Shuaishuai Zu

According to our database, Shuaishuai Zu authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Writer-R1: Enhancing Generative Writing in LLMs via Memory-augmented Replay Policy Optimization.

Jihao Zhao, Shuaishuai Zu, Zhiyuan Ji, Chunlai Zhou, Biao Qin

CoRR, March, 2026

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

Proceedings of the ACM Web Conference 2026, 2026

Enhancing the Knowledge Tracing via a Plug-In Guided Diffusion Model.

Shuaishuai Zu, Jihao Zhao, Biao Qin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Enhancing knowledge-aware recommendation with a cross-view contrastive learning.

Ge Zhao, Shuaishuai Zu, Zhisheng Yang, Li Li

Neural Comput. Appl., January, 2025

Contrastive graph auto-encoder for graph embedding.

Shuaishuai Zu, Li Li, Jun Shen, Weitao Tang

Neural Networks, 2025

HSEKT-GS: Hypergraph structure-enhanced for knowledge tracing with gumbel-softmax sampling.

Yufei Li, Mingjing Tang, Jun Shen, Shuaishuai Zu, Wei Gao

Knowl. Based Syst., 2025

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Invoke Interfaces Only When Needed: Adaptive Invocation for Large Language Models in Question Answering.

Jihao Zhao, Chunlai Zhou, Daixuan Li, Shuaishuai Zu, Biao Qin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Fair Knowledge Tracing in Second Language Acquisition.

Weitao Tang, Guanliang Chen, Shuaishuai Zu, Jiangyi Luo

CoRR, 2024

GuessKT: Improving Knowledge Tracing via Considering Guess Behaviors.

Shuaishuai Zu, Songtao Cai, Weitao Tang, Chuyu Wang, Li Li, Jun Shen

Proceedings of the IEEE International Conference on Acoustics, 2024

CIKT: Causality Inspired Knowledge Tracing.

Shuaishuai Zu, Li Li, Songtao Cai, Jun Shen

Proceedings of the Database Systems for Advanced Applications, 2024

2023

CAKT: Coupling contrastive learning with attention networks for interpretable knowledge tracing.

Shuaishuai Zu, Li Li, Jun Shen

Proceedings of the International Joint Conference on Neural Networks, 2023

Contrastive Learning Augmented Graph Auto-Encoder.

Shuaishuai Zu, Chuyu Wang, Yafei Liu, Jun Shen, Li Li

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Multi-level Noise Filtering and Preference Propagation Enhanced Knowledge Graph Recommendation.

Ge Zhao, Shuaishuai Zu, Li Li, Zhisheng Yang

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

CKGE: Improving Distance Based Knowledge Graph Embedding via Contrastive Learning.

Yafei Liu, Shuaishuai Zu, Li Li

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023