Biography
Hi! I am a 3rd-year CS Ph.D. student at the University of Sheffield and supervised by Prof. Haiping Lu. My research focuses on domain transferability challenge arising from machine learning (esp. graph-based methods) adoption in real-world drug discovery. I am contributing to the development of open source PyKale Library and Sheffield AI Turing Network.
Interests
- Deep Representation Learning
- Graph Neural Networks
- Knowledge Graph in Drug Discovery
Education
PhD in Machine Learning, 2021 - present
University of Sheffield
MSc in Data Analytics, 2016 - 2017
University of Sheffield
BSc in Information System and Management, 2012 - 2016
Sun Yat-sen University
Publications
(2023).
Geometry-aware Line Graph Transformer Pre-training for Molecular Property Prediction.
ArXiv Preprint arXiv:2309.00483.
(2023).
Interpretable bilinear attention network with domain adaptation improves drug-target prediction.
Nature Machine Intelligence.
(2022).
GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs.
Pattern Recognition.
(2022).
PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python.
Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM).
(2021).
Hierarchical Clustering Split for Low-Bias Evaluation of Drug-Target Interaction Prediction.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
(2019).
Joint interaction with context operation for collaborative filtering.
Pattern Recognition.
Experience
PhD Student in Machine Learning
Department of Computer Science, University of Sheffield
Part-time Research Software Engineer
Department of Computer Science, University of Sheffield
Data Curation Lead
AI/ML Siri Team, Apple
MSc in Data Analytics
Department of Computer Science, University of Sheffield
BSc in Information System and Management
School of Information Management, Sun Yat-sen University
Contact
- pbai2@sheffield.ac.uk
- Regent Court, 211 Portobello, Sheffield, S1 4DP