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Jian Pei

4 papers here

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

author position
  • middle author1
  • last author2

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

fields
  • cs.AI1
  • cs.CV1
  • cs.IR1
  • cs.SI1
ORCID 0000-0002-2200-8711
same name
  • Jian Pei — 12 papers, h 10
  • Jian Pei — 9 papers, h 5
  • Jian Pei — 8 papers, h 10
  • Jian Pei — 6 papers, h 2
  • Jian Pei — 4 papers, h 8
  • Jian Pei — 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
20152025
most citedMultiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2025

Autonomous Data Agents: A New Opportunity for Smart Data

Yanjie Fu, Dongjie Wang, Wangyang Ying +4

As data continues to grow in scale and complexity, preparing, transforming, and analyzing it remains labor-intensive, repetitive, and difficult to scale. Since data contains knowle…

cs.CV2024

Clustering-friendly Representation Learning for Enhancing Salient Features

Toshiyuki Oshima, Kentaro Takagi, Kouta Nakata

Recently, representation learning with contrastive learning algorithms has been successfully applied to challenging unlabeled datasets. However, these methods are unable to disting…

cs.IR2021★ 1 cited

Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation

Yiming Zhang, Lingfei Wu, Qi Shen +5

Conversational recommendation system (CRS) is able to obtain fine-grained and dynamic user preferences based on interactive dialogue. Previous CRS assumes that the user has a clear…

cs.SI2015

When Social Influence Meets Item Inference

Hui-Ju Hung, Hong-Han Shuai, De-Nian Yang +4

Research issues and data mining techniques for product recommendation and viral marketing have been widely studied. Existing works on seed selection in social networks do not take…

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