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xiaoiker/README.md

Hi there 👋

I’m a Post-Doc researcher at Stanford University. Before that, I was a Machine learniang researcher and a PhD candidate at CMVS, university of Oulu, Finland. Currently, I am working on machine learning and its applications. My research interests includes affective computing (e.g., emotion classification and human behavior analysis), medical image analysis and especially, MRI/fMRI reconstruction and acceleration.

Education

2021-2022 (4 months) : Exchange Researcher; ETH Zürich, Switzerland

 Medical Image Segmentation

2020-2021 (6 months) : Exchange Researcher; Harvard University, US

 MRI acceleration and reconstruction

2018-2022 : PhD, Computer Science; University of Oulu, Finland

Deep Learning Approaches for Affective computing

2013-2016 : MSc, Computer Science; Xiamen University, PR China

 Machine Learning applications in the field of Object detection and tracking 

2009-2013 : BSc, Electrical Engineering; University of Electronic Science and Technology of China, PR China

Undergraduate study major in Electrical Engineering

Selected Publications

Jounal papers:

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Conference papers

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Award

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Others

  • First item

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  1. GCN-NAS Public

    Source code for "Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching", AAAI2020

    Python 151 32

  2. NAS-With-Code Public

    Neural Architecture Search (NAS) papers with code

    158 21

  3. google-research/torchsde Public

    Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

    Python 1.6k 205

  4. shlizee/Predict-Cluster Public

    Repository for PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition

    Jupyter Notebook 109 23

  5. xupei0610/KDMA Public

    [IROS2021] Human-Inspired Multi-Agent Navigation using Knowledge Distillation

    Python 23 7

  6. zhy0860/phi Public

    Python 7 5

10 contributions in the last year

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Contribution activity

March 2025

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