◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Ni Zhao

3 papers here

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

author position
  • middle author1
  • last author1

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

fields
  • cs.CV2
  • eess.SP1
same name
  • Ni Zhao — 2 papers
  • Ni Zhao — 1 paper
  • Ni Zhao — 1 paper

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

activity
20192021
most citedGradient Regularized Contrastive Learning for Continual Domain Adaptation

9 citations · 10 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2021★ 9 cited

Gradient Regularized Contrastive Learning for Continual Domain Adaptation

Shixiang Tang, Peng Su, Dapeng Chen +1

Human beings can quickly adapt to environmental changes by leveraging learning experience. However, adapting deep neural networks to dynamic environments by machine learning algori…

cs.CV2020★ 1 cited

Gradient Regularized Contrastive Learning for Continual Domain Adaptation

Peng Su, Shixiang Tang, Peng Gao +3

Human beings can quickly adapt to environmental changes by leveraging learning experience. However, the poor ability of adapting to dynamic environments remains a major challenge f…

eess.SP2019

Feature Exploration for Knowledge-guided and Data-driven Approach Based Cuffless Blood Pressure Measurement

Xiaorong Ding, Bryan P Yan, Yuan-Ting Zhang +3

This study explores extended feature space that is indicative of blood pressure (BP) changes for better estimation of continuous BP in an unobtrusive way. A total of 222 features w…

◍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.