Guillaume Salha-Galvan
Hi! I am Guillaume, from France. I am an Associate Professor in Artificial Intelligence at Shanghai Jiao Tong University (SJTU). I am a faculty member of the SJTU Paris Elite Institute of Technology, an international research and teaching institute established at SJTU in partnership with four leading French engineering schools: École Polytechnique, Mines Paris, Télécom Paris, and ENSTA. I am also currently building the Sino-French Data & AI Lab, supported by several competitive research grants and talent programs.
My research interests span the broad areas of machine/deep learning, large language models (LLMs), graph learning, recommender systems, and their applications. I have published over 40 scientific articles in peer-reviewed journals and leading international conferences, where I also regularly serve as a reviewer. My work has been nominated for multiple best paper awards over the years.
Before joining SJTU, I gained nearly a decade of industry experience, including as Director of Research at the sustainability-driven organization Kibo Ryoku and as Research Scientist and Coordinator for Music Recommendation at Deezer, a French music streaming service. I continue to collaborate regularly with several companies, and applying my research to industrial challenges remains a core part of my work and overall goals. Several of my papers have had significant real-world impact, notably by powering recommender systems used by millions.
I completed my Ph.D. in Computer Science at École Polytechnique, IP Paris. My doctoral research, supervised by Romain Hennequin and Michalis Vazirgiannis, was conducted in parallel with my work at Deezer, through a scientific and industrial partnership between both institutions. Prior to that, I graduated from ENS Paris-Saclay with an M.Sc. in Machine Learning (MVA), and from ENSAE Paris with an M.Eng. in Data Science, both with first-class honours.
News
Our work on two-level softmax with Walid Bendada (Spotify) has been accepted at NeurIPS 2026!
The Machine Learning course has started at the SJTU Paris Elite Institute of Technology (Year 4). Delighted to be teaching it this semester.
I will also give an Invited Talk on Multimodal LLMs in Action at the DaQuaMRec@RecSys2026 workshop in Minneapolis. Many thanks to the organizers for the invitation.
Just accepted at RecSys 2026! A wonderful collaboration with Xiaohongshu (RedNote) on a multimodal LLM powering Explore Feed recommendations for 300 million users. See you in Minneapolis!
The EARL workshop on LLMs for recommendation will be back for its 3rd edition, this time co-located with CIKM 2026 in Rome, Italy. Excited to co-organize it once again!
Pleased to serve as a panelist at the Tech for Good 2026 event, organized by La French Tech Shanghai.
More good news this month, with papers accepted at SPIGM@ICML 2026 and ECML-PKDD 2026!
Our paper on AI regulation has been accepted at ICML 2026! More details coming soon. Congratulations to Rebecca Salganik and all co-authors, and see you in Seoul.