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Iris Shen

dblp:273/0146 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 first-author · 1 since 2021Databases, data management, data science and information retrieval · 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.

Databases, data mining, and information retrieval
1 paper
Recommender systems · 87% Knowledge graphs · 13%

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

TopicWeightPapersLastEvidence papers
Recommender systems › knowledge-aware recommendation
knowledge graph-based recommendation		 0.412020
In Search for a Cure: Recommendation With Knowledge Graph on CORD-19 · KDD 2020
Recommender systems › content recommendation
paper recommendation		 0.412020
In Search for a Cure: Recommendation With Knowledge Graph on CORD-19 · KDD 2020
Knowledge graphs
knowledge graph construction		 0.112020
In Search for a Cure: Recommendation With Knowledge Graph on CORD-19 · KDD 2020

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

knowledge graph · 0.4
YearPublicationVenuePosition
2025 FACT: Gated Fusion-Augmented Causal Mask Transformer for Pseudotime Analysis
Chengjie Zheng, Iris Shen, John Quackenbush, Viola Fanfani, Wei Ding 0003, Ping Chen 0001
 IEEE Big Data3
2020 In Search for a Cure: Recommendation With Knowledge Graph on CORD-19
abstract
The whole globe has cranked up for coping with the COVID-19 situation. The hands-on tutorial targets at providing a comprehensive and pragmatic end-to-end walk-through for building an academic research paper recommender for the use case of COVID-19 related study, with the help of knowledge graph technology. The code examples that demonstrate the theories are reproducible and can hopefully provide value for researchers to build tools that support conducting research to find a cure to COVID-19.
Iris Shen, Jianxun Lian, Chieh-Han Wu, Miguel González-Fierro, Andreas Argyriou
 KDD1