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纪荣嵘
厦门大学 教授、博士生导师
厦门大学 科技处处长、人工智能研究院负责人、多媒体可信感知与高效计算教育部重点实验室主任
地址:厦门大学翔安校区 信息学院 邮编:361100
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) |
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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。百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,2020年福建省科技进步一等奖,2022年霍英东青年科学奖。
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、中国自动化学会模式识别与机器智能专业委员会副主任、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年国家级青年人才获得者,2020年获国家杰出青年科学基金,2024年入选享受国务院政府特殊津贴专家。
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科研推荐
新 闻
代表论文[更多]
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Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Yonghong Tian, Jie Chen, Rongrong Ji*. Training-free Transformer Architecture Search with Zero-cost Proxy Guided Evolution.[pdf][bibtex] IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI).2024
@inproceedings{TPAMI: 2024,
Author={Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Yonghong Tian, Jie Chen, Rongrong Ji*.},
Title={Training-free Transformer Architecture Search with Zero-cost Proxy Guided Evolution.},
Booktitle={IEEE Transactions on Pattern Analysis and Machine Intelligence},
Year={2024}}
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Bohong Chen, Mingbao Lin, Rongrong Ji, Liujuan Cao. Prioritized Subnet Sampling for Resource-Adaptive Supernet Training.[pdf][bibtex] IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI).2023
@inproceedings{PAMI: 2023,
Author={Bohong Chen, Mingbao Lin, Rongrong Ji, Liujuan Cao*.},
Title={Prioritized Subnet Sampling for Resource-Adaptive Supernet Training.},
Booktitle={IEEE Transactions on Pattern Analysis and Machine Intelligence},
year={2023}}
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Mingbao Lin, Bohong Chen, Fei Chao, Rongrong Ji*. Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion.[pdf][bibtex] IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI).2023
@inproceedings{PAMI: 2023,
Author={Mingbao Lin, Bohong Chen, Fei Chao, Rongrong Ji*.},
Title={Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion.},
Booktitle={IEEE Transactions on Pattern Analysis and Machine Intelligence},
year={2023}}
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Mingbao Lin, Yuxin Zhang, Yuchao Li, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Yonghong Tian, Rongrong Ji
*. 1xN Pattern for Pruning Convolutional Neural Networks.
[pdf][bibtex] IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI). 2022
@inproceedings{TPAMI: 2022,
Author={Mingbao Lin, Yuxin Zhang, Yuchao Li, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Yonghong Tian, Rongrong Ji*.},
Title={1xN Pattern for Pruning Convolutional Neural Networks.},
Booktitle={IEEE Transactions on Pattern Analysis and Machine Intelligence},
Year={2022}}
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Yue Gao, Yifan Feng, Shuyi Ji ,Rongrong Ji*. HGNN+: Towards General Hypergraph Neural Networks.[pdf][bibtex] IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI). 2022
@inproceedings{TPAMI: 2022,
Author={Yue Gao, Yifan Feng, Shuyi Ji, Rongrong Ji*.},
Title={HGNN+: Towards General Hypergraph Neural Networks.},
Booktitle={IEEE Transactions on Pattern Analysis and Machine Intelligence},
Year={2022}}
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Boyu Yang, Mingbao Lin, Yunxiao Zhang, Binghao Liu, Xiaodan Liang, Rongrong Ji, Qixiang Ye. Dynamic Support Network for Few-shot Class Incremental Learning.[pdf][bibtex] IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI). 2022
@inproceedings{TPAMI: 2022,
Author={Boyu Yang, Mingbao Lin, Yunxiao Zhang, Binghao Liu, Xiaodan Liang, Rongrong Ji, Qixiang Ye.},
Title={Dynamic Support Network for Few-shot Class Incremental Learning.},
Booktitle={IEEE Transactions on Pattern Analysis and Machine Intelligence},
Year={2022}}
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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}
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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}
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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}
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- 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}
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- 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}
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- 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}
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- 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}
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