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Yu Gong

16 papers hereh-index 141.4k citations21 works total

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

author position
  • first author4
  • middle author11

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cs.IR9
  • cs.CL5
  • cs.AI1
  • cs.LG1
same name
  • Yu Gong — 8 papers, h 8
  • Yu Gong — 5 papers, h 5
  • Yu Gong — 4 papers, h 1
  • Yu Gong — 2 papers, h 17
  • Yu Gong — 2 papers, h 3
  • Yu Gong — 2 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
20172022
most citedIRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models

568 citations · 617 across the 16 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.IR2020★ 1 cited

Personalized Adaptive Meta Learning for Cold-start User Preference Prediction

Runsheng Yu, Yu Gong, Xu He +4

A common challenge in personalized user preference prediction is the cold-start problem. Due to the lack of user-item interactions, directly learning from the new users' log data c…

cs.AI2020

Distant Supervision for E-commerce Query Segmentation via Attention Network

Zhao Li, Donghui Ding, Pengcheng Zou +6

The booming online e-commerce platforms demand highly accurate approaches to segment queries that carry the product requirements of consumers. Recent works have shown that the supe…

cs.LG2020★ 1 cited

Balanced Order Batching with Task-Oriented Graph Clustering

Lu Duan, Haoyuan Hu, Zili Wu +4

Balanced order batching problem (BOBP) arises from the process of warehouse picking in Cainiao, the largest logistics platform in China. Batching orders together in the picking pro…

cs.IR2020★ 12 cited

EdgeRec: Recommender System on Edge in Mobile Taobao

Yu Gong, Ziwen Jiang, Yufei Feng +4

Recommender system (RS) has become a crucial module in most web-scale applications. Recently, most RSs are in the waterfall form based on the cloud-to-edge framework, where recomme…

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