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20232025
most citedLevenshtein Distance Embedding with Poisson Regression for DNA Storage

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Dual Teacher-Student Learning for Semi-supervised Medical Image Segmentation

Pengchen Zhang, Alan J. X. Guo, Sipin Luo +2

Semi-supervised learning reduces the costly manual annotation burden in medical image segmentation. A popular approach is the mean teacher (MT) strategy, which applies consistency…

cs.LG2025

VT-Former: Efffcient Transformer-based Decoder for Varshamov-Tenengolts Codes

Yali Wei, Alan J. X. Guo, Zihui Yan +2

In recent years, widespread attention has been drawn to the challenge of correcting insertion, deletion, and substitution (IDS) errors in DNA-based data storage. Among various IDS-…

cs.IT2024

Disturbance-based Discretization, Differentiable IDS Channel, and an IDS-Correcting Code for DNA-based Storage

Alan J. X. Guo, Mengyi Wei, Yufan Dai +2

With recent advancements in next-generation data storage, especially in biological molecule-based storage, insertion, deletion, and substitution (IDS) error-correcting codes have g…

cs.LG2023★ 2 cited

Levenshtein Distance Embedding with Poisson Regression for DNA Storage

Xiang Wei, Alan J. X. Guo, Sihan Sun +2

Efficient computation or approximation of Levenshtein distance, a widely-used metric for evaluating sequence similarity, has attracted significant attention with the emergence of D…

cs.IT2023

DoDo-Code: an Efficient Levenshtein Distance Embedding-based Code for 4-ary IDS Channel

Alan J. X. Guo, Sihan Sun, Xiang Wei +2

With the emergence of new storage and communication methods, the insertion, deletion, and substitution (IDS) channel has attracted considerable attention. However, many topics on t…