Xiao Han
Orcid: 0000-0002-5151-6547Affiliations:
- Tencent, AI Lab, Shenzhen, China
According to our database1,
Xiao Han
authored at least 44 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models.
CoRR, 2024
V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation.
CoRR, 2024
VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
CLC-Net: Contextual and local collaborative network for lesion segmentation in diabetic retinopathy images.
Neurocomputing, March, 2023
Medical Image Anal., 2023
A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images.
Medical Image Anal., 2023
Medical Image Anal., 2023
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Federated contrastive learning models for prostate cancer diagnosis and Gleason grading.
CoRR, 2023
Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images.
Comput. Biol. Medicine, 2023
Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
DeepNoise: Signal and Noise Disentanglement Based on Classifying Fluorescent Microscopy Images via Deep Learning.
Genom. Proteom. Bioinform., October, 2022
Knowledge-Based Representation Learning for Nucleus Instance Classification From Histopathological Images.
IEEE Trans. Medical Imaging, 2022
Automatic Segmentation of Pneumothorax in Chest Radiographs Based on a Two-Stage Deep Learning Method.
IEEE Trans. Cogn. Dev. Syst., 2022
Transformer-based unsupervised contrastive learning for histopathological image classification.
Medical Image Anal., 2022
Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning.
CoRR, 2022
SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images.
Medical Image Anal., 2021
A hybrid network for automatic hepatocellular carcinoma segmentation in H&E-stained whole slide images.
Medical Image Anal., 2021
CoRR, 2021
CoRR, 2021
Proceedings of the NeurIPS 2022 Competition Track, 2021
TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
J. Medical Imaging Health Informatics, 2020
Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Enhanced Cycle-Consistent Generative Adversarial Network for Color Normalization of H&E Stained Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
SK-Unet: An Improved U-Net Model with Selective Kernel for the Segmentation of Multi-sequence Cardiac MR.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019
Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Polyp Tracking in Video Colonoscopy Using Optical Flow With an On-The-Fly Trained CNN.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019