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researcher

Xiaoqian Jiang

4 papers hereh-index 8404 citations16 works total

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

author position
  • middle author4

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

fields
  • cs.LG2
  • cs.CR1
  • eess.IV1
same name
  • Xiaoqian Jiang — 14 papers, h 23
  • Xiaoqian Jiang — 10 papers, h 47
  • Xiaoqian Jiang — 6 papers, h 2
  • Xiaoqian Jiang — 6 papers, h 9
  • Xiaoqian Jiang — 5 papers, h 3
  • Xiaoqian Jiang — 4 papers, h 4

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 citedSecure Human Action Recognition by Encrypted Neural Network Inference

51 citations · 53 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2023

Dental CLAIRES: Contrastive LAnguage Image REtrieval Search for Dental Research

Tanjida Kabir, Luyao Chen, Muhammad F Walji +3

Learning about diagnostic features and related clinical information from dental radiographs is important for dental research. However, the lack of expert-annotated data and conveni…

cs.LG2023★ 2 cited

Predicting multiple sclerosis disease severity with multimodal deep neural networks

Kai Zhang, John A. Lincoln, Xiaoqian Jiang +2

Multiple Sclerosis (MS) is a chronic disease developed in human brain and spinal cord, which can cause permanent damage or deterioration of the nerves. The severity of MS disease i…

eess.IV2021

Use of the Deep Learning Approach to Measure Alveolar Bone Level

Chun-Teh Lee, Tanjida Kabir, Jiman Nelson +6

Abstract: Aim: The goal was to use a Deep Convolutional Neural Network to measure the radiographic alveolar bone level to aid periodontal diagnosis. Material and methods: A Deep Le…

cs.CR2021★ 51 cited

Secure Human Action Recognition by Encrypted Neural Network Inference

Miran Kim, Xiaoqian Jiang, Kristin Lauter +2

Advanced computer vision technology can provide near real-time home monitoring to support "aging in place" by detecting falls and symptoms related to seizures and stroke. Affordabl…

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