Adaptive Focused Crawling of Linked Data. - Ran Yu 001; Ujwal Gadiraju; Besnik Fetahu; Stefan Dietze (WISE (1), 2015)

Towards Entity Summarisation on Structured Web Markup. - Ran Yu 001; Ujwal Gadiraju; Xiaofei Zhu; Besnik Fetahu; Stefan Dietze (ESWC (Satellite Events), 2016)

A Survey on Challenges in Web Markup Data for Entity Retrieval. - Ran Yu 001; Besnik Fetahu; Ujwal Gadiraju; Stefan Dietze (ISWC (Posters & Demos), 2016)

Enrichment and Preservation of Architectural Knowledge. - Jakob Beetz; Ina Blümel; Stefan Dietze; Besnik Fetahu; Ujwal Gadiraju; Martin Hecher; Thomas Krijnen; Michelle Lindlar; Martin Tamke; Raoul Wessel; Ran Yu 001 (3D Research Challenges in Cultural Heritage, 2016)

FuseM: Query-Centric Data Fusion on Structured Web Markup. - Ran Yu 001; Ujwal Gadiraju; Besnik Fetahu; Stefan Dietze (ICDE, 2017)

Analysing and Improving Embedded Markup of Learning Resources on the Web. - Stefan Dietze; Davide Taibi 002; Ran Yu 001; Phil Barker; Mathieu d'Aquin (WWW (Companion Volume), 2017)

Analyzing Knowledge Gain of Users in Informational Search Sessions on the Web. - Ujwal Gadiraju; Ran Yu 001; Stefan Dietze; Peter Holtz (CHIIR, 2018)

Predicting User Knowledge Gain in Informational Search Sessions. - Ran Yu 001; Ujwal Gadiraju; Peter Holtz; Markus Rokicki; Philipp Kemkes; Stefan Dietze (SIGIR, 2018)

Detecting, Understanding and Supporting Everyday Learning in Web Search. - Ran Yu 001; Ujwal Gadiraju; Stefan Dietze (CoRR, 2018)

SALMM'19: First International Workshop on Search as Learning with Multimedia Information. - Ralph Ewerth; Stefan Dietze; Anett Hoppe; Ran Yu 001 (ACM Multimedia, 2019)

LILE2019: 8th International Workshop on Learning and Education with Web Data. - Ran Yu 001; Mathieu d'Aquin; Dragan Gasevic; Joachim Kimmerle; Eelco Herder; Ralph Ewerth (WebSci (Companion), 2019)

KnowMore - knowledge base augmentation with structured web markup. - Ran Yu 001; Ujwal Gadiraju; Besnik Fetahu; Oliver Lehmberg; Dominique Ritze; Stefan Dietze (Semantic Web, 2019)

TweetsCOV19 - A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic. - Dimitar Dimitrov 002; Erdal Baran; Pavlos Fafalios; Ran Yu 001; Xiaofei Zhu; Matthäus Zloch; Stefan Dietze (CIKM, 2020)

IWILDS'20: The 1st International Workshop on Investigating Learning during Web Search. - Anett Hoppe; Ran Yu 001; Yvonne Kammerer; Ladislao Salmerón (CIKM, 2020)

Improving Knowledge Accessibility on the Web - from Knowledge Base Augmentation to Search as Learning. - Ran Yu 001 (2020)

Predicting Knowledge Gain During Web Search Based on Multimedia Resource Consumption. - Christian Otto; Ran Yu 001; Georg Pardi; Johannes von Hoyer; Markus Rokicki; Anett Hoppe; Peter Holtz; Yvonne Kammerer; Stefan Dietze; Ralph Ewerth (AIED (1), 2021)

WorldKG: A World-Scale Geographic Knowledge Graph. - Alishiba Dsouza; Nicolas Tempelmeier; Ran Yu 001; Simon Gottschalk 001; Elena Demidova (CIKM, 2021)

IWILDS'21: Second International Workshop on Learning During Web Search. - Anett Hoppe; Ran Yu 001; Irina R. Brich; Jiqun Liu (CIKM, 2021)

State-Aware Meta-Evaluation of Evaluation Metrics in Interactive Information Retrieval. - Jiqun Liu; Ran Yu 001 (CIKM, 2021)

Domain-Specific Modeling of User Knowledge in Informational Search Sessions. - Rui Tang; Ran Yu 001; Markus Rokicki; Ralph Ewerth; Stefan Dietze (CIKM Workshops, 2021)

Exploring user historical semantic and sentiment preference for microblog sentiment classification. - Xiaofei Zhu; Jie Wu; Ling Zhu; Jiafeng Guo; Ran Yu 001; Katarina Boland; Stefan Dietze (Neurocomputing, 2021)

Topic-independent modeling of user knowledge in informational search sessions. - Ran Yu 001; Rui Tang; Markus Rokicki; Ujwal Gadiraju; Stefan Dietze (Inf. Retr. J., 2021)

SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search. - Christian Otto; Markus Rokicki; Georg Pardi; Wolfgang Gritz; Daniel Hienert; Ran Yu 001; Johannes von Hoyer; Anett Hoppe; Stefan Dietze; Peter Holtz; Yvonne Kammerer; Ralph Ewerth (CHIIR, 2022)

IWILDS'22 - Third International Workshop on Investigating Learning During Web Search. - Anett Hoppe; Ran Yu 001; Jiqun Liu (SIGIR, 2022)

Preface to IWILDS 2022. - Anett Hoppe; Ran Yu 001; Jiqun Liu (INRA/IWILDS@SIGIR, 2022)

Learning to Rank for Knowledge Gain. - Markus Rokicki; Ran Yu 001; Daniel Hienert (INRA/IWILDS@SIGIR, 2022)

Still Haven't Found What You're Looking For - Detecting the Intent of Web Search Missions from User Interaction Features. - Ran Yu 001; Limock; Stefan Dietze (CoRR, 2022)

Creating knowledge graphs for geographic data on the web. - Elena Demidova; Alishiba Dsouza; Simon Gottschalk 001; Nicolas Tempelmeier; Ran Yu 001 (SIGWEB Newsl., 2022)

A News Recommendation System for Environmental Risk Management. - Hamed Aboutorab; Ran Yu 001; Alishiba Dsouza; Morteza Saberi; Omar Khadeer Hussain (D2R2, 2023)

SCANNER: A Spatio-temporal Correlation and Neighborhood-based Feature Enrichment for Traffic Prediction. - Steve Gounoue; Ran Yu 001; Elena Demidova (SIGSPATIAL/GIS, 2023)

Iterative Geographic Entity Alignment with Cross-Attention. - Alishiba Dsouza; Ran Yu 001; Moritz Windoffer; Elena Demidova (ISWC, 2023)

Spatial Link Prediction with Spatial and Semantic Embeddings. - Genivika Mann; Alishiba Dsouza; Ran Yu 001; Elena Demidova (ISWC, 2023)

Constructing and meta-evaluating state-aware evaluation metrics for interactive search systems. - Marco Markwald; Jiqun Liu; Ran Yu 001 (Inf. Retr. J., 2023)

A Multimodal and Multitask Approach for Adaptive Geospatial Region Embeddings. - Rajjat Dadwal; Ran Yu 001; Elena Demidova (PAKDD (5), 2024)

Co-ReaSON: EEG-based Onset Detection of Focal Epileptic Seizures with Multimodal Feature Representations. - Uttam Kumar 002; Ran Yu 001; Michael Wenzel; Elena Demidova (PKDD (4), 2024)

VISOR: VIsual Seizure Onset Detection PeRsonalized for Epilepsy Patients. - Uttam Kumar 002; Ran Yu 001; Michael Wenzel; Elena Demidova (PAKDD (2), 2025)

IWILDS'25: The 5th International Workshop on Investigating Learning During Web Search. - Anett Hoppe; Ran Yu 001; Jiqun Liu; Nilavra Bhattacharya (WSDM, 2025)

TJMN: Target-enhanced joint meta network with contrastive learning for cross-domain recommendation. - Xiaofei Zhu; Lele Duan; Stefan Dietze; Ran Yu 001 (Knowl. Based Syst., 2025)