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Huan Vu

dblp:220/7328 · DBLP profile ↗
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3ranked-venue papers
1as first author
1since 2021 · last 2025
0000-0002-0785-6907ORCID · corroborated

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

Artificial intelligence and machine learning · 2 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Smart cities and intelligent transportation · 100%
Artificial intelligence
1 paper
Multi-agent systems · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems
distributed constraint optimization
0.312018
A Decentralised Approach to Intersection Traffic Management · IJCAI 2018
Smart cities and intelligent transportation › traffic management
intersection management
0.312018
A Decentralised Approach to Intersection Traffic Management · IJCAI 2018
Smart cities and intelligent transportation
traffic management
0.312018
A Decentralised Approach to Intersection Traffic Management · IJCAI 2018

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

distributed constraint optimization · 0.7
YearPublicationVenuePosition
2025 ThyroidXL: Advancing Thyroid Nodule Diagnosis with an Expert-Labeled, Pathology-Validated Dataset
Viet Hung Duong, Huan Vu, Huong Duong Phan, Duc Quyen Nguyen, Duc Hao Pham, Quang Toan Le, Ba Sy Nguyen, Tien Dung Do, Viet Sang Dinh, Tien Cuong Nguyen, Huy Hoang Pham, Dien Hy Ngo
MICCAI (15)2
2018 A Decentralised Approach to Intersection Traffic Management
abstract
Traffic congestion has a significant impact on quality of life and the economy. This paper presents a decentralised traffic management mechanism for intersections using a distributed constraint optimisation approach (DCOP). Our solution outperforms the state of the art solution both for stable traffic conditions (about 60% reduced waiting time) and robustness to unpredictable events.
Huan Vu, Samir Aknine, Sarvapali D. Ramchurn
IJCAI1
2017 A Constraint-Based Coordination Model to Advantage Buses in Urban Traffic
abstract
To make buses more attractive to users, transportation services aim to assure their efficiency and reliability, but these are subjected to traffic conditions. To do that, it is possible to grant them priority at traffic lights, but this solution is not efficient. In a dense traffic context, priority is not enough since it may lead buses to congestion. The spread of communication technologies in vehicles and personal devices enables new solutions. Regulation mechanisms based on real-time information are possible and allow intersections to apply a fine regulation policy with no traffic lights needed. We develop a distributed coordination-based mechanism using a constraint-based model allowing buses to reserve the right-of-way on their trajectory. With this mechanism, each intersection on this trajectory adapts its regulation policy in order to provide a clear path for the bus, allowing it to reach the bus stops in time. The policy of an intersection is based on a bi-level coordination model with the vehicles.
Matthis Gaciarz, Samir Aknine, Huan Vu
ICTAI3