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Jie Gao

4 papers here

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.HC1
  • cs.LG1
  • cs.SD1
  • stat.ME1
ORCID 0000-0001-9501-7603
same name
  • Jie Gao — 15 papers, h 24
  • Jie Gao — 8 papers, h 40
  • Jie Gao — 6 papers, h 36
  • Jie Gao — 6 papers, h 8
  • Jie Gao — 5 papers, h 16
  • Jie Gao — 5 papers, h 6

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 citedTCR: A Transformer Based Deep Network for Predicting Cancer Drugs Response

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ME2023

Efficient Change Point Detection and Estimation in High-Dimensional Correlation Matrices

Zhaoyuan Li, Jie Gao

This paper considers the problems of detecting a change point and estimating the location in the correlation matrices of a sequence of high-dimensional vectors, where the dimension…

cs.HC2023★ 1 cited

Impact of Human-AI Interaction on User Trust and Reliance in AI-Assisted Qualitative Coding

Jie Gao, Junming Cao, ShunYi Yeo +5

While AI shows promise for enhancing the efficiency of qualitative analysis, the unique human-AI interaction resulting from varied coding strategies makes it challenging to develop…

cs.SD2023

Two-Stream Joint-Training for Speaker Independent Acoustic-to-Articulatory Inversion

Jianrong Wang, Jinyu Liu, Li Liu +4

Acoustic-to-articulatory inversion (AAI) aims to estimate the parameters of articulators from speech audio. There are two common challenges in AAI, which are the limited data and t…

cs.LG2022★ 2 cited

TCR: A Transformer Based Deep Network for Predicting Cancer Drugs Response

Jie Gao, Jing Hu, Wanqing Sun +5

Predicting clinical outcomes to anti-cancer drugs on a personalized basis is challenging in cancer treatment due to the heterogeneity of tumors. Traditional computational efforts h…

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