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  • Alibaba
  • Hangzhou, China
  • 06:55 (UTC +08:00)

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@LAMDA-NJU @TorchEnsemble-Community

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xuyxu/README.md

Hi there 👋

Currently, I am a senior software engineer at Alibaba Group. My job focuses on building platforms for training and serving large deep learning models, such as diffusion models and transformers used in AIGC applications.

Before joining Alibaba, I was a software engineer at Huawei Cloud. During this period, I worked on a cloud native software for data analysis and federated learning. My work is about building a Spark-like distributed execution framework, and implementing distributed machine learning models. A lot of my efforts were also devoted to performance optimization using parallel computing, heterogeneous computing, and distributed computing.

I got my M.Sc degree from the Learning And Mining from DatA (LAMDA) group in Nanjing University, supervised by Prof. Zhi-Hua Zhou and Prof. Yuan Jiang. My research interests included ensemble learning and its applications in areas like anomaly detection and federated learning. Two popular repositories developed by me are Ensemble-Pytorch and Deep-Forest.

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  1. TorchEnsemble-Community/Ensemble-Pytorch TorchEnsemble-Community/Ensemble-Pytorch Public

    A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

    Python 1.1k 95

  2. LAMDA-NJU/Deep-Forest LAMDA-NJU/Deep-Forest Public

    An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

    Python 912 159

  3. Deep-Clustering-Network Deep-Clustering-Network Public

    PyTorch Implementation of "Towards K-Means-Friendly Spaces: Simultaneous Deep Learning and Clustering," Bo Yang et al., ICML'2017.

    Python 120 29

  4. Soft-Decision-Tree Soft-Decision-Tree Public

    PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.

    Python 95 19

  5. sktime/sktime sktime/sktime Public

    A unified framework for machine learning with time series

    Python 7.9k 1.4k

  6. sebp/scikit-survival sebp/scikit-survival Public

    Survival analysis built on top of scikit-learn

    Python 1.1k 214