A5101754477- Quantum Chromodynamics and Particle Interactions
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Modular Robots and Swarm Intelligence
- Human Mobility and Location-Based Analysis
- Neural Networks and Reservoir Computing
- Neural Networks and Applications
- Mobile Crowdsensing and Crowdsourcing
- Paraquat toxicity studies and treatments
- Privacy-Preserving Technologies in Data
- Electrochemical Analysis and Applications
- Pesticide Residue Analysis and Safety
- Dark Matter and Cosmic Phenomena
- Interactive and Immersive Displays
- Quantum Computing Algorithms and Architecture
- Advanced Multi-Objective Optimization Algorithms
Southwest Minzu University
2024
South China University of Technology
2022-2024
Indiana University Bloomington
2005
New data are presented on $J/ψ\to ωK^+K^-$ from a sample of 58M $J/ψ$ events in the upgraded BES II detector at BEPC. There is conspicuous signal for $f_0(1710) \to K^+K^-$ and peak higher mass which may be fitted with $f_2(2150) K\bar K$. From combined analysis $ωπ^+ π^-$ data, branching ratio $BR(f_0(1710)\toππ)/BR(f_0(1710) K)$ $< 0.11$ 95% confidence level.
The absolute branching fraction of $D^+ \to \mu^+ \nu$ has been directly measured by an analysis a data sample about 33 ${\rm pb^{-1}}$ collected around $\sqrt{s}=3.773$ GeV with the BES-II at BEPC. At these energies, $D^-$ meson is produced in pair as $e^+e^-\to D^{+} D^{-}$. A total $5321 \pm 149 160$ mesons are reconstructed from this set. In recoil side tagged mesons, $2.67\pm1.74$ purely leptonic decay events observed. This yields $BF(D^+ \nu_{\mu}) = (0.122^{+0.111}_{-0.053}\pm...
Federated learning (FL) and split (SL) can coordinate multiple clients (e.g., end devices in mobile/IoT networks) to collaboratively train deep models without exposing clients' raw data. Generally, FL converges faster than SL, while SL requires less client-side resource FL. To excavate their complementary advantages, recent works mostly apply improve SL. These one-way synergy approaches hence face the same limitation as i.e., rely on an online server or download entire large model make...
Many mobile games adopt autobattle systems in which the major consideration of players is how to assemble strong teams. The automated team assembly (ATA) becomes a crucial issue from different standpoints, such as assisting game designers performing balance analysis and directing configure Since ATA generally combinatorial optimization problem, this article exploits evolutionary optimizers. However, unlike traditional problems that evaluation functions are explicit, ATA, we unable evaluate...