| 2022 | RecSys | REVEAL 2022: Reinforcement Learning-Based Recommender Systems at Scale. | Richard Liaw, Paige Bailey, Ying Li, Maria Dimakopoulou, Yves Raimond |
| 2021 | RecSys | Accordion: A Trainable Simulator forLong-Term Interactive Systems. | James McInerney, Ehtsham Elahi, Justin Basilico, Yves Raimond, Tony Jebara |
| 2020 | RecSys | REVEAL 2020: Bandit and Reinforcement Learning from User Interactions. | Thorsten Joachims, Yves Raimond, Olivier Koch, Maria Dimakopoulou, Flavian Vasile, Adith Swaminathan |
| 2019 | RecSys | REVEAL 2019: closing the loop with the real world: reinforcement and robust estimators for recommendation. | Thorsten Joachims, Maria Dimakopoulou, Adith Swaminathan, Yves Raimond, Olivier Koch, Flavian Vasile |
| 2018 | RecSys | REVEAL 2018: offline evaluation for recommender systems. | Thorsten Joachims, Adith Swaminathan, Yves Raimond, Olivier Koch, Flavian Vasile |
| 2017 | RecSys | Dj Vu: The Importance of Time and Causality in Recommender Systems. | Justin Basilico, Yves Raimond |
| 2016 | RecSys | Recommending for the World. | Justin Basilico, Yves Raimond |
| 2014 | Interspeech | Identifying contributors in the BBC world service archive. | Yves Raimond, Thomas Nixon |
| 2012 | WWW | Automated interlinking of speech radio archives. | Yves Raimond, Chris Lowis |
| 2012 | WWW | Automated semantic tagging of speech audio. | Yves Raimond, Chris Lowis, Roderick Hodgson, Jonathan Tweed |
| 2009 | WWW | Interlinking Multimedia: How to Apply Linked Data Principles to Multimedia Fragments. | Michael Hausenblas, Raphal Troncy, Tobias Brger, Yves Raimond |
| 2008 | WWW | Building Linked Data For Both Humans and Machines. | Wolfgang Halb, Yves Raimond, Michael Hausenblas |
| 2008 | WWW | Automatic Interlinking of Music Datasets on the Semantic Web. | Yves Raimond, Christopher Sutton, Mark B. Sandler |