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Journal Articles
- 2024
[j11]Haoyang Jiang, Yimin Yin, Jinghua Zhang
, Wanxia Deng, Chen Li:
Deep learning for liver cancer histopathology image analysis: A comprehensive survey. Eng. Appl. Artif. Intell. 133: 108436 (2024)- [j10]Yawen Cui, Wanxia Deng, Haoyu Chen, Li Liu:
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14259-14272 (2024) - 2023
- [j9]Wanying Yang, Lei Liu, Wanxia Deng, Wei Huang, Jin Ye, Shuai Hu:
Deep Retrieval Architecture of Temperature and Humidity Profiles from Ground-Based Infrared Hyperspectral Spectrometer. Remote. Sens. 15(9): 2320 (2023) - [j8]Yawen Cui, Wanxia Deng, Xin Xu, Zhen Liu, Zhong Liu, Matti Pietikäinen, Li Liu:
Uncertainty-Guided Semi-Supervised Few-Shot Class-Incremental Learning With Knowledge Distillation. IEEE Trans. Multim. 25: 6422-6435 (2023) - [j7]Changchong Sheng, Li Liu, Wanxia Deng, Liang Bai, Zhong Liu, Songyang Lao, Gangyao Kuang, Matti Pietikäinen:
Importance-Aware Information Bottleneck Learning Paradigm for Lip Reading. IEEE Trans. Multim. 25: 6563-6574 (2023) - 2022
- [j6]Wanxia Deng, Lingjun Zhao, Gangyao Kuang, Dewen Hu, Matti Pietikäinen, Li Liu:
Deep Ladder-Suppression Network for Unsupervised Domain Adaptation. IEEE Trans. Cybern. 52(10): 10735-10749 (2022) - [j5]Wanxia Deng, Lingjun Zhao, Qing Liao, Deke Guo, Gangyao Kuang, Dewen Hu, Matti Pietikäinen, Li Liu:
Informative Feature Disentanglement for Unsupervised Domain Adaptation. IEEE Trans. Multim. 24: 2407-2421 (2022) - 2021
- [j4]Wanxia Deng, Zhuo Su, Qiang Qiu, Lingjun Zhao, Gangyao Kuang, Matti Pietikäinen, Huaxin Xiao, Li Liu:
Deep ladder reconstruction-classification network for unsupervised domain adaptation. Pattern Recognit. Lett. 152: 398-405 (2021) - [j3]Wanxia Deng, Qing Liao, Lingjun Zhao, Deke Guo, Gangyao Kuang, Dewen Hu, Li Liu:
Joint Clustering and Discriminative Feature Alignment for Unsupervised Domain Adaptation. IEEE Trans. Image Process. 30: 7842-7855 (2021) - 2018
- [j2]Wanxia Deng, Huanxin Zou, Fang Guo, Lin Lei, Shilin Zhou:
Point-pattern matching based on point pair local topology and probabilistic relaxation labeling. Vis. Comput. 34(1): 55-65 (2018) - [j1]Wanxia Deng, Huanxin Zou, Fang Guo, Lin Lei, Shilin Zhou, Tiancheng Luo:
A robust non-rigid point set registration method based on inhomogeneous Gaussian mixture models. Vis. Comput. 34(10): 1399-1414 (2018)
Conference and Workshop Papers
- 2023
- [c4]Jiangming Chen, Wanxia Deng, Bo Peng, Tianpeng Liu, Yingmei Wei, Li Liu:
Variational Information Bottleneck for Cross Domain Object Detection. ICME 2023: 2231-2236 - 2022
- [c3]Xueyi Zhang, Chengwei Zhang, Jinping Sui, Changchong Sheng, Wanxia Deng, Li Liu:
Boosting Lip Reading with a Multi-View Fusion Network. ICME 2022: 1-6 - 2021
- [c2]Lingjun Zhao, Wanxia Deng, Gangyao Kuang, Dewen Hu, Li Liu:
Transferable Discriminative Feature Mining For Unsupervised Domain Adaptation. ICIP 2021: 1259-1263 - [c1]Wanxia Deng, Yawen Cui, Zhen Liu, Gangyao Kuang, Dewen Hu, Matti Pietikäinen, Li Liu:
Informative Class-Conditioned Feature Alignment for Unsupervised Domain Adaptation. ACM Multimedia 2021: 1303-1312
Informal and Other Publications
- 2024
- [i4]Jiangming Chen, Li Liu, Wanxia Deng, Zhen Liu, Yu Liu, Yingmei Wei, Yongxiang Liu:
Cross Domain Object Detection via Multi-Granularity Confidence Alignment based Mean Teacher. CoRR abs/2407.07780 (2024) - 2023
- [i3]Yawen Cui, Wanxia Deng, Haoyu Chen, Li Liu:
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning. CoRR abs/2301.09964 (2023) - 2022
- [i2]Renye Zhang, Yimin Yin, Wanxia Deng, Chen Li, Jinghua Zhang:
Deep Learning for Finger Vein Recognition: A Brief Survey of Recent Trend. CoRR abs/2207.02148 (2022) - [i1]Yimin Yin, Renye Zhang, Pengfei Liu, Wanxia Deng, Siliang He, Chen Li, Jinghua Zhang:
Artificial Neural Networks for Finger Vein Recognition: A Survey. CoRR abs/2208.13341 (2022)
Coauthor Index
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