activity
20202026
most citedBioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining

1.2k citations · 1.3k across the 31 of their papers we have counts for

collaborators
Showing cs.AIShow all

8 papers · 1 filter

cs.AI2026

VeriGeo: Controllable Geometry Question Generation with Numerical and Analytical Verification

Xiaoxian Duan, Zequn Liu, Yingce Xia

Geometry problem generation is useful for AI-assisted education and multimodal mathematical reasoning, but reliable synthesis remains difficult because the problem statement, diagr…

cs.AI2026

ForeSci: Evaluating LLM Agents for Forward-Looking AI Research Judgment

Qiuyu Tian, Haojie Yin, Yingce Xia +5

AI research often requires decisions before future evidence exists: which bottleneck to attack, which direction to pursue, or where a project should be positioned. We introduce For…

cs.AI2025

MolChord: Structure-Sequence Alignment for Protein-Guided Drug Design

Wei Zhang, Zekun Guo, Yingce Xia +4

Structure-based drug design (SBDD), which maps target proteins to candidate molecular ligands, is a fundamental task in drug discovery. Effectively aligning protein structural repr…

cs.AI2025★ 1 cited

Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

Yingce Xia, Peiran Jin, Shufang Xie +43

Foundation models have revolutionized natural language processing and artificial intelligence, significantly enhancing how machines comprehend and generate human languages. Inspire…

cs.AI2023★ 8 cited

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies

Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang +89

In the upcoming decade, deep learning may revolutionize the natural sciences, enhancing our capacity to model and predict natural occurrences. This could herald a new era of scient…

cs.AI2023★ 1 cited

Retrosynthesis Prediction with Local Template Retrieval

Shufang Xie, Rui Yan, Junliang Guo +3

Retrosynthesis, which predicts the reactants of a given target molecule, is an essential task for drug discovery. In recent years, the machine learing based retrosynthesis methods…

cs.AI2023★ 5 cited

Retrosynthetic Planning with Dual Value Networks

Guoqing Liu, Di Xue, Shufang Xie +7

Retrosynthesis, which aims to find a route to synthesize a target molecule from commercially available starting materials, is a critical task in drug discovery and materials design…

cs.AI2022★ 24 cited

Direct Molecular Conformation Generation

Jinhua Zhu, Yingce Xia, Chang Liu +9

Molecular conformation generation aims to generate three-dimensional coordinates of all the atoms in a molecule and is an important task in bioinformatics and pharmacology. Previou…