170 citations
- Beijing Institute of TechnologyCN11 papers
- Chongqing UniversityCN11 papers
- Chongqing University of Science and TechnologyCN10 papers
- Nankai UniversityCN4 papers
- Sichuan UniversityCN4 papers
- Tongji UniversityCN4 papers
- Korea Institute for Advanced StudyKR3 papers
- Korea PostKR3 papers
- Peking UniversityCN3 papers
- Pohang University of Science and TechnologyKR3 papers
- University of California, Los AngelesUS3 papers
- Beijing Normal UniversityCN2 papers
86 papers
Towards general embodied intelligence: integrating large language models, knowledge bases, and reasoning capabilities to build the next generation of AI agents
Fujiang Yuan, Xia Huang, Lusheng Wang +7
The convergence of large language models (LLMs), structured knowledge bases (KBs), and reasoning ability (RA) presents a promising trajectory toward general embodied intelligence (…
RCL-Mamba: A Dual-domain State Space Model for Measurement-oriented Image Restoration in Rotational Sparse-View Scanning Computed Laminography
Xuyang Duan, Genyuan Zhang, Zhenjiang Dong +4
Rotational Scanning Computed Laminography (RCL) is widely utilized for the Non-Destructive Testing (NDT) of large planar components. However, to facilitate rapid inspection, contin…
Hyperspectral Image Classification via Efficient Global Spectral Supertoken Clustering
Peifu Liu, Tingfa Xu, Jie Wang +3
Hyperspectral image classification demands spatially coherent predictions and precise boundary delineation. Yet prevailing superpixel-based methods face an inherent contradiction:…
A General Discussion on Photon Spheres in Different Categories of Spacetimes
Chen-Kai Qiao, Ping Su, Yang Huang
Photon spheres have attracted considerable interest in the studies of black holes and other astrophysical objects. For different categories of spacetimes (or gravitational sources)…
Unveiling the distribution and redshift dependence of host galaxy dispersion measures using localized fast radio bursts
Yu Sang, Hai-Nan Lin
Fast Radio Bursts (FRBs) are enigmatic radio pulses whose origins are poorly understood. The dispersion measure of host galaxy () provides critical insights into t…
Fine-Grained Emotion Recognition via In-Context Learning
Zhaochun Ren, Zhou Yang, Chenglong Ye +4
Fine-grained emotion recognition aims to identify the emotional type in queries through reasoning and decision-making processes, playing a crucial role in various systems. Recent m…