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Yunxiang Zhang

4 papers here

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

author position
  • first author3
  • middle author1

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

fields
  • cs.CL2
  • cs.HC1
  • stat.ML1
ORCID 0000-0003-0189-1776
same name
  • Yunxiang Zhang — 5 papers, h 3
  • Yunxiang Zhang — 2 papers
  • Yunxiang Zhang — 1 paper
  • Yunxiang Zhang — 1 paper, h 6
  • Yunxiang Zhang — 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 citedToward Optimized VR/AR Ergonomics: Modeling and Predicting User Neck Muscle Contraction

14 citations · 17 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2023

Merging Generated and Retrieved Knowledge for Open-Domain QA

Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran +3

Open-domain question answering (QA) systems are often built with retrieval modules. However, retrieving passages from a given source is known to suffer from insufficient knowledge…

cs.CL2023

Investigating Zero- and Few-shot Generalization in Fact Verification

Liangming Pan, Yunxiang Zhang, Min-Yen Kan

In this paper, we explore zero- and few-shot generalization for fact verification (FV), which aims to generalize the FV model trained on well-resourced domains (e.g., Wikipedia) to…

cs.HC2023★ 14 cited

Toward Optimized VR/AR Ergonomics: Modeling and Predicting User Neck Muscle Contraction

Yunxiang Zhang, Kenneth Chen, Qi Sun

Ergonomic efficiency is essential to the mass and prolonged adoption of VR/AR experiences. While VR/AR head-mounted displays unlock users' natural wide-range head movements during…

stat.ML2021★ 3 cited

Two-step Lookahead Bayesian Optimization with Inequality Constraints

Yunxiang Zhang, Xiangyu Zhang, Peter I. Frazier

Recent advances in computationally efficient non-myopic Bayesian optimization (BO) improve query efficiency over traditional myopic methods like expected improvement while only mod…

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