| 2025 | ICASSP | Few-shot Image Classification based on Attribute Prediction and Selection. | Xin Sun, Boqian Liu, Xinchen Ye, Guanqiao Chen, Rui Xu, Haojie Li |
| 2025 | ICASSP | Self-Supervised Monocular Depth Estimation from Videos via Pose-Adaptive Reconstruction. | Xin Sun, Boqian Liu, Xinchen Ye, Rui Xu, Haojie Li |
| 2025 | ICASSP | 2.5D Top-K Ranked Multiple Instance Learning to Classify NSCLC PD-L1 Status on CT Images. | Rui Xu, Huadong Liu, Yongcen Li, Xinchen Ye, Zhihui Wang, Hongkai Wang, Haojie Li, Yi Wang, Dingpin Huang, Fangyi Xu, Yi Gan, Yuan Tu, Hongjie Hu |
| 2025 | ICASSP | Mining Scene Structural Guidance for Thermal Images in Self-Supervised Monocular Depth Estimation. | Xinchen Ye, Xia Mao, Rui Xu, Haojie Li |
| 2025 | ICASSP | Delving into Transformer-based Network Architecture for Guided Depth Super-Resolution. | Xinchen Ye, Aokai Zhang, Rui Xu, Haojie Li |
| 2025 | MICCAI | EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography. | Xuan Yang, Rui Xu, Xinchen Ye, Zhi-Hui Wang, Miao Zhang, Yi Wang, Xin Fan, Hongkai Wang, Qingxiong Yue, Xiangjian He, Yen-Wei Chen |
| 2024 | MICCAI | Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images. | Rui Xu, Dan Yu, Xuan Yang, Xinchen Ye, Zhihui Wang, Yi Wang, Hongkai Wang, Haojie Li, Dingpin Huang, Fangyi Xu, Yi Gan, Yuan Tu, Hongjie Hu |
| 2023 | ICASSP | Cross-Modality depth Estimation via Unsupervised Stereo RGB-to-infrared Translation. | Shi Tang, Xinchen Ye, Fei Xue, Rui Xu |
| 2022 | ICASSP | Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions. | Rui Xu, Yufeng Wang, Xinchen Ye, Pengcheng Wu, Yen-Wei Chen, Fangyi Xu, Wenchao Zhu, Chao Chen, Yong Zhou, Hongjie Hu, Xiaofeng Qu, Shoji Kido, Noriyuki Tomiyama |
| 2022 | ICASSP | Underwater Stereo Matching Via Unsupervised Appearance And Feature Adaptation Networks. | Wei Zhong, Yazhi Yuan, Xinchen Ye, Dian Zheng, Rui Xu |
| 2022 | MICCAI | Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation. | Rui Xu, Jiaxin Zhao, Xinchen Ye, Pengcheng Wu, Zhihui Wang, Haojie Li, Yen-Wei Chen |
| 2022 | MICCAI | Low-Dose CT Reconstruction via Dual-Domain Learning and Controllable Modulation. | Xinchen Ye, Zheng Sun, Rui Xu, Zhihui Wang, Haojie Li |
| 2021 | CVPR | Leveraging Line-Point Consistence To Preserve Structures for Wide Parallax Image Stitching. | Qi Jia, Zhengjun Li, Xin Fan, Haotian Zhao, Shiyu Teng, Xinchen Ye, Longin Jan Latecki |
| 2021 | CVPR | Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution. | Baoli Sun, Xinchen Ye, Baopu Li, Haojie Li, Zhihui Wang, Rui Xu |
| 2020 | ICASSP | Unsupervised Content-Preserved Adaptation Network for Classification of Pulmonary Textures from Different CT Scanners. | Rui Xu, Zhen Cong, Xinchen Ye, Shoji Kido, Noriyuki Tomiyama |
| 2020 | ICASSP | Retinal Vessel Segmentation via a Semantics and Multi-Scale Aggregation Network. | Rui Xu, Xinchen Ye, Guiliang Jiang, Tiantian Liu, Liang Li, Satoshi Tanaka |
| 2020 | ICPR | Unsupervised Detection of Pulmonary Opacities for Computer-Aided Diagnosis of COVID-19 on CT Images. | Rui Xu, Xiao Cao, Yufeng Wang, Yen-Wei Chen, Xinchen Ye, Lin Lin, Wenchao Zhu, Chao Chen, Fangyi Xu, Yong Zhou, Hongjie Hu, Shoji Kido, Noriyuki Tomiyama |
| 2020 | ICPR | BG-Net: Boundary-Guided Network for Lung Segmentation on Clinical CT Images. | Rui Xu, Yi Wang, Tiantian Liu, Xinchen Ye, Lin Lin, Yen-Wei Chen, Shoji Kido, Noriyuki Tomiyama |
| 2020 | ICPR | Detail- Revealing Deep Low-Dose CT Reconstruction. | Xinchen Ye, Yuyao Xu, Rui Xu, Shoji Kido, Noriyuki Tomiyama |
| 2020 | MICCAI | Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network. | Rui Xu, Tiantian Liu, Xinchen Ye, Lin Lin, Yen-Wei Chen |
| 2019 | CogSci | Does Video Content Facilitate or Impair Comprehension of Documentaries? The Effect of Cognitive Abilities and Eye Movement Strategy. | Yueyuan Zheng, Xinchen Ye, Janet H. Hsiao |
| 2019 | ICIP | Graph Based Non-Uniform Sampling and Reconstruction of Depth Maps. | Jingyu Yang, Wenqiang Xu, Xinchen Ye, Pascal Frossard, Kun Li |
| 2018 | ICASSP | Pulmonary Textures Classification Using A Deep Neural Network with Appearance and Geometry Cues. | Rui Xu, Zhen Cong, Xinchen Ye, Yasushi Hirano, Shoji Kido |
| 2018 | ICASSP | Depth Super-Resolution with Deep Edge-Inference Network and Edge-Guided Depth Filling. | Xinchen Ye, Xiangyue Duan, Haojie Li |
| 2016 | ICASSP | Completion of structurally-incomplete matrices with reweighted low-rank and sparsity priors. | Jing-Yu Yang, Xuemeng Yang, Xinchen Ye |
| 2016 | IGARSS | Energy-efficient strategy for cloud storage based on the characteristics of remote sensing image data. | Xinchen Ye, Yurong Qian, Jiong Yu, Jiaji Wu, Hailong Zhang |
| 2016 | VCIP | Depth refinement for binocular kinect RGB-D cameras. | Jinghui Bai, Jing-Yu Yang, Xinchen Ye, Chunping Hou |
| 2016 | VCIP | Depth recovery via decomposition of polynomial and piece-wise constant signals. | Xinchen Ye, Xiaolin Song, Jing-Yu Yang, Chunping Hou, Yao Wang |
| 2014 | ICIP | Background extraction from video sequences via motion-assisted matrix completion. | Jingyu Yang, Xin Sun, Xinchen Ye, Kun Li |
| 2012 | ECCV | Depth Recovery Using an Adaptive Color-Guided Auto-Regressive Model. | Jingyu Yang, Xinchen Ye, Kun Li, Chunping Hou |