Qiang Li

activity

20242026

most citedAccelerating Resonance Searches via Signature-Oriented Pre-training

1 citations · 1 across the 6 of their papers we have counts for

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hep-ph2026

"Hadron-in-fat-jet'' AI Tagging to Detect Rare Decays Such as $W^{\pm} \to π^{\pm} γ$

Linrui Chen, Tianyi Yang, Zixun Kou +4

We investigate a novel class of boosted-object signatures at the LHC, where a high- $p_{T}$ fat-jet contains an identifiable hadron or quarkonium state originating from rare…

hep-ph2025

Novel $∣ V_{c b} ∣$ extraction method via boosted $b c$ -tagging with in-situ calibration

Yuzhe Zhao, Congqiao Li, Antonios Agapitos +4

We present a novel method for measuring $∣ V_{c b} ∣$ at the LHC using an advanced boosted-jet tagger to identify " $b c$ signatures". By associating boosted $W \to b c$ signals…

hep-ph2024★ 1 cited

Accelerating Resonance Searches via Signature-Oriented Pre-training

Congqiao Li, Antonios Agapitos, Jovin Drews +9

The search for heavy resonances beyond the Standard Model (BSM) is a key objective at the LHC. While the recent use of advanced deep neural networks for boosted-jet tagging signifi…

"Hadron-in-fat-jet'' AI Tagging to Detect Rare Decays Such as W±→π±γ

Novel ∣Vcb​∣ extraction method via boosted bc-tagging with in-situ calibration

Accelerating Resonance Searches via Signature-Oriented Pre-training

"Hadron-in-fat-jet'' AI Tagging to Detect Rare Decays Such as $W^{\pm} \to π^{\pm} γ$

Novel $∣ V_{c b} ∣$ extraction method via boosted $b c$ -tagging with in-situ calibration