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Zhen He

7 papers hereh-index 7232 citations10 works total

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

author position
  • middle author6

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.IR2
  • cs.AI1
  • cs.CV1
same name
  • Zhen He — 11 papers, h 12
  • Zhen He — 11 papers, h 5
  • Zhen He — 10 papers, h 2
  • Zhen He — 7 papers, h 17
  • Zhen He — 2 papers, h 2
  • Zhen He — 2 papers, h 1

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
20162022
most citedDataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question Answering

68 citations · 97 across the 7 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.IR2021

Intelligent Online Selling Point Extraction for E-Commerce Recommendation

Xiaojie Guo, Shugen Wang, Hanqing Zhao +8

In the past decade, automatic product description generation for e-commerce have witnessed significant advancement. As the services provided by e-commerce platforms become diverse,…

cs.CL2021★ 1 cited

Automatic Product Copywriting for E-Commerce

Xueying Zhang, Yanyan Zou, Hainan Zhang +10

Product copywriting is a critical component of e-commerce recommendation platforms. It aims to attract users' interest and improve user experience by highlighting product character…

cs.IR2021★ 1 cited

Improving Sequential Recommendation Consistency with Self-Supervised Imitation

Xu Yuan, Hongshen Chen, Yonghao Song +4

Most sequential recommendation models capture the features of consecutive items in a user-item interaction history. Though effective, their representation expressiveness is still h…

cs.CL2021★ 19 cited

A comprehensive solution to retrieval-based chatbot construction

Kristen Moore, Shenjun Zhong, Zhen He +4

In this paper we present the results of our experiments in training and deploying a self-supervised retrieval-based chatbot trained with contrastive learning for assisting customer…

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