News

I am looking for postdoc positions in BCI/AI/BME. Feel free to contact me for any related positions.

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

1. Ph.D. (Candidate) in Artificial Intelligence, 2022-
   School of Artificial Intelligence and Automation
   Huazhong University of Science and Technology, China
   Supervisor: Prof. Dongrui Wu
2. Master in Artificial Intelligence, 2020-2021
   College of Arts and Science
   Boston University, USA
3. Bachelor in Mathematics and Computer Science, 2014-2018
   Courant Institute, College of Arts and Science
   New York University, USA

Selected Publications

T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIs
Siyang Li, .., Lieyun Ding^📩, Dongrui Wu^📩
IEEE TBME 2024 [Code]
⚑ Youth Paper Defense Competition Award, World Robot Contest (WRC) - BCI Track, 2023
⚑ Poster, Spotlight, the 1st Chinese Conference on Brain-Machine Intelligence (ChinaBMI), CAAI, 2024
⚑ China Patent

Black-Box Test-Time Ensemble
Siyang Li, .., Dongrui Wu^📩
IEEE CIM 2025 [Code]
⚑ Poster, the 2nd Chinese Conference on Brain-Machine Intelligence (ChinaBMI), CAAI, 2025
⚑ China Patent

Canine EEG helps human: cross-species and cross-modality epileptic seizure detection via multi-space alignment
.., Siyang Li, Dongrui Wu^📩
NSR 2025
⚑ EurekAlert!