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2020 – today
- 2024
[j5]Youliang Chu
, Ming Cheng, Zhiyang Lu, Zhentao Xiong, Cheng Wang:
Multilevel Interactive Enhanced Network for Infrared Small-Target Detection. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- [i7]Zhiyang Lu, Qinghan Chen, Ming Cheng:
STARFlow: Spatial Temporal Feature Re-embedding with Attentive Learning for Real-world Scene Flow. CoRR abs/2403.07032 (2024) - [i6]Zhiyang Lu, Qinghan Chen, Zhimin Yuan, Ming Cheng:
SSRFlow: Semantic-aware Fusion with Spatial Temporal Re-embedding for Real-world Scene Flow. CoRR abs/2408.07825 (2024) - 2023
- [j4]Zhiyang Lu, Jian Wang, Zheng Li, Shihui Ying, Jun Wang, Jun Shi, Dinggang Shen:
Two-Stage Self-Supervised Cycle-Consistency Transformer Network for Reducing Slice Gap in MR Images. IEEE J. Biomed. Health Informatics 27(7): 3337-3348 (2023) - [c5]Zhiyang Lu, Ming Cheng:
GMA3D: Local-Global Attention Learning to Estimate Occluded Motions of Scene Flow. PRCV (2) 2023: 16-27 - 2022
- [j3]Zhiyang Gao, Zhiyang Lu, Jun Wang, Shihui Ying, Jun Shi:
A Convolutional Neural Network and Graph Convolutional Network Based Framework for Classification of Breast Histopathological Images. IEEE J. Biomed. Health Informatics 26(7): 3163-3173 (2022) - [j2]Zhiyang Lu, Jun Li, Chaoyue Wang, Rongjun Ge, Lili Chen, Hongjian He, Jun Shi:
S2Q-Net: Mining the High-Pass Filtered Phase Data in Susceptibility Weighted Imaging for Quantitative Susceptibility Mapping. IEEE J. Biomed. Health Informatics 26(8): 3938-3949 (2022) - [c4]Yanbin He, Zhiyang Lu, Jun Wang, Jun Shi:
A Channel Attention Based MLP-Mixer Network for Motor Imagery Decoding With EEG. ICASSP 2022: 1291-1295 - [i5]Zhiyang Lu, Ming Cheng:
GMA3D: Local-Global Attention Learning to Estimate Occluded Motions of Scene Flow. CoRR abs/2210.03296 (2022) - 2021
- [j1]Zheng Li, Jun Li, Chaoyue Wang, Zhiyang Lu, Jun Wang, Hongjian He, Jun Shi:
Meta-Learning Based Interactively Connected Clique U-Net for Quantitative Susceptibility Mapping. IEEE Trans. Computational Imaging 7: 1385-1399 (2021) - [c3]Zhiyang Lu, Jun Li, Zheng Li, Hongjian He, Jun Shi:
Reconstruction Of Quantitative Susceptibility Maps From Phase Of Susceptibility Weighted Imaging With Cross-Connected Ψ-Net. ISBI 2021: 1351-1355 - [c2]Zhiyang Lu, Zheng Li, Jun Wang, Jun Shi, Dinggang Shen:
Two-Stage Self-supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images. MICCAI (6) 2021: 3-12 - [i4]Ronglin Gong, Zhiyang Lu, Jun Shi:
Task-driven Self-supervised Bi-channel Networks Learning for Diagnosis of Breast Cancers with Mammography. CoRR abs/2101.06228 (2021) - [i3]Zhiyang Lu, Zheng Li, Jun Wang, Jun Shi, Dinggang Shen:
Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images. CoRR abs/2106.15395 (2021) - [i2]Yanbin He, Zhiyang Lu, Jun Wang, Jun Shi:
A channel attention based MLP-Mixer network for motor imagery decoding with EEG. CoRR abs/2110.10939 (2021) - 2020
- [i1]Zhiyang Lu, Jun Li, Zheng Li, Hongjian He, Jun Shi:
Reconstruction of Quantitative Susceptibility Maps from Phase of Susceptibility Weighted Imaging with Cross-Connected Ψ-Net. CoRR abs/2010.05395 (2020)
2010 – 2019
- 2019
- [c1]Zeyu Zhang, Zhiyang Lu, Youliang Tian:
Data Privacy Quantification and De-identification Model Based on Information Theory. NaNA 2019: 213-222
Coauthor Index
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