Publications (8)
Muon Beam for Neutrino CP Violation: connecting energy and neutrino frontiers
Alim Ruzi, Tianyi Yang, Dawei Fu +3
We propose here a proposal to connect neutrino and energy frontiers, by exploiting collimated muon beams for neutrino oscillations, which generate symmetric neutrino and antineutri…
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…
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…
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…
New methods to achieve meson, muon and gamma light sources through asymmetric electron positron collisions
Dawei Fu, Alim Ruzi, Meng Lu +1
We propose methods to produce energetic meson beams such as charged and neutral Kaons, which are boosted to be collimated and with relatively long life time. The first type of meth…
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…
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…
Knowledge-enhanced Memory Model for Emotional Support Conversation
Mengzhao Jia, Qianglong Chen, Liqiang Jing +2
The prevalence of mental disorders has become a significant issue, leading to the increased focus on Emotional Support Conversation as an effective supplement for mental health sup…