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Hi there 👋

I received my bachelor’s degree in 2016 and Ph.D. degree in 2021 (advised by Prof. Lifeng Sun) from the Department of Computer Science and Technology at Tsinghua University. My research is mainly focused on federated learning, lifelong/continual learning, and transfer learning during the postgraduate period.

Currently I am a software engineer at DevTech, NVIDIA.

Xin Yao's Projects

apex icon apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

byol-pytorch icon byol-pytorch

PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP

densitypeakcluster icon densitypeakcluster

A python implementation for 'Clustering by fast search and find of density peaks' in science 2014.

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

jittor icon jittor

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

nemo icon nemo

NeMo: a toolkit for conversational AI

pyg-lib icon pyg-lib

Low-Level Graph Neural Network Operators for PyG

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

torch-quiver icon torch-quiver

PyTorch Library for Fast and Easy Distributed Graph Learning

transformerengine icon transformerengine

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

ucore_lab icon ucore_lab

Lab Codes for MOOC OS course in Tsinghua University.

utils icon utils

Some useful utils, e.g., for tfrecords

vision icon vision

Datasets, Transforms and Models specific to Computer Vision

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