Author

Can-Yu Shen

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Preprint Aug 2026

Drift-Aware Multimodal User Representation Learning via Multi-Scale Temporal Modeling and Sparse Mixture-of-Experts

Understanding user preferences from noisy and temporally evolving social media behaviors is fundamentally challenging due to interest drift, where user preferences shift across time and exhibit both multi-scale temporal patterns and diverse co-existing interests. To address this, we propose DUMoE, a unified framework f...

Ziqing Qian, Hao-Hang Chen, Sheng-Qi Dang et al. · 0 citations

Preprint Aug 2026

GramLoop: Training-Free Gram-Gated Replay for Robust Dense Prediction

GramLoop is introduced, a training-free framework that replays a short transformer window and controls each replay through final-layer cosine-Gram consistency, which improves object detection and semantic segmentation under corruptions, perturbations, and natural shifts.

Yang Chen, Can-Yu Shen, Xin-Zhe Rao et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Training-Free Hidden-State Refinement for Flow-Matching Image Generators

A training-free looping framework that repeatedly applies selected transformer layers inside each denoising call is introduced, which improves primary and auxiliary quality metrics with competitive quality--efficiency trade-offs across two Scale-RAE model scales.

Yuan-Yi Yan, Xin-Zhe Rao, Can-Yu Shen et al. · 0 citations