厦门大学人工智能研究院
纪荣嵘

厦门大学    南强特聘教授,博士生导师

媒体分析与计算实验室 主任

地址:厦门大学海韵校区 行政C楼#606B 邮编:361005

电子邮件:rrji@xmu.edu.cn

硕士、博士、博士后招生中 (招生说明)(MAC实验室招生简章)


 

      主要研究方向为计算机视觉、多媒体技术和机器学习。研究侧重点是开发大数据驱动的计算机智能处理系统,进行视觉场景理解、视觉行为分析、多媒体内容理解、及视觉内容检索。当前的研究兴趣还包括面向视觉搜索的紧凑描述子、社会多媒体大数据分析、场景深度推理、人群行为理解、以及遥感图像分析等。70余篇科研论文发表于国际期刊PAMI、IJCV、TIP和国际会议CVPR、ICCV、IJCAI、AAAI、ACM Multimedia上,曾获得2007年微软学者奖、2011年ACM Multimedia最佳论文奖、2015年黑龙江省自然科学二等奖,2016年教育部技术发明一等奖,2018年福建省科技进步一等奖。

      担任CVPR 2021-2022、ACM Multimedia 2018-2022领域主席,《中国科学:技术科学》副编辑、VALSE (视觉与学习青年学者研讨会) 2017大会主席、IEEE MMSP 2015、ACM ICMR 2014、IEEE VCIP 2014、ACM MMM 2015、IEEE ISM 2015等国际会议本地\专题\领域主席、AAAI 2015、CVPR 2013、ICCV 2013、ACM Multimedia 2010-2015等四十余个国际会议的程序委员会委员、IEEE Multimedia Communication技术委员会Visual Analysis and Content Management for Communications专家组主席(2014至今)。曾任中国图象图形学学会青工委副主任、任中国图像图形学学会学术工委副主任、中国自动化学会粒计算与多尺度分析专委会副主任、中国计算机学会计算机视觉专委会常务委员、中国计算机学会学术工委委员、教育部电子信息类教指委人工智能专业建设咨询委员会委员、2017国家自然科学基金委面地青项目、2018国家自然科学基金委重点项目、2018国家自然科学基金委通用联合项目会评专家。

      2005年于哈尔滨工程大学获得本科学位,2011年于哈尔滨工业大学获得博士学位,2011到2013年于美国哥伦比亚大学任博士后研究员。2013年加盟厦门大学信息学院人工智能系,2014年获国家优秀青年科学基金,2017年获国家万人计划青年拔尖人才,2020年获国家杰出青年科学基金。

科研推荐


新  闻

代表论文[更多]

  • Xiawu Zheng, Yuhang Chen,Qiang Wang, Rongrong Ji*,Baochang Zhang, Jie Chen, Yonghong Tian, Qixiang Ye.
    MIGO-NAS: Towards Fast and Generalizable Neural Architecture Search.[pdf][bibtex]
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).2021

    @inproceedings{PAMI: 2021,
    Author={Xiawu Zheng, Yuhang Chen,Qiang Wang, Rongrong Ji*,Baochang Zhang, Jie Chen, Yonghong Tian, Qixiang Ye.},
    Title={MIGO-NAS: Towards Fast and Generalizable Neural Architecture Search.},
    Booktitle={IEEE Transactions on Pattern Analysis and Machine Intelligence},
    Year={2021}, Accept}
  • Xiawu Zheng, Yang Zhang, Sirui Hong, Huixia Li, Lang Tang, Youcheng Xiong, Jin Zhou, Yan Wang, Xiaoshuai Sun, Pengfei Zhu, Chenglin Wu, Rongrong Ji*.
    Evolving Fully Automated Machine Learning via Life-Long Knowledge Anchors.[pdf][bibtex]
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).2021

    @inproceedings{PAMI: 2021,
    Author={Xiawu Zheng, Yang Zhang, Sirui Hong, Huixia Li, Lang Tang, Youcheng Xiong, Jin Zhou, Yan Wang, Xiaoshuai Sun, Pengfei Zhu, Chenglin Wu, Rongrong Ji*.},
    Title={Evolving Fully Automated Machine Learning via Life-Long Knowledge Anchors.},
    Booktitle={IEEE Transactions on Pattern Analysis and Machine Intelligence},
    Year={2021}, Accept}
  • Xiawu Zheng, Yuhang Chen,Qiang Wang, Rongrong Ji*,Baochang Zhang, Jie Chen, Yonghong Tian, Qixiang Ye.
    MIGO-NAS: Towards Fast and Generalizable Neural Architecture Search.[pdf][bibtex]
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).2021

    @inproceedings{PAMI: 2021,
    Author={Xiawu Zheng, Yuhang Chen,Qiang Wang, Rongrong Ji*, Baochang Zhang, Jie Chen, Yonghong Tian, Qixiang Ye.},
    Title={MIGO-NAS: Towards Fast and Generalizable Neural Architecture Search.},
    Booktitle={IEEE Transactions on Pattern Analysis and Machine Intelligence},
    Year={2021}, Accept}
  • Mingbao Lin, Rongrong Ji *,Baochang Zhang, Yonghong Tian, Dacheng Tao.
    Fast Class-wise Online Hashing.[pdf][bibtex]
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).2021

    @inproceedings{PAMI: 2021,
    Author={Mingbao Lin, Rongrong Ji*, Baochang Zhang, Yonghong Tian, Dacheng Tao.},
    Title={Fast Class-wise Online Hashing},
    Booktitle={IEEE Transactions on Pattern Analysis and Machine Intelligence},
    Year={2021}, Accept}
  • Yiyi Zhou, Rongrong Ji*, Xiaoshuai Sun, Jingsong Su, Deyu Meng, Yue Gao, Chunhua Shen.
    Plenty is Plague: Fine-Grained Learning for Visual Question Answering. [pdf] [code] [bibtex]
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).2019
    
    
    @inproceedings{PAMI: 19,
    
     Author={Yiyi Zhou, Rongrong Ji*, Xiaoshuai Sun, Jingsong Su, Deyu Meng, Yue Gao, and Chunhua Shen},
    
    Title={Plenty is Plague: Fine-Grained Learning for Visual Question Answering},
    
    Booktitle={IEEE Transactions on Pattern Analysis and Machine Intelligence},
    
    Year={2019}, Accept}
    
                        
    
                        
  • Rongrong Ji, Ke Li*, Yan Wang, Feng Guo, Xiaowei Guo, Yongjian Wu, Feiyue Huang, and Jiebo Luo.
    Semi-Supervised Adversarial Monocular Depth Estimation. [pdf] [bibtex]
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).2019
    
    
    @inproceedings{PAMI: 19,
    
     Author={Rongrong Ji, Ke Li*, Yan Wang, Feng Guo, Xiaowei Guo, Yongjian Wu, Feiyue Huang, and Jiebo Luo},
    
    Title={Semi-Supervised Adversarial Monocular Depth Estimation},
    
    Booktitle={IEEE Transactions on Pattern Analysis and Machine Intelligence},
    
    Year={2019}, Accept}
    
                        
    
                        
  • Shaohui Lin, Rongrong Ji*, Chao Chen, Dacheng Tao, Jiebo Luo .
    Holistic CNN Compression via Low-rank Decomposition with Knowledge Transfer. [pdf] [bibtex]
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).2018
    
    
    @inproceedings{PAMI: 18,
    
     Author={Shaohui Lin, Rongrong Ji*, Chao Chen, Dacheng Tao, Jiebo Luo},
    
    Title={Holistic CNN Compression via Low-rank Decomposition with Knowledge Transfer},
    
    Booktitle={ IEEE Transactions on Pattern Analysis and Machine Intelligence},
    
    Year={2018}, Accept}
    
                        
    
                        
  • Hong Liu, Rongrong Ji*, Jingdong Wang, Chunhua Shen.
    Ordinal Constraint Binary Coding for Approximate Nearest Neighbor Search [pdf] [code] [bibtex]
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).2018
    
    @inproceedings{PAMI: 18,
     Author={Hong Liu, Rongrong Ji*, Jingdong Wang, Chunhua Shen},
    Title={Ordinal Constraint Binary Coding for Approximate Nearest Neighbor Search},
    Booktitle={ IEEE Transactions on Pattern Analysis and Machine Intelligence},
    Year={2018}, Accept}