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Sijia Liu

Mayo Clinic

34 papers hereh-index 294.2k citations125 works total

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

author position
  • first author2
  • middle author28
  • last author3

Across the 33 of 34 papers where every author was matched, so the position is known.

fields
  • cs.LG18
  • cs.CL6
  • cs.IR5
  • cs.CV4
  • physics.chem-ph1
affiliations
  • Mayo Clinic
Homepage
same name
  • Sijia Liu — 75 papers, h 40
  • Sijia Liu — 20 papers, h 16
  • Sijia Liu — 18 papers, h 14
  • Sijia Liu — 17 papers, h 10
  • Sijia Liu — 17 papers, h 5
  • Sijia Liu — 9 papers, h 3

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
20182023
most citedClinical Concept Extraction: a Methodology Review

186 citations · 412 across the 34 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023

Can Adversarial Examples Be Parsed to Reveal Victim Model Information?

Yuguang Yao, Jiancheng Liu, Yifan Gong +4

Numerous adversarial attack methods have been developed to generate imperceptible image perturbations that can cause erroneous predictions of state-of-the-art machine learning (ML)…

cs.CV2023★ 1 cited

Text-Visual Prompting for Efficient 2D Temporal Video Grounding

Yimeng Zhang, Xin Chen, Jinghan Jia +2

In this paper, we study the problem of temporal video grounding (TVG), which aims to predict the starting/ending time points of moments described by a text sentence within a long u…

cs.CV2022★ 3 cited

Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices

Yimeng Zhang, Akshay Karkal Kamath, Qiucheng Wu +6

In this paper, we propose a data-model-hardware tri-design framework for high-throughput, low-cost, and high-accuracy multi-object tracking (MOT) on High-Definition (HD) video stre…

cs.CV2022

Proactive Image Manipulation Detection

Vishal Asnani, Xi Yin, Tal Hassner +2

Image manipulation detection algorithms are often trained to discriminate between images manipulated with particular Generative Models (GMs) and genuine/real images, yet generalize…

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