1 citations · 1 across the 8 of their papers we have counts for
9 papers
Plan-to-Synthesis: Cross-City Human Mobility Generation via Semantic Latent Flow Matching
Zhoufu Wang, Baoshen Guo, Zhiqing Hong +6
Human mobility generation aims to synthesize realistic point-of-interest (POI) visitation trajectories and has become an important tool for travel behavior modeling, transportation…
Data-Driven Risk Fields for Safer End-to-End Autonomous Driving
Yuanxin Tian, Zhiyuan Liu, Jinhao Li +9
Safety is a fundamental requirement for autonomous driving, yet existing end-to-end driving models still lack explicit risk-aware learning capacities. Existing rule-based risk mode…
Enhancing the Socioeconomic Understanding of Foundation Models with Urban Mobility
Baoshen Guo, Donghang Li, Zhiqing Hong +4
Foundation models have recently been applied to urban socioeconomic prediction using POI text, satellite imagery, and geospatial descriptions. However, these models mostly rely on…
SENSE: Satellite-based ENergy Synthesis for Sustainable Environment
Kailai Sun, Mingyi He, Heye Huang +5
Urban Building Energy Modeling plays a critical role in achieving the United Nations' Sustainable Development Goals 7 and 11. Although existing studies based on satellite imagery a…
Hierarchical Control Framework Integrating LLMs with RL for Decarbonized HVAC Operation
Dianyu Zhong, Tian Xing, Kailai Sun +6
Heating, ventilation, and air conditioning (HVAC) systems account for a substantial share of building energy consumption. Environmental uncertainty and dynamic occupancy behavior b…
SACA: A Scenario-Aware Collision Avoidance Framework for Autonomous Vehicles Integrating LLMs-Driven Reasoning
Shiyue Zhao, Junzhi Zhang, Neda Masoud +3
Reliable collision avoidance under extreme situations remains a critical challenge for autonomous vehicles. While large language models (LLMs) offer promising reasoning capabilitie…
InVDriver: Intra-Instance Aware Vectorized Query-Based Autonomous Driving Transformer
Bo Zhang, Heye Huang, Chunyang Liu +2
End-to-end autonomous driving with its holistic optimization capabilities, has gained increasing traction in academia and industry. Vectorized representations, which preserve insta…
SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models
Zhiyuan Zhou, Heye Huang, Boqi Li +3
Recent advancements in autonomous vehicles (AVs) use Large Language Models (LLMs) to perform well in normal driving scenarios. However, ensuring safety in dynamic, high-risk enviro…
High-Speed Cornering Control and Real-Vehicle Deployment for Autonomous Electric Vehicles
Shiyue Zhao, Junzhi Zhang, Neda Masoud +3
Executing drift maneuvers during high-speed cornering presents significant challenges for autonomous vehicles, yet offers the potential to minimize turning time and enhance driving…