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Hi there 👋

My name is Paulin, a postgraduate student from SCUT. You can learn more about me from the following keywords and descriptions:

  • 📚 Education: Earn a Bachelor's Degree in 2020 (Ranking: 5/287); Graduating with Academic Masters in 2024 (Ranking: 8/24);
  • 💬 Language: English (en); 中文 (zh);
  • 📄 Research: Deep Learning; Computer Vision; Fine-tuning; Long-tailed Recognition;
  • 🧰 Development: Golang; Python;

✍️ Blog & Personal Website

I maintain a blog website www.lincoding.cn. You can find my articles in there.

🔨 Project

🧠 Artificial Intelligence

  • YuMJie/ConCutMix: A novel data augmentation method for long-tailed reconition, which constructs semantic consistent label for the synthetic samples generated by CutMix.
  • PanHaulin/COIN: A novel two-stage fine-tuning method for improving the performance of self-supervised model on various downstream datasets by supervised contrastive learning.
  • qinyideng/ccl: A novel constrastive complementary labeling strategy, which constructs reliable negative pairs for contrastive learning to enhance existing semi-supervised methods.
  • PanHaulin/CFNPM: An attempt to combine traditional machine learning methods with deep learning based on gradient optimization. Due to a change in research direction, it has been temporarily put on hold.

🌐 Web

  • PanHaulin/KV-Server (MIT-6.824): The implementation of experiments of the course MIT-6.824. Considering the course requirements, only docutments about important designs are provided. In addition, a logging plugin is provided to assist with debugging.
  • PanHaulin/Go-Cloud-Storage: A cloud storage service implemented using the Gin, which has currently completed basic file transfer and storage features. More features will be added latter.
  • PanHaulin/Markdown-Note-WeApp: *A Markdown based note wechat mini program, which is easier to record than traditional note software, and easier to read than system sticky notes. Only the codes that I code with js are provided.
  • PanHaulin/EDET: An epidemic dynamic evaluation and tracking system. Only a brief design document is provided here.

🗂️ Others

  • PanHaulin/Course-Demo: Some demo implemented in response to course requirements, including a odd-even-sort mpi demo, a demo for solving mathematical problems based on seq2seq language model, a demo to calculate the number of combinations, and so on.
  • PanHaulin/Paper-Reproduction: the Archives of paper reproduction results.
  • Supply-Chain-Demand-Forecasting: The code for competition of CCF-BDCI 2018 (Not Opensource).

🔧 Technologies & Tools

Go Python
MySQL Redis
PyTorch PyTorch-Lightning scikit-learn NumPy pandas
Kafka Gin Gorm gPRC
Git VSCode
Linux Docker Kubernetes

Paulin's Projects

coin icon coin

About This repository is the official implementation of "Improving Fine-tuning of Self-supervised Models with Contrastive Initialization".

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