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Wei Yuan

41 papers hereh-index 15965 citations55 works total

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

author position
  • first author12
  • middle author28

Across the 40 of 41 papers where every author was matched, so the position is known.

fields
  • cs.IR29
  • cs.CL4
  • cs.LG4
  • cs.CR2
  • cs.MM1
  • cs.SI1
same name
  • Wei Yuan — 15 papers, h 6
  • Wei Yuan — 13 papers, h 13
  • Wei Yuan — 13 papers, h 6
  • Wei Yuan — 4 papers, h 3
  • Wei Yuan — 4 papers, h 4
  • Wei Yuan — 4 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
20222026
most citedInteraction-level Membership Inference Attack Against Federated Recommender Systems

9 citations · 46 across the 37 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

QA-Merging: Query-Adaptive Reasoning via Layer Selective Model Merging

Zhaofeng Zhong, Wei Yuan, Tong Chen +4

Recent large reasoning models (LRMs) have achieved strong performance on complex reasoning tasks by generating a long chain-of-thought (Long-CoT). However, such lengthy reasoning i…

cs.CL2025

TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding

Xiaobo Xing, Wei Yuan, Tong Chen +3

Modeling semantic and structural information from tabular data remains a core challenge for effective table understanding. Existing Table-as-Text approaches flatten tables for larg…

cs.CL2024

ROIC-DM: Robust Text Inference and Classification via Diffusion Model

Shilong Yuan, Wei Yuan, Hongzhi Yin +1

While language models have made many milestones in text inference and classification tasks, they remain susceptible to adversarial attacks that can lead to unforeseen outcomes. Exi…

cs.CL2023★ 1 cited

KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment

Lingzhi Wang, Tong Chen, Wei Yuan +3

Recent legislation of the "right to be forgotten" has led to the interest in machine unlearning, where the learned models are endowed with the function to forget information about…

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