Dongyang Li「李东洋」   M.S. Student, Incoming Ph.D. Student NCClab@SUSTech, Southern University of Science and Technology Shenzhen, China Email: ldy200016@gmail.com [CV] [Google Scholar] [Github] [LinkedIn] [X]

Biography

Hi! 👋 I am currently a last-year M.S. student in NCClab@SUSTech, majoring in Electronic Engineering at Southern University of Science and Technology, Shenzhen, China. During my M.S. program, I was advised by Prof. Quanying Liu. I have previously worked with Prof. Chao Zhang. On Sep 2026, I will start the Ph.D. program at Tsinghua University, Beijing, China. During my Ph.D., I will be jointly supervised by Prof. Xiaoxuan Jia and Prof. Liyuan Wang, and I plan to pursue research on Brain-Inspired AI algorithms and Brain-Computer Interfaces.

My main research interests lie in leveraging Multimodal Large Language Models (MLLMs) and Generative Models to construct Bidirectional Brain-Computer Interfaces (BCIs), thereby advancing the development of Physical AI and NeuroAI.

My mission is to architect the next generation of General Artificial Intelligence by integrating brain-inspired intelligence principles with the capabilities of MLLMs. I strive to unravel the neural mechanisms underlying human perception and motor behavior, and translate these findings into robust physical and linguistic intelligence, ultimately empowering intelligent agents to genuinely comprehend and collaborate with humans.

🎯 Feel free to contact me by email if you are interested in discussing or collaborating with me.

News

• [05/2026] I will join Omni-Intelligence as a Research Intern, working on large-scale brain foundation decoding models.
• [01/2026] One paper is accepted to ICLR 2026. [Paper] [Code]
• [12/2025] One journal paper is accepted to Scientific Data. [Paper] [Code]
• [12/2025] Won 1st place in Speech Detection (Standard Track) at NeurIPS 2025 LibriBrain Competition. [Code]
• [10/2025] Joined AGIBot as Intern Researcher. Started doing research on humanoid robot motion generation.
• [07/2025] One paper is accepted to ACM MM 2025 (Oral). [Paper] [Code]
• [05/2025] Joined Shanghai AI Laboratory as Intern Researcher. Started doing research on speech decoding.
• [12/2024] Invited talk at NeurIPS Workshop in Department of Statistics and Data Science, SUSTech. [Slide]
• [09/2024] One paper is accepted to NeurIPS 2024 (Poster). [Paper] [Code]
• [08/2024] Gave an oral presentation on HBAI workshop at IJCAI 2024. [Slide]
• [06/2024] One paper is accepted to a Workshop of Human Brain and Artificial Intelligence (HBAI) at IJCAI 2024. [HBAI]

Selected Publications

(* equal contribution; ^† corresponding author)

MindPilot: Closed-loop Visual Stimulation Optimization for Brain Modulation with EEG-guided Diffusion Dongyang Li*, Kunpeng Xie*, Mingyang Wu, Yiwei Kong, Jiahua Tang, Haoyang Qin, Chen Wei†, Quanying Liu† International Conference on Learning Representations (ICLR), 2026 [project] [paper] [code]

BrainFLORA: Uncovering Brain Concept Representation via Multimodal Neural Embeddings (Oral) Dongyang Li*, Haoyang Qin*, Mingyang Wu, Chen Wei†, Quanying Liu† ACM International Conference on Multimedia (ACM MM), 2025 [project] [arXiv] [code]

Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion Dongyang Li*, Chen Wei*, Shiying Li, Jiachen Zou, Quanying Liu† Advances in Neural Information Processing Systems (NeurIPS), 2024, Poster [project] [arXiv] [code]

Experience

• Omni-Intelligence — Research Intern (May 2026 – Present)
  Supervisor: Dr. Chen Wei
  Multimodal brain decoding foundation model.
• AGIBot — Research Intern (Oct 2025 – Feb 2026)
  Supervisor: Dr. Shaoli Huang
  Multimodal reliable humanoid locomotion generation for robotics.
• Shanghai AI Laboratory — Research Intern (May 2025 – Oct 2025)
  Supervisor: Prof. Chao Zhang
  Non-invasive brain-computer interface based on multimodal models.

Invited Talks

• NeurIPS 2024 Workshop in Department of Statistics and Data Science, SUSTech · Dec 2024
  Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion
  [slide]
• IJCAI 2024, Workshop of Human Brain and Artificial Intelligence (HBAI) · Aug 2024
  Domain-guided contrastive adversarial network for EEG-based cross-subject workload decoding
  [workshop] [slide]

Competition

• NeurIPS 2025 The PNPL Competition: Decoding Language from MEG Signals · Dec 2025
  1st Winner, Speech Detection Phase, Standard Track
  [code]

Academic Services

Conference Reviewer for ICLR, ICML (2026 Silver Reviewer), NeurIPS, ACL, KDD, AAAI.

Last update: May 2026 by Dongyang Li