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ORCIDKai Yao
Publications
- 2025
[i17]Chaolong Yang, Kai Yao, Yuyao Yan, Chenru Jiang, Weiguang Zhao, Jie Sun, Guangliang Cheng, Yifei Zhang, Bin Dong, Kaizhu Huang:
Unlock Pose Diversity: Accurate and Efficient Implicit Keypoint-based Spatiotemporal Diffusion for Audio-driven Talking Portrait. CoRR abs/2503.12963 (2025)- 2024
- [j41]Kai Yao
, Kaizhu Huang, Jie Sun, Amir Hussain:
PointNu-Net: Keypoint-Assisted Convolutional Neural Network for Simultaneous Multi-Tissue Histology Nuclei Segmentation and Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 802-813 (2024) - [c22]Zixian Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang, Kaizhu Huang:
Unraveling Batch Normalization for Realistic Test-Time Adaptation. AAAI 2024: 15136-15144 - [i15]Kai Yao, Zhaorui Tan, Zixian Su, Xi Yang, Jie Sun, Kaizhu Huang:
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation. CoRR abs/2405.14278 (2024) - 2023
- [j35]Zixian Su, Kai Yao, Xi Yang, Qiufeng Wang, Yuyao Yan, Jie Sun, Kaizhu Huang:
Mind the Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation. IEEE J. Biomed. Health Informatics 27(7): 3396-3407 (2023) - [c19]Zixian Su, Kai Yao, Xi Yang, Kaizhu Huang, Qiufeng Wang, Jie Sun:
Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation. AAAI 2023: 2366-2374 - [c17]Kai Yao, Zixian Su, Xi Yang, Jie Sun, Kaizhu Huang:
Explore Epistemic Uncertainty in Domain Adaptive Semantic Segmentation. CIKM 2023: 2990-2998 - [i10]Zixian Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang, Kaizhu Huang:
Unraveling Batch Normalization for Realistic Test-Time Adaptation. CoRR abs/2312.09486 (2023) - 2022
- [j28]Kai Yao, Zixian Su, Kaizhu Huang, Xi Yang, Jie Sun, Amir Hussain, Frans Coenen:
A Novel 3D Unsupervised Domain Adaptation Framework for Cross-Modality Medical Image Segmentation. IEEE J. Biomed. Health Informatics 26(10): 4976-4986 (2022) - [c15]Kai Yao, Penglei Gao, Xi Yang, Jie Sun, Rui Zhang, Kaizhu Huang:
Outpainting by Queries. ECCV (23) 2022: 153-169 - [i8]Zixian Su, Kai Yao, Xi Yang, Qiufeng Wang, Yuyao Yan, Kaizhu Huang:
Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation. CoRR abs/2205.11888 (2022) - [i7]Kai Yao, Penglei Gao, Xi Yang, Kaizhu Huang, Jie Sun, Rui Zhang:
Outpainting by Queries. CoRR abs/2207.05312 (2022) - [i6]Zixian Su, Kai Yao, Xi Yang, Qiufeng Wang, Jie Sun, Kaizhu Huang:
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation. CoRR abs/2211.14805 (2022) - 2021
- [j25]Kai Yao, Kaizhu Huang, Jie Sun, Linzhi Jing, Dejian Huang, Curran Jude:
Scaffold-A549: A Benchmark 3D Fluorescence Image Dataset for Unsupervised Nuclei Segmentation. Cogn. Comput. 13(6): 1603-1608 (2021) - [i3]Kai Yao, Kaizhu Huang, Jie Sun, Curran Jude:
AD-GAN: End-to-end Unsupervised Nuclei Segmentation with Aligned Disentangling Training. CoRR abs/2107.11022 (2021) - [i2]Kai Yao, Kaizhu Huang, Jie Sun, Amir Hussain, Curran Jude:
PointNu-Net: Simultaneous Multi-tissue Histology Nuclei Segmentation and Classification in the Clinical Wild. CoRR abs/2111.01557 (2021) - 2020
- [j18]Qiu-Feng Wang, Kai Yao, Rui Zhang, Amir Hussain, Kaizhu Huang:
Improving deep neural network performance by integrating kernelized Min-Max objective. Neurocomputing 408: 82-90 (2020) - 2018
- [c7]Kai Yao, Kaizhu Huang, Rui Zhang, Amir Hussain:
Improving Deep Neural Network Performance with Kernelized Min-Max Objective. ICONIP (1) 2018: 182-191
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