Hi there! I am committed to creating artificial intelligence to advance the world through the analysis and understanding of neural and behavioral data from the human brain. I specialize in delving into complex brain functions to clarify and extract valuable insights to solve problems. Through various projects, I have enhanced data-driven decision-making and developed efficient algorithms for solving practical brain-computer interface problems. With these experiences, my goal is to continue to learn and grow and enjoy new challenges in the fields of data science and artificial intelligence.

• 🔭 I’m currently working on [Southern University of Science and Technology ]
• 🌱 I’m currently learning [Artificial intelligence and brain-computer interfaces]
• 👯 I’m looking to collaborate on [Multimodal large model and non-invasive brain computer interface]
• 🤔 I’m looking for help with [Computer vision and natural language processing]
• 💬 Ask me about [Neural decoding and AI aligned with the brain]
• 📫 How to reach me: [[email protected]]
• 😄 Personal Pages: https://dongyangli-del.github.io/ (updated recently🔥)

• MS in Electronic Science and Technology (2023.06 - Present), Department of Biomedical Engineering, Southern University of Science and Technology
• BS in Computer Science and Technology (2019.09-2023.06), School of Computer and Artificial Intelligence, Zhengzhou University

• Generative AI (Computer Vision and Natural Language Processing)
• Neural decoding / Brain-computer Interface（BCI）
• Signal processing techniques (Experience in EEG, fMRI, etc.)
• Multimodal AI

• Provincial Special Award and National Bronze Award, "Challenge Cup" National University Student Innovation and Entrepreneurship Plan Competition, 2020.10
• National First Prize (Captain), China Robot Competition and RobotCup Advanced Vision Competition 3D Recognition Project, 2022.04.
• National First Prize (Captain), China Robot Competition and RobotCup Advanced Vision Competition Industrial Measurement Project, 2022.04.
• National Second Prize (Captain), "MathorCup" University Mathematical Modeling Challenge, 2021.7
• Provincial First Prize (Captain), National College Student Mathematical Modeling Competition,2021.11

• Human Brain Electrophysiological Signal Data Interpolation Based on Depth-Generating Model, PI: Quanying Liu, 2022-10 to Present. In this project, I utilize a generative model to establish a unified framework for electrophysiological channel data recovery, addressing cross-subject challenges through a location coding method.

• Decoding and Reconstructing Brain Activity from Image Stimuli Based on Multimodal Large Model, PI: Quanying Liu, 2023-07 to Present. Currently involved in advancing multimodal neural network models for interpreting brain activity in response to visual stimuli.

• Image Aesthetics Evaluation Based on Reinforcement Learning, PI: Mingliang Xu and Pei Lv, 2020-10 to 2021-01. Contributed to data processing, feature extraction, and chart data modeling, significantly aiding in research published in IEEE Transactions on Multimedia (TMM).

• Li D, Wei C, Li S, et al. "Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion", arXiv preprint arXiv:2403.07721, 2024.