3 citations · 4 across the 3 of their papers we have counts for
5 papers
Training deep physical neural networks with local physical information bottleneck
Hao Wang, Ziao Wang, Xiangpeng Liang +8
Deep learning has revolutionized modern society but faces growing energy and latency constraints. Deep physical neural networks (PNNs) are interconnected computing systems that dir…
Improving Pattern Recognition of Scheduling Anomalies through Structure-Aware and Semantically-Enhanced Graphs
Ning Lyu, Junjie Jiang, Lu Chang +3
This paper proposes a structure-aware driven scheduling graph modeling method to improve the accuracy and representation capability of anomaly identification in scheduling behavior…
First measurement of reactor neutrino oscillations at JUNO
Angel Abusleme, Thomas Adam, Kai Adamowicz +1131
Neutrino oscillations, a quantum effect manifesting at macroscopic scales, are governed by lepton flavor mixing angles and neutrino mass-squared differences that are fundamental pa…
Initial performance results of the JUNO detector
Angel Abusleme, Thomas Adam, Kai Adamowicz +1131
The Jiangmen Underground Neutrino Observatory (JUNO) started physics data taking on 26 August 2025. JUNO consists of a 20-kton liquid scintillator central detector, surrounded by a…
Prospects for geoneutrino detection with JUNO
Thomas Adam, Shakeel Ahmad, Rizwan Ahmed +625
Geoneutrinos, which are antineutrinos emitted during the decay of long-lived radioactive elements inside Earth, serve as a unique tool for studying the composition and heat budget…