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ORCIDHao Sha 0003
Person information
- affiliation: Indiana University Purdue University Indianapolis, Indianapolis, Indiana, USA
Other persons with the same name
- Hao Sha — disambiguation page
- Hao Sha 0001
![[0000-0002-3231-1570]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3231-1570")
— Harbin Institute of Technology, Shenzhen, China - Hao Sha 0002 — Zhejiang University, Zhejiang, China
- Hao Sha 0004 — Beijing Institute of Technology, Beijing, China
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2020 – today
- 2021
[j2]Hao Sha, Mohammad Al Hasan, George O. Mohler:
Learning network event sequences using long short-term memory and second-order statistic loss. Stat. Anal. Data Min. 14(1): 61-73 (2021)- [c7]Hao Sha, Mohammad Al Hasan, George O. Mohler:
Source detection on networks using spatial temporal graph convolutional networks. DSAA 2021: 1-11 - [c6]Hao Sha, Mohammad Al Hasan, George O. Mohler:
Group Link Prediction Using Conditional Variational Autoencoder. ICWSM 2021: 656-667 - 2020
- [c5]Johnson Wong, Hao Sha, Mohammad Al Hasan, George O. Mohler, Steve Becker, Curtis Wiltse:
Automated Corn Ear Height Prediction Using Video-Based Deep Learning. IEEE BigData 2020: 2371-2374 - [c4]Hao Sha, Mohammad Al Hasan, Jeremy G. Carter, George O. Mohler:
Interpretable Hawkes Process Spatial Crime Forecasting with TV-Regularization. IEEE BigData 2020: 3228-3236 - [c3]Hao Sha, Mohammad Al Hasan, George O. Mohler, P. Jeffrey Brantingham:
Dynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives. ICWSM Workshops 2020 - [i1]Hao Sha, Mohammad Al Hasan, George O. Mohler, P. Jeffrey Brantingham:
Dynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives. CoRR abs/2004.11692 (2020)
2010 – 2019
- 2019
- [c2]Andrew Stanhope, Hao Sha, Danielle Barman, Mohammad Al Hasan, George O. Mohler:
Group Link Prediction. IEEE BigData 2019: 3045-3052 - 2018
- [c1]Andrew Baas, Frances Hung, Hao Sha, Mohammad Al Hasan, George O. Mohler:
Predicting Virality on Networks Using Local Graphlet Frequency Distribution. IEEE BigData 2018: 2475-2482 - 2017
- [j1]Hao Sha, Fangqiang Zhu:
Parameter Optimization for Interaction between C-Terminal Domains of HIV-1 Capsid Protein. J. Chem. Inf. Model. 57(5): 1134-1141 (2017)
Coauthor Index
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