Xunzhao Yu

About me

Ph.D. in Computer Science.

Research Interests

• Machine Learning, including deep learning, meta-learning.
• Optimization, including Bayesian optimization, evolutionary computation.
• Statistical Learning and Stochastic Processes.

Education

• Ph.D., Computer Science (AI, Optimization, Machine Learning), University of Birmingham.
• B.Sc., Computer Science & Technology, Nanjing University.

Academic Service

• Program Committee Member for conferences such as ICLR and AAAI.
• Peer Reviewer for journals such as IEEE TEVC, IEEE TCYB, and Applied Energy.

Publications

• Yu, XunZhao, "FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective Optimization."

Advances in Neural Information Processing Systems 39 (NeurIPS’25). Accepted, to appear.

• Yu, XunZhao, et al. "Engine Calibration with Surrogate-Assisted Bilevel Evolutionary Algorithm."

IEEE Transactions on Cybernetics, 54.6 (2023): 3832-3845.

• Yu, XunZhao, et al. "Internal Combustion Engine Calibration Using Optimization Algorithms."

Applied Energy, 305 (2022): 117894.

• Yu, XunZhao, et al. "Domination-Based Ordinal Regression for Expensive Multi-Objective Optimization."

in Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence (SSCI’19), 2058-2065.

Working Papers

• Yu, XunZhao and Li, MiQing, "LORA-MaOO: Learning Ordinal Relations and Angles for Expensive Many-Objective Optimization."

Teaching Experience

TA for several modules at School of Computer Science, University of Birmingham.

• 06-32235: Nature-Inspired Search and Optimisation, MSc Advanced Computer Science. Spring 2020.
• 06-27112: Introduction to Artificial Intelligence, MSc Computer Science. Spring 2020.
• 06-20236: Machine Learning, MSc Advanced Computer Science. Fall 2019.
• 06-21923: Databases, MSc Computer Science. Fall 2019.
• 06-30173: Artificial Intelligence, BSc Computer Science. Spring 2019.
• 06-19340: Computer Systems and Architecture, BSc Computer Science. Fall 2018.