Currently my research is mainly focused on applications of deep learning in microbiome data mining.

Hui Chong, Qingyang Yu, Yuguo Zha, Guangzhou Xiong, Nan Wang, Chuqing Sun, Sicheng Wu, Weihua Chen, Kang Ning Enabling technology for microbial source tracking based on transfer learning: From ontology-aware general knowledge to context-aware expert systems.. In: BioRxiv preprint 2020
[Link] [Code]

Yuguo Zha, Hui Chong, Hao Qiu, Kai Kang, Yuzheng Dun, Zhixue Chen, Xuefeng Cui, Kang Ning Ontology-Aware Deep Learning Enables Ultrafast, Accurate and Interpretable Source Tracking among Sub-Million Microbial Community Samples from Hundreds of Niches. In: BioRxiv preprint 2020
[Link] [Code]

Kai Kang, Hui Chong, Kang Ning Meta-Prism 2.0: Enabling algorithm for ultra-fast, accurate and memory-efficient search among millions of microbial community samples. In: BioRxiv preprint 2020
[Link] [Code]

Maozhen Han, Yuguo Zha, Hui Chong, Chaofang Zhong, Kang Ning Utilizing microbiome approaches to assist source tracking, treatment and prevention of COVID-19: Review and assessment. In: Computational and structural biotechnology journal 2020
[Link]

Thanks to Vasilios Mavroudis for the template!