Skip To Main Content
Zhiwu Zhang on Muck Rack

Zhiwu Zhang

Washington State University
As seen in: Nature, Wiley Online Library, MDPI, Taylor & Francis Online, BMC Genomics, BMC Psychology, Cell Press, Future Medicine
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Zhiwu

Contact Zhiwu, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Harnessing citizen science to contextualize adaptation mechanism discovery

|
By Laura E. Tibbs-Cortes, Linqian Han, Jeremy Jewell, Puranjit Singh, Haiyan Huang, Ryan Benke, Tony Trieu, Zhou Tang, Soyeon Choi, Jianxin Zhao, Eudald Illa Berenguer, Thomas H. Pendergast, Bing Liu, Tina N. Le, Kankshita Swaminathan, Xiaoyu Weng, Carson M. Andorf, Michelle Graham, Karen A. Sanguinet, Zhiwu Zhang, Laura Bartley, Yin Bao, Wayne Parrott, Katrien Devos, Thomas Juenger, Jianming Yu, Xianran Li
| Cell Press Verified
Keywords phenotypic plasticity citizen science common garden experiment adaptation switchgrass haplotype range flowering time GI Hd1 FTL1 Introduction Understanding adaptations and range dynamics for species occupying a broad geographic area requires profiling, characterizing, and then integrating polymorphisms of regulatory genes, environmental conditions, and phenological characteristics from native habitats.1 Of these three components, profiling polymorphisms of regulatory genes can be...
Open in Who Shared Issue with article?

AI4EVER: A Graphical Deep Learning Platform for GWAS-Informed Genomic Prediction

|
By Meijing Liang, Yang Hu, Zhiwu Zhang
| Preprints.org
Summary: The potential of deep learning (DL) in genomic selection (GS) is constrained by the significant technical expertise required to design and implement neural networks. While DL has revolutionized fields like language processing and structural biology, its application in GS has not yet consistently outperformed traditional models like mixed linear models.
Open in Who Shared Issue with article?

Tragic love: AI’s emotionless system and the absence of human emotions - Humanities and Social Sciences Communications

|
By Zhiwu Zhang
| Nature Verified
Abstract The emotional system of artificial intelligence (AI) is being increasingly woven into the emotional tapestry of human society, prompting widespread discourse on the essence, technological frontiers, and ethical ramifications of emotion. In this study, the potential and constraints of AI replicating and augmenting human emotions is investigated.
Open in Who Shared Issue with article?
See all 12 articles