Dongyang Li「李东洋」   Incoming Ph.D. Student Tsinghua University Beijing, China Email: ldy200016@gmail.com [CV] [Google Scholar] [Github] [LinkedIn] [X]

Biography

Hi! 👋 I am an incoming Ph.D. student at Tsinghua University, Beijing, China. During my Ph.D., I will be jointly supervised by Prof. Xiaoxuan Jia and Prof. Liyuan Wang. I received my M.S. degree in Electronic Engineering from Southern University of Science and Technology, Shenzhen, China, where I was a member of NCClab@SUSTech. During my M.S. program, I was advised by Prof. Quanying Liu. I have previously worked with Prof. Chao Zhang.

My main research interests lie in leveraging Foundation Models (FMs) and Generative Models to construct Bidirectional Brain-Computer Interfaces (BCIs) and Brain-Inspired AI algorithms, thereby advancing the development of Physical AI and Self-Improving AI.

My mission is to architect the next generation of General Artificial Intelligence (GAI) by integrating brain-inspired intelligence principles with the capabilities of FMs. I strive to unravel the neural mechanisms underlying human perception and motor behavior, and translate these findings into robust self-evolving 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: July 2026 by Dongyang Li