Hello, I'm
Hao Tan 谭浩
PhD Candidate in Computer Science
University of Leeds
About
Currently, I am a Ph.D. candidate with the School of Computer Science at the University of Leeds, UK with expected graduation in July 2026, specializing in Deep Learning Model Fusion and Multi-Task Learning. I received the B.Eng. degree in Computer Science and Engineering from Southern University of Science and Technology (SUSTech), China in 2020. Prior to my doctoral studies, I researched in Neural Architecture Search and evolutionary computation at SUSTech. I am deep into AI applications and finance investment.
Education
University of Leeds
Doctor of Philosophy — Computer Science
PhD programme under the supervision of
Dr. Nabi Omidvar and
Prof. Netta Cohen.
Thesis: Fusion Strategies for Cascading, Merging, and Multi-Tasking Deep Models
Southern University of Science and Technology
B.Eng. — Computer Science and Technology
Thesis: Neural Architecture Search Based on Differential Evolution
Experience
Research Assistant
SUSTech — Dept. of Computer Science and Engineering
Key member responsible for developing neural architecture search algorithms. Collaborated with industry partners to design lightweight neural architectures tailored for microchip hardware constraints. Implemented evolutionary algorithms in PyTorch to automate network architecture optimization, achieving state-of-the-art performance.
Publications & Patents
Journal Articles
Efficient Evolutionary Neural Architecture Search by Modular Inheritable Crossover
Swarm and Evolutionary Computation (SWEVO), 2021
Conference Papers
Efficient Evolutionary Neural Architecture Search by Modular Inheritable Crossover
International Conference on Bio-inspired Computing: Theories and Applications (BIC-TA), 2019
🏆 Best Paper AwardPatents
A Neural Architecture Search Method and System based on Evolutionary Learning
International Patent, PCT/CN2020/136950, filed June 23, 2022
Honours & Awards
SUSTech – University of Leeds Studentship
Best Paper Award
BIC-TA 2019 — International Conference on Bio-inspired Computing: Theories and Applications
Get in Touch
I'm always open to discussing research, collaborations, or opportunities in AI and technology.