Jiaqi Ma

12

Papers

20

Total Citations

Papers (12)

V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction

Pseudo Facial Generation With Extreme Poses for Face Recognition

V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception

HM-ViT: Hetero-Modal Vehicle-to-Vehicle Cooperative Perception with Vision Transformer

Optimizing the Placement of Roadside LiDARs for Autonomous Driving

V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer

TurboTrain: Towards Efficient and Balanced Multi-Task Learning for Multi-Agent Perception and Prediction

A Flexible Generative Framework for Graph-based Semi-supervised Learning

Towards More Practical Adversarial Attacks on Graph Neural Networks

Subgroup Generalization and Fairness of Graph Neural Networks

A Metadata-Driven Approach to Understand Graph Neural Networks

Post Hoc Explanations of Language Models Can Improve Language Models