activity
20202026
most citedReview of Single-cell RNA-seq Data Clustering for Cell Type Identification and Characterization

10 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

SyncPlan: Long-Horizon LLM Coordination with Explicit Synchronization and Adaptive Correction

Shen You, Xiaoming Zhu, Weining Weng +17

LLM-based multi-agent coordination faces a fundamental trade-off between efficiency and adaptivity in dynamic environments. Existing approaches typically rely on repeated LLM invoc…

cs.CV2026

Physically Real-time Infrared Attack against Optical Flow Estimation Networks

Shen You, Wei Jiang, Jiarui Liu +4

With the promising performance of deep neural networks on image-based tasks, different real-world applications such as autonomous driving and motion detection have become increasin…

cs.NE2024★ 4 cited

Exhaustive Exploitation of Nature-inspired Computation for Cancer Screening in an Ensemble Manner

Xubin Wang, Yunhe Wang, Zhiqing Ma +2

Accurate screening of cancer types is crucial for effective cancer detection and precise treatment selection. However, the association between gene expression profiles and tumors i…

cs.CL2021★ 3 cited

EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information

Lei Huang, Jiecong Lin, Xiangtao Li +2

The rapid growth in literature accumulates diverse and yet comprehensive biomedical knowledge hidden to be mined such as drug interactions. However, it is difficult to extract the…

q-bio.GN2020★ 10 cited

Review of Single-cell RNA-seq Data Clustering for Cell Type Identification and Characterization

Shixiong Zhang, Xiangtao Li, Qiuzhen Lin +1

In recent years, the advances in single-cell RNA-seq techniques have enabled us to perform large-scale transcriptomic profiling at single-cell resolution in a high-throughput manne…