Zhanqiang Huo

LoRA-Efficient Multi-Task Learning with Joint Semantic and Paralinguistic Distillation for Speech Emotion Recognition

Speech Emotion Recognition (SER) is an important but challenging research topic in affective computing, aiming to identify the emotional state of a speaker from their speech. Emotional information in an utterance is carried by two complementary channels: the semantic content of the words (what is said) and the paraling...

Motion-Adaptive soft shift and pyramid-projection binary convolution for low-light raw video denoising

Enhancing low-light images through HVI color space with spatial-frequency domain integration

SFH-Net is proposed, an horizontal-vertical-intensity (HVI)-guided luminance-chrominance collaborative enhancement framework that achieves a better trade-off among reconstruction accuracy, structural fidelity, and parameter compactness.

CARE: conflict-aware regulation and evolution for continual test-time open-vocabulary semantic segmentation

A continual test-time adaptation framework that updates only a small subset of model parameters that consistently outperforms existing TTA and OVSS adaptation baselines across multiple datasets and corruptions, while maintaining stable performance over extended and cross-corruption continual streams without introducing...