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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Jiezhou Ji

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3 papers indexed here

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Preprint Oct 2026

ECHO: Efficient Cascade with Homogeneous Operators for Distillation-Guided 100K-Sequence Modeling

Modeling lifetime user behavior sequences is essential for capturing long-range preferences in industrial recommendation, yet 100K-length user sequences make target-aware ranking prohibitively expensive. Search-based methods that retrieve from raw sequences incur candidate-dependent costs that grow with sequence length...

Wen-Hao Li, Qing-Lin Jia, Cheng-Hou Jin et al. · 0 citations
Preprint Aug 2026

SITA: Semantic Interest Tokens for Target-Aware Compression in Long-Sequence Recommendation

SITA enables target-aware compression by organizing compressed interests into semantic structures through semantic identifiers learned via parallel semantic quantization, conditioned on the semantic identifier of the target item, and adaptively aggregates the corresponding structured interests to construct the target-s...

Rui Zhou, Bo Chen, Qinglin Jia et al. · 0 citations
Open access Aug 2026

TEAM: A time-enhanced attention-based model for virus mutation prediction

The time‐enhanced attention‐based model (TEAM) is presented, which combines phylogenetic sampling with deep learning to improve virus mutation prediction accuracy and provides a scalable and interpretable solution for mutation prediction, offering valuable insights for evolutionary research and public health planning.

Jiezhou Ji, Jie Hu, Tianwei Yu et al. · 0 citations

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