Recurrent Hierarchical Topic-Guided Neural Language Models. - Dandan Guo; Bo Chen 001; Ruiying Lu; Mingyuan Zhou (CoRR, 2019)

BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging. - Ziheng Cheng; Ruiying Lu; Zhengjue Wang; Hao Zhang 050; Bo Chen 001; Ziyi Meng; Xin Yuan 002 (ECCV (24), 2020)

Recurrent Hierarchical Topic-Guided RNN for Language Generation. - Dandan Guo; Bo Chen 001; Ruiying Lu; Mingyuan Zhou (ICML, 2020)

RAFnet: Recurrent attention fusion network of hyperspectral and multispectral images. - Ruiying Lu; Bo Chen 001; Ziheng Cheng; Penghui Wang (Signal Process., 2020)

FusionNet: An Unsupervised Convolutional Variational Network for Hyperspectral and Multispectral Image Fusion. - Zhengjue Wang; Bo Chen 001; Ruiying Lu; Hao Zhang 050; Hongwei Liu 001; Pramod K. Varshney (IEEE Trans. Image Process., 2020)

Memory-Efficient Network for Large-Scale Video Compressive Sensing. - Ziheng Cheng; Bo Chen 001; Guanliang Liu; Hao Zhang 050; Ruiying Lu; Zhengjue Wang; Xin Yuan 002 (CVPR, 2021)

Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network. - Ruiying Lu; Bo Chen 001; Guanliang Liu; Ziheng Cheng; Mu Qiao; Xin Yuan 002 (Int. J. Comput. Vis., 2021)

HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding. - Yishi Xu; Dongsheng Wang 003; Bo Chen 001; Ruiying Lu; Zhibin Duan; Mingyuan Zhou (NeurIPS, 2022)

Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning. - Dandan Guo; Ruiying Lu; Bo Chen 001; Zequn Zeng; Mingyuan Zhou (Int. J. Comput. Vis., 2022)

Heterogeneity-Aware Recurrent Neural Network for Hyperspectral and Multispectral Image Fusion. - Ruiying Lu; Bo Chen 001; Jianqiao Sun; Wenchao Chen; Penghui Wang; Yuanwei Chen; Hongwei Liu 001; Pramod K. Varshney (IEEE J. Sel. Top. Signal Process., 2022)

ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based Polishing. - Zequn Zeng; Hao Zhang 050; Ruiying Lu; Dongsheng Wang 003; Bo Chen 001; Zhengjue Wang (CVPR, 2023)

PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification. - Miaoge Li; Dongsheng Wang 003; Xinyang Liu; Zequn Zeng; Ruiying Lu; Bo Chen 001; Mingyuan Zhou (ICCV, 2023)

Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection. - Ruiying Lu; Yujie Wu; Long Tian; Dongsheng Wang 003; Bo Chen 001; Xiyang Liu; Ruimin Hu (NeurIPS, 2023)

Latent Diffusion Prior Enhanced Deep Unfolding for Spectral Image Reconstruction. - Zongliang Wu; Ruiying Lu; Ying Fu; Xin Yuan (CoRR, 2023)

Recurrent Neural Networks for Snapshot Compressive Imaging. - Ziheng Cheng; Bo Chen 001; Ruiying Lu; Zhengjue Wang; Hao Zhang 050; Ziyi Meng; Xin Yuan 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging. - Zongliang Wu; Ruiying Lu; Ying Fu 001; Xin Yuan 002 (ECCV (33), 2024)

FOCT: Few-shot Industrial Anomaly Detection with Foreground-aware Online Conditional Transport. - Long Tian; Hongyi Zhao; Ruiying Lu; Rongrong Wang; Yujie Wu; Liming Wang; Xiongpeng He; Xiyang Liu (ACM Multimedia, 2024)

Topic-Aware Sensitive Information Detection in Chinese Large Language Model. - Yalin Sun; Ruiying Lu; Kang Li; Yu Zheng (TrustCom, 2024)

Hierarchical Topic-Aware Contextualized Transformers. - Ruiying Lu; Bo Chen 001; Dandan Guo; Dongsheng Wang 003; Mingyuan Zhou (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Motion-Aware Dynamic Graph Neural Network for Video Compressive Sensing. - Ruiying Lu; Ziheng Cheng; Bo Chen 001; Xin Yuan 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Advancing Hyperspectral and Multispectral Image Fusion: An Information-Aware Transformer-Based Unfolding Network. - Jianqiao Sun; Bo Chen 001; Ruiying Lu; Ziheng Cheng; Chunhui Qu; Xin Yuan 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Investigating Mask-aware Prototype Learning for Tabular Anomaly Detection. - Ruiying Lu; Jinhan Liu; Chuan Du; Dandan Guo (CoRR, 2025)

SP-Mamba: Spatial-Perception State Space Model for Unsupervised Medical Anomaly Detection. - Rui Pan; Ruiying Lu (CoRR, 2025)