Name: Cheng Qian
Type: User
Company: IQVIA Inc.
Bio: I'm a senior machine learning scientist at IQVIA Inc. My research interests include matrix/tensor factorization, optimization, deep learning, etc.
Location: Cambridge, MA
Blog: https://cqian1127.github.io
Cheng Qian's Projects
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Source code for "On the Relationship between Self-Attention and Convolutional Layers"
TensorFlow Implementation of Attentional Factorization Machine
A curated list of community detection research papers with implementations.
Projections of COVID-19, in standardized format
Models of COVID-19 outbreak trajectories and hospital demand
Code for paper "A deep learning framework for drug repurposing via emulating clinical trials on real world patient data" (Accepted to Nature Machine Intelligence).
Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".
Recommender Systems Paperlist that I am interested in
Exploring Self-attention for Image Recognition, CVPR2020.
Several sequential recommended models implemented by tenosrflow1.x
use matlab to simulate Radar detecting distance、speed,in the simulation range_FFT and doppler_FFT are used.
Python codes for low-rank tensor factorization, tensor completion, and tensor regression techniques.
Machine learning for transportation data imputation and prediction.
Weather via the command line.