◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Sen Yan

4 papers hereh-index 327 citations5 works total

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

author position
  • first author2
  • middle author1
  • last author1

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

fields
  • cs.LG1
  • eess.IV1
  • physics.ins-det1
  • q-bio.QM1
same name
  • Sen Yan — 8 papers, h 5
  • Sen Yan — 3 papers, h 2
  • Sen Yan — 1 paper, h 2
  • Sen Yan — 1 paper
  • Sen Yan — 1 paper, h 12
  • Sen Yan — 1 paper, h 2

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 citedDiffNMR: Advancing Inpainting of Randomly Sampled Nuclear Magnetic Resonance Signals

2 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2025★ 2 cited

DiffNMR: Advancing Inpainting of Randomly Sampled Nuclear Magnetic Resonance Signals

Sen Yan, Fabrizio Gabellieri, Etienne Goffinet +2

Nuclear Magnetic Resonance (NMR) spectroscopy leverages nuclear magnetization to probe molecules' chemical environment, structure, and dynamics, with applications spanning from pha…

physics.ins-det2025

DiffNMR3: Advancing NMR Resolution Beyond Instrumental Limits

Sen Yan, Etienne Goffinet, Fabrizio Gabellieri +5

Nuclear Magnetic Resonance (NMR) spectroscopy is a crucial analytical technique used for molecular structure elucidation, with applications spanning chemistry, biology, materials s…

q-bio.QM2025

DiffNMR2: NMR Guided Sampling Acquisition Through Diffusion Model Uncertainty

Etienne Goffinet, Sen Yan, Fabrizio Gabellieri +7

Nuclear Magnetic Resonance (NMR) spectrometry uses electro-frequency pulses to probe the resonance of a compound's nucleus, which is then analyzed to determine its structure. The a…

cs.LG2021

Isotonic Data Augmentation for Knowledge Distillation

Wanyun Cui, Sen Yan

Knowledge distillation uses both real hard labels and soft labels predicted by teacher models as supervision. Intuitively, we expect the soft labels and hard labels to be concordan…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.