| 2026 | AAAI | Enhancing the Knowledge Tracing via a Plug-In Guided Diffusion Model. | Shuaishuai Zu, Jihao Zhao, Biao Qin |
| 2026 | WWW | QChunker: Learning Question-Aware Text Chunking for Domain RAG via Multi-Agent Debate. | Jihao Zhao, Daixuan Li, Pengfei Li, Shuaishuai Zu, Biao Qin, Hongyan Liu |
| 2025 | EMNLP | Invoke Interfaces Only When Needed: Adaptive Invocation for Large Language Models in Question Answering. | Jihao Zhao, Chunlai Zhou, Daixuan Li, Shuaishuai Zu, Biao Qin |
| 2025 | WACV | 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 |
| 2024 | DASFAA | CIKT: Causality Inspired Knowledge Tracing. | Shuaishuai Zu, Li Li, Songtao Cai, Jun Shen |
| 2024 | ICASSP | GuessKT: Improving Knowledge Tracing via Considering Guess Behaviors. | Shuaishuai Zu, Songtao Cai, Weitao Tang, Chuyu Wang, Li Li, Jun Shen |
| 2023 | ADMA | CKGE: Improving Distance Based Knowledge Graph Embedding via Contrastive Learning. | Yafei Liu, Shuaishuai Zu, Li Li |
| 2023 | ADMA | Multi-level Noise Filtering and Preference Propagation Enhanced Knowledge Graph Recommendation. | Ge Zhao, Shuaishuai Zu, Li Li, Zhisheng Yang |
| 2023 | ICONIP | Contrastive Learning Augmented Graph Auto-Encoder. | Shuaishuai Zu, Chuyu Wang, Yafei Liu, Jun Shen, Li Li |
| 2023 | IJCNN | CAKT: Coupling contrastive learning with attention networks for interpretable knowledge tracing. | Shuaishuai Zu, Li Li, Jun Shen |