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ORCIDRichard M. Jiang 0002
Person information
- affiliation: University of California, Santa Barbara, Department of Computer Science, CA, USA
Other persons with the same name
- Richard Jiang 0001
![[0000-0003-1721-9474]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1721-9474")
(aka: Richard M. Jiang 0001) — Lancaster University, School of Computing & Communications, UK (and 7 more)
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2020 – today
- 2022
[j4]Richard M. Jiang, Prashant Singh, Fredrik Wrede, Andreas Hellander, Linda R. Petzold:
Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods. PLoS Comput. Biol. 18(1) (2022)- [c3]Fredrik Wrede, Robin Eriksson, Richard M. Jiang, Linda R. Petzold, Stefan Engblom, Andreas Hellander, Prashant Singh:
Robust and integrative Bayesian neural networks for likelihood-free parameter inference. IJCNN 2022: 1-10 - 2021
- [j3]Richard M. Jiang, Bruno Jacob, Matthew Geiger, Sean Matthew, Bryan Rumsey, Prashant Singh, Fredrik Wrede, Tau-Mu Yi, Brian Drawert, Andreas Hellander, Linda R. Petzold:
Epidemiological modeling in StochSS Live! Bioinform. 37(17): 2787-2788 (2021) - [j2]Richard M. Jiang, Arya A. Pourzanjani, Mitchell J. Cohen, Linda R. Petzold:
Associations of longitudinal D-Dimer and Factor II on early trauma survival risk. BMC Bioinform. 22(1): 122 (2021) - [j1]Richard M. Jiang, Fredrik Wrede, Prashant Singh, Andreas Hellander, Linda R. Petzold:
Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators. BMC Bioinform. 22(1): 339 (2021) - [i2]Fredrik Wrede, Robin Eriksson, Richard M. Jiang, Linda R. Petzold, Stefan Engblom, Andreas Hellander, Prashant Singh:
Robust and integrative Bayesian neural networks for likelihood-free parameter inference. CoRR abs/2102.06521 (2021) - 2020
- [i1]Yun Zhao, Richard M. Jiang, Zhenni Xu, Elmer Guzman, Paul K. Hansma, Linda R. Petzold:
Scalable Bayesian Functional Connectivity Inference for Multi-Electrode Array Recordings. CoRR abs/2007.02198 (2020)
2010 – 2019
- 2017
- [c2]Yuanyang Zhang, Richard M. Jiang, Linda R. Petzold:
Survival Topic Models for Predicting Outcomes for Trauma Patients. ICDE 2017: 1497-1504 - [c1]Arya A. Pourzanjani, Tie Bo Wu, Richard M. Jiang, Mitchell J. Cohen, Linda R. Petzold:
Understanding Coagulopathy using Multi-view Data in the Presence of Sub-Cohorts: A Hierarchical Subspace Approach. MLHC 2017: 338-351
Coauthor Index
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