wusw14
I am WU, Shiwen (吴史文), major in CSE, RPG student at HKUST.
The Hong Kong University of Science and TechnologyHong Kong
Pinned Repositories
APSPR
awesome-fairness-in-ai
A curated list of awesome Fairness in AI resources
awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
awesome-text-summarization
The guide to tackle with the Text Summarization
Chinese-Word-Vectors
100+ Chinese Word Vectors 上百种预训练中文词向量
CLER
compass
Gaussian-Graphical-Model
term project for Bayesian Theory and Algorithms
GNN-in-RS
sample_selection
wusw14's Repositories
wusw14/GNN-in-RS
wusw14/CLER
wusw14/sample_selection
wusw14/APSPR
wusw14/awesome-fairness-in-ai
A curated list of awesome Fairness in AI resources
wusw14/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
wusw14/awesome-text-summarization
The guide to tackle with the Text Summarization
wusw14/Chinese-Word-Vectors
100+ Chinese Word Vectors 上百种预训练中文词向量
wusw14/compass
wusw14/Gaussian-Graphical-Model
term project for Bayesian Theory and Algorithms
wusw14/Knowledge-Graph-Tutorials-and-Papers
Insightful Tutorials and Papers about Knowledge Graphs
wusw14/macro_ML
Course Website on Macroeconomic Analysis with Machine Learning and Big Data
wusw14/multidoc_summarization
Code for the EMNLP 2018 paper "Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization"
wusw14/pointer-generator
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
wusw14/Reading_Group
DMALab's reading group slides and papers.
wusw14/RecommenderSystems
wusw14/strsum
A code for "Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking" in ACL2019
wusw14/Text-Summarization-Papers
An Exhaustive Paper List for Text Summarization
wusw14/Unsupervised-Aspect-Extraction
Code for acl2017 paper "An unsupervised neural attention model for aspect extraction"
wusw14/vae
a simple vae and cvae from keras
wusw14/wusw14.github.io
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