5 papers
DRIFT: Driving Risk Inference via Field Transmission for Human-like Autonomous Driving
Zian Wang, Yiming Shu, Zejian Deng +1
Risk fields offer spatially structured alternatives to scalar safety metrics. However, hand-crafted static risk field models struggle with occlusion and topology-driven propagation…
Game-Theoretic Modeling of Heterogeneous Investor Interactions for Stock Price Forecasting
Yong Zhang, Xinxiao Wu, Yunde Jia +1
Accurate stock price forecasting has consistently remained a pivotal yet challenging FinTech task that underpins quantitative trading and investment decision making. Recent efforts…
Map-Agnostic And Interactive Safety-Critical Scenario Generation via Multi-Objective Tree Search
Wenyun Li, Zejian Deng, Chen Sun
Generating safety-critical scenarios is essential for validating the robustness of autonomous driving systems, yet existing methods often struggle to produce collisions that are bo…
Generalizable Trajectory Prediction via Inverse Reinforcement Learning with Mamba-Graph Architecture
Wenyun Li, Wenjie Huang, Zejian Deng +1
Accurate driving behavior modeling is fundamental to safe and efficient trajectory prediction, yet remains challenging in complex traffic scenarios. This paper presents a novel Inv…
CHARMS: A Cognitive Hierarchical Agent for Reasoning and Motion Stylization in Autonomous Driving
Jingyi Wang, Duanfeng Chu, Zejian Deng +3
To address the challenge of insufficient interactivity and behavioral diversity in autonomous driving decision-making, this paper proposes a Cognitive Hierarchical Agent for Reason…