[NeurIPS-2025] MIRA: Medical Time Series Foundation Model for Real-World Health Data. Hao Li, Bowen Deng, Chang Xu, Zhiyuan Feng, Viktor Schlegel, Yu-Hao Huang, Yizheng Sun, Jingyuan Sun, Kailai Yang, Yiyao Yu, Jiang Bian.

[EMNLP-2025] Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study. Yizheng Sun, Hao Li, Chang Xu, Hongpeng Zhou, Chenghua Lin, Riza Batista-Navarro, Jingyuan Sun.

[AAAI-2025] NeuralFlix: A Simple While Effective Framework for Semantic Decoding of Videos from Non-invasive Brain Recordings. Jingyuan Sun, Mingxiao Li, Marie-Francine Moens. AAAI 2025, Oral.

[NAACL-2025] LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models. Yizheng Sun, Yanze Xin, Hao Li, Jingyuan Sun, Chenghua Lin, Riza Batista-Navarro. NAACL 2025

[ACL-2024] Computational Linguistics for Brain Encoding and Decoding: Principles, Practices and Beyond. Jingyuan Sun, Shaonan Wang, Zijiao Chen, Jixing Li and Marie-Francine Moens.  In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, tutorial track.

[IJCAI-2024]  Brain Encoding and Decoding with Deep Neural Networks: Methods, Applications, and Future Directions. Jingyuan Sun, Weihao Xia, Jixing Li, Shaonan Wang, Jiajun Zhang, A. Cengiz Oztireli, Sien Moens. Tutorial In  33rd International Joint Conference on Artificial Intelligence, 2024, Jeju, Korea

[LREC-2024] DMON: A Simple yet Effective Approach for Argument Structure Learning.  In Proceedings of  The International Conference on Language Resources and Evaluation 2024.

[NAACL-2024] MapGuide: A Simple yet Effective Method to Reconstruct Continuous Language from Brain Activities.Xinpei Zhao, Jingyuan Sun, Shaonan Wang, Jing Ye, Xiaohan Zhang, Chengqing Zong. In Proceedings of 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics. (co-first author and corresponding author)

[NeurIPS-2023] Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities. Jingyuan Sun, Mingxiao Li, Zijiao Chen, Yunhao Zhang, Shaonan Wang and Marie-Francine Moens. In Proceedings of the Neural Information Processing Systems 2023.

[IJCAI-2023] Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations?  Jingyuan Sun and  Marie-Francine Moens. In Proceedings of the 32nd International Joint Conference on Artificial Intelligence, 2023, Macau, China. 

[ECAI-2023] Tuning In to Neural Encoding: Linking Human Brain and Artificial Supervised Representations of Language. Jingyuan Sun, Xiaohan Zhang  and Marie-Francine Moens. In Proceedings of the 2023 European Conference in Artificial Intelligence. 

[ECAI-2023] Decoding Realistic Images from Brain Activity with Contrastive Self-supervision and Latent Diffusion. Jingyuan Sun, Mingxiao Li and Marie-Francine Moens. In Proceedings of the 2023 European Conference in Artificial Intelligence. 

[ECAI-2023] Investigating Neural Fit Approaches for Sentence Embedding Model Paradigms. Helena Balabin, Liuzzia Antonietta Gabriella, Jingyuan Sun, Dupont Patrick, Rik Vanderberghea, Marie-Francine Moens. In Proceedings of the 2023 European Conference in Artificial Intelligence. 

[Scientific Data] Wang, Shaonan, Yunhao Zhang, Xiaohan Zhang, Jingyuan Sun, Nan Lin, Jiajun Zhang, and Chengqing Zong. “An fmri dataset for concept representation with semantic feature annotations.” Nature Scientific Data 9, no. 1 (2022): 721. (I.F. 8.501) 

[COLING-2021] Distill and replay for continual language learning.  Jingyuan Sun, Shaonan Wang, Jiajun Zhang, and Chengqing Zong  In Proceedings of the 28th international conference on computational linguistics, pp. 3569-3579. 2020. 

[AAAI-2019] Towards sentence-level brain decoding with distributed representations.  Jingyuan Sun, Shaonan Wang, Jiajun Zhang, and Chengqing Zong.  In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, no. 01, pp. 7047-7054. 2019 

[EMNLP-2018] Memory, show the way: Memory-based few shot word representation learning. Jingyuan Sun, Shaonan Wang, and Chengqing Zong. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp. 1435-1444. 2018. 

[TNNLS] Neural encoding and decoding with distributed sentence representations. Jingyuan Sun, Shaonan Wang, Jiajun Zhang, Chengqing Zong. IEEE Transactions on Neural Networks and Learning Systems 32, no. 2 (2020): 589-603 

[Entropy] Nathan Cornille, Katrien Laenen, Jingyuan Sun, Marie-Francine Moens. “Causal Factor Disentanglement for Few-Shot Domain Adaptation in Video Prediction“

[Information Fusion] From Sight to Insight: A Multi-task Approach with the Visual Language Decoding Model. Wei Huang, Pengfei Yang, Ying Tang, Fan Qin, Hengjiang Li, Diwei Wu, Wei Ren, Sizhuo Wang, Yuhao Zhao, Jing Wang, Haoxiang Liu, Jingpeng Li, Yucheng Zhu, Bo Zhou, Jingyuan Sun, Qiang Li, Kaiwen Cheng, Hongmei Yan, Huafu Chen.