Name: Hong Qin
Type: User
Company: University of Tennessee at Chattanooga
Bio: artificial intelligence, machine learning, health science, public health, data science, computational biology, mathematical biology
Twitter: hongqin
Location: Chattanooga, TN, U.S.A.
Blog: https://www.youtube.com/c/hongqin
Hong Qin's Projects
https://hackathon-planning-kit.org/
A developers guide to HIPAA compliance and application development.
Quick, visual, principled introduction to pytorch code through five colab notebooks.
iDeepMV is designed to predict which RBPs an unexplored RNA can bind to. It integrates multi-view feature learning, deep feature learning, and multi-label classification technology for RBP recognition. First, based on the raw RNA sequences, we extracted the amino acid sequence view’s data and the dipeptide component view’s data; Then, for the data from different views, we design deep neural network models of the respective views to learn the deep features, and the extracted deep features are further used to train multi-label classifiers that can effectively take the correlation of the labels into account; Finally, the voting mechanism is used to make a multi-view comprehensive decision on the results of each view to further improve the prediction accuracy.
Talks and notebooks for my sessions during IEEE's Quantum Week 2020 (October 12-16, 2020), see https://qce.quantum.ieee.org/tutorials/#tut-asfaw
Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection
NVIDIA PyTorch GAN library with distributed and mixed precision support
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Introduction to Machine Learning
Scientific Computing with Python
Triple negative breast cancer proteomic data set
DGL tutorial in KDD 2019
Code for the hands on tutorial on Deep Learning with Keras that I attended at KDD 2018.
Tutorials website compiled for KDD 2020
Tutorial on Automated Machine Learning at KDD 2020
KDD 2020 Workshop
Website for KDD 2020 Tutorial on User-centric xai for healthcare
Rmd source files for the HarvardX series PH525x
Lifespan_Gompertz_contour_plot in R
R package for integrating and analyzing multiple single-cell datasets
PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis
Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.