刘祥龙
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基本信息
姓名：刘祥龙
性别：
在岗性质：
最高学位：
专业技术职务：副教授

毕业学校：北京航空航天大学
行政职务：
所在院校：信息工程学院
联系电话：**
电子邮箱：xlliu@buaa.edu.cn



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研究方向

工作经历

教育经历
刘祥龙，男，博士，副教授。2014年在北京航空航天大学获得博士学位，师从李未院士，2011年-2012年国家公派美国哥伦比亚大学进行联合培养，师从Shih-Fu Chang教授。现任职于北京航空航天大学软件开发环境国家重点实验室，主要研究大数据检索、大规模视觉分析、高效深度学习等。近年来，作为项目主持人或主要研发人员参与了国家自然科学基金、核高基国家重大专项、国家973计划等项目，发表IEEE CVPR、ICCV、AAAI等国际会议及期刊论文50余篇。担任SCI期刊Frontiers of Computer Science青年副编辑、Pattern Recognition、JVIP、Advance in Multimedia等期刊客座编辑、ACM MM 2019领域主席、AAAI 2019 SPC，中央军委科技委重点项目专家，国家新一代人工智能产业创新联盟启智开源开放平台技术委员会委员，曾作为主要执笔人参与国家新一代人工智能实施建议编写。获得省部级科技一等奖1项，多媒体领域国际著名会议ICME 2011最佳论文提名、2015年中国计算机学会优秀博士论文、中国计算机学会首届青年人才发展计划、微软铸星计划、微软联合研究奖、IEEE CVPR 2014/2016青年学者奖等，指导学生获得多媒体知名会议PCM 2018最佳学生论文。
科研项目
(1) 北京市科技新星计划，2019-11至2022-10，在研，主持(2) 国防科技创新重点项目（课题），2019-03至2020-08，在研，主持(3) 国防科技创新探索基金，2019-03至2019-12，在研，主持(4) 工信部面向人工智能基础技术及应用的检验检测基础服务平台建设，2019-12至2020-09，在研，主持(5) 科技部国家重点研发计划（子课题），2019-01至2021-12，在研，主持(6) 国家自然科学基金面上项目，面向视频大数据检索的哈希方法研究，2019-01至2022-12，在研，主持
荣誉奖项

社会兼职

备注
获奖成果(1) 多模态数据协同计算理论与方法, 陕西省科学技术厅, 自然科学, 省部一等奖, 2019(2) 北京市科技新星计划, 北京市科学技术委员会(3) 最佳学生论文, The 2018 Pacific-Rim Conference on Multimedia, 国际学术奖, 2018(4) 微软亚洲研究院铸星计划, 微软亚洲研究院, 2017(5) Young Researcher Support, IEEE CVPR 2016(6) 中国计算机学会青年人才发展计划, 中国计算机学会，2015(7) 中国计算机学会优秀博士学位论文, 中国计算机学会, 2015代表性论文(1)Jun Li; Xianglong Liu*; Zhuofan Zong; Wanru Zhao; Mingyuan Zhang; Jingkuan Song; Graph Attention Based Proposal 3D ConvNets for Action Detection, 34th AAAI Conference on Artificial Intelligence (AAAI), 美国纽约, 2020-2-7至2020-2-12. (会议论文)(2)Xianglong Liu; Qiang Fu; Deqing Wang; Xiao Bai; Xinyu Wu*; Dacheng Tao; Distributed Complementary Binary Quantization for Joint Hash Table Learning, IEEE Transactions on Neural Networks and Learning Systems, 2020, 0: 1-12. (期刊论文)(3)Yi Xu; Xianglong Liu*; Binshuai Wang; Renshuai Tao; Ke Xia; Xianbin Cao; Fast Nearest Subspace Search via Random Angular Hashing, IEEE Transactions on Multimedia, 2020, 0. (期刊论文)(4)Yan Wu; Xianglong Liu*; Haotong Qin; Ke Xia; Sheng Hu; Yuqing Ma; Meng Wang; Boosting Temporal Binary Coding for Large-scale Video Search, IEEE Transactions on Multimedia, 2020, 0. (期刊论文)(5)Jun Li; Xianglong Liu*; Wenxuan Zhang; Mingyuan Zhang; Jingkuan Song; Nicu Sebe; Spatio-Temporal Attention Networks for Action Recognition and Detection, IEEE Transactions on Multimedia, 2020, 0. (期刊论文)(6)De Xie; Cheng Deng*; Chao Li; Xianglong Liu*; Dacheng Tao; Multi-Task Consistency-Preserving Adversarial Hashing for Cross-Modal Retrieval, IEEE Transactions on Image Processing, 2020, 29: 3626-3637. (期刊论文)(7)Haotong Qin; Ruihao Gong; Xianglong Liu*; Xiao Bai; Jingkuan Song; Nicu Sebe; Binary Neural Network: A Survey, Pattern Recognition, 2020, 0. (期刊论文)(8)Jun Li; Xianglong Liu*; Mingyuan Zhang; Deqing Wang; Spatio-temporal deformable 3D ConvNets with attention for action recognition, Pattern Recognition, 2020, 98. (期刊论文)(9)Lei Zhou; Xiao Bai*; Xianglong Liu; Jun Zhou; Edwin R.Hancock; Learning Binary Code for Fast Nearest Subspace Search, Pattern Recognition, 2020, 98. (期刊论文)(10)Shan An; Guangfu Che; Fangru Zhou; Xianglong Liu*; Xin Ma; Yu Chen; Fast and Incremental Loop closure Detection using Proximity Graphs, IEEE/RSJ International Conference on Intelligent Robots and Systems 2019, 中国澳门, 2019-11-3至2019-11-8. (会议论文)(11)Kun Wei; Muli Yang; Hao Wang; Cheng Deng*; Xianglong Liu*; Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition, 17th IEEE International Conference on Computer Vision (IEEE ICCV), 首尔, 2019-10-27至2019-11-3. (会议论文)(12)Lei Zhou; Xiao Bai; Dong Wang; Xianglong Liu*; Jun Zhou; Edwin Hancock; Latent Distribution Preserving Deep Subspace Clustering, 2019 International Joint Conference on Artificial Intelligence (IJCAI), 中国澳门, 2019-8-10至2019-8-16. (会议论文)(13)Yuqing Ma; Xianglong Liu*; Shihao Bai; Lei Wang; Dailan He; Aishan Liu; Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation, 2019 International Joint Conference on Artificial Intelligence (IJCAI), 中国澳门, 2019-8-10至2019-8-16. (会议论文)(14)Ruiqing Xu; Chao Li; Junchi Yan; Cheng Deng*; Xianglong Liu; Graph Convolutional Network Hashing for Cross-Modal Retrieval, 2019 International Joint Conference on Artificial Intelligence (IJCAI), 中国澳门, 2019-8-10至2019-8-16. (会议论文)(15)Shan An*; Zhibiao Huang; Guangfu Che; Xianglong Liu; Xin Ma; Yu Chen; Quarter-Point Codeword Expansion for Product Quantization, 2019 IEEE International Conference on Multimedia and Expo (IEEE ICME), 中国上海, 2019-7-8至2019-7-12. (会议论文)(16)Chao Li; Cheng Deng*; Lei Wang; De Xie; Xianglong Liu*; Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval, 33rd AAAI Conference on Artificial Intelligence (AAAI), 美国, 2019-1-27至2019-2-1. (会议论文)(17)Aishan Liu; Xianglong Liu*; Jiaxin Fan; Yuqing Ma; Anlan Zhang; Huiyuan Xie; Dacheng Tao; Perceptual-Sensitive GAN for Generating Adversarial Patches, 33rd AAAI Conference on Artificial Intelligence (AAAI), 美国, 2019-1-27至2019-2-1. (会议论文)(18)Lianli Gao; Kaixuan Fan; Jingkuan Song*; Xianglong Liu; Xing Xu; Heng Tao Shen*; Deliberate Attention Networks for Image Captioning, 33rd AAAI Conference on Artificial Intelligence (AAAI), 美国, 2019-1-27至2019-2-1. (会议论文)(19)Xiangpeng Li; Jingkuan Song*; Lianli Gao; Xianglong Liu; Wenbing Huang; Xiangnan He; Chuang Gan; Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering, 33rd AAAI Conference on Artificial Intelligence (AAAI), 美国, 2019-1-27至2019-2-1. (会议论文)(20)Lei Huang; Yuqing Ma; Xianglong Liu*; A general non-parametric active learning framework for classification on multiple manifolds, Pattern Recognition Letters, 2019, 130(1): 250-258. (期刊论文)(21)Cheng Deng*; Yumeng Xue; Xianglong Liu; Chao Li; Dacheng Tao; Active transfer learning network: A unified deep joint spectral–spatial feature learning model for hyperspectral image classification, IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(3): 1741-1754. (期刊论文)(22)Weimin Chen; Xianglong Liu*; Weighted Quantization and Hamming Search for Fast Image Super-Resolution, 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018, 新加坡, 2018-11-17至2018-11-20. (会议论文)(23)Lianli Gao*; Pengpeng Zeng; Jingkuan Song; Xianglong Liu; Heng Tao Shen*; Examine before You Answer: Multi-task Learning with Adaptive-attentions for Multiple-choice VQA, 2018 ACM Conference on Multimedia (ACM MM), 韩国, 2018-10-22至2018-10-26. (会议论文)(24)Binshuai Wang; Xianglong Liu*; Ke Xia; Kotagiri Ramamohanarao; Dacheng Tao; Random Angular Projection for Fast Nearest Subspace Search, 2018 Pacific-Rim Conference on Multimedia (PCM), 中国, 2018-9-21至2018-9-22. (会议论文)(25)Yuqing Ma; Yue He; Fan Ding; Sheng Hu; Jun Li; Xianglong Liu*; Progressive Generative Hashing for Image Retrieval, 2018 International Joint Conferences on Artificial Intelligence (IJCAI), Stockholm, Sweden, 2018-7-13至2018-7-19. (会议论文)(26)Qiang Fu; Xu Han; Xianglong Liu*; Jingkuan Song; Cheng Deng; Complementary Binary Quantization for Joint Multiple Indexing, 2018 International Joint Conferences on Artificial Intelligence (IJCAI), 瑞典, 2018-7-13至2018-7-19. (会议论文)(27)Ning Li; Chao Li; Cheng Deng*; Xianglong Liu; Xinbo Gao; Deep Joint Semantic-Embedding Hashing, 2018 International Joint Conferences on Artificial Intelligence (IJCAI), 瑞典, 2018-7-13至2018-7-19. (会议论文)(28)Jingkuan Song; Jingqiu Zhang; Lianli Gao*; Xianglong Liu; Heng Tao Shen*; Dual Conditional GANs for Face Aging and Rejuvenation, 2018 International Joint Conferences on Artificial Intelligence (IJCAI), 瑞典, 2018-7-13至2018-7-16. (会议论文)(29)Xin Miao*; Xiantong Zhen*; Xianglong Liu; Cheng Deng; Vassilis Athitsos; Heng Huang*; Direct Shape Regression Networks for End-to-End Face Alignment, 2018 IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR), 美国, 2018-6-18至2018-6-22. (会议论文)(30)Lei Zhou; Xiao Bai*; Xianglong Liu; Jun Zhou; Binary Coding by Matrix Classifier for Efficient Subspace Retrieval, 2018 ACM on International Conference on Multimedia Retrieval (ACM ICMR), 日本, 2018-6-11至2018-6-14. (会议论文)(31)Lei Huang*; Xianglong Liu; Bo Lang; Adams Wei Yu; Yongliang Wang; Bo Li; Orthogonal weight normalization: Solution to optimization over multiple dependent stiefel manifolds in deep neural networks, 32nd AAAI Conference on Artificial Intelligence (AAAI), 美国, 2018-2-2至2018-2-7. (会议论文)(32)Xu Yang; Cheng Deng; Xianglong Liu*; Feiping Nie; New L21-Norm Relaxation of Multi-Way Graph Cut for Clustering, 32nd AAAI Conference on Artificial Intelligence (AAAI), 美国, 2018-2-7至2018-2-11. (会议论文)(33)Jiexi Yan; Cheng Deng*; Xianglong Liu; Dictionary Learning in Optimal Metric Space, 32nd AAAI Conference on Artificial Intelligence (AAAI), 美国, 2018-2-7至2018-2-11. (会议论文)(34)Cheng Deng*; Zhaojia Chen; Xianglong Liu; Xinbo Gao; Dacheng Tao; Triplet-Based Deep Hashing Network for Cross-Modal Retrieval, IEEE Transactions on Image Processing, 2018, 27(8): 3893-3903. (期刊论文)(35)Xuanhan Wang; Lianli Gao*; Peng Wang; Xiaoshuai Sun; Xianglong Liu; Two-Stream 3-D convNet Fusion for Action Recognition in Videos With Arbitrary Size and Length, IEEE Transactions on Multimedia, 2018, 20(3): 634-644. (期刊论文)(36)Cheng Deng; Xianglong Liu*; Chao Li; Dacheng Tao; Active multi-kernel domain adaptation for hyperspectral image classification, Pattern Recognition, 2018, 77: 306-315. (期刊论文)(37)Bo Lang*; Bo Wu; Yang Liu; Xianglong Liu; Boyu Zhang; Fast graph similarity search via hashing and its application on image retrieval, Multimedia Tools and Applications, 2018, 77(13): 16177-16198. (期刊论文)(38)Xiaopeng Zhang; Hui Zhang; Yong Chen*; Xianglong Liu; Large-Margin Supervised Hashing, 2017 International Conference on Neural Information Processing, 中国, 2017-12-14至2017-12-16. (会议论文)(39)Ke Xia; Yuqing Ma; Xianglong Liu*; Yadong Mu; Li Liu; Temporal Binary Coding for Large-Scale Video Search, 2017 ACM International Conference on Multimedia (ACM MM), Mountain View, CA, United states, 2017-10-23至2017-10-27. (会议论文)(40)Lei Huang; Xianglong Liu*; Yang Liu; Bo Lang; Dacheng Tao; Centered Weight Normalization in Accelerating Training of Deep Neural Networks, 2017 IEEE International Conference on Computer Vision (IEEE ICCV), 意大利, 2017-10-22至2017-10-29. (会议论文)(41)Jie Xu*; Xianglong Liu; Zhuoyuan Huo; Cheng Deng; Feiping Nie; Heng Huang; Multi-Class Support Vector Machine via Maximizing Multi-Class Margins, 2017 International Joint Conference on Artificial Intelligence (IJCAI), 澳大利亚, 2017-8-19至2017-8-25. (会议论文)(42)Li Liu*; Fumin Shen; Yumin Shen; Xianglong Liu; Ling Shao; Deep sketch hashing: Fast free-hand sketch-based image retrieval, 2017 IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR), 美国, 2017-6-22至2017-6-25. (会议论文)(43)Xianglong Liu*; Cheng Deng; Yadong Mu; Zhujin Li; Boosting Complementary Hash Tables for Fast Nearest Neighbor Search, The Thirty-One AAAI Conference on Artificial Intelligence (AAAI), 美国, 2017-2-4至2017-2-9. (会议论文)(44)Erkun Yang*; Cheng Deng; Wei Liu; Xianglong Liu; Dacheng Tao; Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval., The Thirty-One AAAI Conference on Artificial Intelligence (AAAI) , 美国, 2017-2-4至2017-2-9. (会议论文)(45)Xianglong Liu; Zhujin Li; Cheng Deng*; Dacheng Tao; Distributed Adaptive Binary Quantization for Fast Nearest Neighbor Search, IEEE Transactions on Image Processing, 2017, 26(11): 5324-5336. (期刊论文)