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Yongcheng Li

2 accepted papers

2026

Dual-Phase Visual-Language Pretraining and Adaptation for Long-Tailed Multi-Label Recognition

AAAI 2026technical

Long-Tailed Multi-Label Recognition (LTML) is a critical yet challenging task due to two core issues: the severe scarcity of training samples for rare "tail" classes, and the complex co-occurrence patterns among labels that often lead to biased models. To address this, we propose DP-VLPA, a novel Du

Cited by 0SourcePDFScholar
2022

A CNN-Attention Network for Continuous Estimation of Finger Kinematics from Surface Electromyography

RA-L 2022

Dexterous control of robotic hand driven by human motor intent has drawn a lot of attention in both industrial and rehabilitation scenarios. Providing simultaneous and proportional control has become a prevailing solution recently. Towards improving the finger kinematics estimation precision and red

Cited by 49SourceScholar