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Jianwei Zhang

10 papers hereh-index 125.9k citations15 works total

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

author position
  • middle author9

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

fields
  • cs.IR4
  • cs.CL3
  • cs.LG2
  • cs.SI1
same name
  • Jianwei Zhang — 15 papers, h 6
  • Jianwei Zhang — 8 papers, h 6
  • Jianwei Zhang — 8 papers, h 9
  • Jianwei Zhang — 8 papers, h 20
  • Jianwei Zhang — 8 papers, h 43
  • Jianwei Zhang — 8 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
20192023
most citedRepresentation Learning for Attributed Multiplex Heterogeneous Network

479 citations · 678 across the 10 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.LG2021★ 1 cited

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI

Jiangchao Yao, Shengyu Zhang, Yang Yao +15

Influenced by the great success of deep learning via cloud computing and the rapid development of edge chips, research in artificial intelligence (AI) has shifted to both of the co…

cs.CL2021★ 48 cited

M6: A Chinese Multimodal Pretrainer

Junyang Lin, Rui Men, An Yang +22

In this work, we construct the largest dataset for multimodal pretraining in Chinese, which consists of over 1.9TB images and 292GB texts that cover a wide range of domains. We pro…

cs.IR2021★ 7 cited

Dynamic Memory based Attention Network for Sequential Recommendation

Qiaoyu Tan, Jianwei Zhang, Ninghao Liu +4

Sequential recommendation has become increasingly essential in various online services. It aims to model the dynamic preferences of users from their historical interactions and pre…

cs.IR2021

Sparse-Interest Network for Sequential Recommendation

Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao +4

Recent methods in sequential recommendation focus on learning an overall embedding vector from a user's behavior sequence for the next-item recommendation. However, from empirical…

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