Explore Knowledge Graphs and Large Language Models to Advance Scientific Discovery

 
About Us       Projects

Research

The team is committed to explore Knowledge Graphs, Large Language Models and other modern AI technologies to advance scientific discovery.

Knowledge Graphs

Knowledge Graphs (KGs) model world knowledge in graph-like forms, and have been widely deployed in modeling scientific knowledge in life sciences, drug discovery, chemistry etc.

Large Language Models

Large Language Model (LLMs) such as chatGPT are deep neural models pre-trained on very large-scale corpus or data, typically with a general purpose that excels at a wide range of tasks.

AGI for Science

AI-powered robots or copilots are likely to transform science and fundamentally alter the creative processes by which scientist formulate ideas and put them into experiments.

Featured Projects

The team is also committed to develop open LLM models, open KG datasets and open tools for scientific communities.

Science Copilot

Copilot for Scientific Work

chatProtein

Large Protein Language Model

chatProtein

Large Protein Language Model

LM2

Large Molecular Language Model

ProteinKG

Genomic Knowledge Graphs

FoundryGPT

GPT for iBiofoundry and iChemfoundry

ElementKG

Chemical Element Knowledge Graph

News

Recent news about the team. Read More...

  • 2023-05-04

    New article published in Nature Machine Intelligence

    A new article "Knowledge graph-enhanced molecular contrastive learning with functional prompt. " was just release in official website of Nature Machine Intelligence.

  • 2023-04-01

    Release Instructed Protein Language model

    prompt engineering

  • 2023-01-02

    New ICLR paper accepted

    Our new paper about "Multi-level Protein Structure Pre-training via Prompt Learning" was accepted by ICLR2023

  • 2023-01

    New IJCAI paper accepted

    Our new paper about "Graph Sampling-based Meta-Learning for Molecular Property Prediction" was accepted by IJCAI2023

Team

The AI CrossX team, based at Hangzhou Innovation Center of Zhejiang University , is composed of cross-disciplinary members from College of Computer Science of Zhejiang University , Institute for Intelligent Bio/Chem Manufacturing of Hangzhou Innovation Center, and College of Pharmacy Science of Zhejiang University.

Prof. Huajun Chen

Full Professor, College of Computer Science and Technology, Zhejiang University
Director, AI CrossX Laboratory, Hangzhou Innovation Center, Zhejiang University

Prof. Qiang Zhang

ZJU-Top100 Tantent Researcher
PI of AI CrossX Lab

Dr. Keyan Ding

HIC-ZJU Tantent Researcher
PI of AI CrossX Lab

Prof. Renjun Xu

ZJU-Top100 Tantent Researcher
PI of AI CrossX Lab

Students

Yuqiang Han

Postdoc

Haihong Yang

PhD Student

Ming Qin

PhD Student

Zeyuan Wang

PhD Student

Yin Fang

PhD Student

Xiang Zhuang

PhD Student

Lingbing Guo

PhD Student

Tong Xu

PhD Student

Mengyao Zhang

MSc Student

Zhuoyi Xiang

MSc Student

Xiaotong Li

MSc Student

Yuhao Wang

MSc Student

Yixuan Lai

MSc Student

Yuxia Geng

PhD Student

Zhen Bi

PhD Student

Zhuo Chen

PhD Student

Research Assistants

Zhichen Gong

Software Engineer

Jian Zhang

Software Engineer

Junjie Huang

Software Engineer

Hongjie Deng

Software Engineer

Contact Us

We are hiring.