Peiliang Gong
I am currently a Postdoctoral Researcher at Nanyang Technological University (NTU), working with Prof. Yang Liu. Previously, I received my PhD from the iBRAIN Lab at Nanjing University of Aeronautics and Astronautics, supervised by Prof. Daoqiang Zhang (IAPR Fellow). I received my M.S. degree in Computer Science & Technology from Beijing Jiaotong University in 2021. During my PhD studies, I was also a visiting PhD student at the Institute of Infocomm Research, A*STAR, supervised by Prof. Xiaoli Li (IEEE Fellow).
My research interests are broadly in machine learning and primarily focus on:
- Sensor-based Time Series Analysis
- Brain-Computer Interfaces (BCI)
- Domain Adaptation
- Foundation Models and Large Language Models (LLMs)
- Neuro AI
📪If you are interested in collaborating on topics such as Time Series Analysis, BCI, Brain Foundation/LLM Models, and other related areas, I warmly welcome potential collaborators and research interns—feel free to reach out! I also welcome inquiries from CSC scholarship students and visiting students/scholars who are interested in conducting research in these areas.
🔥 News
- [2025-12][Call For Paper] Honored to serve as Guest Editor for the JoVE Topical Collection " [Link] Emerging Frontiers in EEG-based BCI: Robust Decoding, Clinical Applications, and Generative Reconstruction ". We warmly welcome submissions on related works!
- [2025-11] Delighted to join the Youth Editorial Board of Neuroelectronics.
- [2025-10] One paper was accepted by IEEE TKDE, thanks all co-authors.
- [2025-09] One paper was accepted by Neural Networks, thanks all co-authors.
- [2025-07] One paper was accepted by Neural Networks, thanks all co-authors.
- [2025-05] One paper was accepted by ACM KDD, thanks all co-authors.
- [2024-11] One paper was accepted by ACM KDD, thanks all co-authors.
- [2024-01] One paper was accepted by IEEE TITS, thanks all co-authors.
- [2023-07] One paper was accepted by ACM MM, thanks all co-authors.