Xiangyu Ke

74 papers A* 12A 3Journal 53Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient graph embedding at scale: optimizing CPU-GPU-SSD integration.
VLDB J.
Zhonggen Li, Xiangyu Ke, Yifan Zhu, Yunjun Gao, Feifei Li
2026 A conf
GNN Explainers 2.0: User-centric and Data-driven Insights.
WSDM
Arijit Khan, Xiangyu Ke, Yinghui Wu, Francesco Bonchi
2026 A* conf
SliceGX: Layer-wise GNN Explanation with Model-slicing.
WWW
Cibo Yu, Tingting Zhu, Tingyang Chen, Yinghui Wu, Arijit Khan, Xiangyu Ke
2025 J jnl
Accelerating Graph Indexing for ANNS on Modern CPUs.
CoRR
Mengzhao Wang, Haotian Wu, Xiangyu Ke, Yunjun Gao, Yifan Zhu, Wenchao Zhou
2025 J jnl
Accelerating Graph Indexing for ANNS on Modern CPUs.
Proc. ACM Manag. Data
Mengzhao Wang, Haotian Wu, Xiangyu Ke, Yunjun Gao, Yifan Zhu, Wenchao Zhou
2025 J jnl
Balancing the Blend: An Experimental Analysis of Trade-offs in Hybrid Search.
CoRR
Mengzhao Wang, Boyu Tan, Yunjun Gao, Hai Jin, Yingfeng Zhang, Xiangyu Ke, Xiaoliang Xu, Yifan Zhu
2025 J jnl
Beyond Relational: Semantic-Aware Multi-Modal Analytics with LLM-Native Query Optimization.
CoRR
Junhao Zhu, Lu Chen, Xiangyu Ke, Ziquan Fang, Tianyi Li, Yunjun Gao, Christian S. Jensen
2025 J jnl
Beyond influence: voting theory for opinion maximization.
VLDB J.
Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan
2025 J jnl
Cohesiveness-aware Hierarchical Compressed Index for Community Search on Attributed Graphs.
Proc. ACM Manag. Data
Yuxiang Wang, Zhangyang Peng, Xiangyu Ke, Xiaoliang Xu, Tianxing Wu, Yuan Gao
2025 J jnl
Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration.
CoRR
Zhonggen Li, Xiangyu Ke, Yifan Zhu, Yunjun Gao, Feifei Li
2025 — conf
Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities.
KDD (2)
Jiancheng Ruan, Tingyang Chen, Renchi Yang, Xiangyu Ke, Yunjun Gao
2025 J jnl
Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities.
CoRR
Jiancheng Ruan, Tingyang Chen, Renchi Yang, Xiangyu Ke, Yunjun Gao
2025 J jnl
Graph Data Management and Graph Machine Learning: Synergies and Opportunities.
CoRR
Arijit Khan, Xiangyu Ke, Yinghui Wu
2025 J jnl
Graph Data Management and Graph Machine Learning: Synergies and Opportunities.
SIGMOD Rec.
Arijit Khan, Xiangyu Ke, Yinghui Wu
2025 A* conf
HC-SpMM: Accelerating Sparse Matrix-Matrix Multiplication for Graphs with Hybrid GPU Cores.
ICDE
Zhonggen Li, Xiangyu Ke, Yifan Zhu, Yunjun Gao, Yaofeng Tu
2025 J jnl
In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration.
CoRR
Jiajie Fu, Haitong Tang, Arijit Khan, Sharad Mehrotra, Xiangyu Ke, Yunjun Gao
2025 J jnl
In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration.
Proc. ACM Manag. Data
Jiajie Fu, Haitong Tang, Arijit Khan, Sharad Mehrotra, Xiangyu Ke, Yunjun Gao
2025 J jnl
Large-Scale Community Key-Member Search: An Efficient Approach Based on Random Walks.
Big Data Min. Anal.
Yuyang Zhao, Yuxiang Wang, Xiaoliang Xu, Yue Wu, Tianxing Wu, Xiangyu Ke
2025 J jnl
Maximum Inner Product is Query-Scaled Nearest Neighbor.
CoRR
Tingyang Chen, Cong Fu, Kun Wang, Xiangyu Ke, Yunjun Gao, Wenchao Zhou, Yabo Ni, Anxiang Zeng
2025 J jnl
Maximum Inner Product is Query-Scaled Nearest Neighbor.
Proc. VLDB Endow.
Tingyang Chen, Cong Fu, Kun Wang, Xiangyu Ke, Yunjun Gao, Wenchao Zhou, Yabo Ni, Anxiang Zeng
2025 J jnl
OneDB: A Distributed Multi-Metric Data Similarity Search System.
CoRR
Tang Qian, Yifan Zhu, Lu Chen, Xiangyu Ke, Jingwen Zhao, Tianyi Li, Yunjun Gao, Christian S. Jensen
2025 J jnl
Reveal Hidden Pitfalls and Navigate Next Generation of Vector Similarity Search from Task-Centric Views.
CoRR
Tingyang Chen, Cong Fu, Jiahua Wu, Haotian Wu, Hua Fan, Xiangyu Ke, Yunjun Gao, Yabo Ni, Anxiang Zeng
2025 J jnl
Scalable Graph Indexing using GPUs for Approximate Nearest Neighbor Search.
CoRR
Zhonggen Li, Xiangyu Ke, Yifan Zhu, Bocheng Yu, Baihua Zheng, Yunjun Gao
2025 J jnl
Scalable Graph Indexing using GPUs for Approximate Nearest Neighbor Search.
Proc. ACM Manag. Data
Zhonggen Li, Xiangyu Ke, Yifan Zhu, Bocheng Yu, Baihua Zheng, Yunjun Gao
2025 J jnl
SliceGX: Layer-wise GNN Explanation with Model-slicing.
CoRR
Tingting Zhu, Tingyang Chen, Yinghui Wu, Arijit Khan, Xiangyu Ke
2025 — conf
Spectral Subspace Clustering for Attributed Graphs.
KDD (1)
Xiaoyang Lin, Renchi Yang, Haoran Zheng, Xiangyu Ke
2025 A* conf
Stitching Inner Product and Euclidean Metrics for Topology-aware Maximum Inner Product Search.
SIGIR
Tingyang Chen, Cong Fu, Xiangyu Ke, Yunjun Gao, Yabo Ni, Anxiang Zeng
2025 J jnl
Stitching Inner Product and Euclidean Metrics for Topology-aware Maximum Inner Product Search.
CoRR
Tingyang Chen, Cong Fu, Xiangyu Ke, Yunjun Gao, Yabo Ni, Anxiang Zeng
2024 J jnl
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs.
CoRR
Zhicheng Liang, Yu Yang, Xiangyu Ke, Xiaokui Xiao, Yunjun Gao
2024 J jnl
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs.
Proc. VLDB Endow.
Zhicheng Liang, Yu Yang, Xiangyu Ke, Xiaokui Xiao, Yunjun Gao
2024 A* conf
Accelerating Biclique Counting on GPU.
ICDE
Linshan Qiu, Zhonggen Li, Xiangyu Ke, Lu Chen, Yunjun Gao
2024 J jnl
Accelerating Biclique Counting on GPU.
CoRR
Linshan Qiu, Zhonggen Li, Xiangyu Ke, Lu Chen, Yunjun Gao
2024 J jnl
An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models.
CoRR
Mengzhao Wang, Haotian Wu, Xiangyu Ke, Yunjun Gao, Xiaoliang Xu, Lu Chen
2024 J jnl
An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models.
Proc. VLDB Endow.
Mengzhao Wang, Haotian Wu, Xiangyu Ke, Yunjun Gao, Xiaoliang Xu, Lu Chen
2024 J jnl
Efficient and effective (k, P)-core-based community search over attributed heterogeneous information networks.
Inf. Sci.
Yuxiang Wang, Chengjie Gu, Xiaoliang Xu, Xinjun Zeng, Xiangyu Ke, Tianxing Wu
2024 A* conf
GPU-Accelerated Batch-Dynamic Subgraph Matching.
ICDE
Linshan Qiu, Lu Chen, Hailiang Jie, Xiangyu Ke, Yunjun Gao, Yang Liu, Zetao Zhang
2024 J jnl
GPU-Accelerated Batch-Dynamic Subgraph Matching.
CoRR
Linshan Qiu, Lu Chen, Hailiang Jie, Xiangyu Ke, Yunjun Gao, Yang Liu, Zetao Zhang
2024 J jnl
GTS: GPU-based Tree Index for Fast Similarity Search.
CoRR
Yifan Zhu, Ruiyao Ma, Baihua Zheng, Xiangyu Ke, Lu Chen, Yunjun Gao
2024 J jnl
GTS: GPU-based Tree Index for Fast Similarity Search.
Proc. ACM Manag. Data
Yifan Zhu, Ruiyao Ma, Baihua Zheng, Xiangyu Ke, Lu Chen, Yunjun Gao
2024 J jnl
HC-SpMM: Accelerating Sparse Matrix-Matrix Multiplication for Graphs with Hybrid GPU Cores.
CoRR
Zhonggen Li, Xiangyu Ke, Yifan Zhu, Yunjun Gao, Yaofeng Tu
2024 A* conf
MUST: An Effective and Scalable Framework for Multimodal Search of Target Modality.
ICDE
Mengzhao Wang, Xiangyu Ke, Xiaoliang Xu, Lu Chen, Yunjun Gao, Pinpin Huang, Runkai Zhu
2024 A* conf
Scalable Community Search over Large-scale Graphs based on Graph Transformer.
SIGIR
Yuxiang Wang, Xiaoxuan Gou, Xiaoliang Xu, Yuxia Geng, Xiangyu Ke, Tianxing Wu, Zhiyuan Yu, Runhuai Chen, Xiangying Wu
2024 A* conf
Scalable Community Search with Accuracy Guarantee on Attributed Graphs.
ICDE
Yuxiang Wang, Shuzhan Ye, Xiaoliang Xu, Yuxia Geng, Zhenghe Zhao, Xiangyu Ke, Tianxing Wu
2024 J jnl
Scalable Community Search with Accuracy Guarantee on Attributed Graphs.
CoRR
Yuxiang Wang, Shuzhan Ye, Xiaoliang Xu, Yuxia Geng, Zhenghe Zhao, Xiangyu Ke, Tianxing Wu
2024 J jnl
Spectral Subspace Clustering for Attributed Graphs.
CoRR
Xiaoyang Lin, Renchi Yang, Haoran Zheng, Xiangyu Ke
2024 J jnl
Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment.
CoRR
Mengzhao Wang, Weizhi Xu, Xiaomeng Yi, Songlin Wu, Zhangyang Peng, Xiangyu Ke, Yunjun Gao, Xiaoliang Xu, Rentong Guo, Charles Xie
2024 J jnl
Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment.
Proc. ACM Manag. Data
Mengzhao Wang, Weizhi Xu, Xiaomeng Yi, Songlin Wu, Zhangyang Peng, Xiangyu Ke, Yunjun Gao, Xiaoliang Xu, Rentong Guo, Charles Xie
2024 — conf
User-friendly, Interactive, and Configurable Explanations for Graph Neural Networks with Graph Views.
SIGMOD Conference Companion
Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao
2024 — conf
View-based Explanations for Graph Neural Networks (Extended Abstract).
ICDEW
Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao
2024 J jnl
View-based Explanations for Graph Neural Networks.
CoRR
Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao
2024 J jnl
View-based Explanations for Graph Neural Networks.
Proc. ACM Manag. Data
Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao
2023 A conf
Effective and Efficient Community Search with Graph Embeddings.
ECAI
Xiaoxuan Gou, Xiaoliang Xu, Xiangying Wu, Runhuai Chen, Yuxiang Wang, Tianxing Wu, Xiangyu Ke
2023 J jnl
Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs.
CoRR
Xin-Wei Cai, Xiangyu Ke, Kai Wang, Lu Chen, Tianming Zhang, Qing Liu, Yunjun Gao
2023 J jnl
Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs.
Proc. VLDB Endow.
Xin-Wei Cai, Xiangyu Ke, Kai Wang, Lu Chen, Tianming Zhang, Qing Liu, Yunjun Gao
2023 J jnl
Efficient and Effective Academic Expert Finding on Heterogeneous Graphs through (
ACM Trans. Knowl. Discov. Data
Yuxiang Wang, Jun Liu, Xiaoliang Xu, Xiangyu Ke, Tianxing Wu, Xiaoxuan Gou
2023 J jnl
Host Profit Maximization: Leveraging Performance Incentives and User Flexibility.
Proc. VLDB Endow.
Xueqin Chang, Xiangyu Ke, Lu Chen, Congcong Ge, Ziheng Wei, Yunjun Gao
2023 J jnl
MUST: An Effective and Scalable Framework for Multimodal Search of Target Modality.
CoRR
Mengzhao Wang, Xiangyu Ke, Xiaoliang Xu, Lu Chen, Yunjun Gao, Pinpin Huang, Runkai Zhu
2023 A* conf
Most Probable Densest Subgraphs.
ICDE
Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long
2023 A* conf
Voting-based Opinion Maximization.
ICDE
Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan
2022 A* conf
Academic Expert Finding via $(k, \mathcal{P})$-Core based Embedding over Heterogeneous Graphs.
ICDE
Xiaoliang Xu, Jun Liu, Yuxiang Wang, Xiangyu Ke
2022 J jnl
Most Probable Densest Subgraphs.
CoRR
Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long
2022 J jnl
Multi-relation Graph Summarization.
ACM Trans. Knowl. Discov. Data
Xiangyu Ke, Arijit Khan, Francesco Bonchi
2022 J jnl
Reliability Maximization in Uncertain Graphs.
IEEE Trans. Knowl. Data Eng.
Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari
2022 J jnl
Voting-based Opinion Maximization.
CoRR
Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan
2021 J jnl
Multi-relation Graph Summarization.
CoRR
Xiangyu Ke, Arijit Khan, Francesco Bonchi
2021 A* conf
Reliability Maximization in Uncertain Graphs (Extended Abstract).
ICDE
Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari
2019 J jnl
An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs.
CoRR
Xiangyu Ke, Arijit Khan, Leroy Lim Hong Quan
2019 J jnl
An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs.
Proc. VLDB Endow.
Xiangyu Ke, Arijit Khan, Leroy Lim Hong Quan
2019 J jnl
Budgeted Reliability Maximization in Uncertain Graphs.
CoRR
Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari
2019 — —
Querying and mining complex graphs : uncertainty and multi-relations
Xiangyu Ke
2018 J jnl
A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors.
Proc. VLDB Endow.
Xiangyu Ke, Michelle Teo, Arijit Khan, Vijaya Krishna Yalavarthi
2018 — conf
Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks.
SIGMOD Conference
Xiangyu Ke, Arijit Khan, Gao Cong
2017 J jnl
Probabilistic Entity Resolution with Imperfect Crowd.
CoRR
Vijaya Krishna Yalavarthi, Xiangyu Ke, Arijit Khan
2017 A conf
Select Your Questions Wisely: For Entity Resolution With Crowd Errors.
CIKM
Vijaya Krishna Yalavarthi, Xiangyu Ke, Arijit Khan