306 citations
- University of Chinese Academy of SciencesCN479 papers
- Chinese Academy of SciencesCN474 papers
- Peking UniversityCN448 papers
- Nanjing UniversityCN347 papers
- University of Science and Technology of ChinaCN317 papers
- Shandong UniversityCN315 papers
- Tsinghua UniversityCN298 papers
- Shanghai Jiao Tong UniversityCN289 papers
- National Astronomical ObservatoriesCN267 papers
- Zhengzhou UniversityCN266 papers
- Sichuan UniversityCN265 papers
- Institute of High Energy PhysicsCN262 papers
1,283 papers
The Evolution of Thermal and Non-thermal Emission Components in GRB 250920C
Jia-Ming Chen, Ke-Rui Zhu, Shan Chang +5
We present a temporal and time-resolved spectral analysis of GRB 250920C using \textit{Fermi}/GBM and \textit{Swift}/BAT data. The prompt emission consists of two distinct episodes…
Energy-dependent extension of the Crab Nebula as a diagnostic of ultrahigh-energy hadronic emission
Fang-Wu Lu, Bo-Tao Zhu, Ji-Yang Ren +1
The energy-dependent apparent extension of the Crab Nebula, inconsistent with leptonic expectations between X-ray and TeV bands, can be naturally accounted for in a spatially resol…
Link prediction on multi-relational graphs from an influence propagation perspective
Zidu Yin, Yuankai Qi, Dong Gong +3
Predicting the existence and type of links (edges) between nodes in a multi-relational graph is key for applications from social interaction prediction to knowledge relationship id…
DICA: Dual-Indicator Guided Contrastive Alignment in Multimodal Large Language Models
Hao Yang, Jin Wang, Xuejie Zhang
Human visual reasoning typically follows a coarse-to-fine attention process, starting from global scene understanding and gradually focusing on question-relevant regions. However,…
SN 2022erq: A Superluminous Thermonuclear Supernova with Escalating Preexplosion Mass Loss
Qian Zhai, Jujia Zhang, Xiaofeng Wang +51
We present a photometric and spectroscopic study of the superluminous Type Ia supernova SN 2022erq. Its early spectra, dominated by iron-group elements with weak intermediate-mass…
EVL-MCoT: Enhanced Vision-Language Multi-CoT for Harmful Meme Detection
Hao Yang, Jin Wang, Xuejie Zhang
MEMEs are widely used on the internet and often carry strong elements of sarcasm or irony. Understanding their hidden meanings typically requires a joint interpretation of text and…