Yan's Projects
Pengrui Zeng's Zhejiang University research project about coding algorithms of SVM, LR(Federated learning), K-means
🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️
A 3D CNN Network with BERT For Automatic COVID-19 Diagnosis From CT-Scan Images (https://arxiv.org/abs/2106.14403)
https://acl2023-retrieval-lm.github.io/
active learning for sequence-to-sequence model using RL
游戏后台管理系统
This is the repository for ALEX: Augmentation and Large language model methods for EXplainable social media analysis about public health.
Given a web API, Generate client libraries in node, php, python, ruby
Instruct-tune LLaMA on consumer hardware
Latex template for AMIA submissions (originally by Antonio Jimeno Yepes)
A novel embedding training algorithm leveraging ANN search and achieved SOTA retrieval on Trec DL 2019 and OpenQA benchmarks
Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03299)
Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
Awesome Papers About Performing Prompting On Graphs
Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
A repository contains a collection of resources and papers on Imbalance Learning On Graphs
Papers about large graph models.
Awesome literature on imbalanced learning on graphs
Awesome-LLM-Eval: a curated list of tools, demos, papers, docs for Evaluation on Large Language Models like ChatGPT, LLaMA, GLM
A curated list of popular Datasets, Models and Papers for LLMs in Medical/Healthcare
A curated list for awesome self-supervised learning for graphs.
Collection of awesome test-time (domain/batch/instance) adaptation methods
[ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角改善类别不平衡节点分类
In Brazil, grades from the National Secondary Education Examination - Enem are used for access to federal public universities. In addition to the grades, the microdata of this exam has a large amount of information about the students enrolled in the tests that can be used to carry out various analyzes of student performance. Due to the tens of giga
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Repository for benchmarking graph neural networks
TensorFlow code and pre-trained models for BERT
使用Bert,ERNIE,进行中文文本分类