activity
20222026
most citedFGBERT: Function-Driven Pre-trained Gene Language Model for Metagenomics

5 citations · 9 across the 13 of their papers we have counts for

collaborators

13 papers

cs.LG2026

Tool-Augmented On-Policy Distillation for LLM Domain Adaptation in Sequence-Based Omics Tasks

Jie Ying, Zhefan Wang, Zihong Chen +11

Multi-omics sequences contain complex biological patterns, yet deciphering their mechanisms for automated scientific discovery remains challenging. As large language models (LLMs)…

cs.LG2026

Graph-structured joint-embedding prediction for single-cell transcriptomics

Yuhao Wang, Zelin Zang, Yuxuan Liu +2

Single-cell transcriptomes are sparse, unordered measurements of coordinated biological activity, yet many self-supervised models define their learning target at the level of indiv…

cs.LG2026

ViroBench: Benchmarking Nucleotide Foundation Models on Viral Genomics Tasks

Dongxin Ye, Fang Hu, Han Hu +6

Nucleotide sequences constitute the fundamental genetic basis of biological systems, rendering viral genomic analysis critical for biomedical advancement. Despite progress in biolo…

cs.LG2026

scHelix: Asymmetric Dual-Stream Integration via Explicit Gene-Level Disentanglement

Xichen Yan, Zelin Zang, Changxi Chi +8

A critical challenge in single-cell RNA sequencing (scRNA-seq) integration is resolving the tension between eliminating batch effects and maintaining biological fidelity. While rec…

q-bio.QM2026

MAT-Cell: A Multi-Agent Tree-Structured Reasoning Framework for Batch-Level Single-Cell Annotation

Yehui Yang, Zelin Zang, Xienan Zheng +9

Automated single-cell annotation is difficult when the most abundant genes are not the most discriminative ones, or when a target state is poorly covered by a fixed reference atlas…

cs.LG2025

Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling

Mengran Li, Zelin Zang, Wenbin Xing +4

Understanding how chemical perturbations propagate through biological systems is essential for robust molecular property prediction. While most existing methods focus on chemical s…

q-bio.PE2024★ 2 cited

A Review of BioTree Construction in the Context of Information Fusion: Priors, Methods, Applications and Trends

Zelin Zang, Yongjie Xu, Chenrui Duan +4

Biological tree (BioTree) analysis is a foundational tool in biology, enabling the exploration of evolutionary and differentiation relationships among organisms, genes, and cells.…

cs.CL2024★ 1 cited

BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Science

Xinna Lin, Siqi Ma, Junjie Shan +5

Pursuing artificial intelligence for biomedical science, a.k.a. AI Scientist, draws increasing attention, where one common approach is to build a copilot agent driven by Large Lang…

cs.LG2024★ 1 cited

Set-CLIP: Exploring Aligned Semantic From Low-Alignment Multimodal Data Through A Distribution View

Zijia Song, Zelin Zang, Yelin Wang +5

Multimodal fusion breaks through the boundaries between diverse modalities and has already achieved notable performances. However, in many specialized fields, it is struggling to o…

q-bio.GN2024★ 5 cited

FGBERT: Function-Driven Pre-trained Gene Language Model for Metagenomics

ChenRui Duan, Zelin Zang, Yongjie Xu +6

Metagenomic data, comprising mixed multi-species genomes, are prevalent in diverse environments like oceans and soils, significantly impacting human health and ecological functions…

cs.CE2024

Must: Maximizing Latent Capacity of Spatial Transcriptomics Data

Zelin Zang, Liangyu Li, Yongjie Xu +5

Spatial transcriptomics (ST) technologies have revolutionized the study of gene expression patterns in tissues by providing multimodality data in transcriptomic, spatial, and morph…

q-bio.BM2024

Deep Manifold Transformation for Protein Representation Learning

Bozhen Hu, Zelin Zang, Cheng Tan +1

Protein representation learning is critical in various tasks in biology, such as drug design and protein structure or function prediction, which has primarily benefited from protei…

cs.LG2022

UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection

Zelin Zang, Yongjie Xu, Linyan Lu +3

Dimensional reduction~(DR) maps high-dimensional data into a lower dimensions latent space with minimized defined optimization objectives. The DR method usually falls into feature…