Richard M. Jiang

Orcid: 0000-0001-6994-7348

Affiliations:
  • University of California, Santa Barbara, Department of Computer Science, CA, USA


According to our database1, Richard M. Jiang authored at least 8 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods.
PLoS Comput. Biol., 2022

Robust and integrative Bayesian neural networks for likelihood-free parameter inference.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators.
BMC Bioinform., 2021

Associations of longitudinal D-Dimer and Factor II on early trauma survival risk.
BMC Bioinform., 2021

Epidemiological modeling in StochSS Live!
Bioinform., 2021

2020
Scalable Bayesian Functional Connectivity Inference for Multi-Electrode Array Recordings.
CoRR, 2020

2017
Understanding Coagulopathy using Multi-view Data in the Presence of Sub-Cohorts: A Hierarchical Subspace Approach.
Proceedings of the Machine Learning for Health Care Conference, 2017

Survival Topic Models for Predicting Outcomes for Trauma Patients.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017


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