Wentao Liu

Training-free feature clustering beats sophisticated token-pruning heuristics in Video LLMs, maintaining competitive downstream accuracy even when discarding 99% of visual tokens.

COPA is a robust active-perception framework for global-state-free aerial-ground cooperation that derives an active-perception model that relates UAV motion, gimbal angle, and UGV motion to the target image-plane state and uses these predictions to jointly optimize UAV and gimbal control.

Achieving decimeter-level positioning accuracy with low-cost single-frequency GNSS receivers could revolutionize autonomous navigation by eliminating the need for expensive infrastructure.

Current AI models for liver fibrosis staging can match expert radiologists in some settings, but real-world clinical deployment is still hampered by data heterogeneity and label imbalance.