• Eight papers accepted by NeurIPS 2024!

    In this year’s NeurIPS conference, our team members have published eight papers, inclduing seven papers in the main track and one paper in the dataset and benchmark track, among which two papers are spotlight papers. Several team members will attend the conference in person and welcome everyone to stop by...

  • Our drug combination work is published in Nature Communications!

    Due to low success rates and long cycles of traditional drug development, the clinical tendency is to apply omics techniques to reveal patient-level disease characteristics and individualized responses to treatment. However, the heterogeneous form of data and uneven distribution of targets make drug discovery and precision medicine a non-trivial task....

  • We are hiring!

    We are hiring researchers and interns major in machine learning and its applications. If you are interested, please send your CV to dongsli@microsoft.com.

  • Two papers accepted by ECCV 2024!

    Two papers are accepted by ECCV 2024, entitled Unified Medical Image Pre-training in Language-Guided Common Semantic Space and Online Video Quality Enhancement with Spatial-Temporal Look-up Tables.

  • Attend AI Agent Summit by Andrew NG

    We have been invited to attend AI Agent Summit, hosted by Andrew NG (Founder of DeepLearning.ai), to imagine the future of AI Agent and Agentic workflow.

  • One paper published in Nature Communications!

    Behaving efficiently and flexibly is crucial for biological and artificial embodied agents. Behavior is generally classified into two types: habitual (fast but inflexible), and goal-directed (flexible but slow). While these two types of behaviors are typically considered to be managed by two distinct systems in the brain, recent studies have...

  • Our paper won the outstanding paper award at EACL 2024!

    Our paper entitled “MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks” [Zhang et al., 2024]1 was presented at the EACL 2024 conference and won the the outstanding paper award. In this paper, we aim to bridge the gap between machine intelligence and human knowledge by...