◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Wei Yuan

44 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 author14
  • middle author29

Across the 43 of 44 papers where every author was matched, so the position is known.

fields
  • cs.IR30
  • cs.CL5
  • cs.LG4
  • cs.CR2
  • cs.MM1
  • cs.SE1
same name
  • Wei Yuan — 30 papers, h 13
  • Wei Yuan — 15 papers, h 6
  • Wei Yuan — 14 papers, h 6
  • Wei Yuan — 4 papers, h 18
  • Wei Yuan — 4 papers, h 3
  • Wei Yuan — 4 papers, h 4

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 citedUnified Question Generation with Continual Lifelong Learning

10 citations · 63 across the 40 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.IR2022★ 1 cited

Federated Unlearning for On-Device Recommendation

Wei Yuan, Hongzhi Yin, Fangzhao Wu +3

The increasing data privacy concerns in recommendation systems have made federated recommendations (FedRecs) attract more and more attention. Existing FedRecs mainly focus on how t…

cs.IR2022★ 7 cited

Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks

Shijie Zhang, Wei Yuan, Hongzhi Yin

In recent years, recommender systems are crucially important for the delivery of personalized services that satisfy users' preferences. With personalized recommendation services, u…

cs.SE2022

CIRCLE: Continual Repair across Programming Languages

Wei Yuan, Quanjun Zhang, Tieke He +4

Automatic Program Repair (APR) aims at fixing buggy source code with less manual debugging efforts, which plays a vital role in improving software reliability and development produ…

cs.CL2022★ 10 cited

Unified Question Generation with Continual Lifelong Learning

Wei Yuan, Hongzhi Yin, Tieke He +3

Question Generation (QG), as a challenging Natural Language Processing task, aims at generating questions based on given answers and context. Existing QG methods mainly focus on bu…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.