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Ming‐Zher Poh

3 papers here

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

author position
  • first author1
  • middle author2

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

fields
  • cs.CL1
  • cs.CV1
  • cs.LG1
ORCID 0000-0002-3510-1923

identity via Semantic Scholar / OpenAlex

most citedLarge Language Models are Few-Shot Health Learners

36 citations · 37 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2025

A High-Throughput Platform to Bench Test Smartphone-Based Heart Rate Measurements Derived From Video

Ming-Zher Poh, Jonathan Wang, Jonathan Hsu +6

Smartphone-based heart rate (HR) monitoring apps using finger-over-camera photoplethysmography (PPG) face significant challenges in performance evaluation and device compatibility…

cs.LG2025★ 1 cited

LSM-2: Learning from Incomplete Wearable Sensor Data

Maxwell A. Xu, Girish Narayanswamy, Kumar Ayush +22

Foundation models, a cornerstone of recent advancements in machine learning, have predominantly thrived on complete and well-structured data. Wearable sensor data frequently suffer…

cs.CL2023★ 36 cited

Large Language Models are Few-Shot Health Learners

Xin Liu, Daniel McDuff, Geza Kovacs +7

Large language models (LLMs) can capture rich representations of concepts that are useful for real-world tasks. However, language alone is limited. While existing LLMs excel at tex…

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