6 papers
Efficient Personalized Federated PCA with Manifold Optimization for IoT Anomaly Detection
Xianchao Xiu, Chenyi Huang, Wei Zhang +1
Internet of things (IoT) networks face increasing security threats due to their distributed nature and resource constraints. Although federated learning (FL) has gained prominence…
Expand and Prune: Maximizing Trajectory Diversity for Effective GRPO in Generative Models
Shiran Ge, Chenyi Huang, Yuang Ai +3
Group Relative Policy Optimization (GRPO) is a powerful technique for aligning generative models, but its effectiveness is bottlenecked by the conflict between large group sizes an…
Federated Structured Sparse PCA for Anomaly Detection in IoT Networks
Chenyi Huang, Xianchao Xiu
Although federated learning has gained prominence as a privacy-preserving framework tailored for distributed Internet of Things (IoT) environments, current federated principal comp…
Bi-Sparse Unsupervised Feature Selection
Xianchao Xiu, Chenyi Huang, Pan Shang +1
To deal with high-dimensional unlabeled datasets in many areas, principal component analysis (PCA) has become a rising technique for unsupervised feature selection (UFS). However,…
CalliReader: Contextualizing Chinese Calligraphy via an Embedding-Aligned Vision-Language Model
Yuxuan Luo, Jiaqi Tang, Chenyi Huang +2
Chinese calligraphy, a UNESCO Heritage, remains computationally challenging due to visual ambiguity and cultural complexity. Existing AI systems fail to contextualize their intrica…
Enhancing Unsupervised Feature Selection via Double Sparsity Constrained Optimization
Xianchao Xiu, Anning Yang, Chenyi Huang +2
Unsupervised feature selection (UFS) is widely applied in machine learning and pattern recognition. However, most of the existing methods only consider a single sparsity, which mak…