collaborators

15 papers

cs.CV2026

Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models

Yebin Zheng, Haonan An, Guang Hua +2

Latent domain watermarking for diffusion models embeds watermarks directly into the latent prior, enjoying non-intrusiveness to model parameters and seamless integration with the g…

cs.NI2026

Update the Unseen Only: Minimizing AoI for Collaborative Perception through Online Learning

Yanan Ma, Zhuoyi Zhao, Zhengru Fang +3

While collaborative perception (CP) enhances the safety of autonomous driving, limited bandwidth can cause severe shared data staleness in CP systems. Existing age-of-information (…

cs.CV2026

FRUC: Feedforward Dynamic Scene Reconstruction from Uncalibrated Collaborative Driving Views

Yihang Tao, Yu Guo, Zhengru Fang +2

We present FRUC, a feed-forward 3D Gaussian splatting framework for dynamic scene reconstruction from uncalibrated collaborative driving views. Existing multi-agent reconstruction…

cs.CV2026

GCP: Guarded Collaborative Perception with Spatial-Temporal Aware Malicious Agent Detection

Yihang Tao, Senkang Hu, Yue Hu +3

Collaborative perception significantly enhances autonomous driving safety by extending each vehicle's perception range through message sharing among connected and autonomous vehicl…

cs.AI2026

Shared Spatial Memory Through Predictive Coding

Zhengru Fang, Yu Guo, Yuang Zhang +3

Constructing a consistent shared spatial memory is a critical challenge in multi-agent systems, where partial observability and limited bandwidth often lead to catastrophic failure…

cs.LG2026

Aggregation Alignment for Federated Learning with Mixture-of-Experts under Data Heterogeneity

Zihan Fang, Qianru Wang, Haonan An +4

Large language models (LLMs) increasingly adopt Mixture-of-Experts (MoE) architectures to scale model capacity while reducing computation. Fine-tuning these MoE-based LLMs often re…