Cutting Disorderedly Linked Biological Sequences

Shanghai Jiao Tong University School of Medicine

Designed algorithms to determine optimal cutting points in chemically disordered sequences and reconstruct reference genomes for downstream analysis.

Machine Learning for Microbial Abundance in Water

The Hong Kong Polytechnic University

Built rapid, cost-effective models to profile microbial communities across diverse water environments, replacing expensive omics assays and producing water contamination risk indices.

Published as: Yiwen Yang, Shuang Cai, Chunhao Mo, Junjie Dong, Sheng Chen, Zhiguo Wen. Communications Earth & Environment, 2025-02-27. [DOI: 10.1038/s43247-025-02139-x]

Clustering Typical Scenarios in Power Generation

Nanjing Institute of Technology

Constructed a TAE-based model to recognise representative photovoltaic scenarios, optimise circuit configurations, and reduce transmission costs.