Y. Feng
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View article: Research on Metal Surface Defect Detection Method Based on Deep Learning
Research on Metal Surface Defect Detection Method Based on Deep Learning Open
In deep learning single-stage object detection algorithms, the YOLO series has emerged as a prominent focus in the object detection domain due to its streamlined architecture, high detection efficiency, and excellent accuracy. The YOLOv8 v…
View article: TISDiSS: A Training-Time and Inference-Time Scalable Framework for Discriminative Source Separation
TISDiSS: A Training-Time and Inference-Time Scalable Framework for Discriminative Source Separation Open
Source separation is a fundamental task in speech, music, and audio processing, and it also provides cleaner and larger data for training generative models. However, improving separation performance in practice often depends on increasingl…
View article: Track reconstruction as a service for collider physics
Track reconstruction as a service for collider physics Open
Optimizing charged-particle track reconstruction algorithms is crucial for efficient event reconstruction in Large Hadron Collider (LHC) experiments due to their significant computational demands. Existing track reconstruction algorithms h…
View article: Deep Reinforcement Learning-Based Target Detection and Autonomous Obstacle Avoidance Control for UAV
Deep Reinforcement Learning-Based Target Detection and Autonomous Obstacle Avoidance Control for UAV Open
View article: Deployment of inference as a service at the US CMS Tier-2 data centers
Deployment of inference as a service at the US CMS Tier-2 data centers Open
Coprocessors, especially GPUs, will be a vital ingredient of data production workflows at the HL-LHC. At CMS, the GPU-as-a-service approach for production workflows is implemented by the SONIC project (Services for Optimized Network Infere…
View article: Deployment of Water-based Liquid Scintillator in the Accelerator Neutrino Neutron Interaction Experiment
Deployment of Water-based Liquid Scintillator in the Accelerator Neutrino Neutron Interaction Experiment Open
The Accelerator Neutrino Neutron Interaction Experiment (ANNIE) is a 26-ton water Cherenkov neutrino detector installed on the Booster Neutrino Beam (BNB) at Fermilab. Its main physics goals are to perform a measurement of the neutron yiel…
View article: Observation of the Electromagnetic Field Effect via Charge-Dependent Directed Flow in Heavy-Ion Collisions at the Relativistic Heavy Ion Collider
Observation of the Electromagnetic Field Effect via Charge-Dependent Directed Flow in Heavy-Ion Collisions at the Relativistic Heavy Ion Collider Open
The deconfined quark-gluon plasma (QGP) created in relativistic heavy-ion collisions enables the exploration of the fundamental properties of matter under extreme conditions. Noncentral collisions can produce strong magnetic fields on the …
View article: Deployment of Water-based Liquid Scintillator in the Accelerator Neutrino Neutron Interaction Experiment
Deployment of Water-based Liquid Scintillator in the Accelerator Neutrino Neutron Interaction Experiment Open
The Accelerator Neutrino Neutron Interaction Experiment (ANNIE) is a 26-ton water Cherenkov neutrino detector installed on the Booster Neutrino Beam (BNB) at Fermilab. Its main physics goals are to perform a measurement of the neutron yiel…
View article: Event-by-event correlations between <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi mathvariant="normal">Λ</mml:mi><mml:mo> </mml:mo><mml:mo>(</mml:mo><mml:mover accent="true"><mml:mi mathvariant="normal">Λ</mml:mi><mml:mo>¯</mml:mo></mml:mover><mml:mo>)</mml:mo></mml:math> hyperon global polarization and handedness with charged hadron azimuthal separation in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>Au</mml:mi><mml:mo>+</mml:mo><mml:mi>Au</mml:mi></mml:mrow></mml:math> collisions at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msqrt><mml:msub><mml:mi>s</mml:mi><mml:mrow><mml:mi>N</mml:mi><mml:mi>N</mml:mi></mml:mrow></mml:msub></mml:msqrt><mml:mo>=</mml:mo><mml:mn>27</mml:mn></mml:mrow></mml:math> GeV from STAR
Event-by-event correlations between hyperon global polarization and handedness with charged hadron azimuthal separation in collisions at GeV from STAR Open
Global polarizations (P) of Λ (Λ¯) hyperons have been observed in non-central heavy-ion collisions. The strong magnetic field primarily created by the spectator protons in such collisions would split the Λ and Λ¯ global polarizations (ΔP=P…
View article: Hyperon polarization along the beam direction relative to the second and third harmonic event planes in isobar collisions at $\sqrt{s_{NN}}$ = 200 GeV
Hyperon polarization along the beam direction relative to the second and third harmonic event planes in isobar collisions at $\sqrt{s_{NN}}$ = 200 GeV Open
The polarization of $Λ$ and $\barΛ$ hyperons along the beam direction has been measured relative to the second and third harmonic event planes in isobar Ru+Ru and Zr+Zr collisions at $\sqrt{s_{NN}}$ = 200 GeV. This is the first experimenta…
View article: Semi-supervised graph neural networks for pileup noise removal
Semi-supervised graph neural networks for pileup noise removal Open
View article: Differential measurements of jet substructure and partonic energy loss in Au <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mo>+</mml:mo></mml:math> Au collisions at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msqrt><mml:msub><mml:mi>s</mml:mi><mml:mrow><mml:mi>N</mml:mi><mml:mi>N</mml:mi></mml:mrow></mml:msub></mml:msqrt><mml:mo>=</mml:mo><mml:mn>200</mml:mn></mml:mrow></mml:math> GeV
Differential measurements of jet substructure and partonic energy loss in Au Au collisions at GeV Open
The STAR collaboration presents jet substructure measurements related to both the momentum fraction and the opening angle within jets in \\pp and \\AuAu collisions at \\sqrtsn =200 GeV. The substructure observables include SoftDrop groomed…