Name: Maosen Li
Type: User
Company: Shanghai Jiao Tong University
Bio: A phD. candidate in SJTU, 2017-.
My advisors are Prof. Ya Zhang and Dr. Siheng Chen. My study focuses on machine learning on graphs.
Location: Minhang, Shanghai, China
Blog: limaosen0.github.io
Maosen Li's Projects
The model architecture of AS-GCN (for human action recognition)
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
The implementation of DMGNN
Pytorch implementation of Graph U-Nets (ICML19)
Graph Cross Network
It is my first repository on github for a programming beginning.
Junction Tree Variational AutoEncoder Implementation Attempt
BY Blog ->
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
Code for "Collaborative Motion Prediction via Neural Motion Message Passing", CVPR 2020 Oral
Neural relational inference for interacting systems - pytorch
The interesting papers read are shared here.
Learn some basic distributions and try to sample an array of samples from the distributions, including Gaussian, Beta, Gamma and Laplace.
This is the assignment code of our course in Shanghai Jiao Tong University, which is called Neural Network Principles and Application. There are several sub-assignments, so that I would upgrade the code once I finished each one.
This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.