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)

Semi-supervised image clustering with multi-modal information. - Jianqing Liang; Yahong Han; Qinghua Hu (Multim. Syst., 2016)

Semisupervised Online Multikernel Similarity Learning for Image Retrieval. - Jianqing Liang; Qinghua Hu; Wenwu Wang 001; Yahong Han (IEEE Trans. Multim., 2017)

Efficient multi-modal geometric mean metric learning. - Jianqing Liang; Qinghua Hu; Pengfei Zhu 001; Wenwu Wang 001 (Pattern Recognit., 2018)

Weighted Graph Embedding-Based Metric Learning for Kinship Verification. - Jianqing Liang; Qinghua Hu; Chuangyin Dang; Wangmeng Zuo (IEEE Trans. Image Process., 2019)

Semi-supervised learning with mixed-order graph convolutional networks. - Jie Wang 046; Jianqing Liang; Junbiao Cui; Jiye Liang (Inf. Sci., 2021)

Metric learning with clustering-based constraints. - Xinyao Guo; Chuangyin Dang; Jianqing Liang; Wei Wei 018; Jiye Liang (Int. J. Mach. Learn. Cybern., 2021)

Multi-view graph convolutional networks with attention mechanism. - Kaixuan Yao; Jiye Liang; Jianqing Liang; Ming Li 065; Feilong Cao (Artif. Intell., 2022)

Metric learning via perturbing hard-to-classify instances. - Xinyao Guo; Wei Wei 018; Jianqing Liang; Chuangyin Dang; Jiye Liang (Pattern Recognit., 2022)

Graph convolutional autoencoders with co-learning of graph structure and node attributes. - Jie Wang 046; Jiye Liang; Kaixuan Yao; Jianqing Liang; Dianhui Wang 001 (Pattern Recognit., 2022)

Cross-modal propagation network for generalized zero-shot learning. - Ting Guo; Jianqing Liang; Jiye Liang; Guo-Sen Xie (Pattern Recognit. Lett., 2022)

Semisupervised Laplace-Regularized Multimodality Metric Learning. - Jianqing Liang; Pengfei Zhu 001; Chuangyin Dang; Qinghua Hu (IEEE Trans. Cybern., 2022)

A General Representation Learning Framework with Generalization Performance Guarantees. - Junbiao Cui; Jianqing Liang; Qin Yue 002; Jiye Liang (ICML, 2023)

Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution. - Shenggui Tang; Kaixuan Yao; Jianqing Liang; Zhiqiang Wang 005; Jiye Liang (WSDM, 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., 2023)

Graph External Attention Enhanced Transformer. - Jianqing Liang; Min Chen; Jiye Liang (ICML, 2024)

A zero-shot learning boosting framework via concept-constrained clustering. - Qin Yue 002; Junbiao Cui; Liang Bai; Jianqing Liang; Jiye Liang (Pattern Recognit., 2024)

GUIDE: Training Deep Graph Neural Networks via Guided Dropout Over Edges. - Jie Wang 046; Jianqing Liang; Jiye Liang; Kaixuan Yao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Graph Regulation Network for Point Cloud Segmentation. - Zijin Du; Jianqing Liang; Jiye Liang; Kaixuan Yao; Feilong Cao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation. - Zhiqiang Wang 005; Jiayi Pan 006; Xingwang Zhao; Jianqing Liang; Chenjiao Feng; Kaixuan Yao (AAAI, 2025)

Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks. - Zhiqiang Wang 005; Jiayu Guo; Jianqing Liang; Jiye Liang; Shiying Cheng; Jiarong Zhang (AAAI, 2025)

GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning. - Jianqing Liang; Xinkai Wei; Min Chen; Zhiqiang Wang 005; Jiye Liang (AAAI, 2025)

Class Semantic Attribute Perception Guided Zero-Shot Learning. - Qin Yue 002; Junbiao Cui; Jianqing Liang; Liang Bai (AAAI, 2025)