23 citations · 66 across the 13 of their papers we have counts for
13 papers
Neural Network Backflow with Low-Rank Multi-Determinant Updates
Tianshu Huang, Xiaowei Ou, Vidvuds Ozolins
Simulating strongly correlated fermions remains a long-standing challenge due to the exponential complexity of the Hilbert space and the intricate sign structure of many-body wavef…
Assessing Parameter Redundancy in Transformers for Jet Tagging
Huitong Cheng, Yabo Dong, Jun Fan +4
Transformer-based jet taggers, such as the Particle Transformer (ParT) and the More-Interaction Particle Transformer (MIParT), achieve excellent discrimination by exploiting correl…
Particle-level transformers for 95 GeV Higgs boson searches at future Higgs factories
Yabo Dong, Manqi Ruan, Kun Wang +2
Motivated by several mild excesses around 95~GeV, we investigate the prospects for a light scalar produced via Higgsstrahlung, , at future Higgs…
Testing a 95 GeV Scalar at the CEPC with Machine Learning
Yabo Dong, Manqi Ruan, Kun Wang +2
Several possible excesses around 95 GeV hint at an additional light scalar beyond the Standard Model. We examine the capability of the CEPC to test this hypothesis in the Higgsstra…
The LHC sensitivity to weak gauginos in light of the latest muon and dark matter results
Shuang Liang, Kun Wang, Jun Zhao +1
Among the electroweakinos, the weak gauginos have the largest production rate at the LHC and should therefore be the primary focus of searches. In this work, we examine the LHC sen…
Revisiting CMSSM with Non-Universal Gaugino Masses under Current Constraints
Yabo Dong, Kun Wang, Hailong Yuan +2
To address the longstanding tension between the Constrained Minimal Supersymmetric Standard Model (CMSSM) and recent experimental data, we investigate non-universal gaugino masses…
Probing Type-I 2HDM light Higgs in the top-pair-associated diphoton channel
Yabo Dong, Kun Wang, Jingya Zhu
Motivated by the possible 95 GeV diphoton excess, we investigate the capability of the Type-I Two-Higgs-Doublet Model (2HDM-I) to explain this signal under current theoretical and…
Jet Tagging with More-Interaction Particle Transformer
Yifan Wu, Kun Wang, Congqiao Li +2
In this study, we introduce the More-Interaction Particle Transformer (MIParT), a novel deep learning neural network designed for jet tagging. This framework incorporates our own d…
Investigating higgsino dark matter in the semi-constrained NMSSM
Kun Wang, Jingya Zhu
In this study, we explore the characteristics of higgsino-dominated dark matter (DM) within the semi-constrained Next-to-Minimal Supersymmetric Standard Model (scNMSSM), covering a…
95 GeV light Higgs in the top-pair-associated diphoton channel at the LHC in the minimal dilaton model
Kun Wang, Jingya Zhu
Motivated by experimental hints and theoretical frameworks indicating the existence of an extended Higgs sector, we explore the feasibility of detecting a 95 GeV light Higgs boson…
Light dark matter confronted with the 95 GeV diphoton excess
Weichao Li, Haoxue Qiao, Kun Wang +1
The correlation between Higgs-like scalars and light dark matter is an interesting topic, especially now that a Higgs was discovered and dark matter (DM) searches got neg…
Smuon contribution to muon g-2 in Grand Unified supersymmetric theories
Weichao Li, Haoxue Qiao, Kun Wang +1
In GUT-scale constrained (GUTc) supersymmetric (SUSY) models, the mass of smuon is typically heavier than that of stau , and stau co-annihilation is a typica…
A Light Scalar in the Minimal Dilaton Model in Light of LHC Constraints
Lijia Liu, Haoxue Qiao, Kun Wang +1
Whether an additional light scalar exists is an interesting topic beyond the Standard Model (SM), while nowadays we do not know exactly physics beyond the SM in the low mass region…