From the 1 of 11 papers with an AI index.
- Anhui UniversityCN2 papers
- Chinese Academy of SciencesCN2 papers
- Shenzhen UniversityCN2 papers
- Tsinghua UniversityCN2 papers
- University of Alabama at BirminghamUS2 papers
- University of Chinese Academy of SciencesCN2 papers
- Xiamen University of TechnologyCN2 papers
- Aarhus UniversityDK1 paper
- Academy of Mathematics and Systems ScienceCN1 paper
- Anhui University of Science and TechnologyCN1 paper
- Arcetri Astrophysical ObservatoryIT1 paper
- Astronomical Observatory of CapodimonteIT1 paper
11 papers
OPERA: Offline Policy-guided Expert Routing and Adaptation for Universal Biomedical Image Analysis
Zihan Li, Feiyang Liu, Dandan Shan +2
Biomedical image analysis spans diverse modalities and tasks, yet real-world deployment is hindered by severe distribution shifts across scanners, protocols, and patient population…
Megaparsec-Scale Neutral Hydrogen Flows in the Neighborhood of Hickson Compact Group 100
Qingzheng Yu, Taotao Fang, Enrico M. Di Teodoro +2
The evolution of galaxies is strongly influenced by their ability to exchange gas with their surroundings, yet direct observational constraints on these processes remain scarce. Us…
TXL Fusion: A Hybrid Machine Learning Framework Integrating Chemical Heuristics and Large Language Models for Topological Materials Discovery
Arif Ullah, Rajibul Islam, Yangming Huang +4
The paper presents TXL Fusion, a hybrid machine‑learning system that combines chemical heuristics, physics‑based descriptors, and large language model embeddings to classify and pr…
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…
Network Dynamics-Based Framework for Understanding Deep Neural Networks
Yuchen Lin, Yong Zhang, Sihan Feng +1
Advancements in artificial intelligence call for a deeper understanding of the fundamental mechanisms underlying deep learning. In this work, we propose a theoretical framework to…
Quantum-inspired Chemical Rule for Discovering Topological Materials
Xinyu Xu, Rajibul Islam, Ghulam Hussain +5
Topological materials exhibit unique electronic structures that underpin both fundamental quantum phenomena and next-generation technologies, yet their discovery remains constraine…