天津大学智能与计算学部——于健
天津大学智能与计算学部 高级工程师，硕士生导师 ，天津大学计算机实验教学中心副主任。主要从事 人工智能、数据挖掘 等相关研究工作。主持和参与多项国家级、省部级自然科学基金项目，在国内外学术期刊和会议上发表多篇学术论文。担任IT学科创新创业训练基地指导教师，组织和指导学生参加各类学科竞赛和大学生创新创业项目。
R. Zhang, W. Lu, X. Wei, J. Zhu, H. Jiang, Z. Liu, J. Gao, X. Li, J. Yu, M. Yu, and R. Yu. A Progressive Generative Adversarial Method for Structurally Inadequate Medical Image Data Augmentation. IEEE Journal of Biomedical and Health Informatics, 2021, 26(1): 7-16.
T. Luo, T. Xu, J. Yu, X. Li, X. Wei, M. Yu, R. Zhang, J. Gao, and R. Yu. Border Sensitive Network in Weakly Supervised Thyroid Nodule Detection for Ultrasound Image. BIBM, 2021, 1429-1432.
M. Yu, J. Wei, C. Wang, H. Jiang, J. Yu, R. Zhang, X. Li, R. Yu. Edge Enhancement Network For Weakly Supervised Semantic Segmentation. ICME 2021, 1-6.
M. Yu, Z. Zhang, X. Li, J. Yu, J. Gao, Z. Liu, B. You, X. Zheng, R. Yu. Superposition Graph Neural Network for offshore wind power prediction. Future Generation Computer Systems, 2020, 113, 145-157.
T. Luo, Y. Wei, M. Yu, X. Li, M. Zhao, T. Xu, J. Yu, J. Gao and R. Yu. BTDE: Block Term Decomposition Embedding for Link Prediction in Knowledge Graph. ECAI 2020, 2020, 817-824.
C. Liu, Y. Liu, M. Yu, R. Yu, X. Li, M. Zhao, T. Xu, H. Liu, L. Xu, J. Yu. RL4HIN: Representation Learning for Heterogeneous Information Networks. 2019 GLOBECOM, 2019.
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