Jianqing Liang

According to our database, Jianqing Liang authored at least 19 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Graph Regulation Network for Point Cloud Segmentation.

Zijin Du, Jianqing Liang, Jiye Liang, Kaixuan Yao, Feilong Cao

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

GUIDE: Training Deep Graph Neural Networks via Guided Dropout Over Edges.

Jie Wang, Jianqing Liang, Jiye Liang, Kaixuan Yao

IEEE Trans. Neural Networks Learn. Syst., April, 2024

A zero-shot learning boosting framework via concept-constrained clustering.

Qin Yue, Junbiao Cui, Liang Bai, Jianqing Liang, Jiye Liang

Pattern Recognit., January, 2024

Graph External Attention Enhanced Transformer.

Jianqing Liang, Min Chen, Jiye Liang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud.

Jiye Liang, Zijin Du, Jianqing Liang, Kaixuan Yao, Feilong Cao

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution.

Shenggui Tang, Kaixuan Yao, Jianqing Liang, Zhiqiang Wang, Jiye Liang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A General Representation Learning Framework with Generalization Performance Guarantees.

Junbiao Cui, Jianqing Liang, Qin Yue, Jiye Liang

Proceedings of the International Conference on Machine Learning, 2023

2022

Semisupervised Laplace-Regularized Multimodality Metric Learning.

Jianqing Liang, Pengfei Zhu, Chuangyin Dang, Qinghua Hu

IEEE Trans. Cybern., 2022

Cross-modal propagation network for generalized zero-shot learning.

Ting Guo, Jianqing Liang, Jiye Liang, Guo-Sen Xie

Pattern Recognit. Lett., 2022

Graph convolutional autoencoders with co-learning of graph structure and node attributes.

Jie Wang, Jiye Liang, Kaixuan Yao, Jianqing Liang, Dianhui Wang

Pattern Recognit., 2022

Metric learning via perturbing hard-to-classify instances.

Xinyao Guo, Wei Wei, Jianqing Liang, Chuangyin Dang, Jiye Liang

Pattern Recognit., 2022

Multi-view graph convolutional networks with attention mechanism.

Kaixuan Yao, Jiye Liang, Jianqing Liang, Ming Li, Feilong Cao

Artif. Intell., 2022

2021

Metric learning with clustering-based constraints.

Xinyao Guo, Chuangyin Dang, Jianqing Liang, Wei Wei, Jiye Liang

Int. J. Mach. Learn. Cybern., 2021

Semi-supervised learning with mixed-order graph convolutional networks.

Jie Wang, Jianqing Liang, Junbiao Cui, Jiye Liang

Inf. Sci., 2021

2019

Weighted Graph Embedding-Based Metric Learning for Kinship Verification.

Jianqing Liang, Qinghua Hu, Chuangyin Dang, Wangmeng Zuo

IEEE Trans. Image Process., 2019

2018

Efficient multi-modal geometric mean metric learning.

Jianqing Liang, Qinghua Hu, Pengfei Zhu, Wenwu Wang

Pattern Recognit., 2018

2017

Semisupervised Online Multikernel Similarity Learning for Image Retrieval.

Jianqing Liang, Qinghua Hu, Wenwu Wang, Yahong Han

IEEE Trans. Multim., 2017

2016

Semi-supervised image clustering with multi-modal information.

Jianqing Liang, Yahong Han, Qinghua Hu

Multim. Syst., 2016

2013

A deterministic annealing algorithm for approximating a solution of the linearly constrained nonconvex quadratic minimization problem.

Chuangyin Dang, Jianqing Liang, Yang Yang

Neural Networks, 2013