Welcome to My Pages :)

I am a PhD student at Wuhan University studying Machine Learning advised by Prof. Juan Liu. My primary reasearch interests lie in Machine Learning, Computational Biology, Retrosynthesis Prediction and Metabolic Pathway Design.

Education

2021- School of Computer Science, Wuhan University, PhD Student

Publications

• An angle-based bi-objective evolutionary algorithm for many-objective optimization
• A new dominance relation based on convergence indicators and niching for many-objective optimization
• Multimodal and multi-objective optimization algorithm based on two-stage search framework
• CNN-based two-branch multi-scale feature extraction network for retrosynthesis prediction
• FingerDTA: a fingerprint-embedding framework for drug-target binding affinity prediction
• DeepRT: Predicting compounds presence in pathway modules and classifying into module classes using deep neural networks based on molecular properties.
• FragDPI: a novel drug-protein interaction prediction model based on fragment understanding and unified coding
• AMTL-RFC: A multi-task learning based method for evaluating the feasibility of enzymatic reactions
• SLPFA: Protein Structure-Label Embedding Attention Network for Protein Function Annotation

Skills

• Program Language：Java, Python, C++, Matlab
• Web Development：HTML/CSS, JavaScript
• Database：MySQL, MongoDB
• Version Control：Git
• Others：Docker

Contacts

GitHub: freddieyang

Google Scholar: https://scholar.google.com/citations?hl=en&user=qrqlRd4AAAAJ&view_op=list_works&sortby=pubdate

Researchgate: https://www.researchgate.net/profile/Feng-Yang-87