Jianqing Liang

36 papers A* 17A 1Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Counterfactual Meta-task Augmentation for Few-shot Graph Node Classification. WWW Zhiqiang Wang, Jiaxin Zhang, Chenchao Zhang, Shiying Cheng, Jianqing Liang, Peng Song
2026	A*	`conf`	Graph Adversarial Defense via Hilbert-Schmidt Independence Criterion against Influence Maximization Attacks. WWW Yuxing Guo, Jianqing Liang, Kaixuan Yao, Zhihao Guo, Jiye Liang
2026	A*	`conf`	Point Cloud Semantic Scene Completion with Prototype-Guided Transformer. AAAI Chenghao Fang, Jianqing Liang, Jiye Liang, Zijin Du, Feilong Cao
2026	A*	`conf`	Semantic Guided Part Relation-aware Network for Point Cloud Completion. AAAI Zhensheng Zhou, Jianqing Liang, Jiye Liang, Zijin Du, Chenghao Fang
2025	A*	`conf`	CSG-ODE: ControlSynth Graph ODE For Modeling Complex Evolution of Dynamic Graphs. ICML Zhiqiang Wang, Xiaoyi Wang, Jianqing Liang
2025	A*	`conf`	Class Semantic Attribute Perception Guided Zero-Shot Learning. AAAI Qin Yue, Junbiao Cui, Jianqing Liang, Liang Bai
2025	A*	`conf`	Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation. AAAI Zhiqiang Wang, Jiayi Pan, Xingwang Zhao, Jianqing Liang, Chenjiao Feng, Kaixuan Yao
2025	A*	`conf`	Delay-DSGN: A Dynamic Spiking Graph Neural Network with Delay Mechanisms for Evolving Graph. ICML Zhiqiang Wang, Jianghao Wen, Jianqing Liang
2025	A*	`conf`	GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning. AAAI Jianqing Liang, Xinkai Wei, Min Chen, Zhiqiang Wang, Jiye Liang
2025	A*	`conf`	Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks. AAAI Zhiqiang Wang, Jiayu Guo, Jianqing Liang, Jiye Liang, Shiying Cheng, Jiarong Zhang
2025	A*	`conf`	Human Cognition-Inspired Hierarchical Fuzzy Learning Machine. ICML Junbiao Cui, Qin Yue, Jianqing Liang, Jiye Liang
2025	A*	`conf`	ML2-GCL: Manifold Learning Inspired Lightweight Graph Contrastive Learning. ICML Jianqing Liang, Zhiqiang Li, Xinkai Wei, Yuan Liu, Zhiqiang Wang
2025	A*	`conf`	Multi-Modal Point Cloud Completion with Interleaved Attention Enhanced Transformer. IJCAI Chenghao Fang, Jianqing Liang, Jiye Liang, Hangkun Wang, Kaixuan Yao, Feilong Cao
2025	A*	`conf`	Open-World Semi-Supervised Learning with Class Semantic Correlations. IJCAI Yuxin Fan, Junbiao Cui, Jiye Liang, Jianqing Liang
2025	A*	`conf`	Uncertainty-guided Graph Contrastive Learning from a Unified Perspective. IJCAI Zhiqiang Li, Jie Wang, Jianqing Liang, Junbiao Cui, Xingwang Zhao, Jiye Liang
2024	J	`jnl`	A zero-shot learning boosting framework via concept-constrained clustering. Pattern Recognit. Qin Yue, Junbiao Cui, Liang Bai, Jianqing Liang, Jiye Liang
2024	J	`jnl`	GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning. CoRR Jianqing Liang, Xinkai Wei, Min Chen, Zhiqiang Wang, Jiye Liang
2024	J	`jnl`	GUIDE: Training Deep Graph Neural Networks via Guided Dropout Over Edges. IEEE Trans. Neural Networks Learn. Syst. Jie Wang, Jianqing Liang, Jiye Liang, Kaixuan Yao
2024	A*	`conf`	Graph External Attention Enhanced Transformer. ICML Jianqing Liang, Min Chen, Jiye Liang
2024	J	`jnl`	Graph External Attention Enhanced Transformer. CoRR Jianqing Liang, Min Chen, Jiye Liang
2024	J	`jnl`	Graph Regulation Network for Point Cloud Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Zijin Du, Jianqing Liang, Jiye Liang, Kaixuan Yao, Feilong Cao
2023	A*	`conf`	A General Representation Learning Framework with Generalization Performance Guarantees. ICML Junbiao Cui, Jianqing Liang, Qin Yue, Jiye Liang
2023	A	`conf`	Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution. WSDM Shenggui Tang, Kaixuan Yao, Jianqing Liang, Zhiqiang Wang, Jiye Liang
2023	J	`jnl`	Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud. IEEE Trans. Pattern Anal. Mach. Intell. Jiye Liang, Zijin Du, Jianqing Liang, Kaixuan Yao, Feilong Cao
2022	J	`jnl`	Cross-modal propagation network for generalized zero-shot learning. Pattern Recognit. Lett. Ting Guo, Jianqing Liang, Jiye Liang, Guo-Sen Xie
2022	J	`jnl`	Graph convolutional autoencoders with co-learning of graph structure and node attributes. Pattern Recognit. Jie Wang, Jiye Liang, Kaixuan Yao, Jianqing Liang, Dianhui Wang
2022	J	`jnl`	Metric learning via perturbing hard-to-classify instances. Pattern Recognit. Xinyao Guo, Wei Wei, Jianqing Liang, Chuangyin Dang, Jiye Liang
2022	J	`jnl`	Multi-view graph convolutional networks with attention mechanism. Artif. Intell. Kaixuan Yao, Jiye Liang, Jianqing Liang, Ming Li, Feilong Cao
2022	J	`jnl`	Semisupervised Laplace-Regularized Multimodality Metric Learning. IEEE Trans. Cybern. Jianqing Liang, Pengfei Zhu, Chuangyin Dang, Qinghua Hu
2021	J	`jnl`	Metric learning with clustering-based constraints. Int. J. Mach. Learn. Cybern. Xinyao Guo, Chuangyin Dang, Jianqing Liang, Wei Wei, Jiye Liang
2021	J	`jnl`	Semi-supervised learning with mixed-order graph convolutional networks. Inf. Sci. Jie Wang, Jianqing Liang, Junbiao Cui, Jiye Liang
2019	J	`jnl`	Weighted Graph Embedding-Based Metric Learning for Kinship Verification. IEEE Trans. Image Process. Jianqing Liang, Qinghua Hu, Chuangyin Dang, Wangmeng Zuo
2018	J	`jnl`	Efficient multi-modal geometric mean metric learning. Pattern Recognit. Jianqing Liang, Qinghua Hu, Pengfei Zhu, Wenwu Wang
2017	J	`jnl`	Semisupervised Online Multikernel Similarity Learning for Image Retrieval. IEEE Trans. Multim. Jianqing Liang, Qinghua Hu, Wenwu Wang, Yahong Han
2016	J	`jnl`	Semi-supervised image clustering with multi-modal information. Multim. Syst. Jianqing Liang, Yahong Han, Qinghua Hu
2013	J	`jnl`	A deterministic annealing algorithm for approximating a solution of the linearly constrained nonconvex quadratic minimization problem. Neural Networks Chuangyin Dang, Jianqing Liang, Yang Yang