Xiaoyu Tao

According to our database, Xiaoyu Tao authored at least 26 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Learning Transferable Time Series Classifier with Cross-Domain Pre-training from Language Model.

Mingyue Cheng, Xiaoyu Tao, Qi Liu, Hao Zhang, Yiheng Chen, Chenyi Lei

CoRR, 2024

2023

A new strategy to identify ADAM12 and PDGFRB as a novel prognostic biomarker for matrine regulates gastric cancer via high throughput chip mining and computational verification.

Yifei Gao, Chao Wu, Jiaqi Huang, Zhihong Huang, Zhengsen Jin, Siyu Guo, Xiaoyu Tao, Shan Lu, Jingyuan Zhang, Fanqin Zhang, Yiyan Zhai, Rui Shi, Peizhi Ye, Jiarui Wu

Comput. Biol. Medicine, November, 2023

Model Behavior Preserving for Class-Incremental Learning.

Yu Liu, Xiaopeng Hong, Xiaoyu Tao, Songlin Dong, Jingang Shi, Yihong Gong

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Identification of a disulfidptosis-related genes signature for prognostic implication in lung adenocarcinoma.

Jiaqi Huang, Jingyuan Zhang, Fanqin Zhang, Shan Lu, Siyu Guo, Rui Shi, Yiyan Zhai, Yifei Gao, Xiaoyu Tao, Zhengseng Jin, Leiming You, Jiarui Wu

Comput. Biol. Medicine, October, 2023

Single-cell RNA sequencing integrated with bulk RNA sequencing analysis reveals diagnostic and prognostic signatures and immunoinfiltration in gastric cancer.

Yiyan Zhai, Jingyuan Zhang, Zhihong Huang, Rui Shi, Fengying Guo, Fanqin Zhang, Meilin Chen, Yifei Gao, Xiaoyu Tao, Zhengseng Jin, Siyu Guo, Yifan Lin, Peizhi Ye, Jiarui Wu

Comput. Biol. Medicine, September, 2023

Integrated analysis of single-cell RNA-seq and bulk RNA-seq unravels T cell-related prognostic risk model and tumor immune microenvironment modulation in triple-negative breast cancer.

Siyu Guo, Xinkui Liu, Jingyuan Zhang, Zhihong Huang, Peizhi Ye, Jian Shi, Antony Stalin, Chao Wu, Shan Lu, Fanqin Zhang, Yifei Gao, Zhengseng Jin, Xiaoyu Tao, Jiaqi Huang, Yiyan Zhai, Rui Shi, Fengying Guo, Wei Zhou, Jiarui Wu

Comput. Biol. Medicine, July, 2023

2021

Analogy-Detail Networks for Object Recognition.

Xiaoyu Tao, Xiaopeng Hong, Weiwei Shi, Xinyuan Chang, Yihong Gong

IEEE Trans. Neural Networks Learn. Syst., 2021

Differential privacy protection on weighted graph in wireless networks.

Bo Ning, Yunhao Sun, Xiaoyu Tao, Guanyu Li

Ad Hoc Networks, 2021

Structural Knowledge Organization and Transfer for Class-Incremental Learning.

Yu Liu, Xiaopeng Hong, Xiaoyu Tao, Songlin Dong, Jingang Shi, Yihong Gong

Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Class Incremental Learning for Video Action Classification.

Jiawei Ma, Xiaoyu Tao, Jianxing Ma, Xiaopeng Hong, Yihong Gong

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Few-Shot Class-Incremental Learning via Relation Knowledge Distillation.

Songlin Dong, Xiaopeng Hong, Xiaoyu Tao, Xinyuan Chang, Xing Wei, Yihong Gong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Object detection with class aware region proposal network and focused attention objective.

Xiaoyu Tao, Yihong Gong, Weiwei Shi, De Cheng

Pattern Recognit. Lett., 2020

Class-Incremental Learning with Topological Schemas of Memory Spaces.

Xinyuan Chang, Xiaoyu Tao, Xiaopeng Hong, Xing Wei, Wei Ke, Yihong Gong

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Topology-Preserving Class-Incremental Learning.

Xiaoyu Tao, Xinyuan Chang, Xiaopeng Hong, Xing Wei, Yihong Gong

Proceedings of the Computer Vision - ECCV 2020, 2020

Few-Shot Class-Incremental Learning.

Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Songlin Dong, Xing Wei, Yihong Gong

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Bi-Objective Continual Learning: Learning 'New' While Consolidating 'Known'.

Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Yihong Gong

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Fine-Grained Image Classification Using Modified DCNNs Trained by Cascaded Softmax and Generalized Large-Margin Losses.

Weiwei Shi, Yihong Gong, Xiaoyu Tao, De Cheng, Nanning Zheng

IEEE Trans. Neural Networks Learn. Syst., 2019

Consistency-Preserving deep hashing for fast person re-identification.

Diangang Li, Yihong Gong, De Cheng, Weiwei Shi, Xiaoyu Tao, Xinyuan Chang

Pattern Recognit., 2019

Surrogate Thermal Model for Power Electronic Modules using Artificial Neural Network.

Zhigen Xu, Yuan Gao, Xin Wang, Xiaoyu Tao, Qingui Xu

Proceedings of the IECON 2019, 2019

2018

Training DCNN by Combining Max-Margin, Max-Correlation Objectives, and Correntropy Loss for Multilabel Image Classification.

Weiwei Shi, Yihong Gong, Xiaoyu Tao, Nanning Zheng

IEEE Trans. Neural Networks Learn. Syst., 2018

Improving CNN Performance Accuracies With Min-Max Objective.

Weiwei Shi, Yihong Gong, Xiaoyu Tao, Jinjun Wang, Nanning Zheng

IEEE Trans. Neural Networks Learn. Syst., 2018

Entropy and orthogonality based deep discriminative feature learning for object recognition.

Weiwei Shi, Yihong Gong, De Cheng, Xiaoyu Tao, Nanning Zheng

Pattern Recognit., 2018

Transductive Semi-Supervised Deep Learning Using Min-Max Features.

Weiwei Shi, Yihong Gong, Chris Ding, Zhiheng Ma, Xiaoyu Tao, Nanning Zheng

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Constructing Deep Sparse Coding Network for image classification.

Shizhou Zhang, Jinjun Wang, Xiaoyu Tao, Yihong Gong, Nanning Zheng

Pattern Recognit., 2017

2016

A Deep CNN with Focused Attention Objective for Integrated Object Recognition and Localization.

Xiaoyu Tao, Chenyang Xu, Yihong Gong, Jinjun Wang

Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

2013

Outage Performance Study of Cognitive Multi-antenna Relay Network with Physical-Layer Network Coding over Nakagami-m Fading Channels.

Ying Zhu, Jia Liu, Xiaoyu Tao, Zhiyong Feng

Proceedings of the 32th IEEE Military Communications Conference, 2013