978 citations
- Chinese Academy of SciencesCN2 papers
- University of Science and Technology of ChinaCN2 papers
- Bilkent UniversityTR1 paper
- China West Normal UniversityCN1 paper
- CITIC Group (China)CN1 paper
- Collaborative Innovation Center of Advanced MicrostructuresCN1 paper
- Fudan UniversityCN1 paper
- Harbin Institute of TechnologyCN1 paper
- Hebei Normal UniversityCN1 paper
- Heilongjiang UniversityCN1 paper
- Individual DifferencesUS1 paper
- Institute of High Energy PhysicsCN1 paper
10 papers
MCSI: A Masked Commutative Supersingular Isogeny Key Exchange with Blinded Ephemeral Keys
Furkan Cifci, Osman Emre Donder, Reyyan Cifci
We introduce MCSI, a two message key exchange we design over the CSIDH class group action, in which each party sends its ephemeral public element under an authenticated encryption…
The origin of B-type runaway stars based on kinematics
Yanjun Guo, Chao Liu, ZhiCun Liu +5
Runaway stars depart their birthplaces with high peculiar velocities. Two mechanisms are commonly invoked to explain their origin, the binary supernova scenario (BSS) and the dynam…
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-AI, Daya Guo, Dejian Yang +195
General reasoning represents a long-standing and formidable challenge in artificial intelligence. Recent breakthroughs, exemplified by large language models (LLMs) and chain-of-tho…
Accelerating Unruh-DeWitt detectors coupled with a spinor field
Dawei Wu, Shan-Chang Tang, Yu Shi
The behavior of accelerating Unruh-DeWitt detectors coupled with a spinor field in (3+1)-dimensional spacetime is investigated. For a single point-like detector with Gaussian switc…
Structural phase transitions and superconductivity in the Heusler intermetallics PdSn ( = Ti, Zr, Hf)
Hang Su, Feng Du, Rui Li +7
We report the discovery of structural phase transitions and superconductivity in the full Heusler compounds PdSn ( = Ti, Zr, Hf), by means of electrical transport, magnet…
Magnitude-image based data-consistent deep learning method for MRI super resolution
Ziyan Lin, Zihao Chen
Magnetic Resonance Imaging (MRI) is important in clinic to produce high resolution images for diagnosis, but its acquisition time is long for high resolution images. Deep learning…