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ORCIDYishu Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j32]Yishu Liu, Jia Hou:
Digital Industry transformation strategy analysis and decision-based on intelligent decision technology. Intell. Decis. Technol. 18(3): 2389-2406 (2024)- [j31]Bingzhi Chen
, Yishu Liu, Zheng Zhang, Guangming Lu, Adams Wai-Kin Kong:
TransAttUnet: Multi-Level Attention-Guided U-Net With Transformer for Medical Image Segmentation. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 55-68 (2024) - [j30]Yishu Liu, Bingzhi Chen, Shuihua Wang, Guangming Lu, Zheng Zhang:
Deep Fuzzy Multiteacher Distillation Network for Medical Visual Question Answering. IEEE Trans. Fuzzy Syst. 32(10): 5413-5427 (2024) - [j29]Bingzhi Chen, Xiaolin Huang, Yishu Liu, Zheng Zhang, Guangming Lu, Zheng Zhou, Jiahui Pan:
Attention-Guided and Noise-Resistant Learning for Robust Medical Image Segmentation. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j28]Qingpeng Wu, Zheng Zhang, Yishu Liu, Jingyi Zhang, Liqiang Nie:
Contrastive Multi-Bit Collaborative Learning for Deep Cross-Modal Hashing. IEEE Trans. Knowl. Data Eng. 36(11): 5835-5848 (2024) - [c16]Bingzhi Chen, Sisi Fu, Yishu Liu, Jiahui Pan, Guangming Lu, Zheng Zhang:
CariesXrays: Enhancing Caries Detection in Hospital-Scale Panoramic Dental X-rays via Feature Pyramid Contrastive Learning. AAAI 2024: 21940-21948 - [c15]Bingzhi Chen, Jiawei Zhu, Yishu Liu, Biqing Zeng, Jiahui Pan, Meirong Ding:
Medical Vision-Language Representation Learning with Cross-Modal Multi-Teacher Contrastive Distillation. ICASSP 2024: 1891-1895 - [c14]Bingzhi Chen, Haoming Zhou, Yishu Liu, Biqing Zeng, Guangming Lu, Zheng Zhang:
Decoupled Self-Adaptive Distribution Regularization for Few-Shot Image Classification. ICASSP 2024: 5420-5424 - [c13]Bingzhi Chen, Shuobin Lin, Yishu Liu, Zheng Zhang, Guangming Lu, Lewei He:
Rethinking Adversarial Robustness Distillation VIA Strength-Dependent Adaptive Regularization. ICME 2024: 1-6 - [c12]Bingzhi Chen, Haoming Zhou, Yishu Liu, Biqing Zeng, Jiahui Pan, Guangming Lu:
Enhancing Few-Shot Classification without Forgetting Through Multi-level Contrastive Constraints. ICME 2024: 1-6 - [c11]Jiawei Zhu, Meirong Ding, Yishu Liu, Biqing Zeng, Guangming Lu, Bingzhi Chen:
Robust Visual Question Answering With Contrastive-Adversarial Consistency Constraints. ICME 2024: 1-6 - [c10]Bingzhi Chen, Zhongqi Wu, Yishu Liu, Biqing Zeng, Guangming Lu, Zheng Zhang:
Enhancing Cross-Modal Retrieval via Visual-Textual Prompt Hashing. IJCAI 2024: 623-631 - [c9]Yishu Liu, Zhongqi Wu, Bingzhi Chen, Zheng Zhang, Guangming Lu:
Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning. MICCAI (3) 2024: 250-261 - [c8]Jiawei Zhu, Yishu Liu, Huanjia Zhu, Hui Lin, Yuncheng Jiang, Zheng Zhang, Bingzhi Chen:
Combating Visual Question Answering Hallucinations via Robust Multi-Space Co-Debias Learning. ACM Multimedia 2024: 955-964 - [c7]Bingzhi Chen, Ruihan Liu, Yishu Liu, Xiaozhao Fang, Jiahui Pan, Guangming Lu, Zheng Zhang:
Stay Focused is All You Need for Adversarial Robustness. ACM Multimedia 2024: 6482-6491 - [c6]Rui Li, Yishu Liu, Huafeng Li, Jinxing Li, Guangming Lu:
Prototype-Guided Dual-Transformer Reasoning for Video Individual Counting. ACM Multimedia 2024: 10258-10267 - [i2]Bingzhi Chen, Haoming Zhou, Yishu Liu, Biqing Zeng, Jiahui Pan, Guangming Lu:
Enhancing Few-Shot Classification without Forgetting through Multi-Level Contrastive Constraints. CoRR abs/2409.11286 (2024) - 2023
- [j27]Yishu Liu, Bingzhi Chen, Zheng Zhang, Hongbing Yu, Shouhang Ru, Xiaosheng Chen, Guangming Lu:
Self-paced Multi-view Learning for CT-based severity assessment of COVID-19. Biomed. Signal Process. Control. 83: 104672 (2023) - [j26]Yongbo Huang, Yuanpei Jin, Liqiang Zhang, Yishu Liu:
Remote Sensing Object Counting Through Regression Ensembles and Learning to Rank. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [c5]Bingzhi Chen, Zhanhao Ye, Yishu Liu, Zheng Zhang, Jiahui Pan, Biqing Zeng, Guangming Lu:
Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning. MICCAI (1) 2023: 562-572 - [c4]Yishu Liu, Qingpeng Wu, Zheng Zhang, Jingyi Zhang, Guangming Lu:
Multi-Granularity Interactive Transformer Hashing for Cross-modal Retrieval. ACM Multimedia 2023: 893-902 - 2022
- [j25]Yishu Liu, Jiangbo Zheng:
Intelligent management of supply chain logistics based on 5g LoT. Clust. Comput. 25(3): 2271-2280 (2022) - [j24]Yishu Liu, Wenjie Zhang, Qi Zhang, Monire Norouzi:
An optimized human resource management model for cloud-edge computing in the internet of things. Clust. Comput. 25(4): 2527-2539 (2022) - [j23]Qi Zhang, Yishu Liu:
Smart user experience medical app interface design based on mobile devices. Expert Syst. J. Knowl. Eng. 39(5) (2022) - [j22]Yishu Liu, Chen Chen:
Improved RFM Model for Customer Segmentation Using Hybrid Meta-heuristic Algorithm in Medical IoT Applications. Int. J. Artif. Intell. Tools 31(1): 2250009:1-2250009:16 (2022) - [j21]Yishu Liu, Jingya Cao, Qi Zhang:
The product marketing model of the economic zone by the sensor big data mining algorithm. Sustain. Comput. Informatics Syst. 36: 100820 (2022) - [j20]Yishu Liu, Liqiang Zhang, Zhengzhuo Han, Conghui Chen:
Integrating Knowledge Distillation With Learning to Rank for Few-Shot Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j19]Yishu Liu, Qi Zhang, Zhihan Lv:
Real-Time Intelligent Automatic Transportation Safety Based on Big Data Management. IEEE Trans. Intell. Transp. Syst. 23(7): 9702-9711 (2022) - 2021
- [j18]Yishu Liu, Guifang Fu:
Emotion recognition by deeply learned multi-channel textual and EEG features. Future Gener. Comput. Syst. 119: 1-6 (2021) - [j17]Yishu Liu, Qi Zhang, Weixiong Chen:
Massive-scale complicated human action recognition: Theory and applications. Future Gener. Comput. Syst. 125: 806-811 (2021) - [j16]Zhong Chen, Yishu Liu:
Economic Development Ideas of Regional Convergence Industry Based on Artificial Intelligence Multimedia Background. Mob. Inf. Syst. 2021: 4787858:1-4787858:11 (2021) - [j15]Yishu Liu, Weixiong Chen:
Optimization of Brand Marketing Strategy of Intelligent Technology under the Background of Artificial Intelligence. Mob. Inf. Syst. 2021: 9507917:1-9507917:8 (2021) - [j14]Bingzhi Chen, Yishu Liu, Zheng Zhang, Yingjian Li, Zhao Zhang, Guangming Lu, Hongbing Yu:
Deep Active Context Estimation for Automated COVID-19 Diagnosis. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 101:1-101:22 (2021) - [i1]Bingzhi Chen, Yishu Liu, Zheng Zhang, Guangming Lu, David Zhang:
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation. CoRR abs/2107.05274 (2021) - 2020
- [j13]Hongbing Yu, Zebin Lin, Yishu Liu, Jing Su, Bingzhi Chen, Guangming Lu:
A New Technique for Diagnosis of Dental Caries on the Children's First Permanent Molar. IEEE Access 8: 185776-185785 (2020) - [j12]Yishu Liu, Yingbin Liu, Conghui Chen, Liwang Ding:
Remote-sensing image retrieval with tree-triplet-classification networks. Neurocomputing 405: 48-61 (2020) - [j11]Yishu Liu, Conghui Chen, Zhengzhuo Han, Liwang Ding, Yingbin Liu:
High-Resolution Remote Sensing Image Retrieval Based on Classification-Similarity Networks and Double Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1119-1133 (2020) - [j10]Yishu Liu, Zhengzhuo Han, Conghui Chen, Liwang Ding, Yingbin Liu:
Eagle-Eyed Multitask CNNs for Aerial Image Retrieval and Scene Classification. IEEE Trans. Geosci. Remote. Sens. 58(9): 6699-6721 (2020) - [j9]Yishu Liu, Liwang Ding, Conghui Chen, Yingbin Liu:
Similarity-Based Unsupervised Deep Transfer Learning for Remote Sensing Image Retrieval. IEEE Trans. Geosci. Remote. Sens. 58(11): 7872-7889 (2020) - [c3]Yishu Liu, Conghui Chen, Zhengzhuo Han, Yingbin Liu, Liwang Ding:
Incorporating Human Views into Unsupervised Deep Transfer Learning for Remote Sensing Image Retrieval. ICPRAI 2020: 394-403
2010 – 2019
- 2019
- [j8]Yishu Liu, Yingbin Liu, Liwang Ding:
Scene Classification by Coupling Convolutional Neural Networks With Wasserstein Distance. IEEE Geosci. Remote. Sens. Lett. 16(5): 722-726 (2019) - [j7]Yishu Liu, Ching Y. Suen, Yingbin Liu, Liwang Ding:
Scene Classification Using Hierarchical Wasserstein CNN. IEEE Trans. Geosci. Remote. Sens. 57(5): 2494-2509 (2019) - 2018
- [j6]Yishu Liu, Yingbin Liu, Liwang Ding:
Scene Classification Based on Two-Stage Deep Feature Fusion. IEEE Geosci. Remote. Sens. Lett. 15(2): 183-186 (2018) - [j5]Yishu Liu, Chao Huang:
Scene Classification via Triplet Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(1): 220-237 (2018) - 2017
- [j4]Wuhong Lin, Huawang Wu, Yishu Liu, Dongsheng Lv, Lihua Yang:
A CCA and ICA-Based Mixture Model for Identifying Major Depression Disorder. IEEE Trans. Medical Imaging 36(3): 745-756 (2017) - 2016
- [j3]Yishu Liu, Zhihua Yang, Ching Y. Suen, Lihua Yang:
A Study on Performance Improvement Due to Linear Fusion in Biometric Authentication Tasks. IEEE Trans. Syst. Man Cybern. Syst. 46(9): 1252-1264 (2016) - 2015
- [j2]Yishu Liu, Zhihua Yang, Lihua Yang:
Online Signature Verification Based on DCT and Sparse Representation. IEEE Trans. Cybern. 45(11): 2498-2511 (2015) - 2014
- [j1]Yishu Liu, Lihua Yang, Ching Y. Suen:
The Effect of Correlation and Performances of Base-Experts on Score Fusion. IEEE Trans. Syst. Man Cybern. Syst. 44(4): 510-517 (2014) - [c2]Zhihua Yang, Yishu Liu:
An on-line signature verification based on timely nonlinear sampling and sparse representation. SPAC 2014: 309-313
2000 – 2009
- 2001
- [c1]Yishu Liu, Jinyu Cen, Qian Sun, Lihua Yang:
A Design of Automatic Speech Playing System Based on Wavelet Transform. WAA 2001: 321-325
Coauthor Index
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