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Huilin Gu

dblp:427/7852 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0002-6116-2524ORCID · reported

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

Databases, data management, data science and information retrieval · 2 · 2 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
2 papers
Recommender systems · 100%
Artificial intelligence
1 paper
Trustworthy machine learning · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Trustworthy machine learning
fairness
1.012026
Towards Fair Large Language Model-based Recommender Systems without Costly Retraining · WWW 2026
Machine learning › Trustworthy machine learning › fairness › ranking fairness
recommendation fairness
1.012026
Towards Fair Large Language Model-based Recommender Systems without Costly Retraining · WWW 2026
Medical and health informatics › clinical decision support
medication recommendation
1.012026
RES-MR: Risk-Aware Reasoning for Explainable and Safe Medication Recommendation · SIGIR 2026
Recommender systems
fairness-aware recommendation
1.012026
Towards Fair Large Language Model-based Recommender Systems without Costly Retraining · WWW 2026
Recommender systems
large language model-based recommendation
1.012026
Towards Fair Large Language Model-based Recommender Systems without Costly Retraining · WWW 2026
Recommender systems › domain-specific recommendation
healthcare recommendation
0.312026
RES-MR: Risk-Aware Reasoning for Explainable and Safe Medication Recommendation · SIGIR 2026

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

reasoning · 2.0large language model · 2.0explainability · 2.0
YearPublicationVenuePosition
2026 RES-MR: Risk-Aware Reasoning for Explainable and Safe Medication Recommendation
Jin Li 0028, Shoujin Wang, Yishuo Li, Huilin Gu, Wenpeng Lu
SIGIR5
2026 Towards Fair Large Language Model-based Recommender Systems without Costly Retraining
Jin Li 0028, Huilin Gu, Shoujin Wang, Qi Zhang 0020, Shui Yu 0001, Chen Wang 0008, Xiwei Xu 0001, Fang Chen 0001
WWW2