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ORCIDXiao Han 0011
Person information
- affiliation: Tencent, AI Lab, Shenzhen, China
Other persons with the same name
- Xiao Han — disambiguation page
- Xiao Han 0001
![[0000-0003-1331-0860]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-1331-0860")
— Shanghai University of Finance and Economics, Shanghai, China (and 1 more) - Xiao Han 0002 — Beijing University of Posts and Telecommunications, Key Laboratory of Universal Wireless Communications, Beijing, China
- Xiao Han 0003 — Beijing Jiaotong University, School of Electronic and Information Engineering, China
- Xiao Han 0004 — City University of Hong Kong (and 1 more)
- Xiao Han 0005 — Chinese Academy of Agricultural Sciences, Biotechnology Research Institute, Beijing, China
- Xiao Han 0006 — North China University of Technology, College of Science, Beijing, China
- Xiao Han 0007 — CMS, Inc., Saint Louis, MO, USA (and 1 more)
- Xiao Han 0008 — Utah State University, Logan, UT, USA
- Tony Xiao Han (aka: Xiao Han 0009) — Wireless Technology Lab, 2012 Laboratories, Huawei, China (and 2 more)
- Xiao Han 0010 — Beihang University, School of Reliability and Systems Engineering, Beijing, China
- Xiao Han 0012 — Xidian University, School of Artificial Intelligence, Xi'an, China
- Xiao Han 0013 — Harbin Engineering University, Acoustic Science and Technology Laboratory, China
- Xiao Han 0014 — University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu, China
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2020 – today
- 2024
[c19]Fei Shen, Hu Ye, Jun Zhang, Cong Wang, Xiao Han, Yang Wei:
Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models. ICLR 2024- [c18]Jinxi Xiang, Ricong Huang, Jun Zhang, Guanbin Li, Xiao Han, Yang Wei:
VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation. ICLR 2024 - [i16]Cong Wang, Kuan Tian, Yonghang Guan, Jun Zhang, Zhiwei Jiang, Fei Shen, Xiao Han, Qing Gu, Wei Yang:
Ensembling Diffusion Models via Adaptive Feature Aggregation. CoRR abs/2405.17082 (2024) - [i15]Cong Wang, Kuan Tian, Jun Zhang, Yonghang Guan, Feng Luo, Fei Shen, Zhiwei Jiang, Qing Gu, Xiao Han, Wei Yang:
V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation. CoRR abs/2406.02511 (2024) - [i14]Fei Shen, Hu Ye, Sibo Liu, Jun Zhang, Cong Wang, Xiao Han, Wei Yang:
Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models. CoRR abs/2407.02482 (2024) - 2023
- [j13]Jinxi Xiang, Xiyue Wang, Xinran Wang, Jun Zhang, Sen Yang, Wei Yang, Xiao Han, Yueping Liu:
Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images. Comput. Biol. Medicine 152: 106340 (2023) - [j12]Xiyue Wang, Yuqi Fang, Sen Yang, Delong Zhu, Minghui Wang, Jing Zhang, Jun Zhang, Jun Cheng, Kai-Yu Tong, Xiao Han:
CLC-Net: Contextual and local collaborative network for lesion segmentation in diabetic retinopathy images. Neurocomputing 527: 100-109 (2023) - [j11]Xiyue Wang, Yuexi Du, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han:
RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval. Medical Image Anal. 83: 102645 (2023) - [j10]Xiyue Wang, Jun Zhang, Sen Yang, Jingxi Xiang, Feng Luo, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han:
A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images. Medical Image Anal. 84: 102703 (2023) - [j9]Wenhua Zhang, Jun Zhang, Xiyue Wang, Sen Yang, Junzhou Huang, Wei Yang, Wenping Wang, Xiao Han:
Merging nucleus datasets by correlation-based cross-training. Medical Image Anal. 84: 102705 (2023) - [j8]Jiate Liu, Yiqin Zhu, Kaiwen Xiao, Qiang Fu, Xiao Han, Wei Yang, Deheng Ye:
RLTF: Reinforcement Learning from Unit Test Feedback. Trans. Mach. Learn. Res. 2023 (2023) - [c17]Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang:
RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning. AAAI 2023: 3570-3578 - [c16]Yue Lv, Jinxi Xiang, Jun Zhang, Wenming Yang, Xiao Han, Wei Yang:
Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression. ACM Multimedia 2023: 632-642 - [c15]Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang:
Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information. ACM Multimedia 2023: 7961-7970 - [i13]Fei Kong, Jinxi Xiang, Xiyue Wang, Xinran Wang, Meng Yue, Jun Zhang, Sen Yang, Junhan Zhao, Xiao Han, Yuhan Dong, Yueping Liu:
Federated contrastive learning models for prostate cancer diagnosis and Gleason grading. CoRR abs/2302.06089 (2023) - [i12]Jiate Liu, Yiqin Zhu, Kaiwen Xiao, Qiang Fu, Xiao Han, Wei Yang, Deheng Ye:
RLTF: Reinforcement Learning from Unit Test Feedback. CoRR abs/2307.04349 (2023) - [i11]Hu Ye, Jun Zhang, Sibo Liu, Xiao Han, Wei Yang:
IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models. CoRR abs/2308.06721 (2023) - [i10]Yue Lv, Jinxi Xiang, Jun Zhang, Wenming Yang, Xiao Han, Wei Yang:
Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression. CoRR abs/2308.07733 (2023) - [i9]Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang:
Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information. CoRR abs/2309.11276 (2023) - [i8]Fei Shen, Hu Ye, Jun Zhang, Cong Wang, Xiao Han, Wei Yang:
Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models. CoRR abs/2310.06313 (2023) - [i7]Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang:
Effortless Cross-Platform Video Codec: A Codebook-Based Method. CoRR abs/2310.10292 (2023) - [i6]Feng Luo, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang:
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach. CoRR abs/2310.12004 (2023) - 2022
- [j7]Sen Yang, Tao Shen, Yuqi Fang, Xiyue Wang, Jun Zhang, Wei Yang, Junzhou Huang, Xiao Han:
DeepNoise: Signal and Noise Disentanglement Based on Classifying Fluorescent Microscopy Images via Deep Learning. Genom. Proteom. Bioinform. 20(5): 989-1001 (2022) - [j6]Xiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han:
Transformer-based unsupervised contrastive learning for histopathological image classification. Medical Image Anal. 81: 102559 (2022) - [j5]Xiyue Wang, Sen Yang, Jun Lan, Yuqi Fang, Jianhui He, Minghui Wang, Jing Zhang, Xiao Han:
Automatic Segmentation of Pneumothorax in Chest Radiographs Based on a Two-Stage Deep Learning Method. IEEE Trans. Cogn. Dev. Syst. 14(1): 205-218 (2022) - [j4]Wenhua Zhang, Jun Zhang, Sen Yang, Xiyue Wang, Wei Yang, Junzhou Huang, Wenping Wang, Xiao Han:
Knowledge-Based Representation Learning for Nucleus Instance Classification From Histopathological Images. IEEE Trans. Medical Imaging 41(12): 3939-3951 (2022) - [c14]Yonghang Guan, Jun Zhang, Kuan Tian, Sen Yang, Pei Dong, Jinxi Xiang, Wei Yang, Junzhou Huang, Yuyao Zhang, Xiao Han:
Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification. CVPR 2022: 18791-18801 - [c13]Xiyue Wang, Jinxi Xiang, Jun Zhang, Sen Yang, Zhongyi Yang, Ming-Hui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han:
SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification. NeurIPS 2022 - [i5]Siteng Chen, Jinxi Xiang, Xiyue Wang, Jun Zhang, Sen Yang, Junzhou Huang, Wei Yang, Junhua Zheng, Xiao Han:
Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning. CoRR abs/2204.03257 (2022) - [i4]Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang:
RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning. CoRR abs/2212.01737 (2022) - 2021
- [j3]Xiyue Wang, Yuqi Fang, Sen Yang, Delong Zhu, Minghui Wang, Jing Zhang, Kai-Yu Tong, Xiao Han:
A hybrid network for automatic hepatocellular carcinoma segmentation in H&E-stained whole slide images. Medical Image Anal. 68: 101914 (2021) - [j2]Jun Zhang, Zhiyuan Hua, Kezhou Yan, Kuan Tian, Jianhua Yao, Eryun Liu, Mingxia Liu, Xiao Han:
Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images. Medical Image Anal. 73: 102183 (2021) - [c12]Zhen Chen, Jun Zhang, Shuanlong Che, Junzhou Huang, Xiao Han, Yixuan Yuan:
Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring. AAAI 2021: 47-54 - [c11]Siqi Yang, Jun Zhang, Junzhou Huang, Brian C. Lovell, Xiao Han:
Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels. AAAI 2021: 697-705 - [c10]Xiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Junzhou Huang, Wei Yang, Xiao Han:
TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification. MICCAI (8) 2021: 186-195 - [c9]Konstantin F. Willeke, Paul G. Fahey, Mohammad Bashiri, Laura Hansel, Christoph Blessing, Konstantin-Klemens Lurz, Max F. Burg, Santiago A. Cadena, Zhiwei Ding, Kayla Ponder, Taliah Muhammad, Saumil S. Patel, Kaiwen Deng, Yuanfang Guan, Yiqin Zhu, Kaiwen Xiao, Xiao Han, Simone Azeglio, Ulisse Ferrari, Peter Neri, Olivier Marre, Adrian Hoffmann, Kirill Fedyanin, Kirill Vishniakov, Maxim Panov, Subash Prakash, Kishan Naik, Kantharaju Narayanappa, Alexander S. Ecker, Andreas S. Tolias, Fabian H. Sinz:
Retrospective on the SENSORIUM 2022 competition. NeurIPS (Competition and Demos) 2021: 314-333 - [i3]Xin Zhang, Zixuan Liu, Kaiwen Xiao, Tian Shen, Junzhou Huang, Wei Yang, Dimitris Samaras, Xiao Han:
CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning. CoRR abs/2111.11652 (2021) - [i2]Renzhen Wang, De Cai, Kaiwen Xiao, Xixi Jia, Xiao Han, Deyu Meng:
Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers. CoRR abs/2112.02353 (2021) - 2020
- [j1]Weijia Lu, Jianhua Yao, Xiao Han, Haocheng Shen:
New Boundary Constraint Loss to Facilitate Glands Segmentation. J. Medical Imaging Health Informatics 10(7): 1714-1723 (2020) - [c8]Kuan Tian, Jun Zhang, Haocheng Shen, Kezhou Yan, Pei Dong, Jianhua Yao, Shannon Che, Pifu Luo, Xiao Han:
Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy. MICCAI (5) 2020: 299-308 - [c7]Haocheng Shen, Kuan Tian, Pei Dong, Jun Zhang, Kezhou Yan, Shannon Che, Jianhua Yao, Pifu Luo, Xiao Han:
Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images. MICCAI (5) 2020: 509-518 - [i1]Jun Zhang, Kuan Tian, Pei Dong, Haocheng Shen, Kezhou Yan, Jianhua Yao, Junzhou Huang, Xiao Han:
Microscope Based HER2 Scoring System. CoRR abs/2009.06816 (2020)
2010 – 2019
- 2019
- [c6]He Zheng, Hanbo Chen, Junzhou Huang, Xuzhi Li, Xiao Han, Jianhua Yao:
Polyp Tracking in Video Colonoscopy Using Optical Flow With an On-The-Fly Trained CNN. ISBI 2019: 79-82 - [c5]De Cai, Xianhe Sun, Niyun Zhou, Xiao Han, Jianhua Yao:
Efficient Mitosis Detection in Breast Cancer Histology Images by RCNN. ISBI 2019: 919-922 - [c4]Xiyue Wang, Sen Yang, Mingxuan Tang, Yunpeng Wei, Xiao Han, Ling He, Jing Zhang:
SK-Unet: An Improved U-Net Model with Selective Kernel for the Segmentation of Multi-sequence Cardiac MR. STACOM@MICCAI 2019: 246-253 - [c3]Hanbo Chen, Xiao Han, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Junzhou Huang, Jianhua Yao:
Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier. MICCAI (1) 2019: 351-359 - [c2]Yifan Zhang, Hanbo Chen, Ying Wei, Peilin Zhao, Jiezhang Cao, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Jinlong Hou, Xiao Han, Jianhua Yao, Qingyao Wu, Mingkui Tan, Junzhou Huang:
From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. MICCAI (1) 2019: 360-368 - [c1]Niyun Zhou, De Cai, Xiao Han, Jianhua Yao:
Enhanced Cycle-Consistent Generative Adversarial Network for Color Normalization of H&E Stained Images. MICCAI (1) 2019: 694-702
Coauthor Index
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last updated on 2024-11-08 20:28 CET by the dblp team
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