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Journal Articles
- 2025
[j5]Xin Jing, Yu Wang, Yixuan Huan, Kaiyu Guo, Jiaqi Dong, Zhanxiong Ma, Yang Xu
, Qiangqiang Zhang:
Energy-derivative attention enhanced deep learning for multi-phase segmentation of mesoscale heterogeneous material using X-ray computed tomography images. Eng. Appl. Artif. Intell. 160: 111768 (2025)- 2024
- [j4]Kaiyu Guo, Brian C. Lovell:
Domain-aware triplet loss in domain generalization. Comput. Vis. Image Underst. 243: 103979 (2024) - [j3]Can Peng, Piotr Koniusz, Kaiyu Guo, Brian C. Lovell, Peyman Moghadam:
Multivariate prototype representation for domain-generalized incremental learning. Comput. Vis. Image Underst. 249: 104215 (2024) - [j2]Bowen Jia, Huyu Wu, Kaiyu Guo:
Chaos theory meets deep learning: A new approach to time series forecasting. Expert Syst. Appl. 255: 124533 (2024) - [j1]Jie Zhu, Kaiyu Guo, Pengfei He, Haiping Huang, Reza Malekian, Yuzhong Sun:
An effective trajectory planning heuristics for UAV-assisted vessel monitoring system. Peer Peer Netw. Appl. 17(4): 2491-2506 (2024)
Conference and Workshop Papers
- 2025
- [c3]Kaiyu Guo, Zijian Wang, Brian C. Lovell, Mahsa Baktashmotlagh:
Spectral Distribution Alignment for Enhanced Generalization in Regression. ECML/PKDD (6) 2025: 272-288 - 2024
- [c2]Kaiyu Guo, Liang Zhao, Xiandi Wang, Kang Li:
SGX2CT: Self-part Guided 3D CT and Spine Model Reconstruction from Biplanar Lumbar X-rays. BIBM 2024: 3238-3243 - 2019
- [c1]Kaiyu Guo, Juyong Zhang:
Face Frontalization with Inpainting Method. ICCPR 2019: 272-276
Informal and Other Publications
- 2025
- [i6]Kaiyu Guo, Tan Pan, Chen Jiang, Zijian Wang, Brian C. Lovell, Limei Han, Yuan Cheng, Mahsa Baktashmotlagh:
SD-MAD: Sign-Driven Few-shot Multi-Anomaly Detection in Medical Images. CoRR abs/2505.16659 (2025) - [i5]Kaiyu Guo, Zijian Wang, Tan Pan, Brian C. Lovell, Mahsa Baktashmotlagh:
Improving Out-of-Distribution Detection via Dynamic Covariance Calibration. CoRR abs/2506.09399 (2025) - [i4]Tan Pan, Zhaorui Tan, Kaiyu Guo, Dongli Xu, Weidi Xu, Chen Jiang, Xin Guo, Yuan Qi, Yuan Cheng:
Structure-aware Semantic Discrepancy and Consistency for 3D Medical Image Self-supervised Learning. CoRR abs/2507.02581 (2025) - [i3]Tan Pan, Kaiyu Guo, Dongli Xu, Zhaorui Tan, Chen Jiang, Deshu Chen, Xin Guo, Brian C. Lovell, Limei Han, Yuan Cheng, Mahsa Baktashmotlagh:
Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization. CoRR abs/2509.15791 (2025) - 2023
- [i2]Kaiyu Guo, Brian C. Lovell:
Domain-aware Triplet loss in Domain Generalization. CoRR abs/2303.01233 (2023) - [i1]Can Peng, Piotr Koniusz, Kaiyu Guo, Brian C. Lovell, Peyman Moghadam:
Multivariate Prototype Representation for Domain-Generalized Incremental Learning. CoRR abs/2309.13563 (2023)
Coauthor Index
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