Ke Xu

PhD student, Computer Science, University of Illinois at Chicago

Joined

September 2024

Names

Ke Xu (Preferred)

Emails

****@uic.edu (Confirmed)

,

****@gmail.com (Confirmed)

Personal Links

Career & Education History

PhD student

Computer Science, University of Illinois at Chicago (uic.edu)

2022 – 2026

MS student

Department of Statistics, Wake Forest University (wfu.edu)

2020 – 2022

Advisors, Relations & Conflicts

PhD Advisor

2022 – 2026

Expertise

Recommender System

2022 – 2026

Graph Neural Network

2022 – 2026

Publications

Graph Neural Controlled Differential Equations For Collaborative Filtering
Ke Xu, Weizhi Zhang, Zihe Song, Yuanjie Zhu, Philip S. Yu
- WWW (Companion Volume) 2025
- Readers: Everyone
NODE-SAT: Temporal Graph Learning with Neural ODE-Guided Self-Attention
Ke Xu, Weizhi Zhang, Yuanjie Zhu, Zihe Song, Philip S. Yu
- Submitted to ICLR 2025
- Readers: Everyone
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
- CoRR 2024
- Readers: Everyone
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
- Readers: Everyone
Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering
Ke Xu, Yuanjie Zhu, Weizhi Zhang, Philip S. Yu
- ICDM 2023
- Readers: Everyone
Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation
Weizhi Zhang, Liangwei Yang, Yuwei Cao, Ke Xu, Yuanjie Zhu, Philip S. Yu
- IEEE Big Data 2023
- Readers: Everyone
Graph Collaborative Signals Denoising and Augmentation for Recommendation
Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu
- Published: 01 Jan 2023, Last Modified: 04 Aug 2023
- SIGIR 2023
- Readers: Everyone

Co-Authors