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    鲁瑞颖

    • 讲师
    • 主要任职:准聘副教授
    • 性别:女
    • 毕业院校:西安电子科技大学
    • 学历:博士研究生毕业
    • 学位:工学博士学位
    • 在职信息:在岗
    • 所在单位:网络与信息安全学院
    • 电子邮箱:

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    个人简介:

    鲁瑞颖,西安电子科技大学准聘副教授。近年来开展包括多模态信息处理、人工智能、大数据分析和时空行为理解等技术在内的交叉学科研究,重点专注视频与文本的交叉信息智能处理、大数据时空行为理解与视频/工业异常检测的理论与方法研究,在TPAMI、IJCV、TIP、NIPS、CVPR、ECCV等CCF推荐的国际权威期刊与国际顶级会议上发表多篇论文。



    主要研究方向:智能信息安全。

    1. 图像/视频/时间序列异常检测

    2. 多模态信息处理

    3. 视频压缩重构

    4. 行人重识别


    欢迎本科生实习(请与我提前邮件联系 luruiying@xidian.edu.cn)

    欢迎各学院优秀本科生联系参与课题组项目实习,联系实习时请提供能够反映个人学习能力的材料(编程基础、数学能力、英语能力)。


    1. Ruiying Lu, Ziheng Cheng, Bo Chen*, and Xin Yuan*, Motion-aware Dynamic Graph Neural Network for Video Compressive Sensing, to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.

    1. Ruiying Lu, Bo Chen*, Dandan Guo, Dongsheng Wang, and Mingyuan Zhou, Hierarchical Topic-Aware Contextualized Transformers, to appear in IEEE Transactions on Audio, Speech, and Language Processing, 2023. 

    2. Ruiying Lu, YuJie Wu, Long Tian*, Dongsheng Wang, Bo Chen, Xiyang Liu, Ruimin Hu, Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection, to appear in Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, 2023.

    3. Dongsheng Wang, Miaoge Li, Xinyang Liu, Zequn Zeng, Ruiying Lu, Bo Chen*, and Mingyuan Zhou, PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification, International Conference on Computer Vision (ICCV), Paris, France, 2023.

    4. Zequn Zeng, Hao Zhang, Zhengjue Wang, Ruiying Lu, Dongsheng Wang, Bo Chen*, ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based Polishing, to appear in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

    5. Yi.shi Xu, Dongsheng Wang, Bo Chen, Ruiying Lu, Zhibin Duan, and Mingyuan Zhou, HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding, to appear in Advances in Neural Information Processing Systems (NeurIPS), Virtual, 2022.

    6. Ruiying Lu, Bo Chen, Wenchao Chen, Penghui Wang, Hongwei Liu and Pramod K. Varshney, Heterogeneity-Aware Recurrent Neural Network for Hyperspectral and Multispectral Image Fusion, IEEE Journal of Selected Topics in Signal Processing, 16(4), 649 – 665, June 2022.

    7. Dandan Guo*Ruiying Lu*(共同一作), Bo Chen, Zequn Zeng and Mingyuan Zhou, Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning, to appear in International Journal of Computer Vision (IJCV), 130, 1920–1937, 2022.

    8. Ziheng Cheng, Bo Chen, Ruiying Lu, Zhengjue Wang, Hao Zhang, Ziyi Meng and Xin Yuan, Recurrent Neural Networks for Snapshot Compressive Imaging, to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.

    9. Ruiying Lu, Bo Chen, Guanliang Liu, Ziheng Cheng, Mu Qiao and Xin Yuan*, Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network, to appear in Internatiional Journal of Computer Vision (IJCV), 129. (12): 3279-3298.2021.

    10. Ziheng Cheng, Bo Chen, Guanliang Liu, Hao Zhang, Ruiying Lu, Zhengjue Wang and X. Yuan*, Memory-Efficient Network for Large-scale Video Compressive Sensing, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

    11. Ruiying Lu, Bo Chen, Ziheng Cheng and Penghui Wang*, RAFnet: Recurrent Attention Fusion Network of Hyperspectral and Multispectral images, Signal Processing, Volume 177, 107737, 2020.

    12. Ziheng Cheng, Ruiying Lu, Zhengjue Wang, Hao Zhang, Bo Chen*, Ziyi Meng and Xin Yuan*,  BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging, to appear in European Conference on Computer Vision (ECCV), Glasgow, August 2020.

    13. Zhengjue Wang, Bo Chen, Ruiying Lu, Hao Zhang, Hongwei Liu, and Pramod K. Varshney, FusionNet: An Unsupervised Convolutional Variational Network for Hyperspectral and Multispectral Image Fusion, IEEE Trans. on Image Processing, Vol.29. 7565-7577, 2020

    14. Dandan Guo, Bo Chen,  Ruiying Lu and Mingyuan Zhou, Recurrent Hierarchical Topic-Guided RNN for Language Generation, Proceedings of the 37th International Conference on Machine Learning, PMLR 119:3810-3821, Vienna, Austria, July 2020.



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