澳洲10人工计划网

郑冶枫，腾讯杰出科学家和天衍实验室主任、澳洲10人工计划网生物医学工程学院兼职博导。郑冶枫本科和硕士毕业于清华大学电子工程系，博士毕业于美国马里兰大学。2006年至2017年在西门子医疗美国研究院工作。2018年1月加入腾讯，现任腾讯杰出科学家和天衍实验室主任。他一直从事医学人工智能的研发，发明了投影空间学习法，用于医学影像中器官的快速检测与分割。该发明于2011年获美国专利授权，当年即获托马斯.爱迪生专利奖。相关的研究成果于2014年结集出版《医学影像处理的投影空间学习法：器官的快速检测与分割》。他已经发表论文200多篇，编撰专著3部，拥有美国发明专利70多项，论文被引用11,000多次，h-index指数56。他是国际电气与电子工程师学会会士（IEEE Fellow），美国医学和生物工程学会的会士（AIMBE Fellow），IEEE医学影像杂志副编（IF=10.0）和医学影像AI顶会MICCAI 2021大会程序委员会联合主席，曾于2003年获得中国国家科技进步二等奖。

联系地址：苏州工业园区独墅湖科教创新区仁爱路188号

个人主页：http://bme.ustc.edu.cn/2022/1102/c29106a579430/page.htm

主要研究方向、学术成就及创新点：

一直从事医学人工智能的研发，发明了投影空间学习法，用于医学影像中器官的快速检测与分割。

重要科研获奖情况：

1．Fellow of The Institute of Electrical and Electronics Engineers (IEEE) 电气电子工程师学会，2022.01

2．Fellow of American Institute for Medical and Biological Engineering (AIMBE) 美国医学与生物工程院，2018.04

3. Thomas A. Edison Patent Award, 2011.11

4．中国国家科技进步二等奖, 2003

学术论文及著作：

1. Q.Xie, N. He, Y. Li, M. Ning, K. Ma, G. Wang, Y. Lian, and Y. Zheng, “Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training,” IEEE Transactions on Medical Imaging, 2022.

2.W. Chen, S. Yu, K. Ma, C. Bian, W. Ji, C. Chu, L. Shen, and Y. Zheng, “TW-GAN: Topology and Width Aware GAN for Retinal Artery/Vein Classification,” Medical Image Analysis, Vol. 77, 102340, 2022.

3.C. Bian, C. Yuan, K. Ma, S. Yu, D. Wei, and Y. Zheng, “Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation,” IEEE Transactions on Medical Imaging, Vol. 41, No. 5, pp. 1043-1056, 2022.

4. H. Wang, Y. Li, N. He, K. Ma, D. Meng, and Y. Zheng, “DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reduction in CT Images,” IEEE Transactions on Medical Imaging, Vol. 41, No. 4, pp. 869-880, 2022.

5.Y. Li, J. Chen, D. Wei, Y. Zhu, J. Wu, T. Qian, K. Ma, and Y. Zheng, “Mix-and-Interpolate: A Training Strategy to Deal with Source-biased Medical Data,” IEEE Journal of Biomedical and Health Informatics, Vol. 26, No. 1, pp. 172-182, 2022.

6. J. Chen, Z. Zhang, X. Xie, Y. Li, T. Xu, K. Ma, and Y. Zheng, “Beyond Mutual Information: Generative Adversarial Network for Domain Adaptation using Information Bottleneck Constraint,” IEEE Transactions on Medical Imaging, Vol. 4, No. 3, pp. 595-607, 2022.

7. J. Sun, Y. Zheng, W. Liang, Z. Yang, Z. Zeng, T. Li, J. Luo, M.T.A. Ng, J. He, and N. Zhong, “Quantifying the Effect of Public Activity Intervention Policies on COVID-19 Pandemic Containment using Epidemiological Data from 145 Countries,” Value in Health, Vol. 25, No. 5, pp. 699-708, 2022.

8. Y. Cheng, W. Liu, W. Li, J. Wang, R. Zhao, B. Liu, X. Liang, and Y. Zheng, “Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning,” Proc. Conf. Empirical Methods in Natural Language Processing, 2022.

9.S. Zhang, J. Sun, Y. Huang, X. Ding, and Y. Zheng, “Medical Symptom Detection in Intelligent Pre-Consultation using Bi-directional Hard-Negative Noise Contrastive Estimation,” Proc. ACM SIGKDD Conf. Knowledge Discovery and Data Mining, 2022.

10. W. Liu, Y. Cheng, H. Wang, J. Tang, Y. Liu, R. Zhao, W. Li, Y. Zheng, and X. Liang, “‘My nose is running.’ ‘Are you also coughing?’: Building A Medical Diagnosis Agent with Interpretable Inquiry Logics,” Proc. Int’l Joint Conf. Artificial Intelligence, 2022.