Qinshuo Liu

I am a fourth-year PhD student supervised by Prof. Guodong Li at the Department of Statistics and Actuarial Science in HKU. I completed my Bachelor's degree at Yuanpei College of Peking University in 2021, where I developed a strong interest in deep learning research.

My research focuses on deep learning, integral equations, computer vision, time series forecasting, and sequential modeling. I have published several papers in prestigious machine learning conferences, including ICLR and ICML. My recent work emphasizes sequential research, including sequential data and modeling. Additionally, I serve as a reviewer for ICML and NeurIPS.

At Peking University, I pursued a degree in the Data Science and Big Data Technology Program, studying under Prof. Zhi Geng at the School of Mathematical Sciences. From 2021 to 2022, I worked with Dr. Zhonghua Liu on applying deep learning methods to solve integral equations in statistical problems at the Department of Biostatistics at Columbia University. I later joined Prof. Guodong Li to focus on time series forecasting and expanded my research to include sequential studies.

Furthermore, I have taught tutorials for two courses: Probability and Statistics and Advanced Statistical Inference.