Name: Haolun Wu
Type: User
Company: McGill, Mila - Quebec AI Institute
Bio: Ph.D. candiate at Mila - Quebec AI Institute & @mcgill-cpslab. Research Intern @Google Mountain View.
Twitter: Haolun_Wu0203
Location: Chengdu, Montreal
Blog: https://mila.quebec/en/person/haolun-wu/
Haolun Wu's Projects
allRank is a framework for training learning-to-rank neural models based on PyTorch.
A collection of resources and papers on Diffusion Models
A curated list of Generative Recommender Systems (Paper & Code)
A curated list of resources about generative flow networks (GFlowNets).
Fair Benchmarks
Repository for benchmarking graph neural networks
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
100+ Chinese Word Vectors 上百种预训练中文词向量
Contrastive Language-Image Pretraining
Define a two-side fairness metric in RS. Also enhance the quality of recommendation on other aspects (recall, nDCG, interpretability).
Statistics of acceptance rate for the main AI conference
Relevant papers in Continual Learning
PyTorch implement of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf
Resources for Data Centric AI
DeepWalk - Deep Learning for Graphs
Adaptive Denoising Training (ADT) for Recommendation.
Disk-SNAKE
Dynamic Fair Rankings
An Easy-to-use Knowledge Editing Framework for LLMs.
Example of professional website
On the Robustness and Discriminative Power of Information Retrieval Metrics for Top-N Recommendation
Coding challenge for Facebook