X. T. Huang
Shandong Institute of Automation(CN)Beijing Academy of Artificial Intelligence(CN)
Publications by Year
Research Areas
Particle physics theoretical and experimental studies, Quantum Chromodynamics and Particle Interactions, High-Energy Particle Collisions Research, Neutrino Physics Research, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → Measurement of the Reactor Antineutrino Flux and Spectrum at Daya Bay(2016)231 cited
- → Evolution of the Reactor Antineutrino Flux and Spectrum at Daya Bay(2017)196 cited
- → Improved Constraints on Sterile Neutrino Mixing from Disappearance Searches in the MINOS, MINOS+, Daya Bay, and Bugey-3 Experiments(2020)64 cited
- → Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning(2023)11 cited
- → HAFLO: GPU-Based Acceleration for Federated Logistic Regression(2021)10 cited
- → Accelerating Privacy-Preserving Machine Learning With GeniBatch(2024)8 cited
- → Learning robust correlation with foundation model for weakly-supervised few-shot segmentation(2024)7 cited
- → RestNet: Boosting Cross-Domain Few-Shot Segmentation with Residual Transformation Network(2023)5 cited
- → CEIO: A Cache-Efficient Network I/O Architecture for NIC-CPU Data Paths(2025)4 cited
- → Full Data Release of the Daya Bay Reactor Neutrino Experiment(2022)4 cited