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researcher

H. Lv

4 papers hereh-index 5109 citations25 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • astro-ph.HE2
  • cs.CL2
same name
  • H. Lv — 26 papers, h 9
  • H. Lv — 4 papers, h 14
  • H. Lv — 2 papers, h 2
  • H. Lv — 1 paper, h 5
  • H. Lv — 1 paper, h 2
  • H. Lv — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

astro-ph.HE2026

Anisotropic Particle Transport from a Pulsar Wind Nebula Revealed by Einstein Probe and LHAASO

Zhen Cao, F. Aharonian, Y. X. Bai +339

Pulsar wind nebulae (PWNe) are major cosmic ray accelerators, yet the mechanisms transporting high-energy particles into the interstellar medium remain elusive. Building on the LHA…

cs.CL2026

EviCare: Enhancing Diagnosis Prediction with Deep Model-Guided Evidence for In-Context Reasoning

Hengyu Zhang, Xuyun Zhang, Pengxiang Zhan +5

Recent advances in large language models (LLMs) have enabled promising progress in diagnosis prediction from electronic health records (EHRs). However, existing LLM-based approache…

astro-ph.HE2026

An extreme particle accelerator powered by pulsar PSR J1849-0001

The LHAASO Collaboration

Pulsar wind nebulae (PWNe) are bubbles of relativistic particles, powered by the rotational energy loss of the central pulsars. The Crab Nebula, powered by the Milky Way's most ene…

cs.CL2025

Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining

Yanchao Tan, Hang Lv, Pengxiang Zhan +2

Graphs with abundant attributes are essential in modeling interconnected entities and enhancing predictions across various real-world applications. Traditional Graph Neural Network…

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