Select Your Questions Wisely: For Entity Resolution With Crowd Errors. - Vijaya Krishna Yalavarthi; Xiangyu Ke; Arijit Khan 001 (CIKM, 2017)

Probabilistic Entity Resolution with Imperfect Crowd. - Vijaya Krishna Yalavarthi; Xiangyu Ke; Arijit Khan 001 (CoRR, 2017)

Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks. - Xiangyu Ke; Arijit Khan 001; Gao Cong (SIGMOD Conference, 2018)

A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors. - Xiangyu Ke; Michelle Teo; Arijit Khan 001; Vijaya Krishna Yalavarthi (Proc. VLDB Endow., 2018)

Budgeted Reliability Maximization in Uncertain Graphs. - Xiangyu Ke; Arijit Khan 001; Mohammad Al Hasan; Rojin Rezvansangsari (CoRR, 2019)

An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs. - Xiangyu Ke; Arijit Khan 001; Leroy Lim Hong Quan (Proc. VLDB Endow., 2019)

Querying and mining complex graphs : uncertainty and multi-relations - Xiangyu Ke (2019)

Reliability Maximization in Uncertain Graphs (Extended Abstract). - Xiangyu Ke; Arijit Khan 001; Mohammad Al Hasan; Rojin Rezvansangsari (ICDE, 2021)

Academic Expert Finding via $(k, mathcal{P})$-Core based Embedding over Heterogeneous Graphs. - Xiaoliang Xu; Jun Liu; Yuxiang Wang 001; Xiangyu Ke (ICDE, 2022)

Multi-relation Graph Summarization. - Xiangyu Ke; Arijit Khan 001; Francesco Bonchi (ACM Trans. Knowl. Discov. Data, 2022)

Reliability Maximization in Uncertain Graphs. - Xiangyu Ke; Arijit Khan 001; Mohammad Al Hasan; Rojin Rezvansangsari (IEEE Trans. Knowl. Data Eng., 2022)

Effective and Efficient Community Search with Graph Embeddings. - Xiaoxuan Gou; Xiaoliang Xu; Xiangying Wu; Runhuai Chen; Yuxiang Wang 001; Tianxing Wu 001; Xiangyu Ke (ECAI, 2023)

Voting-based Opinion Maximization. - Arkaprava Saha; Xiangyu Ke; Arijit Khan 001; Laks V. S. Lakshmanan (ICDE, 2023)

Most Probable Densest Subgraphs. - Arkaprava Saha; Xiangyu Ke; Arijit Khan 001; Cheng Long 001 (ICDE, 2023)

Host Profit Maximization: Leveraging Performance Incentives and User Flexibility. - Xueqin Chang; Xiangyu Ke; Lu Chen 001; Congcong Ge; Ziheng Wei; Yunjun Gao (Proc. VLDB Endow., 2023)

Efficient and Effective Academic Expert Finding on Heterogeneous Graphs through (k, 𝒫)-Core based Embedding. - Yuxiang Wang 001; Jun Liu; Xiaoliang Xu; Xiangyu Ke; Tianxing Wu 001; Xiaoxuan Gou (ACM Trans. Knowl. Discov. Data, 2023)

Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs. - Xin-Wei Cai; Xiangyu Ke; Kai Wang; Lu Chen 001; Tianming Zhang; Qing Liu 008; Yunjun Gao (Proc. VLDB Endow., 2023)

Scalable Community Search with Accuracy Guarantee on Attributed Graphs. - Yuxiang Wang 001; Shuzhan Ye; Xiaoliang Xu; Yuxia Geng; Zhenghe Zhao; Xiangyu Ke; Tianxing Wu 001 (ICDE, 2024)

View-based Explanations for Graph Neural Networks (Extended Abstract). - Tingyang Chen; Dazhuo Qiu; Yinghui Wu 001; Arijit Khan 001; Xiangyu Ke; Yunjun Gao (ICDEW, 2024)

GPU-Accelerated Batch-Dynamic Subgraph Matching. - Linshan Qiu; Lu Chen 001; Hailiang Jie; Xiangyu Ke; Yunjun Gao; Yang Liu; Zetao Zhang (ICDE, 2024)

Accelerating Biclique Counting on GPU. - Linshan Qiu; Zhonggen Li; Xiangyu Ke; Lu Chen 001; Yunjun Gao (ICDE, 2024)

MUST: An Effective and Scalable Framework for Multimodal Search of Target Modality. - Mengzhao Wang; Xiangyu Ke; Xiaoliang Xu; Lu Chen 001; Yunjun Gao; Pinpin Huang; Runkai Zhu (ICDE, 2024)

Scalable Community Search over Large-scale Graphs based on Graph Transformer. - Yuxiang Wang 001; Xiaoxuan Gou; Xiaoliang Xu; Yuxia Geng; Xiangyu Ke; Tianxing Wu 001; Zhiyuan Yu; Runhuai Chen; Xiangying Wu (SIGIR, 2024)

User-friendly, Interactive, and Configurable Explanations for Graph Neural Networks with Graph Views. - Tingyang Chen; Dazhuo Qiu; Yinghui Wu 001; Arijit Khan 001; Xiangyu Ke; Yunjun Gao (SIGMOD Conference Companion, 2024)

Efficient and effective (k, P)-core-based community search over attributed heterogeneous information networks. - Yuxiang Wang 001; Chengjie Gu; Xiaoliang Xu; Xinjun Zeng; Xiangyu Ke; Tianxing Wu 001 (Inf. Sci., 2024)

GTS: GPU-based Tree Index for Fast Similarity Search. - Yifan Zhu 002; Ruiyao Ma; Baihua Zheng; Xiangyu Ke; Lu Chen 001; Yunjun Gao (Proc. ACM Manag. Data, 2024)

View-based Explanations for Graph Neural Networks. - Tingyang Chen; Dazhuo Qiu; Yinghui Wu 001; Arijit Khan 001; Xiangyu Ke; Yunjun Gao (Proc. ACM Manag. Data, 2024)

Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment. - Mengzhao Wang; Weizhi Xu 003; Xiaomeng Yi; Songlin Wu; Zhangyang Peng; Xiangyu Ke; Yunjun Gao; Xiaoliang Xu; Rentong Guo; Charles Xie (Proc. ACM Manag. Data, 2024)

A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs. - Zhicheng Liang; Yu Yang 001; Xiangyu Ke; Xiaokui Xiao; Yunjun Gao (Proc. VLDB Endow., 2024)

An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models. - Mengzhao Wang; Haotian Wu; Xiangyu Ke; Yunjun Gao; Xiaoliang Xu; Lu Chen 001 (Proc. VLDB Endow., 2024)

HC-SpMM: Accelerating Sparse Matrix-Matrix Multiplication for Graphs with Hybrid GPU Cores. - Zhonggen Li; Xiangyu Ke; Yifan Zhu 002; Yunjun Gao; Yaofeng Tu (ICDE, 2025)

Spectral Subspace Clustering for Attributed Graphs. - Xiaoyang Lin; Renchi Yang; Haoran Zheng; Xiangyu Ke (KDD (1), 2025)

Stitching Inner Product and Euclidean Metrics for Topology-aware Maximum Inner Product Search. - Tingyang Chen; Cong Fu 001; Xiangyu Ke; Yunjun Gao; Yabo Ni; Anxiang Zeng (SIGIR, 2025)

Cohesiveness-aware Hierarchical Compressed Index for Community Search on Attributed Graphs. - Yuxiang Wang 001; Zhangyang Peng; Xiangyu Ke; Xiaoliang Xu; Tianxing Wu 001; Yuan Gao (Proc. ACM Manag. Data, 2025)

Maximum Inner Product is Query-Scaled Nearest Neighbor. - Tingyang Chen; Cong Fu 001; Kun Wang 024; Xiangyu Ke; Yunjun Gao; Wenchao Zhou; Yabo Ni; Anxiang Zeng (Proc. VLDB Endow., 2025)

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration. - Zhonggen Li; Xiangyu Ke; Yifan Zhu 002; Yunjun Gao; Feifei Li 001 (CoRR, 2025)

In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration. - Jiajie Fu; Haitong Tang; Arijit Khan 001; Sharad Mehrotra; Xiangyu Ke; Yunjun Gao (CoRR, 2025)

Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities. - Jiancheng Ruan; Tingyang Chen; Renchi Yang; Xiangyu Ke; Yunjun Gao (CoRR, 2025)

SliceGX: Layer-wise GNN Explanation with Model-slicing. - Tingting Zhu; Tingyang Chen; Yinghui Wu 001; Arijit Khan 001; Xiangyu Ke (CoRR, 2025)

Accelerating Graph Indexing for ANNS on Modern CPUs. - Mengzhao Wang; Haotian Wu; Xiangyu Ke; Yunjun Gao; Yifan Zhu 002; Wenchao Zhou (Proc. ACM Manag. Data, 2025)

Graph Data Management and Graph Machine Learning: Synergies and Opportunities. - Arijit Khan 001; Xiangyu Ke; Yinghui Wu 001 (SIGMOD Rec., 2025)

OneDB: A Distributed Multi-Metric Data Similarity Search System. - Tang Qian; Yifan Zhu 002; Lu Chen 001; Xiangyu Ke; Jingwen Zhao; Tianyi Li 005; Yunjun Gao; Christian S. Jensen (CoRR, 2025)

Balancing the Blend: An Experimental Analysis of Trade-offs in Hybrid Search. - Mengzhao Wang; Boyu Tan; Yunjun Gao; Hai Jin 011; Yingfeng Zhang; Xiangyu Ke; Xiaoliang Xu; Yifan Zhu 002 (CoRR, 2025)

Scalable Graph Indexing using GPUs for Approximate Nearest Neighbor Search. - Zhonggen Li; Xiangyu Ke; Yifan Zhu 002; Bocheng Yu; Baihua Zheng; Yunjun Gao (CoRR, 2025)

Beyond influence: voting theory for opinion maximization. - Arkaprava Saha; Xiangyu Ke; Arijit Khan 001; Laks V. S. Lakshmanan (VLDB J., 2025)