◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

H. Ngo

29 papers hereh-index 344.1k citations134 works total

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

author position
  • sole author1
  • first author3
  • middle author24

Across the 28 of 29 papers where every author was matched, so the position is known.

fields
  • cs.DB20
  • cs.IT2
  • stat.ML2
  • cs.DM1
  • cs.DS1
  • cs.IR1
same name
  • H. Ngo — 142 papers, h 50
  • H. Ngo — 40 papers, h 24
  • H. Ngo — 16 papers, h 10
  • H. Ngo — 4 papers, h 4
  • H. Ngo — 3 papers, h 5
  • H. Ngo — 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
20122022
most citedGlobal Health Monitor: A Web-based System for Detecting and Mapping Infectious Diseases

35 citations · 151 across the 21 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.DB2018

Functional Aggregate Queries with Additive Inequalities

Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley +4

Motivated by fundamental applications in databases and relational machine learning, we formulate and study the problem of answering functional aggregate queries (FAQ) in which some…

cs.DB2018

Counting Triangles under Updates in Worst-Case Optimal Time

Ahmet Kara, Hung Q. Ngo, Milos Nikolic +2

We consider the problem of incrementally maintaining the triangle count query under single-tuple updates to the input relations. We introduce an approach that exhibits a space-time…

cs.DB2018★ 10 cited

Worst-Case Optimal Join Algorithms: Techniques, Results, and Open Problems

Hung Q. Ngo

Worst-case optimal join algorithms are the class of join algorithms whose runtime match the worst-case output size of a given join query. While the first provably worst-case optima…

cs.DB2018★ 10 cited

AC/DC: In-Database Learning Thunderstruck

Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen +2

We report on the design and implementation of the AC/DC gradient descent solver for a class of optimization problems over normalized databases. AC/DC decomposes an optimization pro…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.