学术论文
- Long Tian, Hongyi Zhao, Ruiying Lu*, Rongrong Wang, YuJie Wu, Liming Wang, Xiongpeng He, Xiyang Liu, FOCT: Few-shot Industrial Anomaly Detection with Foreground-aware Online Conditional Transport, ACM International Conference on Multimedia (ACM MM), 2024.
- Zongliang Wu +, Ruiying Lu +（共同一作）, Ying Fu, Xin Yuan, Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging, European Conference on Computer Vision (ECCV Oral), 2024.
- 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.
- 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.
- 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
- 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.
- 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.
- Yi.shi Xu, Dongsheng Wang, Bo Chen*, Ruiying Lu, Zhibin Duan, and Mingyuan Zhou, HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding, Advances in Neural Information Processing Systems (NeurIPS), New Orleans, USA, 2022.
- 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.
- 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.
- 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.
- 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 International Journal of Computer Vision (IJCV), 129. (12): 3279-3298.2021.
- 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.
- 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.
- 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.
- 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
- 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.