Ke Xu

According to our database, Ke Xu authored at least 10 papers between 2023 and 2025.

Collaborative distances:

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

2025

LLM-MemCluster: Empowering Large Language Models with Dynamic Memory for Text Clustering.

Yuanjie Zhu, Liangwei Yang, Ke Xu, Weizhi Zhang, Zihe Song, Jindong Wang, Philip S. Yu

CoRR, November, 2025

Tracing LLM Reasoning Processes with Strategic Games: A Framework for Planning, Revision, and Resource-Constrained Decision Making.

Xiaopeng Yuan, Xingjian Zhang, Ke Xu, Yifan Xu, Lijun Yu, Jindong Wang, Yushun Dong, Haohan Wang

CoRR, June, 2025

Graph Neural Controlled Differential Equations For Collaborative Filtering.

Ke Xu, Weizhi Zhang, Zihe Song, Yuanjie Zhu, Philip S. Yu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation.

Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation.

Weizhi Zhang, Liangwei Yang, Wooseong Yang, Henry Peng Zou, Yuqing Liu, Ke Xu, Sourav Medya, Philip S. Yu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Mixed Supervised Graph Contrastive Learning for Recommendation.

Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu

CoRR, 2024

Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation.

Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Graph Collaborative Signals Denoising and Augmentation for Recommendation.

Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering.

Ke Xu, Yuanjie Zhu, Weizhi Zhang, Philip S. Yu

Proceedings of the IEEE International Conference on Data Mining, 2023

Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation.

Weizhi Zhang, Liangwei Yang, Yuwei Cao, Ke Xu, Yuanjie Zhu, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data, 2023