Jingjing Ye
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Blog: Learning Together

RESEARCH

  1. The Social Dynamics and Well-Being (SocWeB) Lab at Georgia Tech, directed by Dr. Munmun De Choudhury, 2022

      Objective: Predict worker's performance and stress level through the health data with Nokia Bell Lab.

      Duty: Data analysis and machine learning predict.

    1. Drew data standard distribution to observe and used algorithm provided by Nokia Bell Lab to assign data to four Quadrants;(High performance, High stress; High performance, Low stress; Low performance, High stress; Low performance Low stress.)

    2. Calculated the feature correlation through standard like p-value.

    3. Implemented different ML ways to predict future stress and performance.

      4. Gain: In proess project

  2. FashionDeepBlue China, directed by Yilu Zhou, Agnes Kubiak, 2019-Present

    1. Dali Brush:

      To customize the personalized clothes for the clients (blend the user-supplied elements with a stylish texture to create a new printing)

      Train model to determine the product (texture) is now in its infancy, fashion, or decay.

    2. . Labeling System:

      Users of system can tag pictures according to the requirements of designer Agnes.

  3. The Color AI Lab at Fordham University, directed by Yilu ZHOU, 2018

      Objective: To accomplish the massive show field pictures processing, get the main color of clothing, the future trend of color, and color matching

      Duty: Mainly took charge of image processing, human recognition, portrait gouging, color clustering algorithm, and skin color removal algorithm.

    1. Removed the background: HumanBody Segment; get a mask; superimpose the original picture and the mask; cut out the human body, turned all pixels of the background black;

    2. Used Kmeans++ to get the color clustering; selected the top six ones of the largest color areas;

    3. Removed skin color based on YCrCb color space.

      4. Gain: results released in trend analysis report of 2018 Shanghai fashion week [my related part in this report]

      (Xinhua News Agency & FASHIONDEEPBLUE)

  4. AA Algorithm Accelerates Neural Network, directed by Yajun HA, 06-08/2018

    1. AFFINE ARITHMETIC: examined the influence of noise on the output results of neural network by adding noise to the weight, to determine whether this weight is important; cut off the excess weights to make the network lighter

    2. Duty: Set up Alex Net; processed experimental results and draw charts