Yue Ling — accepted AI-conference papers

2026

CellStream: Dynamical Optimal Transport Informed Embeddings for Reconstructing Cellular Trajectories from Snapshots Data

Yue Ling, Peiqi Zhang, Zhenyi Zhang, Peijie Zhou

AAAI 2026technical

Single-cell RNA sequencing (scRNA-seq), especially temporally resolved datasets, enables genome-wide profiling of gene expression dynamics at single-cell resolution across discrete time points. However, current technologies provide only sparse, static snapshots of cell states and are inherently infl

Cited by 4 Source ↗PDF ↗Scholar ↗

2026

Revisiting the Necessity of Lengthy Chain-of-Thought in Vision-centric Reasoning Generalization

Yifan Du, Kun Zhou, Yingqian Min, Yue Ling, Wayne Xin Zhao, Youbin Wu +1

CVPR 2026

We study how different Chain-of-Thought (CoT) designs affect the acquisition of the generalizable visual reasoning ability in vision-language models (VLMs). While CoT data, especially long or visual CoT such as "think with image", has been widely used to supervise intermediate reasoning, it remains

Cited by 0 Source ↗code ↗Scholar ↗