Qiyu Wei 魏启宇

Ph.D student.

University of Manchester

Biography

I am a PhD student with the Department of Computer Science, The University of Manchester, under the supervision of Dr. Mauricio Alvarez and Prof. Richard Allmendinger. My research interests include Probabilistic Machine Learning, Bayesian Optimization, and LLM agents. Prior to my enrollment at UoM, I earned my Master’s degree from Shanghai University. I worked as a Research Assistant (Supported by SIPGA scholarship) at the Institute of Infocomm Research, A*Star, Singapore in 2023.

Interests

Statistical Machine Learning
Bayesian Optimization
LLM agents

Education

PhD, 2024-2028 (Expected)
University of Manchester
MSc, 2021-2024
Shanghai University
BEng, 2017-2021
Nanjing University of Posts and Telecommunications

Experience

Intern

ISE, NUS

February 2022 – August 2024 Singapore (Remote)

Supervised by Dr. Haowei Wang.

Research Interests include:

Bayesian Optimization.

Research Assistant

I2R, A*star

July 2023 – January 2024 Singapore

Supervised by Dr. Xulei Yang.

Supported by SIPGA scholarship.

Research Interests include:

Semi-supervised algorithm in semiconductor defect detection.
3D machine learning in semiconductor data.

Recent Publications

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Haowei Wang, Jingyi Wang, Qiyu Wei 魏启宇 (2026). Regret-Based ($\epsilon, \delta$)-optimal Stopping Criteria for Bayesian Optimization. arXiv.

Qiyu Wei 魏启宇, Haowei Wang, Richard Allmendinger, Mauricio A. Álvarez (2026). Counterfactual Credit Guided Bayesian Optimization. In AISTATS.

Xin Zhang, Qiyu Wei 魏启宇, Yingjie Zhu, Fanyi Wu, Sophia Ananiadou (2025). THCM-CAL: Temporal-Hierarchical Causal Modelling with Conformal Calibration for Clinical Risk Prediction. In Findings of EMNLP.

Xin Zhang, Qiyu Wei 魏启宇, Yingjie Zhu, Linhai Zhang, Deyu Zhou, Sophia Ananiadou (2025). SynGraph: A Dynamic Graph-LLM Synthesis Framework for Sparse Streaming User Sentiment Modeling. In Findings of ACL.

Qiyu Wei 魏启宇, Haowei Wang, Zirui Cao, Songhao Wang, Richard Allmendinger, Mauricio A. Álvarez (2025). Gradient-based Sample Selection for Faster Bayesian Optimization. arXiv.

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