| 2026 | AAAI | Point Cloud Semantic Scene Completion with Prototype-Guided Transformer. | Chenghao Fang, Jianqing Liang, Jiye Liang, Zijin Du, Feilong Cao |
| 2026 | AAAI | Semantic Guided Part Relation-aware Network for Point Cloud Completion. | Zhensheng Zhou, Jianqing Liang, Jiye Liang, Zijin Du, Chenghao Fang |
| 2026 | WWW | Graph Adversarial Defense via Hilbert-Schmidt Independence Criterion against Influence Maximization Attacks. | Yuxing Guo, Jianqing Liang, Kaixuan Yao, Zhihao Guo, Jiye Liang |
| 2026 | WWW | Counterfactual Meta-task Augmentation for Few-shot Graph Node Classification. | Zhiqiang Wang, Jiaxin Zhang, Chenchao Zhang, Shiying Cheng, Jianqing Liang, Peng Song |
| 2025 | AAAI | Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation. | Zhiqiang Wang, Jiayi Pan, Xingwang Zhao, Jianqing Liang, Chenjiao Feng, Kaixuan Yao |
| 2025 | AAAI | Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks. | Zhiqiang Wang, Jiayu Guo, Jianqing Liang, Jiye Liang, Shiying Cheng, Jiarong Zhang |
| 2025 | AAAI | GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning. | Jianqing Liang, Xinkai Wei, Min Chen, Zhiqiang Wang, Jiye Liang |
| 2025 | AAAI | Class Semantic Attribute Perception Guided Zero-Shot Learning. | Qin Yue, Junbiao Cui, Jianqing Liang, Liang Bai |
| 2025 | ICML | Human Cognition-Inspired Hierarchical Fuzzy Learning Machine. | Junbiao Cui, Qin Yue, Jianqing Liang, Jiye Liang |
| 2025 | ICML | ML2-GCL: Manifold Learning Inspired Lightweight Graph Contrastive Learning. | Jianqing Liang, Zhiqiang Li, Xinkai Wei, Yuan Liu, Zhiqiang Wang |
| 2025 | ICML | Delay-DSGN: A Dynamic Spiking Graph Neural Network with Delay Mechanisms for Evolving Graph. | Zhiqiang Wang, Jianghao Wen, Jianqing Liang |
| 2025 | ICML | CSG-ODE: ControlSynth Graph ODE For Modeling Complex Evolution of Dynamic Graphs. | Zhiqiang Wang, Xiaoyi Wang, Jianqing Liang |
| 2025 | IJCAI | Open-World Semi-Supervised Learning with Class Semantic Correlations. | Yuxin Fan, Junbiao Cui, Jiye Liang, Jianqing Liang |
| 2025 | IJCAI | Multi-Modal Point Cloud Completion with Interleaved Attention Enhanced Transformer. | Chenghao Fang, Jianqing Liang, Jiye Liang, Hangkun Wang, Kaixuan Yao, Feilong Cao |
| 2025 | IJCAI | Uncertainty-guided Graph Contrastive Learning from a Unified Perspective. | Zhiqiang Li, Jie Wang, Jianqing Liang, Junbiao Cui, Xingwang Zhao, Jiye Liang |
| 2024 | ICML | Graph External Attention Enhanced Transformer. | Jianqing Liang, Min Chen, Jiye Liang |
| 2023 | ICML | A General Representation Learning Framework with Generalization Performance Guarantees. | Junbiao Cui, Jianqing Liang, Qin Yue, Jiye Liang |
| 2023 | WSDM | Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution. | Shenggui Tang, Kaixuan Yao, Jianqing Liang, Zhiqiang Wang, Jiye Liang |