activity
20242026
most citedAccelerating Resonance Searches via Signature-Oriented Pre-training

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

PosterHarness: Turning Scientific Poster Generation into an Auditable Instruction-Following Benchmark

Tianyi Yang, Dawei Fu, Youpeng Wu +5

Text-rich image models can now design poster-scale layouts, but we lack ways to measure whether they honor scientific communication contracts: legible labels, prescribed aspect rat…

physics.ins-det2026

A Reproducible Benchmark and Evidence-Retrieval Software Framework for Silicon Detector R&D Literature

Tianqi Gao, Ruobing Jiang, Dawei Fu +2

Silicon pixel detector R&D depends on a large and rapidly growing technical literature, including beam-test and irradiation studies, performance measurements, simulation, and desig…

hep-ex2026

Agentic Hybrid RAG for Evidence-Grounded Muon Collider Analysis

Ruobing Jiang, Dawei Fu, Cheng Jiang +6

Muon collider research spans accelerator physics, detector instrumentation, and high-energy phenomenology, with relevant evidence scattered across a rapidly expanding and heterogen…

hep-ph2025

Novel extraction method via boosted -tagging with in-situ calibration

Yuzhe Zhao, Congqiao Li, Antonios Agapitos +4

We present a novel method for measuring at the LHC using an advanced boosted-jet tagger to identify " signatures". By associating boosted 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…