activity
20162026
most citedExploring the Anomalous Top-Higgs FCNC Couplings at the electron proton colliders

16 citations · 46 across the 9 of their papers we have counts for

collaborators

9 papers

hep-ph2026

Searching for ALP Lepton Flavor Violation via ALP Decays at the LHC

Xiaochu Zheng, Ruitian Li, Jing Li +1

In the ALP model, lepton flavor violation (LFV) can arise from off-diagonal ALP-lepton couplings (), which are absent in the Standard Model. We focus on ALP prod…

cs.LG2025

Learnable cut flow for high energy physics

Jing Li, Hao Sun

Neural networks have emerged as a powerful paradigm for tasks in high energy physics, yet their opaque training process renders them as a black box. In contrast, the traditional cu…

hep-ph2024

HEP ML Lab: An end-to-end framework for applying machine learning into phenomenology studies

Jing Li, Hao Sun

Recent years have seen the development and growth of machine learning in high energy physics. There will be more effort to continue exploring its full potential. To make it easier…

hep-ph2023

Probing Heavy Neutrinos at the LHC from Fat-jet using Machine Learning

Wei Liu, Jing Li, Zixiang Chen +1

We explore the potential to use machine learning methods to search for heavy neutrinos, from their hadronic final states including a fat-jet signal, via the processes $pp \rightarr…

cs.LG2023

AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks

Hao Sun, Li Shen, Qihuang Zhong +6

Sharpness aware minimization (SAM) optimizer has been extensively explored as it can generalize better for training deep neural networks via introducing extra perturbation steps to…

hep-ph2022★ 15 cited

Testing the seesaw mechanisms via displaced right-handed neutrinos from a light scalar at the HL-LHC

Wei Liu, Jiale Li, Jing Li +1

We investigate the pair production of right-handed neutrinos from the decay of a light scalar in the model. The scalar mixes to the SM Higgs, and the physi…

hep-ph2020★ 7 cited

An Attention Based Neural Network for Jet Tagging

Jing Li, Hao Sun

Convolutional neural networks are basic structures using jet images as input for the jet tagging problems. However, what they have learned during the training process is always dif…

hep-ph2019★ 8 cited

Double spin asymmetry in dihadron production in SIDIS off the longitudinally polarized nucleon target

Xuan Luo, Hao Sun, Jing Li +2

In this paper we study the double longitudinal spin asymmetry of dihadron production in semi-inclusive deep inelastic scattering (SIDIS). We calculate a unknown twist-3 dihadron fr…

hep-ph2016★ 16 cited

Exploring the Anomalous Top-Higgs FCNC Couplings at the electron proton colliders

Hao Sun, Xuan Luo, Jing Li

We perform an updated analysis on the searches for the anomalous FCNC Yukawa interactions between the top quark, the Higgs boson, and either an up or charm quark ($\rm tqh,\ q=u,\…