Jie Zhang

Direct radar velocity measurements can anchor visual object permanence through complete optical dropouts and clutter, driving a massive 30-point MOTA leap in multimodal moving-object tracking.

Language-model judges may be fundamentally unreliable, with repeatability scores failing to meet established benchmarks, jeopardizing the integrity of AI evaluations.

Intent-targeted tools reveal that LLMs often signal harmful intentions before executing risky actions, enabling real-time intervention strategies.

Aggregating insights from neighboring users' reviews can transform how we tackle data sparsity in recommender systems, leading to better predictions and richer explanations.

IQACO not only boosts observation efficiency for agile satellites but also adapts dynamically to the unpredictable nature of maritime targets.