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Haonan Wang

3 papers here

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cond-mat.supr-con1
  • cs.CV1
  • cs.LG1
ORCID 0000-0003-1587-8628
same name
  • Haonan Wang — 13 papers
  • Haonan Wang — 4 papers
  • Haonan Wang — 4 papers
  • Haonan Wang — 3 papers
  • Haonan Wang — 3 papers
  • Haonan Wang — 3 papers

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

most citedTouchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cond-mat.supr-con2025

Sliding two-dimensional superconductivity and charge-density-wave state in a bulk crystal

Xiangqi Liu, Chen Xu, Jing Jiang +26

Superconductivity in the two-dimensional (2D) limit is a fertile ground for exotic quantum phenomena-many of which remain elusive in their 3D counterparts. While studies of 2D supe…

cs.LG2025

Reinforcing General Reasoning without Verifiers

Xiangxin Zhou, Zichen Liu, Anya Sims +6

The recent paradigm shift towards training large language models (LLMs) using DeepSeek-R1-Zero-style reinforcement learning (RL) on verifiable rewards has led to impressive advance…

cs.CV2024★ 2 cited

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang +50

How can we test AI performance? This question seems trivial, but it isn't. Standard benchmarks often have problems such as in-distribution and small-size test sets, oversimplified…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.