YIHAO FANG

PeerJ Reviewer

Summary

Phd. in statistics from the University of Notre Dame, now working at AI Reaearch Institute at JP Morgan Chase.
Google scholar: https://scholar.google.com/citations?user=7mZwf-kAAAAJ&hl=en&authuser=1

Data Mining & Machine Learning Neural Networks Statistics

Past or current institution affiliations

Notre Dame University

Work details

Research Assistant

Notre Dame University

August 2018 - May 2023

ACMS

PeerJ Contributions

Reviewed 3

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

February 8, 2024

Data-driven detection of age-related arbitrary monotonic changes in single-cell gene expression distributions

Jian Hao Cheng, Daigo Okada

https://doi.org/10.7717/peerj.16851 PubMed 38344300

January 18, 2024

Decomposition aided attention-based recurrent neural networks for multistep ahead time-series forecasting of renewable power generation

Robertas Damaševičius, Luka Jovanovic, Aleksandar Petrovic, Miodrag Zivkovic, Nebojsa Bacanin, Dejan Jovanovic, Milos Antonijevic

https://doi.org/10.7717/peerj-cs.1795

December 11, 2023

A deep learning method for drug-target affinity prediction based on sequence interaction information mining

Mingjian Jiang, Yunchang Shao, Yuanyuan Zhang, Wei Zhou, Shunpeng Pang

https://doi.org/10.7717/peerj.16625 PubMed 38099302