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Associate Professor in AI
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SJTU
Frontend Developer
June 25, 2026 – Present
sigir23-mojito
April 17, 2023 – July 4, 2023
Source code from the SIGIR 2023 article "Attention Mixtures for Time-Aware Sequential Recommendation" by V.A. Tran, G. Salha-Galvan, B. Sguerra, and R. Hennequin
View Projectmodularity_aware_gae
May 25, 2022 – December 6, 2022
Source code from the article "Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction" (Neural Networks, 2022)
View Projectsimilar_artists_ranking
July 12, 2021 – October 17, 2021
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders (RecSys 2021)
View Projectsemi_perso_user_cold_start
May 24, 2021 – January 10, 2022
Source code from the KDD 2021 article "A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps" by L. Briand, G. Salha-Galvan, W. Bendada, M. Morlon and V.A. Tran
View Projectcarousel_bandits
July 30, 2020 – September 30, 2020
Source code and data from the RecSys 2020 article "Carousel Personalization in Music Streaming Apps with Contextual Bandits" by W. Bendada, G. Salha and T. Bontempelli
View ProjectMultilingualMusicGenreEmbedding
July 29, 2020 – November 13, 2020
Python code to reproduce the experiments presented in the paper Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation (ISMIR 2020).
View Projectfastgae
February 5, 2020 – April 29, 2022
Source code from the article "FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding" by G. Salha, R. Hennequin, J.B. Remy, M. Moussallam and M. Vazirgiannis (2020)
View Projectlinear_graph_autoencoders
October 2, 2019 – October 12, 2020
Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R. Hennequin, M. Vazirgiannis) + k-core framework implementation from IJCAI 2019 article "A Degeneracy Framework for Scalable Graph Autoencoders" (G. Salha, R. Hennequin, V.A. Tran, M. Vazirgiannis)
View Projectgravity_graph_autoencoders
August 30, 2019 – December 14, 2023
Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hennequin, V.A. Tran and M. Vazirgiannis
View ProjectCultural Fit Analysis
The candidate's project history is heavily skewed towards academic research in machine learning and data science, primarily using Python. While this demonstrates strong analytical and problem-solving skills, it shows limited direct experience with typical frontend development technologies (e.g., JavaScript frameworks, modern CSS practices beyond SCSS/HTML for a static site). The target role is 'Frontend Developer', which is a significant mismatch with the provided project portfolio. The single 'Frontend Developer' role listed is current with a future start date, providing no historical context or demonstrable skills for the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily highlights technical research contributions.