Xiao Han

Orcid: 0000-0002-5151-6547

Affiliations:
  • Tencent, AI Lab, Shenzhen, China


According to our database1, Xiao Han authored at least 44 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

Ensembling Diffusion Models via Adaptive Feature Aggregation.
CoRR, 2024

VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models.
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

RLTF: Reinforcement Learning from Unit Test Feedback.
Trans. Mach. Learn. Res., 2023

Merging nucleus datasets by correlation-based cross-training.
Medical Image Anal., 2023

A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images.
Medical Image Anal., 2023

RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval.
Medical Image Anal., 2023

Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach.
CoRR, 2023

Effortless Cross-Platform Video Codec: A Codebook-Based Method.
CoRR, 2023

Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models.
CoRR, 2023

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.
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

Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression.
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

Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers.
CoRR, 2021

CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning.
CoRR, 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
New Boundary Constraint Loss to Facilitate Glands Segmentation.
J. Medical Imaging Health Informatics, 2020

Microscope Based HER2 Scoring System.
CoRR, 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

Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images.
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

Efficient Mitosis Detection in Breast Cancer Histology Images by RCNN.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019


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