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2020 – today
- 2024
[j16]Zhengsen Jin, Zhihong Huang, Chao Wu, Fanqin Zhang, Yifei Gao, Siyu Guo, Xiaoyu Tao, Shan Lu, Jingyuan Zhang, Jiaqi Huang, Yiyan Zhai, Rui Shi, Peizhi Ye, Jiarui Wu
:
Molecular insights into gastric cancer: The impact of TGFBR2 and hsa-mir-107 revealed by microarray sequencing and bioinformatics. Comput. Biol. Medicine 172: 108221 (2024)- [j15]Songlin Dong, Yihong Gong, Jingang Shi, Miao Shang, Xiaoyu Tao, Xing Wei, Xiaopeng Hong, Tiangang Zhou:
Brain Cognition-Inspired Dual-Pathway CNN Architecture for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9900-9914 (2024) - [c13]Junya Wang, Guanxiong Wu, Tiantian Tian, Qihua Lin, Chu Xiao, Xiaoyu Tao, Jianqiang Li, Yuantao Li, Jie Chen:
Explainable Deep Learning with Human Feedback for Perioperative Complications Prediction. ICIC (2) 2024: 204-217 - [i4]Mingyue Cheng, Xiaoyu Tao, Qi Liu, Hao Zhang, Yiheng Chen, Chenyi Lei:
Learning Transferable Time Series Classifier with Cross-Domain Pre-training from Language Model. CoRR abs/2403.12372 (2024) - [i3]Jintao Zhang, Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Daoyu Wang:
FDF: Flexible Decoupled Framework for Time Series Forecasting with Conditional Denoising and Polynomial Modeling. CoRR abs/2410.13253 (2024) - [i2]Xiaoyu Tao, Tingyue Pan, Mingyue Cheng, Yucong Luo:
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification. CoRR abs/2410.18686 (2024) - 2023
- [j14]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:
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. Comput. Biol. Medicine 161: 107066 (2023) - [j13]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:
Single-cell RNA sequencing integrated with bulk RNA sequencing analysis reveals diagnostic and prognostic signatures and immunoinfiltration in gastric cancer. Comput. Biol. Medicine 163: 107239 (2023) - [j12]Jiaqi Huang, Jingyuan Zhang, Fanqin Zhang, Shan Lu, Siyu Guo, Rui Shi, Yiyan Zhai, Yifei Gao, Xiaoyu Tao, Zhengseng Jin, Leiming You, Jiarui Wu:
Identification of a disulfidptosis-related genes signature for prognostic implication in lung adenocarcinoma. Comput. Biol. Medicine 165: 107402 (2023) - [j11]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:
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. Comput. Biol. Medicine 166: 107562 (2023) - [j10]Yu Liu, Xiaopeng Hong, Xiaoyu Tao, Songlin Dong, Jingang Shi, Yihong Gong:
Model Behavior Preserving for Class-Incremental Learning. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7529-7540 (2023) - 2021
- [j9]Bo Ning, Yunhao Sun, Xiaoyu Tao, Guanyu Li:
Differential privacy protection on weighted graph in wireless networks. Ad Hoc Networks 110: 102303 (2021) - [j8]Xiaoyu Tao, Xiaopeng Hong, Weiwei Shi, Xinyuan Chang, Yihong Gong:
Analogy-Detail Networks for Object Recognition. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4404-4418 (2021) - [c12]Songlin Dong, Xiaopeng Hong, Xiaoyu Tao, Xinyuan Chang, Xing Wei, Yihong Gong:
Few-Shot Class-Incremental Learning via Relation Knowledge Distillation. AAAI 2021: 1255-1263 - [c11]Tairan Fan, Qiaoyu Sun, Jing Zhang, Xiaoyu Tao, Yunying Xu, Tianfu He:
Text Detection in Sign Images Using Maximally Stable External Regions and Stroke Width Transform. CISP-BMEI 2021: 1-5 - [c10]Jiawei Ma, Xiaoyu Tao, Jianxing Ma, Xiaopeng Hong, Yihong Gong:
Class Incremental Learning for Video Action Classification. ICIP 2021: 504-508 - [c9]Yu Liu, Xiaopeng Hong, Xiaoyu Tao, Songlin Dong, Jingang Shi, Yihong Gong:
Structural Knowledge Organization and Transfer for Class-Incremental Learning. MMAsia 2021: 18:1-18:7 - 2020
- [j7]Xiaoyu Tao, Yihong Gong, Weiwei Shi, De Cheng:
Object detection with class aware region proposal network and focused attention objective. Pattern Recognit. Lett. 130: 353-361 (2020) - [c8]Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Yihong Gong:
Bi-Objective Continual Learning: Learning 'New' While Consolidating 'Known'. AAAI 2020: 5989-5996 - [c7]Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Songlin Dong, Xing Wei, Yihong Gong:
Few-Shot Class-Incremental Learning. CVPR 2020: 12180-12189 - [c6]Xiaoyu Tao, Xinyuan Chang, Xiaopeng Hong, Xing Wei, Yihong Gong:
Topology-Preserving Class-Incremental Learning. ECCV (19) 2020: 254-270 - [c5]Xinyuan Chang, Xiaoyu Tao, Xiaopeng Hong, Xing Wei, Wei Ke, Yihong Gong:
Class-Incremental Learning with Topological Schemas of Memory Spaces. ICPR 2020: 9719-9726 - [i1]Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Songlin Dong, Xing Wei, Yihong Gong:
Few-Shot Class-Incremental Learning. CoRR abs/2004.10956 (2020)
2010 – 2019
- 2019
- [j6]Diangang Li, Yihong Gong, De Cheng, Weiwei Shi, Xiaoyu Tao, Xinyuan Chang:
Consistency-Preserving deep hashing for fast person re-identification. Pattern Recognit. 94: 207-217 (2019) - [j5]Weiwei Shi, Yihong Gong, Xiaoyu Tao, De Cheng, Nanning Zheng:
Fine-Grained Image Classification Using Modified DCNNs Trained by Cascaded Softmax and Generalized Large-Margin Losses. IEEE Trans. Neural Networks Learn. Syst. 30(3): 683-694 (2019) - [c4]Zhigen Xu, Yuan Gao, Xin Wang, Xiaoyu Tao, Qingui Xu:
Surrogate Thermal Model for Power Electronic Modules using Artificial Neural Network. IECON 2019: 3160-3165 - 2018
- [j4]Weiwei Shi, Yihong Gong, De Cheng, Xiaoyu Tao, Nanning Zheng:
Entropy and orthogonality based deep discriminative feature learning for object recognition. Pattern Recognit. 81: 71-80 (2018) - [j3]Weiwei Shi, Yihong Gong, Xiaoyu Tao, Jinjun Wang, Nanning Zheng:
Improving CNN Performance Accuracies With Min-Max Objective. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2872-2885 (2018) - [j2]Weiwei Shi, Yihong Gong, Xiaoyu Tao, Nanning Zheng:
Training DCNN by Combining Max-Margin, Max-Correlation Objectives, and Correntropy Loss for Multilabel Image Classification. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2896-2908 (2018) - [c3]Weiwei Shi, Yihong Gong, Chris Ding, Zhiheng Ma, Xiaoyu Tao, Nanning Zheng:
Transductive Semi-Supervised Deep Learning Using Min-Max Features. ECCV (5) 2018: 311-327 - 2017
- [j1]Shizhou Zhang, Jinjun Wang, Xiaoyu Tao, Yihong Gong, Nanning Zheng:
Constructing Deep Sparse Coding Network for image classification. Pattern Recognit. 64: 130-140 (2017) - 2016
- [c2]Xiaoyu Tao, Chenyang Xu, Yihong Gong, Jinjun Wang:
A Deep CNN with Focused Attention Objective for Integrated Object Recognition and Localization. PCM (2) 2016: 43-53 - 2013
- [c1]Ying Zhu, Jia Liu, Xiaoyu Tao, Zhiyong Feng:
Outage Performance Study of Cognitive Multi-antenna Relay Network with Physical-Layer Network Coding over Nakagami-m Fading Channels. MILCOM 2013: 1547-1552
Coauthor Index
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