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Jianqing Liang
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2020 – today
- 2024
- [j16]Zijin Du, Jianqing Liang, Jiye Liang, Kaixuan Yao, Feilong Cao:
Graph Regulation Network for Point Cloud Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7940-7955 (2024) - [j15]Qin Yue, Junbiao Cui, Liang Bai, Jianqing Liang, Jiye Liang:
A zero-shot learning boosting framework via concept-constrained clustering. Pattern Recognit. 145: 109937 (2024) - [j14]Jie Wang, Jianqing Liang, Jiye Liang, Kaixuan Yao:
GUIDE: Training Deep Graph Neural Networks via Guided Dropout Over Edges. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4465-4477 (2024) - [c3]Jianqing Liang, Min Chen, Jiye Liang:
Graph External Attention Enhanced Transformer. ICML 2024 - [i1]Jianqing Liang, Min Chen, Jiye Liang:
Graph External Attention Enhanced Transformer. CoRR abs/2405.21061 (2024) - 2023
- [j13]Jiye Liang, Zijin Du, Jianqing Liang, Kaixuan Yao, Feilong Cao:
Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14975-14989 (2023) - [c2]Junbiao Cui, Jianqing Liang, Qin Yue, Jiye Liang:
A General Representation Learning Framework with Generalization Performance Guarantees. ICML 2023: 6522-6544 - [c1]Shenggui Tang, Kaixuan Yao, Jianqing Liang, Zhiqiang Wang, Jiye Liang:
Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution. WSDM 2023: 652-660 - 2022
- [j12]Kaixuan Yao, Jiye Liang, Jianqing Liang, Ming Li, Feilong Cao:
Multi-view graph convolutional networks with attention mechanism. Artif. Intell. 307: 103708 (2022) - [j11]Jie Wang, Jiye Liang, Kaixuan Yao, Jianqing Liang, Dianhui Wang:
Graph convolutional autoencoders with co-learning of graph structure and node attributes. Pattern Recognit. 121: 108215 (2022) - [j10]Xinyao Guo, Wei Wei, Jianqing Liang, Chuangyin Dang, Jiye Liang:
Metric learning via perturbing hard-to-classify instances. Pattern Recognit. 132: 108928 (2022) - [j9]Ting Guo, Jianqing Liang, Jiye Liang, Guo-Sen Xie:
Cross-modal propagation network for generalized zero-shot learning. Pattern Recognit. Lett. 159: 125-131 (2022) - [j8]Jianqing Liang, Pengfei Zhu, Chuangyin Dang, Qinghua Hu:
Semisupervised Laplace-Regularized Multimodality Metric Learning. IEEE Trans. Cybern. 52(5): 2955-2967 (2022) - 2021
- [j7]Jie Wang, Jianqing Liang, Junbiao Cui, Jiye Liang:
Semi-supervised learning with mixed-order graph convolutional networks. Inf. Sci. 573: 171-181 (2021) - [j6]Xinyao Guo, Chuangyin Dang, Jianqing Liang, Wei Wei, Jiye Liang:
Metric learning with clustering-based constraints. Int. J. Mach. Learn. Cybern. 12(12): 3597-3605 (2021)
2010 – 2019
- 2019
- [j5]Jianqing Liang, Qinghua Hu, Chuangyin Dang, Wangmeng Zuo:
Weighted Graph Embedding-Based Metric Learning for Kinship Verification. IEEE Trans. Image Process. 28(3): 1149-1162 (2019) - 2018
- [j4]Jianqing Liang, Qinghua Hu, Pengfei Zhu, Wenwu Wang:
Efficient multi-modal geometric mean metric learning. Pattern Recognit. 75: 188-198 (2018) - 2017
- [j3]Jianqing Liang, Qinghua Hu, Wenwu Wang, Yahong Han:
Semisupervised Online Multikernel Similarity Learning for Image Retrieval. IEEE Trans. Multim. 19(5): 1077-1089 (2017) - 2016
- [j2]Jianqing Liang, Yahong Han, Qinghua Hu:
Semi-supervised image clustering with multi-modal information. Multim. Syst. 22(2): 149-160 (2016) - 2013
- [j1]Chuangyin Dang, Jianqing Liang, Yang Yang:
A deterministic annealing algorithm for approximating a solution of the linearly constrained nonconvex quadratic minimization problem. Neural Networks 39: 1-11 (2013)
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