3 papers
cs.DC2025
Near-Zero-Overhead Freshness for Recommendation Systems via Inference-Side Model Updates
Wenjun Yu, Sitian Chen, Cheng Chen +1
Deep Learning Recommendation Models (DLRMs) underpin personalized services but face a critical freshness-accuracy tradeoff due to massive parameter synchronization overheads. Produ…
cs.IT2025
Optimal Reconstruction Codes with Given Reads in Multiple Burst-Substitutions Channels
Wenjun Yu, Yubo Sun, Zixiang Xu +2
We study optimal reconstruction codes over the multiple-burst substitution channel. Our main contribution is establishing a trade-off between the error-correction capability of the…
cs.IT2025
Sequence Reconstruction under Channels with Multiple Bursts of Insertions or Deletions
Zhaojun Lan, Yubo Sun, Wenjun Yu +1
The sequence reconstruction problem involves a model where a sequence is transmitted over several identical channels. This model investigates the minimum number of channels require…