Precognition Lab @ HKUST (Guangzhou)
Our research lab, the Precognition Lab (智能感知与预测实验室), is interested in building human-level Embodied AI systems that can effectively perceive, reason and interact with the real world for the good of humans. Here is an up-to-date research roadmap.
Our lab's computing resources include 32 RTX 3090/4090 GPUs and a cluster of 24 A6000 GPUs with a 100TB NAS. See this post. And we have three mobile platforms with a robot arm:

Check out our lab's cool demos.
Our lab has over 10K followers on social media: [Rong's 知乎] [Yujin's 知乎] [Junwei's 知乎] [Junwei's 小红书] [Junwei's LinkedIn]
Media Coverage
Lab Members
  1. An Examination of the Compositionality of Large Generative Vision-Language Models
    Teli Ma, Rong Li, Junwei Liang
    NAACL 2024
  2. PostRainBench: A comprehensive benchmark and a new model for precipitation forecasting
    Yujin Tang, Jiaming Zhou, Xiang Pan, Zeying Gong, Junwei Liang
    ICLR 2024 Workshop: Tackling Climate Change with Machine Learning (Spotlight paper)
  3. Multi-dataset Training of Transformers for Robust Action Recognition
    Junwei Liang, Enwei Zhang, Jun Zhang, Chunhua Shen
    NeurIPS 2022 (Spotlight paper, 3.7% acceptance rate, 384/10411)
  4. The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction
    Junwei Liang, Lu Jiang, Kevin Murphy, Ting Yu, Alexander Hauptmann
    CVPR 2020  
  5. Peeking into the Future: Predicting Future Person Activities and Locations in Videos
    Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander Hauptmann, Li Fei-Fei
    CVPR 2019 (Translated and reported by multiple Chinese media (量子位 & 机器之心, 02/13/2019), with 30k+ views in a week.)
    #1 Tensorflow-based code on PaperWithCode in Trajectory Prediction task.