collaborators

5 papers

cs.CV2026

ZYT-World: A Real-Time Controllable World Model for Closed-Loop Autonomous-Driving Simulation

Boni Hu, Xiong Wei, Haoming Huang +20

Generative world models offer controllable and repeatable closed-loop simulation for end-to-end and vision-language-action driving policies, but production deployment exposes three…

cs.CV2026

CIVA: Critic-Induced Value-Subspace Attacks on Visual World-Model Agents

Jiancheng Wang, Mingli Zhu, Tong Zhang +4

Visual world-model agents such as DreamerV3 act through a recurrent latent state rather than a single observation, which weakens frame-wise observation attacks and makes their pert…

cs.CV2026

Domain Adaptive Object Detection via Dual-Stream Bilevel-Cycle Optimization

Yannan Chen, Wei Wang, Wenqiang Wang +5

Cycle self-training (CST) breaks the shared classifier assumption of the standard self-training framework, which is effective for unsupervised domain adaptation and exploits unlabe…

cs.LG2026

Understanding DNNs in Feature Interaction Models: A Dimensional Collapse Perspective

Jiancheng Wang, Mingjia Yin, Hao Wang +1

DNNs have gained widespread adoption in feature interaction recommendation models. However, there has been a longstanding debate on their roles. On one hand, some works claim that…

cs.CV2026

Multimodal Backdoor Attack on VLMs for Autonomous Driving via Graffiti and Cross-Lingual Triggers

Jiancheng Wang, Lidan Liang, Yong Wang +4

Visual language model (VLM) is rapidly being integrated into safety-critical systems such as autonomous driving, making it an important attack surface for potential backdoor attack…