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Guowu Yang
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Publications
- 2023
- [j78]Fengmao Lv, Jianyang Zhang, Guowu Yang, Lei Feng, Yufeng Yu, Lixin Duan:
Learning cross-domain semantic-visual relationships for transductive zero-shot learning. Pattern Recognit. 141: 109591 (2023) - [j75]Jianyang Zhang, Guowu Yang, Ping Hu, Guosheng Lin, Fengmao Lv:
Semantic Consistent Embedding for Domain Adaptive Zero-Shot Learning. IEEE Trans. Image Process. 32: 4024-4035 (2023) - 2022
- [j72]Defu Liu, Jiayi Zhao, Jinzhao Wu, Guowu Yang, Fengmao Lv:
Multi-category classification with label noise by robust binary loss. Neurocomputing 482: 14-26 (2022) - [c43]Jianyang Zhang, Tao Liang, Mingyang Wan, Guowu Yang, Fengmao Lv:
Curriculum Knowledge Distillation for Emoji-supervised Cross-lingual Sentiment Analysis. EMNLP 2022: 864-875 - [c42]Shuo He, Lei Feng, Fengmao Lv, Wen Li, Guowu Yang:
Partial Label Learning with Semantic Label Representations. KDD 2022: 545-553 - 2021
- [j66]Fengmao Lv, Tao Liang, Jiayi Zhao, Zhongliu Zhuo, Jinzhao Wu, Guowu Yang:
Latent Gaussian process for anomaly detection in categorical data. Knowl. Based Syst. 220: 106896 (2021) - [j61]Fengmao Lv, Guosheng Lin, Peng Liu, Guowu Yang, Sinno Jialin Pan, Lixin Duan:
Weakly-Supervised Cross-Domain Road Scene Segmentation via Multi-Level Curriculum Adaptation. IEEE Trans. Circuits Syst. Video Technol. 31(9): 3493-3503 (2021) - [c41]Defu Liu, Guowu Yang, Jinzhao Wu, Jiayi Zhao, Fengmao Lv:
Robust Binary Loss for Multi-Category Classification with Label Noise. ICASSP 2021: 1700-1704 - 2020
- [j59]Defu Liu, Guowu Yang, Yuchen Li, Jinzhao Wu, Fengmao Lv:
Gradient boosting tree for 1H-MRS Alzheimer diagnosis. Int. J. Data Min. Bioinform. 23(1): 12-29 (2020) - [j55]Fengmao Lv, Haiyang Liu, Yichen Wang, Jiayi Zhao, Guowu Yang:
Learning Unbiased Zero-Shot Semantic Segmentation Networks Via Transductive Transfer. IEEE Signal Process. Lett. 27: 1640-1644 (2020) - [i7]Jianyang Zhang, Fengmao Lv, Guowu Yang, Lei Feng, Yufeng Yu, Lixin Duan:
Learning Cross-domain Semantic-Visual Relation for Transductive Zero-Shot Learning. CoRR abs/2003.14105 (2020) - [i6]Haiyang Liu, Yichen Wang, Jiayi Zhao, Guowu Yang, Fengmao Lv:
Learning unbiased zero-shot semantic segmentation networks via transductive transfer. CoRR abs/2007.00515 (2020) - 2019
- [j50]Fengmao Lv, Jun Zhu, Guowu Yang, Lixin Duan:
TarGAN: Generating target data with class labels for unsupervised domain adaptation. Knowl. Based Syst. 172: 123-129 (2019) - 2018
- [c38]Fengmao Lv, Yuchen Li, Guowu Yang:
Boosting 1H-MRS Alzheimer Diagnosis with Boosted Trees. BIBM 2018: 913-918 - [c37]Tao Liang, Guowu Yang, Fengmao Lv, Juliang Zhang, Zhantao Cao, Qing Li:
Convolutional Neural Networks for Text Classification with Multi-size Convolution and Multi-type Pooling. DASFAA Workshops 2018: 3-12 - [c36]Fengmao Lv, Qing Lian, Guowu Yang, Guosheng Lin, Sinno Jialin Pan, Lixin Duan:
Domain Adaptive Semantic Segmentation Through Structure Enhancement. ECCV Workshops (2) 2018: 172-179 - [c34]Fengmao Lv, Hao Chen, Jinzhao Wu, Linfeng Zhong, Xiaoyu Li, Guowu Yang:
Improving Target Discriminability for Unsupervised Domain Adaptation. ICONIP (5) 2018: 287-298 - 2017
- [j40]Fengmao Lv, Guowu Yang, Wenjing Yang, Xiaosong Zhang, Kenli Li:
The convergence and termination criterion of quantum-inspired evolutionary neural networks. Neurocomputing 238: 157-167 (2017) - [j38]Fengmao Lv, Guowu Yang, William Zhu, Chuan Liu:
Generative classification model for categorical data based on latent Gaussian process. Pattern Recognit. Lett. 92: 56-61 (2017) - [c29]Fengmao Lv, Guowu Yang, Jinzhao Wu, Chuan Liu, Yuhong Yang:
Anomaly Detection for Categorical Observations Using Latent Gaussian Process. ICONIP (5) 2017: 285-296 - 2014
- [c24]Fengmao Lv, Guowu Yang, Shuangbao Wang, Fuyou Fan:
The Research on Controlling the Iteration of Quantum-Inspired Evolutionary Algorithms for Artificial Neural Networks. AAIM 2014: 253-262
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