1 citations · 2 across the 5 of their papers we have counts for
5 papers
Localize, Then Reason: Visual Latent Structural Reasoning for Molecular Properties and Edits
Xingqiao Lin, Junmei Wang, Haocheng Tang
Local chemical perception and property reasoning are both essential for understanding how molecular structure determines properties. Current LLM-based chemical reasoning methods ei…
Learning Mechanistic Reasoning for Chemical Reactions with Large Language Models
Xingyu Dang, Haocheng Tang, Junmei Wang +1
Reaction mechanisms consist of the step-by-step sequences of elementary reactions that explain chemical transformations. Learning the mechanism logic is therefore essential for enh…
Fine-tuning DeepSeek-OCR-2 for Molecular Structure Recognition
Haocheng Tang, Xingyu Dang, Junmei Wang
Optical Chemical Structure Recognition (OCSR) is critical for converting 2D molecular diagrams from printed literature into machine-readable formats. While Vision-Language Models h…
Auxiliary Discrminator Sequence Generative Adversarial Networks (ADSeqGAN) for Few Sample Molecule Generation
Haocheng Tang, Jing Long, Beihong Ji +1
In this work, we introduce Auxiliary Discriminator Sequence Generative Adversarial Networks (ADSeqGAN), a novel approach for molecular generation in small-sample datasets. Traditio…
Emerging Opportunities of Using Large Language Models for Translation Between Drug Molecules and Indications
David Oniani, Jordan Hilsman, Chengxi Zang +4
A drug molecule is a substance that changes the organism's mental or physical state. Every approved drug has an indication, which refers to the therapeutic use of that drug for tre…