binary fingerprinting 1memory-efficient encoding 1metadata imputation 1optimal transport 1population constraints 1recoverability 1single-cell transcriptomics 1sparse count matrices 1survey data 1unsupervised representation 1
From the 2 of 3 linked papers with an AI index.
3 papers
cs.SE2026
A Deterministic Binary Fingerprinting Framework with Zero-Trained Feature Extraction for Sparse Count Matrices
Lei Zhao, Fujin Huang, Ling Kang +1
The paper presents MMTB, a deterministic, label‑free binary fingerprinting method that converts sparse count matrices (e.g., single‑cell RNA‑seq) into fixed‑width binary codes usin…
cs.SI2026
Context Distribution Restoration for Social Surveys: A Recoverability-Adaptive Transport Framework
Lei Zhao, Fujin Huang, Ling Kang +1
The paper proposes a method to recover missing survey metadata (e.g., urban/rural status, gender) by using covariate data while ensuring the restored metadata matches known populat…
cs.NE2025
Zero-Shot Document-Level Biomedical Relation Extraction via Scenario-based Prompt Design in Two-Stage with LLM
Lei Zhao, Ling Kang, Quan Guo
With the advent of artificial intelligence (AI), many researchers are attempting to extract structured information from document-level biomedical literature by fine-tuning large la…