Hao Liu


I'm a research scientist at Google DeepMind.

Previously, I was a PhD student in EECS at Berkeley, advised by Professor Pieter Abbeel, and spent two years part-time at Google Brain.

I'm an incoming Assistant Professor of Machine Learning at Carnegie Mellon University.

My interests include fundamental problems in deep learning, neural networks, learning objectives, and solving superintelligence.





News:

  • ElasticTok: adapts computation based on available information in images/videos (paper'24,code).

  • Large World Models(LWM) for modeling text and video of millions tokens length (code).

  • Agentic Transformer for learning decision-making from trial-and-error sequences at scale (paper'23).

  • Nearinfinite context with BlockwiseTransformer and RingAttention (paper'24,paper'23,code).

  • Open language models: Koala, OpenLLaMa (blog'23,models).

  • Reinforcement learning from unsupervised exploration (paper'22,paper'22,paper'21).

  • Publications
    Teaching
    email = haoxyliu@gmail.com
    Information for prospective students