{{EngLish?'WANG Yanfeng':'王延峰'}}


{{EngLish?'School of Electronic, Information & Electrical Engineering':'电子信息与电气工程学院'}}

{{EngLish?'Shanghai Jiao Tong University':'上海交通大学'}}




{{EngLish?'WANG Yanfeng, PhD ,Professor and doctorate advisor of Shanghai Jiao Tong University. Dr. Wang is the deputy director of the Cooperative Medianet Innovation Center of Shanghai Jiao Tong University and the deputy dean of the Institute of Artificial Intelligence. He is the committee member of the Internet + Mission of National Development and Reform Commission and the advisory board member of Artificial Intelligence Major Project of the Ministry of Science and Technology. Dr. Wang obtained his master and doctorate degrees from Shanghai Jiao Tong University in 2004 and 2009, respectively. His research interests are artificial intelligence, commercial application of emerging information technology, and transformation of science and technology in industry applications. He has published 1 book and 30+ papers domestically and internationally. He has been authorized more 10+ invention patents and 50+ national invention patents in application. He has won the first prize of Shanghai Science and Technology Progress Award, the First Prize of 5th Wang Xuan News Technology Award, Outstanding Contribution Award for Science and Technology Innovation from State Administration of Radio, Film and Television, Emerging IT Innovation Award of Shanghai, The May Fourth Youth Medal of Shanghai, Shanghai Jiao Tong University Top Ten Role Model Award, Shanghai Jiao Tong University President Award, etc.':'      王延峰教授,博士生导师,现任上海交通大学人工智能研究院副院长兼苏州人工智能研究院院长、未来媒体网络协同创新中心副主任。国家发改委人工智能专家委员会委员、科技部科技创新2030“新一代人工智能”重大项目指南专家组成员。王延峰分别于2004年、2009年在上海交通大学获得硕士、博士学位,主要研究方向为人工智能、新兴信息技术商业应用、科技成果转化。已出版专著1本,发表国内外高水平论文30余篇,授权发明专利10余项,申请国家发明专利50余项。曾荣获上海市科技进步一等奖、中国第五届王选新闻科技一等奖、国家广电总局科技创新突出贡献奖、上海市IT新锐奖、上海市五四青年奖章、上海交通大学十大标兵、上海交通大学校长奖等荣誉。'}}


{{EngLish?'2005 Master Degree, Shanghai Jiao Tong University':'2005年,获上海交通大学硕士学位'}}

{{EngLish?'2009 PH.D, Shanghai Jiao Tong University':'2009年,获上海交通大学博士学位'}}

{{EngLish?'2009 Marketing Director, Shanghai High Definition Digital Technology Industrial Co., Ltd.':'2009年,任上海高清数字科技产业有限公司营销总监'}}

{{EngLish?'2010 Vice President, Shanghai National Engineering Research Center of Digital Television':'2010年,任数字电视国家工程研究中心副总裁'}}

{{EngLish?'2015 Deputy Director, School of Electronic, Information & Electrical Engineering':'2015年,任上海交通大学电子信息与电气工程学院副院长'}}

{{EngLish?'          Cooperative Medianet Innovation Center of Shanghai Jiao Tong University':'              上海交通大学未来媒体网络协同创新中心副主任'}}

{{EngLish?'2017 Dean, Suzhou Institute of Artificial Intelligence of Shanghai Jiao Tong University':'2017年,任上海交通大学苏州人工智能研究院院长'}}

{{EngLish?'2018 Deputy Dean, Institute of Artificial Intelligence of Shanghai Jiao Tong University':'2018年,任上海交通大学人工智能研究院副院长'}}

{{EngLish?'Research Projects':'科研项目'}}

2020年 科技部国家重点研发计划《4K超高清媒体的制作与分发关键技术研究》

2019年 国家发改委互联网+重大专项《大数据分析与智能媒体传输系统》

2018年 上海市人工智能创新发展专项项目《面向智慧医院的行为多维度感知系统的建设》

2015年 上海市科技行动计划重大项目《4K超高清电视全产业链关键技术研究与应用示范》

2020年 科技部国家重点研发计划


2019年 国家发改委互联网+重大专项


2018年 上海市人工智能创新发展专项项目


2015年 上海市科技行动计划重大项目


{{EngLish?'Journal Papers':'期刊论文'}}

1. 王延峰, 卢策吾, 张娅等,“超级医生助手:让人工智能技术成为医疗服务突破口”,前沿科学,2019.

2. Y Wang, M Ding , Z Chen, L Luo, “Caching Placement with Recommendation Systems for Cache-Enabled Mobile Social Networks”, IEEE Communications Letters , 2017.

3. Y Wang, D He, L Ding, W Zhang, W Li, Y Wu, N Liu, Y Wang ,“Media Transmission by Cooperation of Cellular Network and Broadcasting Network ”, IEEE Transactions on Broadcasting , 2017.

4. Y Wang, D He , W Zhang, Y Guan, Y Wang, Y Zhang, H Hui , “An Urban-Rural Dual Structure for the Digital Terrestrial Television Broadcasting System of FOBTV” , 2014.

5. 王延峰,谢富纪,“上海市“十一五”期间城市创新体系建设目标与思路 ”, 上海管理科学,2005.

6. 王延峰,谢富纪,“企业动态技术创新矩阵层次结构模型” , 技术经济与管理研究 , 2004.

7. Y Huang, D He, Y Xu, Y Wang, W Zhang, M Wang,“Improved Bootstrap Design for Frequency-Domain Signaling Transmission” , 2017.

8. Q Chen, L Xi, Y Wang, “The impact of release times, lot size, and scheduling policy in an A&T facility ”, International Journal of Advanced Manufacturing Technology ,2006.

9. Y Cao, L Wang, K Xu, C Kou, Y Zhang, G Wei, J He, Y Wang, L Zhao,“Information theory-based algorithm for in silico prediction of PCR products with whole genomic sequences as templates ”, BMC Bioinformatics ,2005.

{{EngLish?'Conference Papers':'会议论文'}}

1. K. Du, Y. Zhang, H. Guan, Q. Tian, Y. Wang, S. Cheng, J. Lin, "FTL: A universal framework for training low-bit DNNs via Feature Transfer", ECCV 2020, accepted.

2. Y. Xue, S. Feng, Y. Zhang*, X. Zhang, Y. Wang, "Dual-task Self-supervision for Cross-Modality Domain Adaptation", MICCAI 2020, accepted.

3. M. Li, S. Chen*, Y. Zhao, Y. Zhang*, Y. Wang, Q. Tian, "Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction", CVPR 2020 (Oral), pp. 214-223. (Source code)

4. X. Liao, W. Li, Q. Xu, X. Wang*, B. Jin*, X. Zhang, Y. Wang, Y. Zhang*, "Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning", CVPR 2020, pp. 9394-9402.

5. H. Wu, J. Yao, J. Wang, Y. Chen, Y. Zhang*, Y. Wang, "Collaborative Label Correction via Entropy Thresholding", ICDM 2019, pp. 1390-1395.

6. B. Lai, S. Peng, G. Yao, Y. Zhang*, X. Zhang, Y. Wang, H. Zhao, "Spatial Regularized Classification Network for Spinal Dislocation Diagnosis", H.-I. Suk et al. (Eds.): MLMI 2019, LNCS 11861, pp. 9-17, 2019.

7. Y Gu, Y Zhang, J Chang, Y Wang, “An element sensitive saliency model with position prior learning for web pages”, ACM International Conference Proceeding Series 2019, accepted.

8. S. Peng, B. Lai, G. Yao, X. Zhang, Y. Zhang*, Y. Wang, H. Zhao, "Learning-Based Bone Quality Classification Method for Spinal Metastasis", H.-I. Suk et al. (Eds.): MLMI 2019, LNCS 11861, pp. 426-434, 2019.

9. S. Peng, B. Lai, G. Yao, X. Zhang, Y. Zhang*, Y. Wang, H. Zhao, "Weakly Supervised Segmentation of Vertebral Bodies with Iterative Slice-propagation", In: Wang Q. et al. (eds) Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data. DART 2019, MIL3ID 2019. Lecture Notes in Computer Science, vol 11795. Springer, Cham.

10. Y. Zhou, Y. Zhang*, Y. Wang, Q. Tian, "Accelerate CNN via Recursive Bayesian Pruning", ICCV 2019, pp. 3306-3315.

11. M. Li, S. Chen, X. Chen, Y. Zhang, Y. Wang, Q. Tian, "Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition", CVPR 2019, pp. 3595-3603.

12. Y. Wang, L. Xie, S. Qiao, Y. Zhang*, W. Zhang, A. Yuille, "Multi-Scale Spatially-Asymmetric Recalibration for Image Classification", ECCV 2018, pp. 523-539.

13. J. Chang, Y. Gu, Y. Zhang*, Y. Wang, "Chinese Handwriting Imitation with Hierarchical Generative Adversarial Network", BMVC 2018: 290.

14. H Zhao, X Chen, J Yao, Y Zhang, Y Wang,” Recommendation with Hybrid Interest Model”, 18th IEEE International Conference on Data Mining Workshops (ICDMW) 2018, accepted.

15. Y Zhou, S Huang, Y Zhang, Y. Wang, “Deep hashing with triplet quantization loss”, 2017 IEEE Visual Communications and Image Processing, VCIP 2017.

16. Z Jiang, Y Wang, W Chen, X Wang, Y Zhang, J Mei, Z Huang, “Cold-start group profiling with a clustering-coupled topic model”, Communications in Computer and Information Science, 2018.

17. Y. Li, M. Li, Y. Zhang, Y Wang, "Unsupervised Local Facial Attributes transfer Using Dual Discriminative Adversarial Networks", ICME 2018.

18. H Cai, Y Zhang, Y Wang, X Wang, J Mei, Z Huang, “Predicting relative popularity via an end-to-end multi-modality model”, Communications in Computer and Information Science, 2018.

19. Y Feng, F Wu, X Shao, Y Wang, X Zhou, “Joint 3d face reconstruction and dense alignment with position map regression network”, Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,2018.

20. H Hong, D He, Y Xu, Y Wang, W Zhang, Y Wang, “Gradient descent cyclic algorithm An algorithm to design the filter set in TDCFS method”, IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB, 2017.

21. M Cheng, Y Xu, J Sun, Y Wang, J Song, K Park, “NDMP- An Emerging MPEG Standard for Network Distributed Media Processing”, 2017 IEEE Visual Communications and Image Processing (VCIP), 2017.

22. H Hong, D He, Y Xu, Y Wang, W Zhang, Y Wang, “Gradient Descent Cyclic Algorithm - An Algorithm to Design the Filter Set in TDCFS Method”, 2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB),2017.

23. Y Zhang, Y Wang, W Cai, S Zhou, Y Zhang, “From theory to practice: Efficient active cost-sensitive classification with expected error reduction”, Proceedings of the 17th Siam International Conference on Data Mining, SDM 2017.

24. Y Zhou, S Huang, Y Wang, Y Wang, “Deep Hashing with Triplet Quantization Loss”, 2017 IEEE Visual Communications and Image Processing (VCIP).

25. W Zhang, D He, Y Guan, Y Xu, Y Wang, Y Wang, “Consideration and Application of Smart Broadcasting”, 2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB).

26. W Zhang, D He, Y Guan, Y Xu, Y Wang, Y Wang, “Consideration and application of smart broadcasting”, IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB.


1. 王延峰, 赖柏霖, 张小云, 张娅, 赵晖, 顾一峰, 李跃华, 姚光宇:脊骨脱位辅助诊断方法及系统,申请专利号:CN201910912803.7

2. 王延峰, 彭诗奇, 张娅, 赵晖, 顾一峰, 李跃华, 姚光宇:适用于脊柱转移肿瘤骨质的质量分类方法及系统,申请专利号:CN201910881871.1

3. 王延峰, 周越夫, 张娅:基于变分推断的逐层神经网络剪枝方法和系统,申请专利号:CN201910195272.4

4. 王延峰, 赵培森, 张娅:从全局到类别特征表达学习的动作识别方法和系统,申请专利号:CN201811612590.8

5. 王延峰:利用光流指导特征融合的物体实例分割方法,申请专利号:CN201811603866.6

6. 王延峰:行驶轨迹风险评估方法和系统,申请专利号:CN201811408039.1

7. 王延峰, 熊帅, 刘宜璠, 徐胤, 何大治:一种用于STL/SFN传输的RTP协议封装方法,申请专利号:CN201710327818.8

8. 王延峰, 周越夫, 黄衫衫, 张娅:一种有监督深度哈希快速图片检索方法及系统,申请专利号:CN201710555687.9(已授权)

9. 王延峰, 彭诗奇, 张娅, 赵晖, 顾一峰, 李跃华, 姚光宇:基于自训练和切片传播的弱监督脊椎椎体分割方法和系统,申请专利号:CN201910989817.9

10. 张娅, 赵培森, 王延峰:约束时域关系的视频动作定位方法和系统,申请专利号:CN202010032794.5

11. 张娅, 李茂森, 赵阳桁, 王延峰:面向人体骨架的运动预测方法及系统,申请专利号:CN202010014577.3

12. 张娅, 廖选, 李文浩, 徐琪森, 王祥丰, 金博, 张小云, 王延峰:交互式图像分割方法、系统及终端,申请专利号:CN201911405917.9

13. 张娅, 鞠陈, 王延峰:一种基于自适应采样策略的弱监督视频时序动作检测方法和系统,申请专利号:CN202010403823.4

14. 张小云, 李圣杨, 张娅, 王延峰, 王晓霞, 钟玉敏, 姚晓芬:CT扫描图像的儿童神经母细胞瘤分割方法、系统及装置,申请专利号:CN201911206067.X

15. 徐异凌, 张文军, 殷骄阳, 陈浩, 王延峰, 管云峰:支持大跨度相关性信息编码的标识方法及系统 ,申请专利号:CN201810974952.1

16. 张娅, 李茂森, 陈旭, 王延峰:人体骨架动作识别方法、系统及介质,申请专利号:CN201910411801.X

17. 张娅, 李智康, 王延峰:基于协同学习的弱监督语义分割方法及系统,申请专利号:CN201910619773.0

18. 张娅, 张烨珣, 王延峰:基于对抗学习的无监督领域适应方法、系统及介质,申请专利号:CN201910276847.5

19. 张娅, 汶川, 常杰, 王延峰:基于协同笔画优化的个性化手写体迁移方法和系统,申请专利号:CN201910195271.X

20. 张娅, 崔克楠, 陈旭, 姚江超, 王延峰:基于协同学习的用户兴趣建模方法和系统,申请专利号:CN201811287804.9

21. 张娅, 陈旭, 姚江超, 李茂森, 王延峰:基于变分解耦合方式对符号有向网络的表达学习方法,申请专利号:CN201811184604.0

22. 徐异凌、张文军、谢绍伟、陈浩、孙军、王延峰、柳宁:一种基于媒体自身属性以支持空间分块的存储与传输方法,申请专利号:ZL 2016 1 0056411.1

23. 张娅, 陈旭, 崔克楠, 姚江超, 王延峰:基于物品关联关系的序列化推荐方法,申请专利号:CN201811116273.7

24. 徐异凌, 李哲, 王恒超, 王延峰, 孙军:基于分组的点云码流封装方法和系,申请专利号: CN201910027716.3

25. 张文军, 徐胤, 何大治, 高娜, 张根宁, 蔡炀, 王延峰:一种LDPC码字结构及码字编码方法,申请专利号:CN201710461422.2

26. 何大治, 刘宜璠, 徐胤, 熊帅, 王延峰, 张文军:用于STL-SFN传输过程的数据报头结构及封装方法,申请专利号:CN201710332187.9

27. 张娅, 王嘉杰, 姚江超, 王延峰:基于协同学习的弱监督检测模型训练方法及系统,申请专利号:CN201810328284.5

28. 张文军, 徐胤, 何大治, 洪含绛, 张根宁, 王延峰:比特交织编码调制方法及其解交织解码解调方法,申请专利号:CN201710200896.1

29. 张娅, 常杰, 王延峰:一种多媒体页面视觉显著性预测方法及系统,申请专利号:CN201810343404.9

30. 何大治, 刘宜璠, 熊帅, 徐胤, 王延峰:一种基于多业务TS流的ALP封装方法,申请专利号:CN201710027313.X

31. 张文军, 张根宁, 王延峰, 何大治, 徐胤, 刘宜璠, 熊帅, 赵康:应用于广播通信系统的信令码编码方法及对应的译码方法,申请专利号:CN201611060218.1

32. 张娅, 张烨珣, 蔡文彬, 王延峰:基于少量样本生成的任意风格和内容的迁移方法和系统,申请专利号:CN201710957685.2

33. 张娅, 常杰, 顾宇俊, 王延峰:基于对抗网络的汉字字体迁移系统,申请专利号:CN201710741335.2

34. 张娅, 姚江超, 王嘉杰, 王延峰:在标签含噪情况下基于质量嵌入的图像分类方法及系统,申请专利号:CN201710599924.1(已授权)

35. 张娅, 王仲豪, 顾宇俊, 王延峰:基于视觉注意力模型的高精度服装图像检索方法及系统,申请专利号:CN201710567746.4

36. 徐异凌, 王延峰, 黄倩, 谢绍伟, 管云峰:沉浸媒体内容随用户移动变化的方法及系统,申请专利号:CN201811108139.2


2019年 上海市科技进步一等奖(No.01)

2017年 上海市科技进步一等奖(No.03)

2015年 上海市五四青年奖章

2013年 上海市十大IT新锐提名奖

2013年 中国王选新闻科技进步一等奖

2013 年 国家广播电视电影总局科技进步一等奖

2005年 上海交通大学校长奖



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{{EngLish?'Research Projects':'科研项目'}}