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Jiaxin Xu

10 papers hereh-index 8378 citations17 works total

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

author position
  • first author2
  • middle author7

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci5
  • cs.LG4
  • physics.chem-ph1
same name
  • Jiaxin Xu — 8 papers, h 4
  • Jiaxin Xu — 5 papers, h 2
  • Jiaxin Xu — 3 papers, h 1
  • Jiaxin Xu — 2 papers, h 3
  • Jiaxin Xu — 2 papers, h 2
  • Jiaxin Xu — 1 paper, h 8

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
20202026
most citedGraph Rationalization with Environment-based Augmentations

83 citations · 119 across the 10 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2025★ 4 cited

Open Polymer Challenge: Post-Competition Report

Gang Liu, Sobin Alosious, Subhamoy Mahajan +9

Machine learning (ML) offers a powerful path toward discovering sustainable polymer materials, but progress has been limited by the lack of large, high-quality, and openly accessib…

cs.LG2024★ 5 cited

Graph Diffusion Transformers for Multi-Conditional Molecular Generation

Gang Liu, Jiaxin Xu, Tengfei Luo +1

Inverse molecular design with diffusion models holds great potential for advancements in material and drug discovery. Despite success in unconditional molecular generation, integra…

cs.LG2023★ 6 cited

Data-Centric Learning from Unlabeled Graphs with Diffusion Model

Gang Liu, Eric Inae, Tong Zhao +3

Graph property prediction tasks are important and numerous. While each task offers a small size of labeled examples, unlabeled graphs have been collected from various sources and a…

cs.LG2022★ 83 cited

Graph Rationalization with Environment-based Augmentations

Gang Liu, Tong Zhao, Jiaxin Xu +2

Rationale is defined as a subset of input features that best explains or supports the prediction by machine learning models. Rationale identification has improved the generalizabil…

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