activity
20152025
most citedHighly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes

306 citations · 723 across the 23 of their papers we have counts for

collaborators

25 papers

cs.LG2025★ 80 cited

A Novel Deep Neural Network Architecture for Real-Time Water Demand Forecasting

Tony Salloom, Okyay Kaynak, Wei He

Short-term water demand forecasting (StWDF) is the foundation stone in the derivation of an optimal plan for controlling water supply systems. Deep learning (DL) approaches provide…

cs.CV2023★ 2 cited

Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition

Wei He, Kai Han, Ying Nie +2

The development of foundation vision models has pushed the general visual recognition to a high level, but cannot well address the fine-grained recognition in specialized domain su…

hep-ex2023

Real-time Monitoring for the Next Core-Collapse Supernova in JUNO

Angel Abusleme, Thomas Adam, Shakeel Ahmad +623

The core-collapse supernova (CCSN) is considered one of the most energetic astrophysical events in the universe. The early and prompt detection of neutrinos before (pre-SN) and dur…

hep-ex2023★ 12 cited

JUNO sensitivity to the annihilation of MeV dark matter in the galactic halo

JUNO Collaboration, Angel Abusleme, Thomas Adam +596

We discuss JUNO sensitivity to the annihilation of MeV dark matter in the galactic halo via detecting inverse beta decay reactions of electron anti-neutrinos resulting from the ann…

hep-ex2023★ 17 cited

The JUNO experiment Top Tracker

JUNO Collaboration, Angel Abusleme, Thomas Adam +609

The main task of the Top Tracker detector of the neutrino reactor experiment Jiangmen Underground Neutrino Observatory (JUNO) is to reconstruct and extrapolate atmospheric muon tra…

hep-ex2022★ 15 cited

Model Independent Approach of the JUNO B Solar Neutrino Program

JUNO Collaboration, Jie Zhao, Baobiao Yue +593

The physics potential of detecting B solar neutrinos will be exploited at the Jiangmen Underground Neutrino Observatory (JUNO), in a model independent manner by using three dis…