Siqi Lai, Zhao Xu, Weijia Zhang +2
Traffic Signal Control (TSC) is a crucial component in urban traffic management, aiming to optimize road network efficiency and reduce congestion. Traditional TSC methods, primaril…
A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation
Siqi Lai, Weijia Zhang, Hao Liu
Vehicle Energy Consumption (VEC) estimation aims to predict the total energy required for a given trip before it starts, which is of great importance to trip planning and transport…
Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network
Fan Liu, Siqi Lai, Yansong Ning +1
Federated Graph Neural Network (FedGNN) has recently emerged as a rapidly growing research topic, as it integrates the strengths of graph neural networks and federated learning to…