Name: Xing Shen
Type: User
Company: McGill University; Mila - Quebec AI Institute
Bio: M.Sc. student researcher at Mila - Quebec AI Institute and McGill University. Focusing on crucial machine learning challenges in healthcare.
Location: Montreal, QC, Canada
Blog: https://xingbpshen.github.io
Xing Shen's Projects
Learning materials for algorithm
Use deep learning strategy to detect food burnt event in advance
A [Genshin Impact] artifacts enhancement predictor. 一个【原神】圣遗物强化预测工具。
The unprecedented online artifact enhancement predictor for [Genshin Impact].
The official implementation of the paper "Verbalized Probabilistic Graphical Modeling with Large Language Models".
Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"
Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".
Domain adaptation on cancer cell line data (GDSC and CTRP) with the Domain Adaptation Neural Network.
Denoising Diffusion Implicit Models
disentanglement_lib is an open-source library for research on learning disentangled representations.
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Labelled image dataset for door and handle detection.
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
High-Resolution Image Synthesis with Latent Diffusion Models
Work in progress, official implementation of the paper "Learning Causal Representations for Image-based Treatment Effect Prediction".
Latex template for the MIDL Conference
ML Collections is a library of Python Collections designed for ML use cases.
The Drug Response Prediction 2022 project in Computational Biology and Artificial Intelligence (COMBINE) Laboratory, McGill University.
The official implementation of the paper "Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles".
PyTorch version