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Hi, I am Junwei Deng

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šŸ“šļø Ph.D. Student in Information Sciences from 2023 Fall @UIUC.
šŸ‘ØšŸ½ā€šŸ’» AI Frameworks Engineer @Intel @AI in Intel, 2020-2023.
šŸ« M.S. in Information @Umich, 2019-2021.
šŸ« B.Eng. in Electrical and Computer Engineering @SJTU, 2016-2020.
šŸ’” I am interested in Trustworth ML, Data-centric Machine Learning and the technical solutions to assist AI policymakers.
ā„¹ļø More information please refer to my personal website and google scholar.

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Junwei Deng's Projects

analytics-zoo icon analytics-zoo

Distributed Tensorflow, Keras, PyTorch and Ray on Apache Spark

anomalib icon anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

autoformer icon autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

awesome-automl-papers icon awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

bgcn icon bgcn

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

bigdl icon bigdl

BigDL: Distributed Deep Learning Framework for Apache Spark

data icon data

Data and code behind the articles and graphics at FiveThirtyEight

gnn-attack-infmax icon gnn-attack-infmax

Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem

informer2020 icon informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

pakku.js icon pakku.js

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pygcn icon pygcn

Graph Convolutional Networks in PyTorch

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