Develop empirical methods
to make AI
faster and more efficient

Where performance meets effiency, we are the HPC-AI Lab @NUS.
Who WE Are
We are a cutting-edge lab that integrates high performance computing seamlessly with deep learning. Topics of research interests encompass Machine Learning, High Performance Computing, Machine Learning Systems, Parallel and Distributed Systems, and AI Applications (e.g. CV, NLP, Biology). HPC-AI Lab @NUS is directed by Presidential Young Professor Yang You.
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NEWS

Neural Network Diffusion

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OpenDiT: An Easy, Fast and Memory-Efficient System for DiT Training and Inference

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SELECTED PUBLICATIONS

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Ensemble Debiasing Across Class and Sample Levels for Fairer Prompting Accuracy

COLM 2025
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Expert-as-a-Service: Towards Efficient, Scalable, and Robust Large-scale MoE Serving

arXiv 2025
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Recurrent Diffusion for Large-Scale Parameter Generation

NeurIPS 2025

PEOPLE

LAB OPENINGS

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