杨杰 讲师

福建省厦门市人，澳大利亚认证工程师

联系方式：

leoyang@xmut.edu.cn

研究方向：

计算机视觉，自然语言处理，生成式人工智能，多智能体

教育背景：

2015-2017，新南威尔士大学，通信工程，硕士

2022-2026，厦门大学，计算机科学与技术，博士

工作经历：

2017-2019，Green Light Worldwide，通信网络工程师

2020-2022，厦门软件职业技术学院，云计算技术与应用专业教研室主任

2026-至今，厦门理工学院，讲师

代表性论文：

[1] J. Yang, et al., "EFMS‑Net: Efficient Frequency‑Enhanced Multi‑Scale Network for Ischemic Stroke Segmentation," in Proceedings of the International Conference on Medical Image Computing and Computer‑Assisted Intervention (MICCAI), Springer, 2025, pp. 161‑171. (CCF‑B, 医学图像领域顶会)

[2] J. Yang, et al., "Towards Factual Consistency in Clinical Summarization: A Self‑correction Strategy," Human‑centric Computing and Information Sciences, vol. 15, pp. 1‑18, 2025. (中科院二区)

[3] J. Yang, et al., "Predicting the prognosis of stroke patients based on personalized federated learning," Journal of Internet Technology, vol. 25, no. 6, pp. 815‑824, 2024. (中科院四区)

[4] C. Zhu, J. Yang, et al., "StPointNet for human action recognition in mmWave point clouds," in Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024. (CCF‑C, 共一作者)

[5] N. Chen, J. Yang, et al., "GainNet: Coordinates the odd couple of generative AI and 6G networks," IEEE Network, vol. 38, no. 5, pp. 56‑65, 2024. (中科院二区)

[6] J. Yang, et al., "Research on the key intelligent optimization technology of 5G millimeter wave relay," Journal of Internet Technology, vol. 22, no. 2, pp. 441‑453, 2021. (中科院四区)

[7] S. Shen, J. Yang, et al., "ProFuseGPT: Progressive Fusion with Contrastive Refinement for Long‑Sequence Medical Report Generation," in International Conference on Intelligent Computing (ICIC), 2026. (CCF‑C)

[8] S. Shen, X. Yang, J. Yang, et al., "RE‑MCDF: Closed‑Loop Multi‑Expert LLM Reasoning for Knowledge‑Grounded Clinical Diagnosis," in International Joint Conference on Neural Networks (IJCNN), 2026. (CCF‑C)

获奖情况：

[1] 2025年厦门大学青年科技奖学金

[2] 2026年厦门大学校级奖学金