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Ke Xu 0018
Person information
- affiliation: University of Illinois at Chicago, IL, USA
Other persons with the same name
- Ke Xu — disambiguation page
- Ke Xu 0001
— Beihang University, Department of Computer Science and Engineering, Beijing, China
- Ke Xu 0002
— Tsinghua University, Department of Computer Science, Beijing, China
- Ke Xu 0003
— Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, China
- Ke Xu 0004 — National University of Singapore, Department of Electrical and Computer Engineering, Singapore
- Ke Xu 0005
— University of Science and Technology Beijing, Collaborative Innovation Center of Steel Technology, China
- Ke Xu 0006
— Fudan University, Center for Intelligent Medical Electronics, School of Information Science and Technology, Shanghai, China
- Ke Xu 0007
— Nanjing University of Aeronautics and Astronautics, National Key Laboratory of Science and Technology on Helicopter Transmission, China (and 1 more)
- Ke Xu 0008
— University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications, Chengdu, China
- Ke Xu 0009
— South China University of Technology, Key Laboratory of Robotics and Intelligent Software, China
- Ke Xu 0010
— City University of Hong Kong (and 1 more)
- Ke Xu 0011
— Beijing Jiaotong University, Institute of Information Science, China
- Ke Xu 0012 — Chinese Academy of Sciences, National Space Science Center, Beijing, China (and 1 more)
- Ke Xu 0013
— National University of Defense Technology, College of Electronic Science and Technology, Changsha, China
- Ke Xu 0014
— ZTE Microelectronics Research Institute, China (and 1 more)
- Ke Xu 0015
— Shenzhen Polytechnic, School of Electronic and Communication Engineering, China (and 1 more)
- Ke Xu 0016
— Bohai University, College of Mathematical Sciences and Physics, Jinzhou, China (and 1 more)
- Ke Xu 0017
— Beihang University, School of Aeronautic Science and Engineering, Beijing, China
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2020 – today
- 2026
- [i10]Yuanjie Zhu, Liangwei Yang, Ke Xu, Weizhi Zhang, Shanghao Li, Zihe Song, Philip S. Yu:
BlockServe: Block-Grained Continuous Batching for High-Throughput Diffusion LLM Serving. CoRR abs/2607.08930 (2026) - 2025
- [c7]Weizhi Zhang, Liangwei Yang, Wooseong Yang, Henry Peng Zou, Yuqing Liu, Ke Xu, Sourav Medya, Philip S. Yu:
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation. EMNLP (Industry Track) 2025: 2016-2024 - [c6]Weizhi Zhang
, Liangwei Yang
, Zihe Song
, Henry Peng Zou
, Ke Xu
, Yuanjie Zhu
, Philip S. Yu
:
SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation. RecSys 2025: 671-676 - [c5]Ke Xu
, Weizhi Zhang
, Zihe Song
, Yuanjie Zhu
, Philip S. Yu
:
Graph Neural Controlled Differential Equations For Collaborative Filtering. WWW (Companion Volume) 2025: 1446-1449 - [i9]Ke Xu, Weizhi Zhang, Zihe Song, Yuanjie Zhu, Philip S. Yu:
Graph Neural Controlled Differential Equations For Collaborative Filtering. CoRR abs/2501.13908 (2025) - [i8]Weizhi Zhang, Liangwei Yang, Wooseong Yang, Henry Peng Zou, Yuqing Liu, Ke Xu, Sourav Medya, Philip S. Yu:
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation. CoRR abs/2503.01814 (2025) - [i7]Xiaopeng Yuan, Xingjian Zhang, Ke Xu, Yifan Xu, Lijun Yu, Jindong Wang, Yushun Dong, Haohan Wang:
Tracing LLM Reasoning Processes with Strategic Games: A Framework for Planning, Revision, and Resource-Constrained Decision Making. CoRR abs/2506.12012 (2025) - [i6]Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu:
SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation. CoRR abs/2507.13336 (2025) - [i5]Yuanjie Zhu, Liangwei Yang, Ke Xu, Weizhi Zhang, Zihe Song, Jindong Wang, Philip S. Yu:
LLM-MemCluster: Empowering Large Language Models with Dynamic Memory for Text Clustering. CoRR abs/2511.15424 (2025) - 2024
- [c4]Weizhi Zhang
, Liangwei Yang
, Zihe Song
, Henry Peng Zou
, Ke Xu
, Liancheng Fang
, Philip S. Yu
:
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation. CIKM 2024: 3248-3258 - [i4]Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu:
Mixed Supervised Graph Contrastive Learning for Recommendation. CoRR abs/2404.15954 (2024) - [i3]Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu:
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation. CoRR abs/2407.18910 (2024) - 2023
- [c3]Weizhi Zhang, Liangwei Yang, Yuwei Cao, Ke Xu, Yuanjie Zhu, Philip S. Yu:
Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation. IEEE Big Data 2023: 483-492 - [c2]Ke Xu, Yuanjie Zhu, Weizhi Zhang, Philip S. Yu:
Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering. ICDM 2023: 1445-1450 - [c1]Ziwei Fan
, Ke Xu
, Zhang Dong
, Hao Peng
, Jiawei Zhang
, Philip S. Yu
:
Graph Collaborative Signals Denoising and Augmentation for Recommendation. SIGIR 2023: 2037-2041 - [i2]Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu:
Graph Collaborative Signals Denoising and Augmentation for Recommendation. CoRR abs/2304.03344 (2023) - [i1]Ke Xu, Yuanjie Zhu, Weizhi Zhang, Philip S. Yu:
Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering. CoRR abs/2311.12329 (2023)
Coauthor Index
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last updated on 2026-08-28 02:06 CEST by the dblp team
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