Hui Xiong
Hui Xiong researches AI and data mining. He earned a doctorate at Minnesota and held earlier research roles at Rutgers and Baidu. He coauthored Informer, a transformer-based model for long time-series forecasts, with six other researchers. The work received an AAAI paper award in 2021. He taught data mining at HKUST Guangzhou in 2022 and 2023, and AAAI elected him a Fellow in 2025.
- Now at
- HKUST (Guangzhou)
- Works
- 2,725
- Citations
- 49,278
- h-index
- 88
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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Academic research career
Data mining and university work
Xiong earned a computer-science doctorate at Minnesota and held earlier research roles at Rutgers and Baidu. He taught Rutgers computing and data-mining courses from 2005 onward.
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2020–2021
The shared Informer model
Xiong coauthored Informer with Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li and Wancai Zhang. Informer uses attention and decoding methods for long-sequence forecasting. The team received an AAAI 2021 paper award.
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2022–2023
Teaching at HKUST Guangzhou
Xiong taught Foundations of Data Mining and cross-disciplinary research at HKUST Guangzhou in autumn 2022 and 2023. He leads the AI thrust and a lab.
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2025
AAAI fellowship
AAAI elected Xiong a Fellow in 2025. Xiong researches AI, data mining and mobile computing.
Sources and credits
Photo: ailab.hkust-gz.edu.cn; Hui Xiong profile photograph; creator not stated. License: Not stated by source. Source: ailab.hkust-gz.edu.cn. Cropped to a square and resized. Ask us to remove or replace this photo.