activity
20242026
collaborators

13 papers

astro-ph.SR2026

The Production of Electron-Capture Elements in Thermonuclear Supernovae: Theory vs. Observations

S. Shiber, P. Hoeflich, T. Mera +9

Type Ia supernovae (SNe Ia) explosively destroy carbon-oxygen white dwarfs (WDs) in multiple stellar systems. They produce approximately 50% of the iron-group elements in the Unive…

cs.CY2026

From Motion Signals to Insights: A Unified Framework for Student Behavior Analysis and Feedback in Physical Education Classes

Xian Gao, Jiacheng Ruan, Jingsheng Gao +4

Analyzing student behavior in educational scenarios is crucial for enhancing teaching quality and student engagement. Existing AI-based models often rely on classroom video footage…

cs.CV2026

BasketHAR: A Multimodal Dataset for Human Activity Recognition and Sport Analysis in Basketball Training Scenarios

Xian Gao, Haoyue Zhang, Zongyun Zhang +3

Human Activity Recognition (HAR) involves the automatic identification of user activities and has gained significant research interest due to its broad applicability. Most HAR syst…

cs.LG2026

Beyond Uniform SVD:Dual-Level Optimization across Columns and Modules for LLM Compression

Lin Xv, Xian Gao, Ting Li +1

Low-rank decomposition, particularly Singular Value Decomposition (SVD), is a pivotal technique for mitigating the storage and computational demands of Large Language Models (LLMs)…

cs.CY2026

OnlineMate: An LLM-Based Multi-Agent Companion System for Cognitive Support in Online Learning

Xian Gao, Zongyun Zhang, Ting Liu +1

In online learning environments, students often lack personalized peer interactions, which are crucial for cognitive development and learning engagement. Although previous studies…

cs.LG2025

ARA: Adaptive Rank Allocation for Efficient Large Language Model SVD Compression

Lin Xv, Jingsheng Gao, Xian Gao +2

In the field of large language model (LLM) compression, singular value decomposition (SVD) is a widely studied and adopted low-rank decomposition technique. Since SVD operates excl…