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N. Tang

11 papers hereh-index 457k citations132 works total

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

author position
  • first author2
  • middle author6
  • last author3

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.DB7
  • cs.CL1
  • cs.LG1
  • cs.PL1
  • cs.SI1
same name
  • N. Tang — 9 papers, h 9
  • N. Tang — 6 papers, h 4
  • N. Tang — 5 papers, h 3
  • N. Tang — 5 papers, h 5
  • N. Tang — 2 papers, h 33
  • N. Tang — 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
20152022
most citedDeepER -- Deep Entity Resolution

238 citations · 281 across the 10 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.DB2019★ 4 cited

Dataset-On-Demand: Automatic View Search and Presentation for Data Discovery

Raul Castro Fernandez, Nan Tang, Mourad Ouzzani +2

Many data problems are solved when the right view of a combination of datasets is identified. Finding such a view is challenging because of the many tables spread across many datab…

cs.SI2019★ 2 cited

Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries

Sibo Wang, Renchi Yang, Runhui Wang +5

Given a graph G, a source node s and a target node t, the personalized PageRank (PPR) of t with respect to s is the probability that a random walk starting from s termi…

cs.DB2019★ 1 cited

Technical Report: Optimizing Human Involvement for Entity Matching and Consolidation

Ji Sun, Dong Deng, Ihab Ilyas +5

An end-to-end data integration system requires human feedback in several phases, including collecting training data for entity matching, debugging the resulting clusters, confirmin…

cs.PL2019

Deductive Optimization of Relational Data Storage

John K. Feser, Samuel Madden, Nan Tang +1

Optimizing the physical data storage and retrieval of data are two key database management problems. In this paper, we propose a language that can express a wide range of physical…

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