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๐Ÿ‘‹ Hello! I'm Buqi.

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  • ๐Ÿ˜„ I'm new at research
  • ๐Ÿ”ญ Iโ€™m currently study at ISCAS as a postgraduate student
  • ๐ŸŒฑ Iโ€™m currently interested in Meta-Learning, Transfer Learning, Multi-Modal Representation Learning, and Embodied Intelligence
  • ๐Ÿ’ฌ Ask me about Anything
  • ๐Ÿ“ซ How to reach me: @buqi on zhihu or email: [email protected]
  • โšก Fun fact: slash youth, may be?

Universities and Institutions:

bjut ย  Microsoft ย  BAAI ย  ucas ย  iscas

Languages and Tools:

Current Project & Research:

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Buqi's Projects

adaptive-sampler icon adaptive-sampler

๐ŸŒˆ Official code for "Towards Task Sampler Learning for Meta-Learning"

gesture-recognition icon gesture-recognition

Gesture recognition & Pose estimation. ๆ‰‹ๅŠฟ่ฏ†ๅˆซใ€ๅงฟๆ€ไผฐ่ฎก็ญ‰ๅŠŸ่ƒฝ๏ผˆๅทฒ้…็ฝฎๆจกๅž‹๏ผ‰

lightmannet icon lightmannet

๐ŸŒˆ LightmanNet: Micro-Expression Recognition with Meta-Auxiliary Learning

meta-learning-papers-with-code icon meta-learning-papers-with-code

๐ŸŽ‰๐ŸŽจ This repository contains a reading list of papers with code on **Meta-Learning** and ***Meta-Reinforcement-Learning*

metacrl icon metacrl

๐ŸŒˆ The PyTorch implementation of MetaCRL, described in IJCAI 2024 "Hacking Task Confounder in Meta-Learning".

metalearning-lab icon metalearning-lab

๐ŸŒˆ The code and methods offered in Awesome-META+: https://wangjingyao07.github.io/Awesome-Meta-Learning-Platform/

pickballbot-5mao icon pickballbot-5mao

5mao: A reliable, scalable, low cost robot, which can be built and burdened by everyone

road-condition-detection icon road-condition-detection

๐Ÿ˜€๐Ÿ‘ Detect pedestrians, cars, trucks, bicycles and other vehicles on the road where the vehicle is traveling, and issue an alarm

sherlocknet icon sherlocknet

๐ŸŒˆ Official code for "Contrastive Self-Supervised Learning for Robust Handwriting Authentication"

st-f2m icon st-f2m

๐ŸŒˆ Official Code for **Spatio-Temporal Fuzzy-oriented Multi-modal Meta-learning for Fine-grained Emotion Recognition**

video-sa-intro icon video-sa-intro

Samples of Video-SA (Video Data for Multimodal Sentiment Analysis)

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