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Hanxiang Qin

dblp:324/3258 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2026
—ORCID · conflict

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

Databases, data management, data science and information retrieval · 1 · 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.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › retrieval models › neural retrieval
multi-vector retrieval
1.012026
Multi-Vector Index Compression in Any Modality · SIGIR 2026
Information retrieval
retrieval models
1.012026
Multi-Vector Index Compression in Any Modality · SIGIR 2026

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

index compression · 1.0
YearPublicationVenuePosition
2026 Multi-Vector Index Compression in Any Modality
Hanxiang Qin, Alexander Martin 0006, Rohan Jha, Chunsheng Zuo, Reno Kriz, Benjamin Van Durme
SIGIR1
2024 Digital Twin for Aquaponics Factory: Analysis, Opportunities, and Research Challenges
abstract
Driven by Industry 4.0, digital twin, as a key enabling technology for digital transformation and intelligent upgrade, has attracted growing attention in various fields of agriculture, such as aquaponics factory. Although the digital twin has made formidable progress in theory and application, there are still many doubts and challenges for aquaponics factory. Based on a review of publications related to digital twin, in this contribution, we summarized the connotation of digital twin, including an overview of the research evolution, architecture, and clarification of digital twin and other concepts, such as cyber-physical systems and simulations. Enabling technologies of digital twin are also introduced from a five-dimensional model perspective. On the basis of maintaining a consensus understanding of digital twin, we explored the potential of digital twin in aquaponics without violating the initial vision of digital twin. First, we provided a comprehensive and insightful summary of aquaponics factory and the application of digital twin in agriculture, with the aim of discovering the possibilities and directions for introducing digital twin into aquaponics factory. Then, we dissected in detail practical cases of digital twin related to the production of aquaponics factory, highlighting the added value that digital twin may bring to aquaponics factory, and explored urgent challenges and research directions.
Hanxiang Qin, Yingqian Chai, Ni Yan, Daoliang Li, Yingyi Chen
IEEE Trans. Ind. Informatics3