Chao Tu

16 papers A* 1B 1C 2Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Self-Supervised Transfer Learning of Cross-Domains Histopathological Images for Cancer Diagnosis.
Int. J. Imaging Syst. Technol.
Jianbo Zhu, Zihan Wang, Jinjin Wu, Chenbei Li, Lan Li, Linwei Shang, Huijie Wang, Chao Tu, Jianhua Yin
2025 J jnl
DCMIL: A Progressive Representation Learning of Whole Slide Images for Cancer Prognosis Analysis.
CoRR
Chao Tu, Kun Huang, Jie Zhang, Qianjin Feng, Yu Zhang, Zhenyuan Ning
2025 J jnl
Deciphering RNA modification and post-transcriptional regulation with NetRNApan.
Briefings Bioinform.
Haodong Xu, Wankun Deng, Ruifeng Hu, Binfeng Liu, Wenchao Zhang, Lujuan Wang, Lin Qi, Xiaolei Ren, Chao Tu, Zhihong Li, Zhongming Zhao
2024 J jnl
Deep Multi-Dictionary Learning for Survival Prediction With Multi-Zoom Histopathological Whole Slide Images.
IEEE ACM Trans. Comput. Biol. Bioinform.
Chao Tu, Denghui Du, Tieyong Zeng, Yu Zhang
2024 J jnl
Going Global in the Digital Era: How Digital Finance Affects Chinese OFDI.
J. Organ. End User Comput.
Weihui Han, Tianshuo Zhang, Jamal Khan, Lujian Wang, Chao Tu
2024 B conf
Shaped Quota: More Efficient and More Versatile Congestion Control.
WCNC
Zhefan Fan, Wei Zhang, Yunfang Chen, Wanting Tian, Chao Tu, Yunqu Liu
2024 J jnl
Towards efficient multi-granular anomaly detection in distributed systems.
Array
Chao Tu, Ming Chen, Liwen Zhang, Long Zhao, Di Wu, Ziyang Yue
2023 C conf
How to Adapt RDMA Congestion Control Algorithm Based on Local Conditions.
IPCCC
Yizhou Gong, Wei Zhang, Yunfang Chen, Chao Tu, Wanting Tian, Yunqu Liu
2023 J jnl
MsGoF: Breast lesion classification on ultrasound images by multi-scale gradational-order fusion framework.
Comput. Methods Programs Biomed.
Shengzhou Zhong, Chao Tu, Xiuyu Dong, Qianjin Feng, Wufan Chen, Yu Zhang
2022 — conf
An Alternate Iterative Optimization Algorithm for Space-Ground Cooperative Networking of Transmission Lines.
EITCE
Kai Zhao, Kai Yang, Chao Tu, Weizheng Tu, Xilian Lei, Jie Liu
2022 A* conf
Dual-Curriculum Contrastive Multi-Instance Learning for Cancer Prognosis Analysis with Whole Slide Images.
NeurIPS
Chao Tu, Yu Zhang, Zhenyuan Ning
2022 C conf
Huffman Tree Based Multi-resolution Temporal Convolution Network for Electricity Time Series Prediction.
GPC
Chao Tu, Ming Chen, Liwen Zhang, Long Zhao, Yong Ma, Ziyang Yue, Di Wu
2022 J jnl
Relation-Aware Shared Representation Learning for Cancer Prognosis Analysis With Auxiliary Clinical Variables and Incomplete Multi-Modality Data.
IEEE Trans. Medical Imaging
Zhenyuan Ning, Denghui Du, Chao Tu, Qianjin Feng, Yu Zhang
2021 J jnl
Deep cross-view co-regularized representation learning for glioma subtype identification.
Medical Image Anal.
Zhenyuan Ning, Chao Tu, Xiaohui Di, Qianjin Feng, Yu Zhang
2020 — conf
Multi-scale Gradational-Order Fusion Framework for Breast Lesions Classification Using Ultrasound Images.
MICCAI (6)
Zhenyuan Ning, Chao Tu, Qing Xiao, Jiaxiu Luo, Yu Zhang
2019 J jnl
Multiscale Context-Cascaded Ensemble Framework (MsC
IEEE Access
Zhenyuan Ning, Xinsen Zhang, Chao Tu, Qianjin Feng, Yu Zhang