| 2026 | ACL | Decoding the Multimodal Mind: Generalizable Brain-to-Text Translation via Multimodal Alignment and Adaptive Routing. | Chunyu Ye, Yunhao Zhang, Jingyuan Sun, Chong Li, Yang Zhao, Shaonan Wang |
| 2025 | AAAI | NeuralFlix: A Simple While Effective Framework for Semantic Decoding of Videos from Non-invasive Brain Recordings. | Jingyuan Sun, Mingxiao Li, Marie-Francine Moens |
| 2025 | EMNLP | 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 |
| 2025 | NAACL | 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 |
| 2024 | ACL | Computational Linguistics for Brain Encoding and Decoding: Principles, Practices and Beyond. | Jingyuan Sun, Shaonan Wang, Zijiao Chen, Jixing Li, Marie-Francine Moens |
| 2024 | COLING | DMON: A Simple Yet Effective Approach for Argument Structure Learning. | Wei Sun, Mingxiao Li, Jingyuan Sun, Jesse Davis, Marie-Francine Moens |
| 2024 | EAMT | ERC Advanced Grant Project CALCULUS: Extending the Boundary of Machine Translation. | Jingyuan Sun, Mingxiao Li, Ruben Cartuyvels, Marie-Francine Moens |
| 2024 | NAACL | 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 |
| 2023 | ECAI | Investigating Neural Fit Approaches for Sentence Embedding Model Paradigms. | Helena Balabin, Antonietta Gabriella Liuzzi, Jingyuan Sun, Patrick Dupont, Rik Vandenberghe, Marie-Francine Moens |
| 2023 | ECAI | Decoding Realistic Images from Brain Activity with Contrastive Self-Supervision and Latent Diffusion. | Jingyuan Sun, Mingxiao Li, Marie-Francine Moens |
| 2023 | ECAI | Tuning in to Neural Encoding: Linking Human Brain and Artificial Supervised Representations of Language. | Jingyuan Sun, Xiaohan Zhang, Marie-Francine Moens |
| 2023 | IJCAI | Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations? | Jingyuan Sun, Marie-Francine Moens |
| 2020 | COLING | Distill and Replay for Continual Language Learning. | Jingyuan Sun, Shaonan Wang, Jiajun Zhang, Chengqing Zong |
| 2019 | AAAI | Towards Sentence-Level Brain Decoding with Distributed Representations. | Jingyuan Sun, Shaonan Wang, Jiajun Zhang, Chengqing Zong |
| 2018 | EMNLP | Memory, Show the Way: Memory Based Few Shot Word Representation Learning. | Jingyuan Sun, Shaonan Wang, Chengqing Zong |
| 2018 | ISIT | Reliability-Based-Layered Belief Propagation for Iterative Decoding of LDPC Codes. | Rong Sun, Xiaogeng Hou, Jingyuan Sun, Hao Guan, Zhuyan Zhao |
| 2017 | VTC | Non-Orthogonal Coded Access for Contention-Based Transmission in 5G. | Qi Wang, Zhuyan Zhao, Deshan Miao, Yuantao Zhang, Jingyuan Sun, Ming Liu, Zhangdui Zhong |
| 2016 | VTC | Channel Estimation with New Basis Expansion Model for Wireless Communications on High Speed Railways. | Xiyu Wang, Gongpu Wang, Jingyuan Sun, Yulong Zou |
| 2016 | VTC | Uplink Contention Based Transmission with Non-Orthogonal Spreading. | Zhuyan Zhao, Deshan Miao, Yuantao Zhang, Jingyuan Sun, Hongchao Li, Klaus I. Pedersen |
| 2012 | PIMRC | An efficient feedback and scheduling scheme for cooperative multiple-point transmission in heterogeneous networks. | David Mazzarese, Yongxing Zhou, Xiaotao Ren, Jingyuan Sun, Liang Xia, Jiayin Zhang |
| 2012 | VTC | Joint Transmission for LTE-Advanced Systems with Non-Full Buffer Traffic. | Yongping Zhang, Liang Xia, Philipp Zhang, Shulan Feng, Jingyuan Sun, Xiaotao Ren |
| 2007 | LANMAN | Uplink Capacity Enhancement In Two-Hop Cellular Networks With Limited Mobile Relays. | Jingyuan Sun |