CORTEXA
← Browse

Yatao Bian

3 papers indexed

arxivcs.LG2026-07-14

SinAE: A Single-Architecture Flow-Matching Autoencoder for Cross-Domain Atomic Systems

Yuxuan Ren, Fan Yang, Jianhua Yao, Yatao Bian

Small molecules, crystals, and proteins all reduce to atoms in 3D space, yet their generative pipelines remain fragmented across domains, each with its Small molecules, crystals, and proteins all reduce to atoms in 3D space, yet their generative pipelines remain fragmented across…

View free PDFSource page
arxivcs.LG2026-07-13

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions

Yongquan Shi, Zijing Ou, Shiping Wang, Yatao Bian

Learning neural set functions is pivotal to a wide range of important applications, including compound selection in AI-driven drug discovery and product recommendation. Recent work has introduced optimal subset oracles to implicitly learn set functions under practical weakly supe…

View free PDFSource page
arxivcs.LGcs.CL2026-07-02

Do LLMs Truly Generalize in the Molecular Domain? A Perturbation-Based Analysis

Jiatong Li, Weida Wang, Changmeng Zheng, Shufei Zhang, Yatao Bian, Xiao-yong Wei, et al.

Large Language Models (LLMs) have recently shown promise in molecular discovery, yet a gap remains between their probabilistic nature over discrete sequential tokens and the rigid topological constraints of chemical space. This raises the question of whether molecular LLMs can ge…

View free PDFSource page