Si-Qi Li

OV-EvDet: Event-Based Open-Vocabulary Object Detection

Hyper-RED: Scalable Event Pre-training via Semantic Hypergraph Distillation

Event cameras have shown great potential for robust visual perception, yet scaling event representation learning remains challenging due to the scarcity of large-scale annotated event data. Pretrained image models provide scalable semantic supervision, but existing image-to-event methods rely on rigid pixel-wise or tok...

Integrating multi-modal biological knowledge via contrastive dual-view graph learning for phosphorylation site-disease association prediction

CDVGL-PDA’s strong predictive performance across balanced, imbalanced, and low-similarity datasets is demonstrated, while case studies highlight its ability to uncover potential PDAs, illustrating its promise for advancing disease mechanism research and therapeutic target discovery.

GeoTrace: Geometry-Aware Trajectory Token Compression for Video Large Language Models

Although Video Large Language Models (Video LLMs) have shown strong performance in video understanding, their efficiency is still limited by the large number of visual tokens. Existing video token compression methods typically rely on frame-wise saliency or heuristic token merging, which can over-focus on locally salie...