Yongbin Feng

Yongbin Feng

冯永彬
Assistant Professor of Physics
Texas Tech University, Lubbock TX
yongbin.feng (at) ttu.edu

About

I am an assistant professor in the Department of Physics and Astronomy at Texas Tech University, working in experimental high energy physics (HEP-ex). My research spans electroweak measurements at the CMS experiment, advanced calorimeter R&D, machine learning in HEP, and searches for dark sector particles at fixed-target experiments.

More details can be found in my CV. Prospective graduate students and postdocs are warmly encouraged to reach out.

Research Interests

Within CMS
Precision Electroweak Measurements
W and Z cross sections, vector boson scatterings

Precision measurements of W and Z boson production cross sections at the LHC using the CMS detector. Recently I started to get involved in vector boson scatterings, with a focus on semileptonic channel, which has a good balance between signal statistics and background systematics. Hopefully there can be some results by the end of 2026.

Papers
SONIC — Services of Network Inferences on Coprocessors
ML inference acceleration using coprocessors (GPUs, FPGAs, etc) with inference-as-a-Service

SONIC is a framework (?) that offloads (machine learning) inference to coprocessors (GPUs, FPGAs) as a service, significantly improving throughput for HEP workflows while maintaining efficient and dynamic usage of resources.

Papers

Some tutorials I made for beginners when I was a postdoc: Tutorial ↗

HGCal Module Assembly & Performance Studies
CMS High Granularity Calorimeter upgrade

Work on the assembly and quality control of modules for the CMS High Granularity Calorimeter (HGCal) upgrade for the HL-LHC era.

Machine Learning in HEP
Pileup mitigation, MET regression, calorimeter reconstruction

Applying modern machine learning techniques to key HEP reconstruction tasks: pileup mitigation using graph neural networks (GraphPUPPI), deep learning-based missing transverse momentum regression (DeepMET), and calorimeter clustering and energy regression.

Papers
Outside CMS
Advanced Hadron Calorimeter R&D
Simulation, reconstruction, and ML for future calorimeters

R&D for next-generation (hadron) calorimeters, including dual-readout and imaging calorimeter concepts. Work encompasses Geant4-based simulation, signal reconstruction algorithms, and machine learning approaches for energy regression and particle identification. We have prototypes at TTU, so ideas can be tested directly, with cosmics and/or test beam.

DarkQuest
Fixed-target dark sector search at Fermilab

DarkQuest is a proton beam dump experiment at Fermilab's Main Injector, adding on top of the SeaQuest spectrometer to search for dark photons, and other light dark matter candidates produced in 120 GeV proton–target interactions. Contributions include electromagnetic calorimeter (EMCal) test and overall simulation and reconstruction studies.

Papers
Recruiting: Looking for undergraduate and graduate students and postdocs interested in CMS analyses, calorimeter R&D, ML-assisted reconstruction, heterogeneous computing, and/or dark sector searches. Please feel free to contact me.

Work Experience

2024 – present
Assistant Professor of Physics
Texas Tech University, Lubbock, Texas, USA
2020 – 2024
Postdoctoral Research Associate
Fermi National Accelerator Laboratory, Batavia, Illinois, USA

Education

2015 – 2020
Ph.D. in Physics
University of Maryland, College Park, Maryland, USA
2011 – 2015
B.S. in Physics
University of Science and Technology of China, Hefei, Anhui, China

Random

Paper Collection
Personal reading list — calorimetry, detector R&D, and HEP topics

A collection of papers I find interesting and want to keep handy for future reference, with quick notes on each. Topics span detectors (dual-readout calorimetry, particle flow, LGADs etc) and physics analyses (polarization, gauge boson interactions, etc). Updates occasionally.

CaloX Data Analysis
Test beam data quality monitoring and analysis plots

Data quality monitoring and analysis plots for our prototype calorimeter test beam program. Includes channel maps, energy spectra, shower shapes, timing information, and beam composition across multiple runs. Built to quickly browse and share results for (semi-)live analyses.

History of Particle Physics (from Gemini)
Master index of HEP topics — experiments, theory, and technical references

This is more like a test of Gemini: A structured reference index covering high-energy physics experiments, theoretical concepts, and technical topics, fully produced by Gemini. Useful as a quick lookup or orientation guide across the broad landscape of particle physics.