Ye Qian, Xiaoyan Wang, Fuhui Sun, Li Pan. Compressing Transfer: Mutual Learning-Empowered Knowledge Distillation for Temporal Knowledge Graph Reasoning[J]. IEEE Transactions on Neural Networks and Learning Systems, 2025（DOI: 10.1109/TNNLS.2025.3525699）.

Bojia Liu, Conghui Zheng, Xiaoyan Wang, Fuhui Sun, Li Pan. CDCGAN: Class Distribution-aware Conditional GAN-based minority augmentation for imbalanced node classification[J]. Neural Networks, 2025, 183: 106933.

Peng Wu, Mohan Gao, Fuhui Sun, Xiaoyan Wang , Li Pan. Multi-perspective API call sequence behavior analysis and fusion for malware classification[J]. Computers & Security, 2025, 148: 104177.

Shaokang Wang, Fuhui Sun, Xiaoyan Wang, Li Pan. Incorporating target-aware knowledge into prompt-tuning for few-shot stance detection[J]. Information Processing & Management, 2024, 61(5): 103815.

Conghui Zheng, Li Pan, Peng Wu. JORA: Weakly Supervised User Identity Linkage via Jointly Learning to Represent and Align. IEEE Transactions on Neural Networks and Learning Systems. 2024, 35(3): 3900-3911.

Yu Wu, Li Pan. LSTEG: An Evolutionary Game Model Leveraging Deep Reinforcement Learning for Privacy Behavior Analysis on Social Networks[J]. Information Sciences, 2024: 120842.

Peng Wu, Conghui Zheng, Li Pan. A Unified Generative Adversarial Learning Framework for Improvement of Skip-Gram Network Representation Learning Methods. IEEE Transactions on Knowledge and Data Engineering. 2023, 35(1):45-58.

Conghui Zheng, Li Pan, Peng Wu. Attribute Augmented Network Embedding Based on Generative Adversarial Nets. IEEE Transactions on Neural Networks and Learning Systems. 2023, 34(7):3473-3487.

Ye Qian, Li Pan. Leveraging multimodal features for knowledge graph entity alignment based on dynamic self-attention networks. Expert Systems with Applications. 2023, 228: 1-11.

Ye Qian, Li Pan. Variety-aware GAN and Online Learning Augmented Self-training Model for Knowledge Graph Entity Alignment. Information Processing and Management. 2023, 60: 1-16.