CKGE: Improving Distance Based Knowledge Graph Embedding via Contrastive Learning. - Yafei Liu; Shuaishuai Zu; Li Li (ADMA (2), 2023)

Multi-level Noise Filtering and Preference Propagation Enhanced Knowledge Graph Recommendation. - Ge Zhao; Shuaishuai Zu; Li Li; Zhisheng Yang (ADMA (1), 2023)

Contrastive Learning Augmented Graph Auto-Encoder. - Shuaishuai Zu; Chuyu Wang; Yafei Liu; Jun Shen 001; Li Li 006 (ICONIP (11), 2023)

CAKT: Coupling contrastive learning with attention networks for interpretable knowledge tracing. - Shuaishuai Zu; Li Li 006; Jun Shen 001 (IJCNN, 2023)

CIKT: Causality Inspired Knowledge Tracing. - Shuaishuai Zu; Li Li 006; Songtao Cai; Jun Shen 001 (DASFAA (4), 2024)

GuessKT: Improving Knowledge Tracing via Considering Guess Behaviors. - Shuaishuai Zu; Songtao Cai; Weitao Tang; Chuyu Wang; Li Li 006; Jun Shen 001 (ICASSP, 2024)

Fair Knowledge Tracing in Second Language Acquisition. - Weitao Tang; Guanliang Chen; Shuaishuai Zu; Jiangyi Luo (CoRR, 2024)

Multi-Modal Large Language Model with RAG Strategies in Soccer Commentary Generation. - Xiang Li; Yangfan He; Shuaishuai Zu; Zhengyang Li; Tianyu Shi; Yiting Xie; Kevin Zhang (WACV, 2025)

Contrastive graph auto-encoder for graph embedding. - Shuaishuai Zu; Li Li 006; Jun Shen 001; Weitao Tang (Neural Networks, 2025)

Enhancing knowledge-aware recommendation with a cross-view contrastive learning. - Ge Zhao; Shuaishuai Zu; Zhisheng Yang; Li Li 006 (Neural Comput. Appl., 2025)