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Do Huy Hoang

dblp:240/9077 · DBLP profile ↗
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11ranked-venue papers
5as first author
10since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 9 · 5 first-author · 9 since 2021Databases, data management, data science and information retrieval · 2 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Data integration and cleaning · 50% Knowledge graphs · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge graphs › knowledge graph embedding
entity embedding
0.412019
Place Deduplication with Embeddings · WWW 2019
Data integration and cleaning
entity resolution
0.412019
Place Deduplication with Embeddings · WWW 2019

Methods — techniques the papers use, named apart from their topics

graph embedding · 0.4data-driven pipeline · 0.4
YearPublicationVenuePosition
2026 A note on the pseudometric generating property and autocontinuity from above of monotone measures
Duc Toan Truong, Do Huy Hoang, Huynh Van Dung, Tran Nhat Luan
Fuzzy Sets Syst.2
2025 On the convergence of measurable functions: Solutions to two open problems
Do Huy Hoang, Tran Nhat Luan
Fuzzy Sets Syst.1
2025 On Strict Convergence in Measure Theorems for Seminormed and Semiconormed Fuzzy Integrals
abstract
We provide several strict convergence in measure theorems for the seminormed and semiconormed fuzzy integrals. These results are finer in comparison with the strict convergence in measure theorem which has been previously studied.
Do Huy Hoang, Truong Thi Nhan, Pham Thanh Son, Dao Van Duong, Tran Nhat Luan
Int. J. Uncertain. Fuzziness Knowl. Based Syst.1
2023 On a convergence in measure theorem for the seminormed and semiconormed fuzzy integrals
Do Huy Hoang, Pham Thanh Son, Ho Quang Duc, Dao Van Duong, Tran Nhat Luan
Fuzzy Sets Syst.1
2023 On almost uniform convergence theorems for the smallest semicopula-based universal integral
Do Huy Hoang, Pham Thanh Son, Truong Thi Nhan, Ho Quang Duc, Dao Van Duong
Fuzzy Sets Syst.1
2023 On the coincidence of lower and upper generalized Sugeno integrals
Tran Nhat Luan, Do Huy Hoang, Tran Minh Thuyet
Fuzzy Sets Syst.2
2022 An overview on nondecreasing binary operators, their properties and applications on generalized upper Sugeno integral
Do Huy Hoang, Huynh Ngoc Phuoc, Huynh Dang Nguyen, Kieu Huu Dung
Fuzzy Sets Syst.1
2022 A note on the smallest semicopula-based universal integral and an application
Tran Nhat Luan, Do Huy Hoang, Tran Minh Thuyet, Huynh Ngoc Phuoc, Kieu Huu Dung
Fuzzy Sets Syst.2
2021 On a version of fuzzy Jensen inequality based on the measure of level-set
Tran Nhat Luan, Do Huy Hoang, Tran Minh Thuyet, Ho Quang Duc
Fuzzy Sets Syst.2
2021 From comonotone commuting properties of seminormed fuzzy integrals to solving two open problems
Tran Nhat Luan, Do Huy Hoang, Tran Minh Thuyet
Inf. Sci.2
2019 Place Deduplication with Embeddings
abstract
Thanks to the advancing mobile location services, people nowadays can post about places to share visiting experience on-the-go. A large place graph not only helps users explore interesting destinations, but also provides opportunities for understanding and modeling the real world. To improve coverage and flexibility of the place graph, many platforms import places data from multiple sources, which unfortunately leads to the emergence of numerous duplicated places that severely hinder subsequent location-related services. In this work, we take the anonymous place graph from Facebook as an example to systematically study the problem of place deduplication: We carefully formulate the problem, study its connections to various related tasks that lead to several promising basic models, and arrive at a systematic two-step data-driven pipeline based on place embedding with multiple novel techniques that works significantly better than the state-of-the-art.
Carl Yang 0001, Do Huy Hoang, Tomás Mikolov, Jiawei Han 0001
WWW2