Ke Xu - RankMe

16 papers A* 2A 2B 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Graph Neural Controlled Differential Equations For Collaborative Filtering. WWW (Companion Volume) Ke Xu, Weizhi Zhang, Zihe Song, Yuanjie Zhu, Philip S. Yu
2025	J	`jnl`	Graph Neural Controlled Differential Equations For Collaborative Filtering. CoRR Ke Xu, Weizhi Zhang, Zihe Song, Yuanjie Zhu, Philip S. Yu
2025	J	`jnl`	LLM-MemCluster: Empowering Large Language Models with Dynamic Memory for Text Clustering. CoRR Yuanjie Zhu, Liangwei Yang, Ke Xu, Weizhi Zhang, Zihe Song, Jindong Wang, Philip S. Yu
2025	—	`conf`	LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation. EMNLP (Industry Track) Weizhi Zhang, Liangwei Yang, Wooseong Yang, Henry Peng Zou, Yuqing Liu, Ke Xu, Sourav Medya, Philip S. Yu
2025	J	`jnl`	LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation. CoRR Weizhi Zhang, Liangwei Yang, Wooseong Yang, Henry Peng Zou, Yuqing Liu, Ke Xu, Sourav Medya, Philip S. Yu
2025	A	`conf`	SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation. RecSys Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu
2025	J	`jnl`	SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation. CoRR Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu
2025	J	`jnl`	Tracing LLM Reasoning Processes with Strategic Games: A Framework for Planning, Revision, and Resource-Constrained Decision Making. CoRR Xiaopeng Yuan, Xingjian Zhang, Ke Xu, Yifan Xu, Lijun Yu, Jindong Wang, Yushun Dong, Haohan Wang
2024	A	`conf`	Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation. CIKM Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu
2024	J	`jnl`	Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation. CoRR Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu
2024	J	`jnl`	Mixed Supervised Graph Contrastive Learning for Recommendation. CoRR Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu
2023	B	`conf`	Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation. IEEE Big Data Weizhi Zhang, Liangwei Yang, Yuwei Cao, Ke Xu, Yuanjie Zhu, Philip S. Yu
2023	A*	`conf`	Graph Collaborative Signals Denoising and Augmentation for Recommendation. SIGIR Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu
2023	J	`jnl`	Graph Collaborative Signals Denoising and Augmentation for Recommendation. CoRR Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu
2023	A*	`conf`	Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering. ICDM Ke Xu, Yuanjie Zhu, Weizhi Zhang, Philip S. Yu
2023	J	`jnl`	Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering. CoRR Ke Xu, Yuanjie Zhu, Weizhi Zhang, Philip S. Yu