Richard Annan

According to our database, Richard Annan authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Genomic privacy and security in the era of artificial intelligence and quantum computing.

Richard Annan, Justin Noland, Kamaria Perkins, Xiaohong Yuan, Kaushik Roy, Letu Qingge

Discov. Comput., December, 2025

A data-driven sliding-window pairwise comparative approach for the estimation of transmission fitness of SARS-CoV-2 variants and construction of the evolution fitness landscape.

Md Jubair Pantho, Richard Annan, Landen Alexander Bauder, Sophia Huang, Letu Qingge, Hong Qin

Quant. Biol., 2025

Generative AI Models for the Protein Scaffold Filling Problem.

Letu Qingge, Kushal Badal, Richard Annan, Jordan Sturtz, Xiaowen Liu, Binhai Zhu

J. Comput. Biol., 2025

Artificial intelligence in COVID-19 research: A comprehensive survey of innovations, challenges, and future directions.

Richard Annan, Letu Qingge

Comput. Sci. Rev., 2025

2024

Explainable convolutional neural network model provides an alternative genome-wide association perspective on mutations in SARS-CoV-2.

Parisa Hatami, Richard Annan, Luis Urias Miranda, Jane Gorman, Mengjun Xie, Letu Qingge, Hong Qin

CoRR, 2024

Explainable Convolutional Neural Network for Phenotype Prediction from Genotype.

Maxwell Sam, Richard Annan, Pei Yang, Mohd Anwar, Kristen L. Rhinehardt, Letu Qingge

Proceedings of the IEEE International Conference on E-health Networking, 2024

Federated Learning for COVID-19 Detection: Optimized Ensemble Weighting and Knowledge Distillation.

Richard Annan, Letu Qingge

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Efficient Federated Learning with Multi-Teacher Knowledge Distillation for COVID-19 Detection.

Richard Annan, Hong Qin, Xiaohong Yuan, Kaushik Roy, Robert H. Newman, Letu Qingge

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2023

A Convolutional Denoising Autoencoder for Protein Scaffold Filling.

Jordan Sturtz, Richard Annan, Binhai Zhu, Xiaowen Liu, Letu Qingge

Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023

Machine Learning Models for Phenotype Prediction from Genotype.

Richard Annan, Letu Qingge, Pei Yang

Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023