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Xiang Ao

17 papers hereh-index 273.1k citations64 works total

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

author position
  • first author1
  • middle author13

Across the 14 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CL9
  • cs.LG4
  • cs.DB2
  • cs.IR1
  • math.OC1
same name
  • Xiang Ao — 35 papers, h 19
  • Xiang Ao — 2 papers, h 35
  • Xiang Ao — 1 paper
  • Xiang Ao — 1 paper

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
20182021
most citedWarm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings

29 citations · 120 across the 16 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CL2018

Hierarchical Neural Network for Extracting Knowledgeable Snippets and Documents

Ganbin Zhou, Rongyu Cao, Xiang Ao +4

In this study, we focus on extracting knowledgeable snippets and annotating knowledgeable documents from Web corpus, consisting of the documents from social media and We-media. Inf…

cs.DB2018★ 1 cited

Free-rider Episode Screening via Dual Partition Model

Xiang Ao, Yang Liu, Zhen Huang +2

One of the drawbacks of frequent episode mining is that overwhelmingly many of the discovered patterns are redundant. Free-rider episode, as a typical example, consists of a real p…

cs.IR2018★ 6 cited

Cross-domain novelty seeking trait mining for sequential recommendation

Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang +3

Transfer learning has attracted a large amount of interest and research in last decades, and some efforts have been made to build more precise recommendation systems. Most previous…

cs.DB2018★ 2 cited

An Efficient Density-based Clustering Algorithm for Higher-Dimensional Data

Thapana Boonchoo, Xiang Ao, Qing He

DBSCAN is a typically used clustering algorithm due to its clustering ability for arbitrarily-shaped clusters and its robustness to outliers. Generally, the complexity of DBSCAN is…

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