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Jinjiang Guo

Global Health Drug Discovery Institute

4 papers hereh-index 4122 citations10 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.IR1
  • cs.LG1
affiliations
  • Global Health Drug Discovery Institute
same name
  • Jinjiang Guo — 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

most citedSubjective and Objective Visual Quality Assessment of Textured 3D Meshes

54 citations · 57 across the 3 of their papers we have counts for

collaborators

4 papers

cs.IR2021

Real-time tracking of COVID-19 and coronavirus research updates through text mining

Yutong Jin, Jie Li, Xinyu Wang +5

The novel coronavirus (SARS-CoV-2) which causes COVID-19 is an ongoing pandemic. There are ongoing studies with up to hundreds of publications uploaded to databases daily. We are e…

cs.LG2021★ 3 cited

Enhance Information Propagation for Graph Neural Network by Heterogeneous Aggregations

Dawei Leng, Jinjiang Guo, Lurong Pan +2

Graph neural networks are emerging as continuation of deep learning success w.r.t. graph data. Tens of different graph neural network variants have been proposed, most following a…

cs.CV2021★ 54 cited

Subjective and Objective Visual Quality Assessment of Textured 3D Meshes

Jinjiang Guo, Vincent Vidal, Irene Cheng +3

Objective visual quality assessment of 3D models is a fundamental issue in computer graphics. Quality assessment metrics may allow a wide range of processes to be guided and evalua…

cs.CV2018

Locally Adaptive Learning Loss for Semantic Image Segmentation

Jinjiang Guo, Pengyuan Ren, Aiguo Gu +2

We propose a novel locally adaptive learning estimator for enhancing the inter- and intra- discriminative capabilities of Deep Neural Networks, which can be used as improved loss l…

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