2 citations · 5 across the 13 of their papers we have counts for
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Federated Semantic Residuals for Multimodal Recommendation
Zhiwei Li, Guodong Long, Chengqi Zhang +1
Federated Recommendation Systems (FedRSs) learn collaborative scores from interaction histories on device and rank items by them, so a higher score means a higher rank. Item text a…
Symmetric Bases and Embeddings in Musielak--Orlicz Sequence Spaces under
Valentin Georgiev, Boyan Zlatanov
We study isomorphic embeddings into Musielak-Orlicz sequence spaces \(\ell_Φ\), where the normalized generating sequence \(Φ=\{ϕ_n\}\) satisfies the \(δ_2\) condition. Using admiss…
Content Depth Matters in Short-Video Recommendation: Rethinking the Attention Economy
Liwei Deng, Jing Jiang, Zhiwei Li +2
Driven by the attention economy, short-video Recommender Systems (RSs) are primarily optimized to maximize user engagement by promoting videos that capture attention within seconds…
Federated Weather Modeling on Sensor Data
Shengchao Chen, Guodong Long
Federated weather modeling on sensor data is a distributed system underpinned by federated learning, enabling multiple sensor data sources, including ground weather stations, satel…
Learning Evolving Preferences: A Federated Continual Framework for User-Centric Recommendation
Chunxu Zhang, Zhiheng Xue, Guodong Long +2
User-centric recommendation has become essential for delivering personalized services, as it enables systems to adapt to users' evolving behaviors while respecting their long-term…