Dr Shanfeng Hu

Assistant Professor

School: Computer Science

Dr Shanfeng Hu is an Assistant Professor in the School of Computer Science at Northumbria University, Newcastle-upon-Tyne, UK. He earned his PhD from the school in 2020 and joined as a Lecturer soon after. During his PhD from 2018 to 2020, Dr Hu gained practical industry experience as a Senior Data Scientist in the financial sector. His research interests include machine learning, spectral methods, data mining, and AI safety & applications, with funded projects in advanced manufacturing (Innovate UK KTP), supply chain (Digital Catapult, Innovate UK ISCF), and digital health (EU Erasmus+, EU MSCA).

Email Shanfeng

Key Publications

Please visit the Pure Research Information Portal for further information
Proc-to-Spec: A Functorial Map of Network Processes, Hu, S. 12 Feb 2026, In: Transactions on Machine Learning Research
Neural Stick-Breaking for Cascade Forensics, Hu, S. 16 May 2026, KDD '26: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2, New York, ACM
Stein-type Estimator Assisted by Dynamics, Hu, S., Aslam, N. 20 Apr 2026, KDD '26: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, New York, US, ACM
The Cost of Blindness: Indirect Rate-Distortion of Anisotropic Sources, Hu, S., Huang, Y., Huang, Z. 18 Apr 2026, IEEE International Symposium on Information Theory
TOPOMA: Time-Series Orthogonal Projection Operator with Moving Average for Interpretable and Training-Free Anomaly Detection, Hu, S., Huang, Y. 25 Apr 2024, The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2024, Springer

Current and Recent Projects

Please visit the Pure Research Information Portal for further information
KTP 3-D printed Models, Hackney, P. (Principal Investigator), Hu, S. (Co Investigator), Innovate UK, 01/12/21 - 31/03/24, £195,944.00

PGR Supervision

Adewumi Ojuolape Proposed project title: Causal Discovery Using Large Language Models and Data-Driven Graph Search Start Date: 01/10/2023

Qualifications