activity
20232025
most citedSurvey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application

2 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

cs.AI2025

HAROOD: A Benchmark for Out-of-distribution Generalization in Sensor-based Human Activity Recognition

Wang Lu, Yao Zhu, Jindong Wang

Sensor-based human activity recognition (HAR) mines activity patterns from the time-series sensory data. In realistic scenarios, variations across individuals, devices, environment…

cs.CV2025

Emotion Recognition in Signers

Kotaro Funakoshi, Yaoxiong Zhu

Recognition of signers' emotions suffers from one theoretical challenge and one practical challenge, namely, the overlap between grammatical and affective facial expressions and th…

cs.CL20242 cited

Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application

Chuanpeng Yang, Wang Lu, Yao Zhu +5

Large Language Models (LLMs) have showcased exceptional capabilities in various domains, attracting significant interest from both academia and industry. Despite their impressive p…

cs.LG2024

Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design

Yingrui Ji, Yao Zhu, Zhigang Li +3

In the dynamic realms of machine learning and deep learning, the robustness and reliability of models are paramount, especially in critical real-world applications. A fundamental c…

cs.CV2023

Enhancing Few-shot CLIP with Semantic-Aware Fine-Tuning

Yao Zhu, Yuefeng Chen, Wei Wang +7

Learning generalized representations from limited training samples is crucial for applying deep neural networks in low-resource scenarios. Recently, methods based on Contrastive La…