探索学科内的新兴知识趋势，是科研人员理解历史发展、把握未来方向的重要途径。今天和大家分享近期在Journal of the American Statistical ...

Abstract: Accurate system identification is crucial for model-based control, planning, and algorithm training. Although numerous robotic model structures have been established, the specific parameter ...

Over the past several years, the lion’s share of artificial intelligence (AI) investment has poured into training infrastructure—massive clusters designed to crunch through oceans of data, where speed ...

Abstract: This paper proposed an approximate model for the global power spectral density (PSD) of primary users (PUs). Based on the proposed model, a novel cooperative spectrum sensing algorithm was ...

Accurate disaster prediction combined with reliable uncertainty quantification is crucial for timely and effective decision-making in emergency management. However, traditional deep learning methods ...

ABSTRACT: In this paper, we investigate the convergence of the generalized Bregman alternating direction method of multipliers (ADMM) for solving nonconvex separable problems with linear constraints.

Key Laboratory of Theoretical and Computational Photochemistry, Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, People’s Republic of China ...