News

• Position
  I am looking for postdoc positions in AI / Agents / BCI / BME / Neuroscience. Feel free to contact me for related positions.
• Publication
  Our paper StackingNet: Collective Inference Across Independent AI Foundation Models is now published (Open Access) in Advanced Science!
• Open Source
  I built and will manage HUST-BCIML, a repository collecting the published code and related resources of Prof. Dongrui Wu's lab.

Biography

My research spans machine learning theory, algorithms, and models. Technically, I study transfer learning, ensemble learning, and multimodal learning. I am also familiar with signal processing techniques, modern large language models and vision-language models (LLMs/VLMs).

For applications, I am particularly interested in brain decoding for brain-computer interfaces (BCIs). For the long-term goal, I aim at multimodal human-computer interaction systems for future generations.

Education

• Ph.D. in Artificial Intelligence2026
  School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, China
  Supervisor: Prof. Dongrui Wu
• Master in Artificial Intelligence2021
  College of Arts and Science, Boston University, USA
• Bachelor in Mathematics and Computer Science2018
  Courant Institute, College of Arts and Science, New York University, USA

Selected Publications