الباحثون

Changchun Li

المنشورات 2

نسخة أولية وصول مفتوح

DensePed-Lite: Quality-Aware Adaptive Detection for Dense Pedestrians under Occlusion

ZiAn Wang, MingZhe Liu, Chaoyi Guo وآخرون · 2026

Pedestrian detection plays a crucial role in computer vision with applications in autonomous driving, surveillance, and public safety. However, real-world dense scenes bring severe challenges, including heavy occlusion, drastic scale variations, and strict real-time requirements. Existing lightweight detectors struggle …

نسخة أولية وصول مفتوح

Estimating and Orthogonalizing Unknown Pre-training Gradients for Continual Fine-tuning of Large Language Models

Bing Wang, Changchun Li, Xin-Qiang Cai وآخرون · 2026

Continual fine-tuning is essential for large language models (LLMs) to dynamically adapt to real-world environments, yet it inevitably suffers from catastrophic forgetting, particularly the performance degradation of previous tasks and LLMs' general-purpose knowledge. Although existing methods, such as orthogonal gradi …

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