Shiqiao Zhou

Not pleased by external gains, not saddened by personal losses

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About me

Greetings! I am a third year Computer Science PhD Candidate at University of Birmingham, where I am co-supervised by Assoc. Prof. Shuo Wang, Assoc. Prof. Grant Wilson and Dr. Schoener Holger (Siemens). Before that, I obtained my master’s degree from the Australian National University and my bachelor’s degree from Nanjing University of Science and Technology.

I am passionate about a wide range of topics in CS, including time series forecasting, RAG, Agent, and multi-modal learning. My current main focus is leveraging external inforamtion for time series forecasting. If you are also interested in this topic, feel free to email me anytime.

Current Research Focuses

(1) Time series forecasting, including multi-modal forecasting and context-informaed forecasting.
(2) Retrieval-Augmented Generation (RAG), including RAG in time series and LLM.
(3) Machine learning applications in complex real-world data, including building energy analysis.

news

Jun 10, 2026 One paper has been accepted to the ICML 2026 AI Forecasting Workshop.
May 16, 2026 One paper has been accepted to the KDD 2026 Research Track.
Apr 30, 2026 One paper has been accepted to the ICML 2026 Main Track.
Aug 5, 2025 One paper has been accepted to the CIKM 2025 Main Track.
Jul 1, 2025 One journal paper has been accepted to the Energy and Buildings