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Yushun Dong

38 papers hereh-index 201.6k citations57 works total

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

author position
  • first author11
  • middle author25
  • last author1

Across the 37 of 38 papers where every author was matched, so the position is known.

fields
  • cs.LG27
  • cs.CL5
  • cs.AI3
  • cs.IR2
  • cs.SI1
same name
  • Yushun Dong — 42 papers, h 8
  • Yushun Dong — 7 papers, h 2

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
20212026
most citedEDITS: Modeling and Mitigating Data Bias for Graph Neural Networks

128 citations · 350 across the 37 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.AI2026

AdaST: Adaptive Coupling for Spatial-Temporal Forecasting

Zhenyu Lei, Chenghao Liu, Yushun Dong +2

Spatial-temporal (ST) forecasting underpins many real-world systems such as traffic, climate, and energy networks. While existing methods implicitly assume strong spatiotemporal co…

cs.SI2026

Adverse Online Social Interactions: A Multi-Level Evolutionary Analysis of Local Patterns, Diffusion, and Community Disruption

Xueqi Cheng, Qinwen Ge, Hamid Karimi +2

Adverse social interactions (ASIs) can shape how online communities evolve over the time. However, structural-based ASIs and content-based ASIs are often studied separately and at…

cs.LG2026

Can Subgraph Explanations Be Weaponized to Steal Graph Neural Networks?

Ojas Nimase, Jiate Li, Yue Zhao +1

Graph Machine Learning as a Service (GMLaaS) platforms increasingly implement explainability interfaces to meet regulatory transparency requirements. However, this transparency cre…

cs.CL2026

Reforming the Mechanism: Editing Reasoning Patterns in LLMs with Circuit Reshaping

Zhenyu Lei, Qiong Wu, Jianxiong Dong +4

Large language models (LLMs) often exhibit flawed reasoning ability that undermines reliability. Existing approaches to improving reasoning typically treat it as a general and mono…

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