9 citations · 10 across the 6 of their papers we have counts for
6 papers
Exploring the latent space of diffusion models directly through singular value decomposition
Li Wang, Boyan Gao, Yanran Li +4
Despite the groundbreaking success of diffusion models in generating high-fidelity images, their latent space remains relatively under-explored, even though it holds significant pr…
Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation
Boyan Gao, Bo Zhao, Shreyank N Gowda +4
Dataset condensation aims to synthesize datasets with a few representative samples that can effectively represent the original datasets. This enables efficient training and produce…
Cognition Chain for Explainable Psychological Stress Detection on Social Media
Xin Wang, Boyan Gao, Yi Dai +4
Stress is a pervasive global health issue that can lead to severe mental health problems. Early detection offers timely intervention and prevention of stress-related disorders. The…
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Representation Space Guided Inversion
Chenqi Li, Boyan Gao, Gabriel Jones +2
Deep learning models have demonstrated exceptional performance in a variety of real-world applications. These successes are often attributed to strong base models that can generali…
Aquila2 Technical Report
Bo-Wen Zhang, Liangdong Wang, Jijie Li +6
This paper introduces the Aquila2 series, which comprises a wide range of bilingual models with parameter sizes of 7, 34, and 70 billion. These models are trained based on an innov…
FE-Adapter: Adapting Image-based Emotion Classifiers to Videos
Shreyank N Gowda, Boyan Gao, David A. Clifton
Utilizing large pre-trained models for specific tasks has yielded impressive results. However, fully fine-tuning these increasingly large models is becoming prohibitively resource-…