Personal profile
Overview
I am currently a Lecturer in the Department of Computer Science, the University of Manchester. (Fully funded PhD positions available!)
I am generally interested in the connection and alignment between large scale AI systems and human brain. I am recently extending my research on how such alignment may support patients with neuro-degenerative diseases. One specific area I am currently working in is brain computer interface, where I study how brain activities can be decoded to reconstruct lingusitic and visual perception with foundational AI models. Another area that I am trying to build future research around is foundation models specifically for health care. I collect and experiment with neuro-imaging data recorded by fMRI, EEG and MEG. I publish and review papers in top-tier AI conferences and journals including NeurIPS, AAAI, IJCAI, EMNLP and TNNLS etc.
Prior to my UoM job, I conducted postdoc researcher adviced by Prof. Dr. Marie-Francine Moens in Department of Computer Science, KU Leuven, Belgium from August 2022 to Augutst 2024, when I was funded by the ERC Advanced Project CALCULUS under Horizon 2020. Before that, I worked as an Senior R&D engineer in Baidu, China.
Prior to working, I got my master and Ph.D. degree under the supervision of Prof. Dr. Chengqing Zong in Institute of Automation, Chinese Academy of Sciences, where I worked at the intersection of computational linguistics and neuolinguistics.
Education/Academic qualification
Doctor of Philosophy, Chinese Academy of Sciences
Award Date: 1 Jun 2021
Areas of expertise
- QA75 Electronic computers. Computer science
- RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
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Collaborations and top research areas from the last five years
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LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models
Sun, J., Sun, Y., Batista-Navarro, R. T., Lin, C., Li, H. & Xin, Y., 2025, 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics.Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
Open Access1 Downloads (Pure) -
MIRA: Medical Time Series Foundation Model for Real-World Health Data
Sun, J., Li, H., Schlegel, V. & Sun, Y., 3 Dec 2025, Proceedings of Neural Information Processing Systems. Neural information processing systems foundationResearch output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
Open AccessFile263 Downloads (Pure) -
NeuralFlix: A Simple While Effective Framework for Semantic Decoding of Videos from Non-invasive Brain Recordings
Sun, J., Li, M. & Moens, M.-F., 11 Apr 2025, Annual AAAI Conference on Artificial Intelligence.Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
Open AccessFile26 Downloads (Pure) -
Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities
Sun, J., Li, M., Chen, Z., Zhang, Y., Wang, S. & Moens, M.-F., Jul 2024, Advances in Neural Information Processing Systems 36: 37th Conference on Neural Information Processing Systems (NeurIPS 2023). Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). Neural information processing systems foundation, p. 1-17 17 p.Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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From sight to insight: A multi-task approach with the visual language decoding model
Huang, W., Yang, P., Tang, Y., Qin, F., Li, H., Wu, D., Ren, W., Wang, S., Li, J., Zhu, Y., Zhou, B., Sun, J., Cheng, K., Yan, H. & Chen, H., 1 Dec 2024, In: Information Fusion.Research output: Contribution to journal › Article › peer-review