Skip to content
View coco11563's full-sized avatar
🐢
Working
🐢
Working
27 followers · 31 following
  • Chinese Academy of Sciences
  • China Beijing
  • 16:41 (UTC +08:00)

Achievements

Achievement: Arctic Code Vault ContributorAchievement: Pull Shark
BetaSend feedback

Achievements

Achievement: Arctic Code Vault ContributorAchievement: Pull Shark
BetaSend feedback

Organizations

@cas-bigdatalab
Block or Report

Block or report coco11563

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
coco11563/README.md
  • 👋 Hi, I’m @coco11563
  • Now I'm stepping into my fourth grade as a Ph.D. student at UCAS.
  • 👀 I’m interested in Data Mining, Feature Engineer, NLP, and RL
  • 🌱 I’m currently doing research on some novel Feature Selection/Transformation ideas.
  • 📫 How to reach me via xiaomeng7890.at.gmail.com
  • My personal site is here

Pinned

  1. cas-bigdatalab/piflow cas-bigdatalab/piflow Public

    πflow is a big data flow engine with spark support

    Scala 513 167

  2. Traceable_Automatic_Feature_Transformation_via_Cascading_Actor-Critic_Agents Traceable_Automatic_Feature_Transformation_via_Cascading_Actor-Critic_Agents Public

    Code for <Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents>

    Python 3

  3. Group-wise-Reinforcement-Feature-Generation-for-Optimal-and-Explainable-Representation-Space-Reconst Group-wise-Reinforcement-Feature-Generation-for-Optimal-and-Explainable-Representation-Space-Reconst Public

    code for SIGKDD 2022 paper : Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction

    Python 5 3

  4. poiDataProcess poiDataProcess Public

    准确率高达91.45% 还有谁！ 使用了基于kd树的knn以及自己写的优先队列 实在是太强势了 整体BUG完全去除版 下一个版本考虑加入各类分类情况及准确率

    Java 7

  5. jsonNifiExampleProcessor jsonNifiExampleProcessor Public

    Java 6 5

  6. AlgorithmHomeWork AlgorithmHomeWork Public

    Algorithms, Part I 来自于 普林斯顿大学

    Java