6 papers
Decentralized Rank Scheduling for Energy-Constrained Multi-Task Federated Fine-Tuning in Edge-Assisted IoV Networks
Bokeng Zheng, Jianqiang Zhong, Jiayi Liu +3
Large-scale Internet of Vehicles (IoV) deployments increasingly demand the on-device adaptation of foundation models to support diverse, mission-critical perception tasks. While fe…
EgoTraj-Bench: Towards Robust Trajectory Prediction Under Ego-view Noisy Observations
Jiayi Liu, Jiaming Zhou, Ke Ye +3
Reliable trajectory prediction from an ego-centric perspective is crucial for robotic navigation in human-centric environments. However, existing methods typically assume noiseless…
From Watch to Imagine: Steering Long-horizon Manipulation via Human Demonstration and Future Envisionment
Ke Ye, Jiaming Zhou, Yuanfeng Qiu +4
Generalizing to long-horizon manipulation tasks in a zero-shot setting remains a central challenge in robotics. Current multimodal foundation based approaches, despite their capabi…
Exploring the Limits of Vision-Language-Action Manipulations in Cross-task Generalization
Jiaming Zhou, Ke Ye, Jiayi Liu +6
The generalization capabilities of vision-language-action (VLA) models to unseen tasks are crucial to achieving general-purpose robotic manipulation in open-world settings. However…
AdapCsiNet: Environment-Adaptive CSI Feedback via Scene Graph-Aided Deep Learning
Jiayi Liu, Jiajia Guo, Yiming Cui +2
Accurate channel state information (CSI) is critical for realizing the full potential of multiple-antenna wireless communication systems. While deep learning (DL)-based CSI feedbac…
Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation
Kailin Li, Zhenxin Li, Shiyi Lan +6
Hydra-MDP++ introduces a novel teacher-student knowledge distillation framework with a multi-head decoder that learns from human demonstrations and rule-based experts. Using a ligh…